Abstract
Endometriosis is characterized as the presence of ectopic endometrial tissue outside of the uterine, most generally
in the ovaries and peritoneum. It is an illness that is impacted by various elements. It is additionally a typical
gynaecological confusion and influences roughly 10-15% of all women of regenerative age. Later molecular and
pathological examinations demonstrate that endometriosis may fill in as an antecedent of ovarian malignant growth
(endometriosis associated ovarian disease, EAOC), especially endometrioid furthermore, clear cell ovarian malignant
growths. Albeit histological and epidemiological investigations have shown that endometriosis has a malignant
potential, the molecular component that underlies the harmful change of endometriosis is as yet questionable,
and the exact component of carcinogenesis must be completely illustrated. At present, the advancement and
improvement of another sequencing innovation, next-generation sequencing (NGS), has been progressively
significant in malignant growth genomics examine. Lately, NGS has likewise been used in clinical oncology to
propel the customized treatment of malignancy. Also, the affectability, speed, and cost make NGS a profoundly
alluring stage contrasted with other sequencing modalities. Thus, NGS may lead to the recognizable proof of driver
mutations and fundamental pathways related with EAOC. Our sole motivation behind the study was to decipher
new variants if any and report any unreported variants identified with genes. We have performed a variant analysis
investigation with the assistance of Next Generation Sequencing GALAXY device accessible on the web.
Keywords
Endometriosis; Next Generation Sequencing; Variant analysis; Novel variants
Introduction
Endometriosis (E) is benign gynaecological condition, debilitating,
estrogens-subordinate, progesterone-safe, inflammatory issue
related with pelvic pain and infertility, with endometrial (uterine
covering)-like tissue present outside the uterus (Giudice). By
retrograde menstruation, endometrial tissue cells are transplanted
to the pelvis (Sampson) where they set up a blood supply, react to
cyclic hormones, develop, attack encompassing structures, progress
toward becoming innervated (Berkley, et al.; Tokushige, et al.), and
inspire a nearby inflammatory reaction and scarring (Giudice LC)
[1,2].
Endometriosis influences 5%–10% of regenerative age women
(Eskenazi and Warner) [3] and half of women with pelvic pain
as well as infertility (>100 million women around the world)
(Meuleman et al.) [4] and is a noteworthy reason for inability and
bargained personal satisfaction (Sasson and Taylor; Anglesio, et
al.) [5-7]. Pelvic, lower stomach and back pain, and urinary and
gastrointestinal indications make diagnosis challenging, on the
grounds that numerous indications are nonspecific or are related
with different disorders (Giudice) [8]. Pelvic inflammation and
nerve invasion result in pain (Berkley, et al.; Tokushige, et al.) [9,10],
and infertility is expected to ovulatory dysfunction, poor egg quality,
unusual (progesterone-safe) uterine endometrium, and bargained
embryo implantation (Giudice; Bulun SE) [1,8,11]. The meaning of
endometriosis is histological and requires the distinguishing proof
of the presence of endometrial organ and stroma-like tissue outside
the uterus (Sourial) [12]. A few hypotheses have shown that the
histogenesis of endometriosis is that emanating streams retrograde
through the lumen of the fallopian tubes into the pelvic-peritoneal
depressions at feminine cycle (Robboy and Bean; Robboy, et al.)
[13,14].
Moreover, it can create distant foci through expansion, connection,
and intrusion of endometrial glandular epithelial tissue to distant
organs (Somigliana, et al.) [15]. The most normally influenced
parts of the body incorporate the ovaries, fallopian tubes, bladder,
rectosigmoid colon, and myometrium (Giudice; Pavone and Lyttle)
[1,16]. Another hypothesis, the coelomic metaplasia hypothesis,
recommends that endometriosis emerges from the metaplasia of
cells that line the instinctive and stomach peritoneum following
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appeared to be imperative in a few hormone-responsive malignant
growths (Rae; Ghosh) [36,37]. Another GWAS on 2,109 instances
of endometriosis in 2013 performed by Albertsen et al additionally
demonstrated that SNPs related with WNT4 were related with the
development of endometriosis (Albertsen, et al.) [38], affirming
Results
recently observed by Uno et al in 2010 (Uno, et al.) and
Painter et al in 2011 (Painter) [39,40]. An ongoing GWAS meta-
investigation by Uimari, et al [41] showed certain cellular control
pathways which were enhanced in endometriosis; MAPK-related
pathways controlling cell survival, movement, division, and gene
expression, also pathways associated with extracellular matrix
structure (Uimari O et al.) [41]. Likewise in 2017, Sapkota et al
distinguished five novel loci in sex steroid hormone pathways
related with endometriosis hazard (FN1, CCDC170, ESR1, SYNE1
and FSHB) (Sapkota Y, et al.) [42]. While GWAS information
can give knowledge into genomic abnormalities that incline to
endometriosis, further hereditary and useful examination is vital
so as to completely comprehend the basic mechanisms responsible
of the disease phenotype (Fung) [43].
Disease characteristics and clinical overview
The clinical determination of endometriosis is challenging,
as signs and side effects may differ significantly and there is an
absence of reliable indicative serum biomarkers (Berker and
Seval) [44]. Raised dimensions of the biomarker CA-125 are not
explicit since they can show the presence of different gynaecologic
pathologies, for example, endometriosis, ovarian malignancies or
irritation (Moss, et al.) [45]. Now and again, dimensions of the
serum biomarker HE4 can be utilized to recognize endometriosis
from ovarian and endometrial malignancies (Huhtinen, et al.)
[46]. In numerous patients, endometriosis is clinically presumed
dependent on history and examination, and treated experimentally
with hormonal treatment (e.g. estrogen-progestin contraceptives or
progestin-only treatments) without medical procedure (Leyland, et
al.) [47]. A reliable indicative serum biomarker would speak to a
noteworthy development for clinically diagnosing endometriosis
(Berker and Seval) [44].
Medical procedure with histological affirmation of ectopic
endometrial organs and stroma remains the best standard for
determination (Mykes, et al.; Hori and Committee) [48,49].
Medical procedure is commonly held for patients who fail
medicinal treatment, or who want pregnancy, and is generally
performed by laparoscopy (Burney and Giudice, 2012; Eskenazi
and Warner; Rogers, et al.; Burghaus, et al.; Wykes, et al.) [3,50-
53]. Gonadotropin-discharging hormone agonists are additionally
utilized in serious cases. Other potential treatment alternatives
incorporate hormone receptor (estrogen or progesterone)
modulators, invulnerable modulators, aromatase inhibitors,
and against angiogenic drugs (Bedaiwy, et al.; Streuli, et al.)
[54,55]. There are various brilliant clinical surveys distributed
on endometriosis. There are three subtypes of endometriosis
portrayed in patients that can be clinically distinguished:
ovarian endometriosis (endometriomas), superficial peritoneal
endometriosis, and deep infiltrating endometriosis. Endometriotic
sores have been appeared to have modified estrogen biosynthesis
and are estrogen subordinate. Estrogen dysregulation gives off an
impression of being connected to expanded aromatase articulation
and action (Bukulmez, et al.) [56]. Also, protection from the
counter proliferative impacts of progesterone is related with a move
in estrogen receptor isoform articulation bringing about estrogen-
intervened restraint of progesterone receptor articulation (Han
hormonal, ecological, or irresistible incitement (Overton, et al.)
[17]. A later hypothesis underpins stem/ progenitor cells and bone
marrow-determined immature microorganisms in the pathogenesis
of endometriosis (Sasson and Taylor) [5]. Notwithstanding,
Anglesio. recognized substantial malignant growth driver
mutations in the glandular epithelium of deep infiltrating
endometriosis sores, and the authors recommended that the
undifferentiated cell related hypothesis requires extra investigations
to affirm the rational of a speculation (Anglesio, et al.) [7].
Additionally, (Noe, et al.) recognized 19 mutations enhanced in
epithelial however not in stromal sores utilizing bead advanced
PCR innovation [18]. The authors proposed another theory that
epithelial and stromal segments in creating endometriotic sores
co-create from independent ancestors. As right on time as 1925,
Sampson proposed a potential relationship among's endometriosis
and malignant change (Sampson) [19]. Czernobilsky and Morris
portrayed a "middle stage" in the harmful change alluded to as
"atypical endometriosis"; it is as of now characterized by the level
of dysplastic histologic atypia (Czernobilsky and Morris) [20].
Quite, endometriosis is viewed as a potential pre-intrusive sore
and is as of now named a tumor-like sore under the World Health
Organization (WHO) histologic arrangement of ovarian tumors.
Lately, Tsai et al. (Tai et al.) [21] demonstrated that patients with
pelvic incendiary ailment had a three-fold increment in the danger
of creating endometriosis dependent on the National Health
Insurance Research Database (NHIRD) of Taiwan. The hidden
mechanism of endometrisis might be related with three unique
procedures:
Endometriosis pieces move from the uterus through the fallopian
tubes amid retrograde feminine cycle, spreading these endometriosis
sections to the peritoneal depression and embedding on the serosal
surface. Metaplasia of the coelom and Vascular and lymphatic
metastatic spread (Sasson and Taylor; Anglesio; Bulun; Sampson;
Sampson; Figueira) [5,6,11,19,22].
Risk factors and Etiology of endometriosis
Huge hazard factors for the development of endometriosis
incorporate conditions that increase the odds of retrograde
menstruation and hereditary/genetic factors. Hazard factors for
endometriosis incorporate early menarche, nulliparity, broken
uterine bleeding, variant estrogen levels (Darrow; Signorello, et al.;
Cramer, et al.; Candiani, et al.), and low weight record (Signorello,
et al.) [23-26]. Factors, for example, sufficient exercise might be
precaution against development of endometriosis (Kvaskoff) [27].
It is realized that the occurrence of endometriosis in women with
first-degree relatives who likewise have the ailment might be up
to multiple times higher than that of the all inclusive population
(Matalliotakis; Treloar) [28,29]. There is probably going to be
a multifactorial hereditary inclination for endometriosis, and
genome-wide association studies (GWAS) have shown single-
nucleotide polymorphism (SNP) profiles which may expand the
danger of endometriosis in people (Rahmioglu) [30]. In 2012,
Nyholt et al (Nyholt, et al. 2012] [31] distinguished 18 genomic
areas harboring 38 putative endometriosis-related SNPs in a GWAS
including 4,604 instances of endometriosis.
Among the huge aberrations distinguished were SNPs related
with the WNT4 gene, known to be critical in reproductive
tract differentiation and advancement in mammalian females
(Jaaskelainen; Vainio et al.) [32,33] just as steroidigenesis (Boyer
A et al.) [34], VEZT, appeared to be down regulated in gastric
diseases (Guo X et al.) [35], and GREB1, an estrogen-managed gene
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and O’Malley, et al.) [57]. Moreover, epigenetic changes identified
with modifications in hormonal flagging pathways have likewise
been accounted for (Guo, et al.) [58]. Notwithstanding irregular
characteristics in hormone control, oxidative stress brought about
by high iron levels has been accounted for to prompt expanded levels
of somatic mutations (Kobayashi, et al.) [59]. Vercellini's 'relentless
menstruation theory's (Vercellini, et al.) [60] refers to retrograde
transport of blood, endometrial tissue, and cancer-causing agents
as conceivably prompting the beginning of both endometriosis, as
well as serous, endometrioid, and clear cell ovarian tumors. Large
amounts of oxidative stress and iron exposure are the result of the
inflammatory reaction that may emerge from either retrograde
feminine cycle or the endometriosis itself. Oxidative stress prompts
expanded angiogenesis, endometriosis expansion, and specific iron-
interceded DNA harm prompting potential oncogene mutations
(Toyokuni, et al.) [61]. Nearby and fundamental inflammatory
reactions likely assume a key job in the reason for unending pain
and infertility (Ota, et al.; Lin, et al.; Ahn, et al.; Zhang, et al.;
McKinnon, et al.) [62-66]. In this way, inflammatory reactions,
alongside the known hormonal dysregulation in endometriotic
inserts, may drive carcinogenesis (Worley, et al.) [67]. While
some EAOCs emerge with clearly related endometriosis, this
isn't generally the situation. Curiously, numerous EAOC need
recognizable endometriotic antecedent sores as they might be
annihilated by the subsequent EAOC or just not identified because
of testing constraints.
Endometriosis-associated ovarian cancer
Endometriosis is related with 15%-half of clear-cell and
endometrioid ovarian tumors, and there is a two-to three-fold
increment in ovarian malignancy in people with endometriosis
(Brinton, et al.; Rossing, et al.; Forte, et al.) [68-70]. Endometriosis-
associated ovarian disease (EAOC) might be created through
various components contrasted with non-endometriosis related
ovarian malignancy. Also, EAOC introduces at a prior stage and
with lower-grade sores than non-EAOC. Till date, numerous
examinations, including deliberate reviews (Nezhat, et al.; Kvaskoff,
et al.) [71,72] and meta-investigations (Somigliana E, et al.; Pearce,
et al.) [15,73], have shown that women with endometriosis may
have an expanded danger of epithelial ovarian cancer (EOC).
Besides, another investigation bolsters the idea that endometriosis
is a malignant change and that the histogenesis of endometriosis
subject to a few components, including hereditary modifications,
hormonal, and immunological variables (Pavone and Lyttle) [16].
Lately, Matalliotakis (Matalliotakis, et al.) [74] distinguished 20
instances of endometriosis associated ovarian malignant growth in
1,000 ladies with endometriosis, among which endometrioid disease
(60%) was the most continuous, trailed by clear cell carcinoma
(20%) and serous and mucinous adenocarcinomas (20%). Also,
Kok et al. (Kok, et al. 2015) [75] showed that ovarian endometriosis
is related with a 4-fold expanded danger of ovarian malignancy.
Molecular evidence recommends that clear cell carcinoma (CCC)
and endometrioid ovarian cancer (ENOC) emerge specifically
from endometriotic sores. Very recently, a few complete survey
articles concentrated on the endometriosis and EAOC (Bulun;
Dawson, et al.; Oda, et al.; Anglesio and Yong; Zondervan, et al.)
[6,11,76-78] and have featured ongoing updates and advance in the
pathogenesis of endometriosis and EAOC dependent on clinical,
genomic, and immunological viewpoints. However, the molecylar
component that underlies the malignant change of endometriosis
stays disputable, and the exact component of carcinogenesis has
not yet been elucidated. The various elements detailed in the
pathogenesis of endometriosis-related ovarian malignancy are
outlined in (Figure 1).
Development of EAOC from endometriosis
The idea that endometriosis is the forerunner lesion of some
ovarian malignant growth subtypes has been upheld by various
lines of examination. The affiliation was noted by pathological
techniques, however epidemiological, and hereditary examinations
have been important (Sampson, et al.; Sampson, et al.; Vercellini.;
LaGrenade and Silverberg, et al.; Fukunaga, et al.; Pearce, et al.;
Jiang, et al.; Scott; Lu, et al.; Prowse, et al.; McMeekin, et al.; Sainz
de la Cuesta, et al.) [73,79,80-88]. Jiang et al depicted a portion
of the principal contemplates recommending a molecular basis
connecting endometriosis with cancer development in 1998.
They exhibited a similar loss of heterozygosity (LOH) occasions
in endometriosis lesion and contiguous endometrioid ovarian
malignant growths in 82% of cases inspected (n=11) (Jiang, et al.)
[83]. Comparable proof was accounted for by Prowse et al in 2006,
who exhibited normal LOH occasions in both endometrioid and
clear cell OCs and their related endometriosis lesion, including
both nearby and contralateral endometriosis (Prowse, et al.) [86].
Moreover, LOH bringing about PTEN loss might be an early
driver occasion in the beginning of in EAOC from endometriosis
(Worley, et al.; Sato, et al.) [89,90]. Throughout the most recent 7
years, sequencing and immunohistochemical research have given
corroborative proof that changes found in endometriosis-related
malignant growths are found in adjoining endometriosis. These
sequencing examines unmistakably exhibit a clonal connection
among benign and malignant partners affirming that the malignant
growths have actuality emerged from the endometriotic lesions
(Stamp, et al.; Anglesio, et al.; Wiegand, et al.; Chene, et al.) [91-
94]. Somatic mutations and other genomic deviations are found
in endometriosis that have been embroiled in the advancement
of cancer. Mutations in TP53 (Bischoff, et al.; Sainz de la Cuesta,
et al.) [95,96] KRAS (Anglesio, et al.; Vestergaard, et al.)
[7,97], PTEN (Sato, et al.), PIK3CA (Laudanski, et al.; Yamamoto,
et al.) [98,99], and ARID1A gene locales (Anglesio, et al.) have
been portrayed. Loss of expression of mismatch repair proteins
(Grassi, et al.) [100], microsatellite precariousness (Fuseya, et
al.) [101], and tissue-explicit gene copy number changes (Yang, et
al. 2013; Mafra, et al.) [102,103], may likewise be found in
endometriosis sores. LOH in endometriosis at known oncogenic
loci is additionally habitually observed (Sato, et al.; Ali-Fehmi, et
al.; Xu, et al.; Obata and Hoshiai, et al.; Thomas and Campbell,
et al.; Jiang, et al.; Silveira, et al.) [83,90,104-108]. SNPs that are
related with oncogenic change (seen in GWAS datasets) have
Figure 1: Pathogenesis of EAOC.
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been recognized in instances of endometriosis (Nyholt, et al.;
Albertsen, et al.; Uno, et al.; Painter, et al.) [31,38-40]. In 2015, a
meta-investigation detailed by Lee et al including more than 15,000
ovarian disease patients, assessed the 38 putative endometriosis-
related SNPs distinguished by Nyholt in 2012 (Nyholt, et al.). Eight
of these were related with critical hazard for ovarian malignancy
(rs7515106, rs7521902, rs742356, rs4858692, rs1603995,
rs4241991, rs6907340, and rs10777670) (Lee, et al.) [109]. Likewise
in 2015, Lu et al exhibited shared hereditary hazard among
endometriosis and epithelial ovarian malignancy, especially clear-
cell and endometrioid histotypes utilizing genome wide affiliation
(GWAS) datasets (Lu, et al.) [85].
ARID1A is a tumor silencer gene that was observed to be
transformed in an extensive number of EAOC (Wiegand, et al.)
[93]. Examiners were initially eager to find that up to 42–61% of
CCC and 21–33% EnOC show loss of the comparing ARID1A gene
protein articulation (BAF250a) on IHC (Stamp, et al.; Wiegand,
et al.; Yamamoto, et al.) [91,93,110]. ARID1A manages essential
celularl capacities (expansion and genomic stability) as a tumor
silencer gene; along these lines, it was believed that it may play a
role in the change of endometriosis to malignancy (Wu, et al.) [111].
In 2015, Anglesio et al showed that clear cell ovarian carcinomas
imparted numerous transformations to related simultaneous
endometriosis sores, incorporating mutations in ARID1A. Shared
transformations in PIK3CA were additionally distinguished among
endometriosis and clear-cell sores, an occasion happening in early
movement components in other malignant growth types (Anglesio,
et al.). This investigation unmistakably exhibited depicted
transformations in coterminous endometriosis shared by EAOC,
and even some distant sores contained the equivalent (PIK3CA and
ARID1A) transformations. Studies looking at BAF250a expression
by IHC demonstrate that in simply over half of the announced
instances of EAOC, loss of BAF250a expression is seen most of
the time (67–80%) in regions of coterminous endometriosis or
atypical endometriosis, and that lost Baf250a protein expression
appeared to be an early molecular occasion in the advancement of
Baf250a-negative EAOC (Stamp, et al.; Chene, et al.; Nishikimi,
et al.) [91,94,112]. Strangely, ARID1A transformations are not
adequate all alone to cause malignancy (Guan, et al.) [113]. In help
of this perception, Borrelli et al portrayed halfway loss of BAF250a
in ordinary endometrium without disease (Borrelli, et al.) [114].
An imperative examination lately announced that that 65% of
malignancy causing genomic variations are arbitrary DNA repair
anomalies (Tomasetti and Vogelstein, et al.) [115]. Bringing this
data into context, one can infer that BAF250a loss in endometriosis
could speak to an EAOC antecedent sore; nonetheless, ARID1A
transformations are neither a fundamental driver transformation
nor a critical determinant of the malignant phenotype. The
presence of transformations in endometriosis is an indication of
more extensive genomic interruption prompting the advancement
of EAOC. Figure 2 demonstrates a schematic of the foundation
and development of endometriosis sores to EAOC. Investigations
have been finished looking at patient results in EAOC dependent
on the presence or absence of BAF250a expression. In view of
the accessible proof, it still can't seem to be resolved concerning
whether there are contrasts in visualization or treatment results
identified with BAF250a loss in EAOC (Katagiri, et al.; Lowery, et
al.) [116,117]. There are couple of recognizable proteomic changes
in a board of proteins assessed by reverse phase protein array
(RPPA) recommending that BAF250a loss does not characterize a
particular proteomic signature (Wiegand, et al.) [118]. Moreover,
the presence or absence of an endometriosis antecedent sore in
EAOC has not been related with change in overall disease result
(Minlikeeva, et al.) [119].
Endometriosis as neoplasm
Deep infiltrating endometriosis is an intriguing uncommon subtype
of endometriosis which was lately exposed to genomic assessment.
Deep endometriosis has a penchant to locally attack encompassing
structures (entrail, bladder, ureter) yet seldom metastasises.
Anglesio et al showed the presence of somatic mutation occasions
in 79% of 24 cases, with 26% of all cases screened harbouring
measurably somatic mutation in known malignant growth driver
genes, for example, KRAS, PIK3CA, ARID1A, and PPP2R1A.
In the investigation of a littler subset of tests, mutations in KRAS
observed to be available in the epithelial part of endometriosis
sores were missing in the stroma. Moreover, one patient was
found to have the equivalent KRAS transformation in three
spatially unmistakable endometriosis sores. While these molecular
occasions are usually found in EAOCs, this investigation showed
their essence in deep infiltrating endometriosis. While customarily
oncogenic driver transformations (like KRAS) were available in a
quarter of tests, they didn't seem to demonstrate the probability
of the sore to advance into a gynaecologic malignant growth nor
have all the earmarks of being required for the improvement of the
deep-infiltrating sores.
This recommends extra or distinctive molecular components
might be having an effect on everything in the improvement of
endometriosis, and future research utilizing an expansive cluster
of molecular advances (epigenetic, grafting deviations, complex
chromosomal adjustments, transcriptome, proteome and post-
translational changes) to examine the functional science of
endometriosis is justified. Novel molecular innovations may
likewise help clarify the biology of clonally indistinguishable
sores in a similar patient. At long last, the bizarre presence of
endometriosis in lymph hubs has been portrayed, with a few cases
indicating BAF250a loss (Borrelli, et al.) [114]. Consequently, one
may expect that these extremely irregular cases are molecularly
particular as they copy locally metastatic malignant growths. Maybe
even the deep-infiltrating subtype of endometriosis, which shows
unequivocal intrusion of encompassing tissues, might be more
fittingly considered a neoplasm than a benign condition. Better
comprehension of the molecular pathology of this disease may give
helpful procedures to analyze and treat complex cases, with the
Objective
of decreasing morbidity and ailment inconveniences like
infertility.
Advanced technologies are revolutionizing the aspects of the
athogenesis of endometriosis
The next-generation sequencing (NGS) stage will significantly affect
Figure 2: Erythema in heliotrope.
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Gene Technol, Vol.9 Iss.2 No:153
disease diagnosis, management and treatment and anticipating
Result
and reaction (Meldrum, et al.) [120]. NGS innovation is a
plausible and solid strategy with that might be utilized to identify
novel and uncommon somatic mutations. Also, NGS has been
effectively utilized to distinguish germline and somatic mutations
in a different of malignancies, including gynecological cancer
(Evans, and Matuloni) [121], and it can go about as a diagnostic
technique and aiding the customized treatment of malignant
growth (Valtcheva, et al.) [122]. What's more, NGS innovation
substantially affects precision medication and hazard assessment,
including early diagnosis, prognosis, and optimization of treatment
choice (Morash, et al.; Fountzilas and Tsimberidou) [123,124]. By
performing genomic screening by means of NGS innovation, it is
conceivable to distinguish whether a patient has previous hereditary
conditions that would make them progressively susceptible to
creating malignancy in their lifetime (Meldrum, et al.) [120]. In the
ongoing years, NGS has been used to describe genomic alterations
in EAOC. A few investigations had shown the utility of NGS in
recognizing driver mutations in EAOC patients utilizing whole
genome sequencing and target sequencing (Wiegand, et al.; Er,
et al.) [93,125]. In our past investigation, ultra-deep (>1000×)
target sequencing was performed on 409 cancer related genes to
distinguish pathogenic changes related with EAOC, and hopeful
genes prescient of threatening change were recognized (Zondervan,
et al.) [78]. In light of these discoveries, the recognized driver
mutations for benign to premalignant sores could be focuses to
control the early diagnosis and avoidance of EAOC. As recently
examined, endometriosis is a confusion in which the endometriotic
tissue is outside the uterus, andit is commonly thought to be
a benign sickness. Also, we realized that NGS or ultra-deep
sequencing empowers the revelation of novel sequence variants.
(Li, et al.) [126] recently demonstrated that hereditary changes in
cyto-skeletal and chromatin re-modelling proteins assume a critical
job in the pathogenesis of endometriosis utilizing whole-exome
sequencing. Lately, exome sequencing likewise yielded promising
discoveries that sores in deep infiltrating endometriosis, which are
related with for all intents and purposes no danger of malignant
transformation, harbor substantial malignant growth driver
mutations (Anglesio, et al.). In spite of the fact that endometriosis
is viewed as a benign issue, the consequences of NGS innovation
recommend another point of view, that the glandular epithelium
of deep infiltrating endometriosis injuries harbor understood
malignant related somatic transformations. Suda K et al. (Suda,
et al.) [127] distinguished numerous malignant related somatic
transformations in epithelial cells from ovarian endometriosis
and ordinary endometrium utilizing whole exome sequencing.
They affirmed that KRAS and PIK3CA were the most oftentimes
transformed genes in endometriotic and ordinary uterine
endometrial epithelium tests utilizing target-gene sequencing.
They additionally showed that clonal extension of epithelial
cells with malignant related somatic transformations prompts
the advancement of endometriosis. These discoveries reinforce
the past hypothesis that the root of endometriosis happens at
the genomic level. Lately, Lac, et al.) [128] distinguished physical
somatic driver transformations in incisional endometriosis and
profound invading endometriosis utilizing an overly sensitive
malignant growth hotspot sequencing board, incorporating
hotspot changes in KRAS, ERBB2, PIK3CA and CTNNB1. Taken
together, NGS innovation may enable us to grow our insight into
the pathogenesis of endometriosis and subvert the traditional
hypothesis. These examinations have involved endometriosis as a
potential premalignant issue and have demonstrated it might give
chances to diagnostics and treatments sooner rather than later. In
any case, the impact and job of malignant related transformations
in the pathogenesis of endometriosis must be completely clarified.
Materials
The variant analysis was performed on study accession
PRJNA326570 where sample SRR3711510 and SRR3711512 were
considered as a control sample for rest all 8 samples (SRR3711641,
SRR3711642, SRR3711644, SRR3711645, SRR3711646,
SRR3711647, SRR3711648 and SRR3711649). For NGS data
analysis the library layout was Illumina sequenced. In the Illumina
platform, the raw reads produced by the sequencing machine are
shown in FASTQ, viewed as the standard design configuration of
sequencing reads. The prepared library for the sample is a single-
end library.
Methods
Next-generation sequencing is an incredible asset for recognizing
uncommon and de novo variations, disease mapping, and
evaluating expression levels. For the investigation, NGS reads
are first adjusted to a reference genome, and afterward exposed
to variant calling after fundamental quality control strategies. The
alignment is pivotal for variant calling precision, and BWA is a
broadly utilized aligner with great execution. Galaxy system is a
web open application for high-throughput genomics, uncovering
well known third-party data sources and standard bioinformatics
investigation bundles in an incorporated and steady structure,
intended to help scholar clients performing reproducible
examinations. There is a free open site (http://usegalaxy.org). To
import information, we utilized the ENA (European nucleotide
document) governs by EMBL (website https://www.ebi.ac.uk/ena).
When the file is uploaded from the ENA FASTQ Groomer (Galaxy
Tool Version 1.1.1) is performed. It changes over between different
FASTQ quality organizations. FASTQ Groomer is open-source
toolset was executed in Python and has been coordinated into the
online data examination platform Galaxy (Goss, et al.; Nichols et
al.) [129,130]. After grooming of the data quality check is done
using FASTQC tool. FastQC Read Quality reports (Galaxy Tool
Version 0.72) gives quality control keeps an eye on raw sequence
data originating from high throughput sequencing pipelines. The
report incorporates synopsis charts and tables in an H. T. M. L
based configuration. These outcomes got from QC investigations
give us adequate data concerning whether the data has any issues or
not before continuing forward. For above samples the quality was
not good enough to perform mapping, therefore before mapping
trimming is performed using TRIMMOMATIC (Galaxy Version
0.36.5) methods. BOWTIE2 (Galaxy Tool Version 2.3.4.2) is
utilized to list reference genome which works at rapid and memory
proficient way. Bowtie2 is utilized for short read alignment.
What makes bowtie2 fascinating is the utilization of almost no
RAM with precision and unobtrusive execution in ordering the
alignment (Langmead and Salzberg) [131]. The alignment results
yield in SAM format (Li, et al.) [132] after mapping to remove PCR
duplicates RmDup tool (Galaxy Tool Version 2.0.1) is used and
after removing duplicates quality is checked before proceeding.
Mpileup (Galaxy Tool Version 2.1.4) reports variants for one or
various B.A.M documents. Alignments records are gathered
giving one log document (content organization) and other Variant
Calling record (V.C.F format) which will give data like probability
6
Datta S, et al.
OPEN ACCESS Freely available online
Gene Technol, Vol.9 Iss.2 No:153
genotype, position on reads, mapping quality (Blankenber, et al.;
Blankenberg, Daniel, et al.; Giardine, Belinda, et al.; Goecks,
et al.; Sherry, et al.; Team The Galaxy] [133-136]. Varscan for
variants (Galaxy Tool Version 2.4.2) performs variant location for
enormously parallel sequencing data, for example, exome, W.G.S,
and transcriptome information. It calls variants from M Pileup
dataset and produces a Variant Calling File (V.C.F) (Andrew) [137].
Finally, we used wANNOVAR to perform regional and functional
annotations. Variant calls are then clarified utilizing Annovar
(Wang, et al.) [138]. The comment incorporates the utilization of
databases, for example, ClinVar, Exac, dbSNP, and dbNSFP.
Result
AND DISCUSSION
The novel variants acquired from the outcomes as appeared in
the Table 1 which were not recently observed associated with
Endometriosis. We found an aggregate of 24 new variations from
Shenzhen Second Hospital (Shenzhen, Guangdong, China)
endometrium sample. Among which, the majority of the variants
got were non-synonymous SNVs, aside from them just a single of
the variant (ADRA1B) indicated stop-gain SNP. This could be then
additionally considered upon for their jobs in different disease or
can be contrasted with different samples for same disease (Table 2).
Table 1: Novel Variants with chromosome location and SNP
Sample No.
Novel
Variants
Obtained
Type Mutations in
Exonic Functions
Chromosome
Location
SRR3711641 ATP6V0D2 Nonsynonymous
SNV Chr8: 86150277
VPS13B Nonsynonymous
SNV
Chr8:
99859386
GLG1 Nonsynonymous
SNV
Chr16:
74493027
SRR3711642 LTBP3 Nonsynonymous
SNV
Chr11:
65540877
CLCN7 Nonsynonymous
SNV Chr16: 1474949
MNX1 Nonsynonymous
SNV Chr7: 1.57E+08
ADRA1B Stopgain Mutation Chr5: 1.6E+08
SRR3711644
UROD Nonsynonymous
SNV
Chr1:
45015374
CLCN7 Nonsynonymous
SNV Chr16: 1474949
RABGEF1 Nonsynonymous
SNV Chr7: 66805250
SRR3711645
ASCL2 Nonsynonymous
SNV Chr11: 2269837
DSCAML1 Nonsynonymous
SNV
Chr11:
1.17E+08
ZNF274 Nonsynonymous
SNV
Chr19:
58211630
PLXNA1 Nonsynonymous
SNV Chr3: 1.27E+08
SEMA6A Nonsynonymous
SNV Chr5: 1.16E+08
RABGEF1 Nonsynonymous
SNV Chr7: 66805250
SRR3711646
LPR5 Nonsynonymous
SNV
Chr11:
68410020
MFAP3L Nonsynonymous
SNV Chr4: 1.7E+08
GPR22 Nonsynonymous
SNV Chr7: 1.07E+08
ATP6V0D2 Nonsynonymous
SNV Chr8: 86150277
SRR3711647
DENND3 Nonsynonymous
SNV Chr8: 1.41E+08
SRR3711647
USP7 Nonsynonymous
SNV Chr16: 8904506
L3MBTL1 Nonsynonymous
SNV
Chr20:
43534909
MFAP3L Nonsynonymous
SNV Chr4: 1.7E+08
ADRA1B Stopgain Mutation Chr5: 1.6E+08
PRICKLE4 Nonsynonymous
SNV Chr6: 41786956
SRR3711649
DSCAML1 Nonsynonymous
SNV
Chr11:
1.17E+08
ARHGAP40 Nonsynonymous
SNV
Chr20:
38637795
CEBPB Nonsynonymous
SNV
Chr20:
50191512
SEMA3A Nonsynonymous
SNV Chr7: 83961468
VPS13B Nonsynonymous
SNV
Chr8:
99859386
Table 2: The frequency for mutation of the novel variants for
entometriosis was discovered utilizing Intogen Database (https://www.
intogen.org/seek).
Genes Mutation Frequencies (From
intogen)
VPS13B 5.65%
PLXNA1 3.91%
DSCAML1 2.61%
GLG1, LRP5 1.74%
RABGEF1, DENND3, PRICKLE4,
SEMA3A, SEMA6A, ADRA1B 1.30%
CLCN7, USP7, MFAP3L 0.87%
L3MBTL1, UROD, GPR22,
ATP6V0D2, ZNF274, ARHGAP40 0.43%
LTBP3, MNX1, CEBPB 0%
ASCL2 No Data
The variants involvement in endometriosis was affirmed utilizing
Driver: A database for malignancy driver gene (driverdb.tms.
cmu.edu.tw/ddbv2/index.php). Four of the variants acquired
ARHGAP40, UROD, MNX1 and MFAP3L were appeared to have
some association in endometriosis as saw on Driver. The remaining
genes are novel and once in a while connected with endometriosis.
Majority of the variants obtained showed relativeness in other
diseases, apart from endometriosis. The molecular genetics of some
of the novel variants is discussed:
LRP5: Gong et al. (2001) demonstrated that LRP5 influences bone
mass gathering during development and recognized changes in the
LRP5 gene (e.g., 603506.0001) that develop autosomal recessive
osteoporosis-pseudoglioma disorder (OPPG; 259770) [139]. They
found that obligate bearers of mutant LRP5 gene had decreased
bone mass when contrasted with age and sexual orientation
coordinated controls. Little et al. (2002) recognized a gly171-to-
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OPEN ACCESS Freely available online
Gene Technol, Vol.9 Iss.2 No:153
val transformation in the LRP5 gene (G171V; 603506.0013) that
outcomes in an autosomal prevailing high bone mass attribute (see
601884) [140]. Boyden, et al. (2002) found the equivalent LRP5
transformation in a family with autosomal dominant [141], high
bone density related with square jaw and torus palatinus. Guo,
et al. (2006) genotyped 1,873 Caucasian people from 405 family
units for SNPs and haplotypes of the LRP5 gene and found that
the regular allele A for SNP4 (rs4988300) and the minor allele G
for SNP6 (rs634008) were essentially connected with obesity and
body mass index (BMI) [142]. Critical affiliations were additionally
seen between the regular haplotype A-G-G-G in block 2 (intron
1) with obesity, BMI, and fat mass (p under 0.001, p under
0.001, and p=0.003, individually). Guo et al. (2006) inferred that
intronic variations of the LRP5 gene are particularly connected
with weight. In affected people from 4 irrelevant families with
polycystic liver disease-4 with or without kidney cysts (PCLD4;
617875), Cnossen et al. (2014) recognized 4 diverse heterozygous
missense transformations in the in the LRP5 gene (603506.0035-
603506.0038) [143]. Two transformations influenced the
intracellular domain, and 2 influenced the extracellular domian.
The transformation in the main family was found by whole exome
sequencing and affirmed by Sanger sequencing; the 3 different
transformations were found by direct sequencing of the LRP5
gene in a cohort of 150 probands with cystic liver disease. The
transformations isolated with the turmoil in the families, with
some proof for age-subordinate deficient penetrance. None of the
patients conveying transformations had proof of clinical highlights
of other LRP5-related disease, including bone density or ocular
abnormalities.
CLCN7: In light of the closeness between the phenotype of
patients with childish harmful osteopetrosis (see OPTB4; 611490)
which create serious osteopetrosis and retinal degeneration,
Kornak et al. (2001) hunt down transformations in the human
CLCN7 gene in 12 patients with juvenile osteopetrosis [144]. They
recognized compound heterozygosity for a nonsense (Q555X;
602727.0001) and a missense (R762Q; 602727.0002) change in the
CLCN7 quality in 1 persistent with the illness who had early visual
hindrance. No retinal histology was accessible. Blair et al. (2004)
developed CD14 cells from control and 4 osteopetrotic human
subjects within the sight of bone and analysed their osteoclastic
separation in vitro [145]. The osteopetrotic cells indicated absconds
in acid transport, natural framework evacuation, and cell fusion
with inadequate connection compared with the ordinary cells.
Genotype investigation demonstrated that cells from 2 patients
compound heterozygous for TCIRG1 (604592) transformations
had acid transport defects, though cells from 1 patient compound
heterozygous for CLCN7 transformation had natural framework
evacuation defects. The cells with a connection defect were from
a patient who needed TCIRG1 and CLCN7 transformations. In
affected people from 12 disconnected families with autosomal
prevailing osteopetrosis-2 (OPTA2; 166600), Cleiren et al. (2001)
distinguished heterozygosity for 7 unique transformations in the
CLCN7 gene (see, e.g., 602727.0004 and 602727.0005) [146].
Examination of microsatellite markers showed that the changes
emerged autonomously in every family. Among these families was
the Danish family that Van Hul et al. (1997) at first connected
to chromosome 1p21. Also, Cleiren et al. (2001) distinguished
1 patient with the extreme autosomal recessive puerile type of
osteopetrosis (OPTB4) who was homozygous for a CLCN7 missense
transformation (L766P; 602727.0003), for which her asymptomatic
guardians were heterozygous [146].
UROD: In the UROD cDNA from a patient with familial
porphyria cutanea tarda (PCT; 176100), Garey et al. (1989) showed
a heterozygous gly281-to-val substitution (G281V; 613521.0001).
The change was not distinguished in affected people from 7 other
PCT families with an autosomal dominant pattern of legacy. In
a Tunisian family with hepatoerythropoietic porphyria (HEP; see
176100), de Verneuil et al. identified homozygosity for a G281E
change (613521.0002) in the UROD gene product [147].
SEMA3A: In 2 sibs and their dad with Kallmann disorder (HH16;
614897), Young et al. distinguished heterozygosity for a 213-kb
cancellation in the SEMA3A gene (603961.0001). Sequencing of
the nondeleted SEMA3A allele and of 12 known HH-related gene
in affected individuals from the family did not reveal some other
transformations. Youthful et al. reasoned that SEMA3A play a job
in anosmic hypogonadotropic hypogonadism.
USP7: In a 13-year-old young lady with formative deferral,
hypotonia, and seizures, Hao et al. distinguished a once more
heterozygous c.429C-G transversion in the USP7 gene, bringing
about a tyr143-to-ter (Y143X) substitution and anticipated to result
in haplo insufficiency. Direct utilitarian investigations of the
variation and investigations of patient cells were not performed
[148]. Be that as it may, in vitro knockdown of USP7 in cells
brought about a diminishing in TRIM27 (602165) protein levels
and impeded endosomal protein reusing with diminished F-actin
collection. Hao et al. announced 6 random kids with variable
neuro developmental issue related with de novo heterozygous
micro deletions of chromosome 16p13.2 and 1 patient with a
new heterozygous truncating variation in the USP7 gene (602519)
on chromosome 16p13.2. All had formative postponement and
scholarly incapacity, and 5 were determined to have chemical
imbalance range issue. Extra regular highlights included seizures (5
patients), cryptorchidism or micro penis (in 4 of 5 guys), hypotonia
(4 patients), and aggressive conduct (4 patients). Different
highlights included gentle nonspecific dysmorphic highlights and
poor or missing speech with speech apraxia. Practically all patients
were in a specialized curriculum.
LTBP3: In affected individuals from a consanguineous Pakistani
family with specific tooth agenesis and short stature (DASS;
601216), Noor et al. distinguished a homozygous nonsense
transformation in the LTBP3 gene (Y744X; 602090.0001). Two
affected guys were analyzed in detail [149]. The phenotype was
described by absence of a large number of the perpetual teeth,
just as obvious expanded bone density in the spine and skull base.
The discoveries proposed an essential job for LTBP3-intervened
transcription being developed of the axial skeleton. In a mother
and her 2 children who indicated highlights reliable with mellow
geleophysic dysplasia (GPHYSD3; 617809), McInerney-Leo et al.
recognized heterozygosity for a missense transformation in the
LTBP3 gene (S696C; 602090.0008) [150]. In 2 inconsequential
young men determined to have geleophysic dysplasia, who kicked
the bucket in early youth from respiratory failure, McInerney-
Leo et al. recognized heterozygosity for a stop-loss transformation
(602090.0009) and a splice site transformation (602090.0010) in
LTBP3, respectively.
VPS13B: In a 33-year-elderly person who showed the typical facial
gestalt of Cohen disorder and had neutropenia and retinopathy,
yet who did not show truncal stoutness or mental impediment,
Gueneau et al. distinguished compound heterozygosity for 2 splice
site transformations in the VPS13Bgene (607817.0014; 607817.0015)
8
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OPEN ACCESS Freely available online
Gene Technol, Vol.9 Iss.2 No:153
[151]. The authors proposed that a dose impact of remaining
typical VPS13B protein may clarify the deficient phenotype in
this patient. In 2 Lebanese siblings with Cohen disorder and the
extra highlights of cutis verticis gyrata and sensorineural deafness,
initially announced by Megarbane et al. as an unmistakable
disorder, Megarbane et al. recognized a homozygous grafting
transformation in the VPS13B gene (607817.0016) [152].
MNX1: In 2 predominantly acquired sacral agenesis families,
Lynch et al. discovered linkage to 7q36 markers. Ross et al. refined
the sub chromosomal confinement in a few extra inherited sacral
agenesis families and recognized causative transformations in
the MNX1 gene (142994.0001-142994.0006) [153]. In affected
individuals from a 3-age family isolating Currarino disorder,
Urioste et al. identified a frameshift transformation in the MNX1
gene (142994.0009). Malignant mutation of a presacral teratoma
was seen in the 22-year-old proband, and presacral teratomas were
found in 6 other relatives, including the 3 asymptomatic people.
Of 9 influenced individuals, just 2 showed the total set of three. In
affected individuals from a 4-age family with Currarino disorder,
Wang et al. (2006) recognized heterozygosity for a nonsense
transformation in the MNX1 gene (142994.0010) [154].
ADRA1B: The distal end of 5q, 5q31.1-qter, contains the genes for
2 adrenergic receptors, ADRB2 (109690) and ADRA1B, and the
dopamine receptor type 1A gene (DRD1A; 126449). Krushkal et
al. utilized an effective conflicting sib-pair ascertainment plan to
examine the effect of this area of the genome on variety in systolic
blood pressure in youthful Caucasians [155]. They quantified 8
exceedingly polymorphic markers crossing this positional applicant
gene rich district in 427 people from 55 3-age families containing
69 conflicting sib-pair, and determined multipoint character by
plunge probabilities. The after effects of hereditary linkage and
affiliation tests showed that the district between markers D5S2093
and D5S462 was altogether connected to at least 1 polymorphic
genes influencing inter individual variety in systolic blood pressure.
Since the ADRA1B and DRD1A genes are found near these
markers, the information recommended that hereditary variety in
1 or both of these G protein-coupled receptors, which partake in
the control of vascular tone, assumes an essential job in affecting
inter individual variety in systolic blood pressure levels (Table 3).
Gene Name Expression Associated Cancer
(Mutation Frequency)
VPS13B
Ubiquitous expression
in endometrium
(RPKM 3.0)
Cutaneous melanoma
(12.47%)
PLXNA1 Ubiquitous expression
in lung (RPKM 7.9)
Lung squamous cell
carcinoma (5.71%)
DSCAML1 Biased expression in
brain (RPKM 3.3)
Cutaneous melanoma
(9.76%)
CDK11A
Ubiquitous expression
in bone marrow
(RPKM 22.4)
Cutaneous Melanoma
(1.08%)
GLG1 Ubiquitous expression
in ovary (RPKM 26.0)
Small cell lung
carcinoma (8.07%)
LRP5 Ubiquitous expression
in fat (RPKM 20.9)
Cutaneous melanoma
(6.78%)
RABGEF1
Ubiquitous expression
in bone marrow
(RPKM 17.2)
Bladder
carcinoma(2.04%)
DENND3
Broad expression in
bone marrow (RPKM
17.0)
Cutaneous melanoma
(8.40%)
PRICKLE4 Ubiquitous expression
in spleen (RPKM 16.5)
Stomach
adenocarcinoma
(1.86%)
SEMA3A Broad expression in
placenta (RPKM 2.5)
Bladder carcinoma
(4.08%)
SEMA6A Broad expression in
adrenal (RPKM 13.5)
Lung adenocarcinoma
(2.56%)
ADRA1B Biased expression in
spleen (RPKM 2.0)
Stomach
adenocarcinoma
(1.86%)
CLCN7 Ubiquitous expression
in spleen (RPKM 16.9)
Non-small cell lung
carcinoma (3.23%)
USP7 Ubiquitous expression
in testis (RPKM 31.0)
Stomach
adenocarcinoma
(3.73%)
MFAP3L Broad expression in
kidney (RPKM 7.1)
Stomach
adenocarcinoma
(1.86%)
L3MBTL1 Broad expression in
testis (RPKM 4.3)
Cutaneous melanoma
(2.17%)
UROD
Ubiquitous expression
in bone marrow
(RPKM 73.9)
Bladder carcinoma
(1.08%)
GPR22 Biased expression in
heart (RPKM 6.9)
Lung adenocarcinoma
(1.08%)
ATP6V0D2 Biased expression in
kidney (RPKM 22.7)
Small cell lung
carcinoma (2.90%)
ZNF274 Ubiquitous expression
in thyroid (RPKM 9.7)
Cutaneous melanoma
(2.44%)
ARHGAP40 Biased expression in
skin (RPKM 12.2)
Acute myeloid
leukemia (0.51%)
LTBP3 Ubiquitous expression
in ovary (RPKM 27.2)
Cutaneous
melanoma(3.25%)
MNX1 Biased expression in
colon (RPKM 3.3)
Lung squamous cell
carcinoma(1.15%)
CEBPB No Data Bladder
carcinoma(1.02%)
ASCL2 Broad expression in
colon (RPKM 4.3) No Data
Conclusion
The investigation can additionally expand in discovering the job
of such novel genes in interaction and metabolic pathways and
can additionally be contemplated for DNA-protein interaction
investigation to help novel research particularly towards its
molecular relationship or interaction of the powerful gene products.
References
1.
Giudice LC, Kao LC. Endometriosis. Lancet. 2004;364(9447):1789-
1799.
2.
Giudice LC. Clinical practice Endometriosis. N Engl J Med.
2010;362(25):2389-98.
3.
Eskenazi B, Warner ML. Epidemiology of endometriosis.
ObstetGynecol Clin North Am. 1997;24(2):235-258.
4.
Meuleman C, Vandenabeele B, Fieuws S, Spiessens C, Timmerman
D, D'Hooghe T. High prevalence of endometriosis in infertile women
with normal ovulation and normospermic partners. FertilSteril.
2009;92(1):68-74.
5.
Sasson IE, Taylor HS. Stem cells and the pathogenesis of endometriosis.
Table 3: Novel variants with their expression (taken from gene database
of NCBI- https://www.ncbi.nlm.nih.gov/gene) and their highest cancer
associated mutation frequency (taken from IntOgen- https://www.
intogen.org/seek).
9
Datta S, et al.
OPEN ACCESS Freely available online
Gene Technol, Vol.9 Iss.2 No:153
Ann N Y Acad Sci. 2008;1127:106-15.
6.
Anglesio MS and Yong PJ. Endometriosis-associated Ovarian Cancers.
Clin Obstet Gynecol. 2017;60(4):711-27.
7.
Anglesio MS, Papadopoulos N, Ayhan A, Nazeran TM, Noe M,
Horlings HM, et al. Cancer-associated mutations in endometriosis
without cancer. N Engl J Med. 2017;376(19):1835-1848.
8.
Giudice LC. Clinical practice Endometriosis. N Engl J Med. 2010;362
25:2389-98.
9.
Berkley KJ, Rapkin AJ, Papka RE. The pains of endometriosis. Science.
2005;308(5728):1587-1589.
10.
Tokushige N, Markham R, Russell P, Fraser IS. Nerve fibres in
peritoneal endometriosis. Hum Reprod. 2006;21(11):3001-3007.
11.
Bulun SE. Endometriosis. N Engl J Med. 2009;360(3):268-79.
12.
Sourial S, Tempest N, Hapangama DK. Theories on the pathogenesis
of endometriosis. Int J Reprod Med. 2014;2014:179515.
13.
Robboy SJ, Bean SM. Pathogenesis of endometriosis. Reprod Biomed
Online. 2010;21(1):4-5.
14.
Robboy SJ, Haney AF, Russell P. Endometriosis. In: Robboy, SJ,
Mutter, GL, Prat, J, Bentley, RC, Russell, P, Anderson, MC (Eds),
Pathology of the Female Reproductive Tract, second ed. London:
Churchill Livingstone. 2009.
15.
Somigliana E, Vigano P, Parazzini F, Stoppelli S, Giambattista
E, Vercellini P. Association between endometriosis and cancer:
a comprehensive review and a critical analysis of clinical and
epidemiological evidence. GynecolOncol. 2006;101(2):331-41.
16.
Pavone ME, Lyttle BM. Endometriosis and ovarian cancer: links, risks,
and challenges faced. Int J Womens Health. 2015;7:663-72.
17.
Overton C, Shaw RW, McMillan L, Davis C. Atlas of Endometriosis,
3rd Edition. CRC Press; 2007.
18.
Noe M, Ayhan A, Wang TL, Shih IM. Independent development of
endometrial epithelium and stroma within the same endometriosis. J
Pathol. 2018;245 3:265-9.
19.
Sampson JA. Endometrial carcinoma of the ovary, arising in
endometrial tissue in that organ. Archives of Surgery. 1925;10:1-72.
20.
Czernobilsky B, Morris WJ. A histologic study of ovarian endometriosis
with emphasis on hyperplastic and atypical changes. Obstet Gynecol.
1979;53:250-253.
21.
Tai FW, Chang CY, Chiang JH, Lin WC, Wan L. Association
of Pelvic Inflammatory Disease with Risk of Endometriosis: A
Nationwide Cohort Study Involving 141,460 Individuals. J Clin Med.
2018;7(11):35-39.
22.
Figueira PG, Abrao MS, Krikun G, Taylor HS. Stem cells in
endometrium and their role in the pathogenesis of endometriosis.
Ann N Y Acad Sci. 2011;1221:10-7.
23.
Darrow SL, Vena JE, Batt RE, Michalek AM, Selman S. Menstrual
cycle characteristics and the risk of endometriosis. Epidemiology.
1993;4(2):135–142.
24.
Signorello LB, Harlow BL, Cramer DW. Epidemiologic determinants
of endometriosis: a hospital-based case-control study. Ann Epidemiol.
1997;7(4):267-741.
25.
Cramer DW, Missmer SA. The epidemiology of endometriosis. Ann N
Y Acad Sci. 2002;955:11-22.
26.
Candiani GB, Danesino V, Gastaldi A, Ferraroni M. Reproductive and
menstrual factors and risk of peritoneal and ovarian endometriosis.
FertilSteril. 1991;56(2):230-234.
27.
Kvaskoff M, Bijon A, Clavel-Chapelon F. Childhood and adolescent
exposures and the risk of endometriosis. Epidemiology. 2013;24(2):261-
269.
28.
Matalliotakis IM, Arici A, Cakmak H. Familial aggregation of
endometriosis in the yale series. Arch Gynecol Obstet. 2008;278(6):507-
511.
29.
Treloar SA, O’Connor DT. Genetic influences on endometriosis in an
Australian twin sample. FertilSteril. 1999;71(4):701-710.
30.
Rahmioglu N, Nyholt DR, Morris AP. Genetic variants underlying
risk of endomStriosis: insights from meta-analysis of eight genome-
wide association and replication datasets. Hum Reprod Update.
2014;20(5):702-716.
31.
Nyholt DR, Low SK, Anderson CA. Genome-wide association
meta-analysis identifies new endometriosis risk loci. Nat Genet.
2012;44(12):1355-1359.
32.
Jaaskelainen M, Prunskaite-Hyyrylainen R, Naillat F, et al. WNT4 is
expressed in human fetal and adult ovaries and its signaling contributes
to ovarian cell survival. Mol Cell Endocrinol. 2010;317(1-2):106-111.
33.
Vainio S, Heikkila M, Kispert A. Female development in mammals is
regulated by Wnt-4 signalling. Nature. 1999;397(6718):405-409.
34.
Boyer A, Lapointe E, Zheng X, Cowan RG, Li H, Quirk SM, et al.
WNT4 is required for normal ovarian follicle development and female
fertility. FASEB J. 2010;24(8):3010-3025.
35.
Guo X, Jing C, Li L. Down-regulation of VEZT gene expression in
human gastric cancer involves promoter methylation and miR-43c.
Biochem Biophys Res Commun. 2011;404(2):622-627.
36.
Rae JM, Johnson MD, Scheys JO. GREB 1 is a critical regulator of
hormone dependent breast cancer growth. Breast Cancer Res Treat.
2005;92(2):141-149.
37.
Ghosh MG, Thompson DA, Weigel RJ. PDZK1 and GREB1 are
estrogen-regulated genes expressed in hormone-responsive breast
cancer. Cancer Res. 2000;60(22):6367-6375.
38.
Albertsen HM, Chettier R, Farrington P, Ward K. Genome-wide
association study link novel loci to endometriosis. PLoS One.
2013;8(3):e58257.
39.
Uno S, Zembutsu H, Hirasawa A. A genome-wide association study
identifies genetic variants in the CDKN2BAS locus associated with
endometriosis in Japanese. Nat Genet. 2010;42(8):707-710.
40.
Painter JN, Anderson CA, Nyholt DR. Genome-wide association
study identifies a locus at 7p15.2 associated with endometriosis. Nat
Genet. 2011;43(1):51-54.
41.
Uimari O, Rahmioglu N, Nyholt DR. Genome-wide genetic analyses
highlight mitogen-activated protein kinase (MAPK) signaling in the
pathogenesis of endometriosis. Hum Reprod. 2017;32(4):780-793.
42.
Sapkota Y, Steinthorsdottir V, Morris AP. Meta-analysis identifies
five novel loci associated with endometriosis highlighting key genes
involved in hormone metabolism. Nat Commun. 2017;8:15539.
43.
Fung JN, Rogers PA, Montgomery GW. Identifying the biological basis
of GWAS hits for endometriosis. Biol Reprod. 2015;92(4):87.
44.
Berker B, Seval M. Problems with the diagnosis of endometriosis.
Womens Health (Lond). 2015;11(5):597-601.
45.
Moss EL, Hollingworth J, Reynolds TM. The role of CA125 in clinical
practice. J Clin Pathol. 2005;58(3):308-312.
46.
Huhtinen K, Suvitie P, Hiissa J. Serum HE4 concentration
differentiates malignant ovarian tumours from ovarian endometriotic
cysts. Br J Cancer. 2009;100(8):1315-1319.
47.
Leyland N, Casper R, Laberge P. Endometriosis: diagnosis and
management. J ObstetGynaecol Can. 2010;32(7):S1–32.
48.
Wykes CB, Clark TJ, Khan KS. Accuracy of laparoscopy in the
diagnosis of endometriosis: a systematic quantitative review. BJOG.
2004;111(11):1204-1212.
49.
Hori Y, Committee SG. Diagnostic laparoscopy guidelines:this
guideline was prepared by the SAGES guidelines committee and
reviewed and approved by the Board of Governors of the society
of American gastrointestinal and endoscopic surgeons (SAGES),
November 2007. Surg Endosc. 2008;22(5):1353-1383.
50.
Burney RO, Giudice LC. Pathogenesis and pathophysiology of
endometriosis. FertilSteril. 2012;98(3):511-519.
10
Datta S, et al.
OPEN ACCESS Freely available online
Gene Technol, Vol.9 Iss.2 No:153
51.
Rogers PA, D’Hooghe TM, Fazleabas A. Defining future directions
for endometriosis research: workshop report from the 2011 World
Congress of Endometriosis in Montpellier, France. Reprod Sci.
2013;20(5):483-499.
52.
Burghaus S, Haberle L, Schrauder MG. Endometriosis as a risk factor
for ovarian or endometrial cancer-results of a hospital-based case-
control study. BMC Cancer. 2015;15:751.
53.
Wykes CB, Clark TJ, Chakravati S. Efficacy of laparoscopic excision of
visually diagnosed peritoneal endometriosis in the treatment of chronic
pelvic pain. Eur J ObstetGynecol Reprod Biol. 2006;125(1):129-133.
54.
Bedaiwy MA, Alfaraj S, Yong P, Casper R, et al. New developments in
the medical treatment of endometriosis. FertilSteril. 2017;107(3):555-
565.
55.
Streuli I, de Ziegler D, Borghese B. New treatment strategies and
emerging drugs in endometriosis. Expert Opin Emerg Drugs.
2012;17(1):83-104.
56.
Bukulmez O, Hardy DB, Carr BR, Word RA, Mendelson CR.
Inflammatory status influences aromatase and steroid receptor
expression in endometriosis. Endocrinology. 2008;149(3):1190–1204.
57.
Han SJ, O’Malley BW. The dynamics of nuclear receptors and nuclear
receptor coregulators in the pathogenesis of endometriosis. Hum
Reprod Update. 2014;20(4):467-484.
58.
Guo SW. Epigenetics of endometriosis. Mol Hum Reprod.
2009;15(10):587-607.
59.
Kobayashi H, Yamada Y, Kanayama S. The role of iron in the
pathogenesis of endometriosis. Gynecol Endocrinol. 2009;25(1):39-
52.
60.
Vercellini P, Crosignani P, Somigliana E. The ‘incessant menstruation’
hypothesis: a mechanistic ovarian cancer model with implications for
prevention. Hum Reprod. 2011;26(9):2262-2273.
61.
Toyokuni S. Role of iron in carcinogenesis: cancer as a ferrotoxic
disease. Cancer Sci. 2009;100(1):9-16.
62.
Ota H, Igarashi S, Sasaki M. Distribution of cyclooxygenase-2 in
eutopic and ectopic endometrium in endometriosis and adenomyosis.
Hum Reprod. 2001;16(3):561-566.
63.
Lin YJ, Lai MD, Lei HY. Neutrophils and macrophages promote
angiogenesis in the early stage of endometriosis in a mouse model.
Endocrinology. 2006;147(3):1278-1286.
64.
Ahn SH, Edwards AK, Singh SS, Young SL, Lessey BA, Tayade C.
IL-17A contributes to the pathogenesis of endometriosis by triggering
proinflammatory cytokines and angiogenic growth factors. J Immunol.
2015;195(6):2591-2600.
65.
Zhang X, Xu H, Lin J. Peritoneal fluid concentrations of interleukin-17
correlate with the severity of endometriosis and infertility of this
disorder. BJOG. 2005;112(8):1153-1155.
66.
McKinnon BD, Bertschi D, Bersinger NA. Inflammation and nerve
fiber interaction in endometriotic pain. Trends Endocrinol Metab.
2015;26(1):1-10.
67.
Worley MJ, Welch WR, Berkowitz RS. Endometriosis-associated
ovarian cancer: a review of pathogenesis. Int J Mol Sci. 2013;14(3):5367-
5379.
68.
Brinton LA, Sakoda LC, Sherman ME, Frederiksen K, Kjaer SK,
Graubard BI, et al. Relationship of benign gynecologic diseases to
subsequent risk of ovarian and uterine tumors. Cancer Epidemiol
Biomarkers Prev. 2005;1412:2929-35.
69.
Rossing MA, Cushing-Haugen KL, Wicklund KG, Doherty JA,
Weiss NS. Risk of epithelial ovarian cancer in relation to benign
ovarian conditions and ovarian surgery. Cancer Causes Control.
2008;19(10):1357-64.
70.
Forte A, Cipollaro M, Galderisi U. Genetic, epigenetic and stem cell
alterations in endometriosis: new insights and potential therapeutic
perspectives. Clin Sci (Lond). 2014;126 2:123-38.
71.
Nezhat FR, Apostol R, Nezhat C, Pejovic T. New insights in the
pathophysiology of ovarian cancer and implications for screening and
prevention. Am J Obstet Gynecol. 2015;213(3):262-7.
72.
Kvaskoff M, Mu F, Terry KL, Harris HR, Poole EM, Farland L, et
al. Endometriosis: a high-risk population for major chronic diseases?
Hum Reprod Update. 2015;21 4:500-16.
73.
Pearce CL, Templeman C, Rossing MA. Association between
endometriosis and risk of histological subtypes of ovarian cancer: a
pooled analysis of case-control studies. Lancet Oncol. 2012;13(4):385-
394.
74.
Matalliotakis M, Matalliotaki C, Goulielmos GN, Patelarou E, Tzardi
M, Spandidos DA, et al. Association between ovarian cancer and
advanced endometriosis. OncolLett. 2018;15(5):7689-92.
75.
Kok VC, Tsai HJ, Su CF, Lee CK. The Risks for Ovarian, Endometrial,
Breast, Colorectal, and Other Cancers in Women With Newly
Diagnosed Endometriosis or Adenomyosis: A Population-Based Study.
Int J Gynecol Cancer. 2015;25 6:968-76.
76.
Dawson A, Fernandez ML, Anglesio M, Yong PJ, Carey MS.
Endometriosis and endometriosis-associated cancers: new insights
into the molecular mechanisms of ovarian cancer development.
Ecancermedicalscience. 2018;12:803.
77.
Oda K, Hamanishi J, Matsuo K , Hasegawa K. Genomics to
immunotherapy of ovarian clear cell carcinoma: Unique opportunities
for management. GynecolOncol. 2018;151(2):381-9.
78.
Zondervan KT, Becker CM, Koga K, Missmer SA, Taylor RN, Vigano
P. Endometriosis. Nat Rev Dis Primers. 2018;4(1):9.
79.
Sampson JA. Metastatic or embolic endometriosis, due to the menstrual
dissemination of endometrial tissue into the venous circulation. Am J
Pathol. 1927;3(2):93-110.
80.
Vercellini P, Crosignani P, Somigliana E. The ‘incessant menstruation’
hypothesis: a mechanistic ovarian cancer model with implications for
prevention. Hum Reprod. 2011;26(9):2262-2273.
81.
LaGrenade A, Silverberg SG. Ovarian tumors associated with atypical
endometriosis. Hum Pathol. 1988;19(9):1080-1084.
82.
Fukunaga M, Nomura K, Ishikawa E, Ushigome S. Ovarian atypical
endometriosis: its close association with malignant epithelial tumours.
Histopathology. 1997;30(3):249-255.
83.
Jiang X, Morland SJ, Hitchcock A. Allelotyping of endometriosis with
adjacent ovarian carcinoma reveals evidence of a common lineage.
Cancer Res. 1998;58(8):1707-1712.
84.
Scott RB. Malignant changes in endometriosis. Obstet Gynecol.
1953;2(3):283-289.
85.
Lu Y, Cuellar-Partida G, Painter JN. Shared genetics underlying
epidemiological association between endometriosis and ovarian
cancer. Hum Mol Genet. 2015;24(20):5955–5964.
86.
Prowse AH, Manek S, Varma R. Molecular genetic evidence that
endometriosis is a precursor of ovarian cancer. Int J Cancer.
2006;119(3):556-562.
87.
McMeekin DS, Burger RA, Manetta A. Endometrioid adenocarcinoma
of the ovary and its relationship to endometriosis. GynecolOncol.
1995;59(1):81-86.
88.
Sainz de la Cuesta R, Eichhorn JH, Rice LW, et al. Histologic
transformation of benign endometriosis to early epithelial ovarian
cancer. GynecolOncol. 1996;60(2):238–244.
89.
Worley MJ Jr, Liu S, Hua Y. Molecular changes in endometriosis-
associated ovarian clear cell carcinoma. Eur J Cancer. 2015;51(13):1831-
1842.
90.
Sato N, Tsunoda H, Nishida M. Loss of heterozygosity on 10q23.3 and
mutation of the tumor suppressor gene PTEN in benign endometrial
cyst of the ovary: possible sequence progression from benign
endometrial cyst to endometrioid carcinoma and clear cell carcinoma
of the ovary. Cancer Res. 2000;60(24):7052-7056.
91.
Stamp JP, Gilks CB, Wesseling M. BAF250a expression in atypical
endometriosis and endometriosis-associated ovarian cancer. Int J
Gynecol Cancer. 2016;26(5):825-832.
11
Datta S, et al.
OPEN ACCESS Freely available online
Gene Technol, Vol.9 Iss.2 No:153
92.
Anglesio MS, Bashashati A, Wang YK, Senz J, Ha G, Yang W, et al.
Multifocal endometriotic lesions associated with cancer are clonal and
carry a high mutation burden. J Pathol. 2015;236(2):201-209.
93.
Wiegand KC, Shah SP, Al-Agha OM. ARID1A mutations in
endometriosis-associated ovarian carcinomas. N Engl J Med.
2010;363(16):1532-1543.
94.
Chene G, Ouellet V, Rahimi K, Barres V, Provencher D, Mes-Masson
AM. The ARID1A pathway in ovarian clear cell and endometrioid
carcinoma, contiguous endometriosis, and benign endometriosis. Int
J Gynaecol Obstet. 2015;130(1):27-30.
95.
Bischoff FZ, Heard M, Simpson JL. Somatic DNA alterations in
endometriosis: high frequency of chromosome 17 and p53 loss in late-
stage endometriosis. J Reprod Immunol. 2002;55(1-2):49-64.
96.
Sainz de la Cuesta R, Izquierdo M, Canamero M. Increased prevalence
of p53 overexpression from typical endometriosis to atypical
endometriosis and ovarian cancer associated with endometriosis. Eur
J ObstetGynecol Reprod Biol. 2004;113(1):87-93.
97.
Vestergaard AL, Thorup K, Knudsen UB. Oncogenic events associated
with endometrial and ovarian cancers are rare in endometriosis. Mol
Hum Reprod. 2011;17(12):758-761.
98.
Laudanski P, Szamatowicz J, Kowalczuk O. Expression of selected
tumor suppressor and oncogenes in endometrium of women with
endometriosis. Hum Reprod. 2009;24(8):1880-1890.
99.
Yamamoto S, Tsuda H, Takano M. PIK3CA mutation is an early event
in the development of endometriosis-associated ovarian clear cell
adenocarcinoma. J Pathol. 2011;225(2):189-194.
100.
Grassi T, Calcagno A, Marzinotto S. Mismatch repair system in
endometriotic tissue and eutopic endometrium of unaffected women.
Int J Clin Exp Pathol. 2015;8(2):1867-1877.
101.
Fuseya C, Horiuchi A, Hayashi A, et al. Involvement of pelvic
inflammation-related mismatch repair abnormalities and microsatellite
instability in the malignant transformation of ovarian endometriosis.
Hum Pathol. 2012;43(11):1964-1972.
102.
Yang W, Zhang Y, Fu F. High-resolution array-comparative
genomic hybridization profiling reveals 20q13.33 alterations associated
with ovarian endometriosis. Gynecol Endocrinol. 2013;29(6):603-607.
103.
Mafra F, Mazzotti D, Pellegrino R. Copy number variation
analysis reveals additional variants contributing to endometriosis
development. J Assist Reprod Genet. 2016;34(1):117-124.
104.
Ali-Fehmi R, Khalifeh I, Bandyopadhyay S, Lawrence WD,
Silva E, Liao D, et al. Patterns of loss of heterozygosity at 10q23.3
and microsatellite instability in endometriosis, atypical endometriosis,
and ovarian carcinoma arising in association with endometriosis. Int J
Gynecol Pathol. 2006;25(3):223-229.
105.
Xu B, Hamada S, Kusuki I. Possible involvement of loss of
heterozygosity in malignant transformation of ovarian endometriosis.
GynecolOncol. 2011;120(2):239-246.
106.
Obata K, Hoshiai H. Common genetic changes between
endometriosis and ovarian cancer. GynecolObstet Invest.
2000;50(S1):39-43.
107.
Thomas EJ, Campbell IG. Molecular genetic defects in
endometriosis. GynecolObstet Invest. 2000;50(S1):44-50.
108.
Silveira CG, Abrao MS, Dias JA. Common chromosomal
imbalances and stemness-related protein expression markers in
endometriotic lesions from different anatomical sites: the potential
role of stem cells. Hum Reprod. 2012;27(11):3187-3197.
109.
Lee AW, Templeman C, Stram DA. Evidence of a genetic link
between endometriosis and ovarian cancer. FertilSteril. 2015;105(1):35-
43.
110.
Yamamoto S, Tsuda H, Takano M. Loss of ARID1A protein
expression occurs as an early event in ovarian clear-cell carcinoma
development and frequently coexists with PIK3CA mutations. Mod
Pathol. 2012;25(4):615-624.
111.
Wu RC, Wang TL, Shih Ie M. The emerging roles of ARID1A
in tumor suppression. Cancer Biol Ther. 2014;15(6):655-664.
112.
Nishikimi K, Kiyokawa T, Tate S. ARID1A expression in
ovarian clear cell carcinoma with an adenofibromatous component.
Histopathology. 2015;67(6):866-871.
113.
Guan B, Rahmanto YS, Wu RC, et al. Roles of deletion of
Arid1a, a tumor suppressor, in mouse ovarian tumorigenesis. J Natl
Cancer Inst. 2014;106(7):146.
114.
Borrelli GM, Abrao MS, Taube ET, Darb-Esfahani S, Köhler C,
Chiantera V, et al. (Partial) Loss of BAF250a (ARID1A) in rectovaginal
deep-infiltrating endometriosis, endometriomas and involved pelvic
sentinel lymph nodes. Mol Hum Reprod. 2016;22(5):329-337.
115.
Tomasetti C, Vogelstein B. Cancer etiology. variation in cancer
risk among tissues can be explained by the number of stem cell
divisions. Science. 2015;347(6217):78-81.
116.
Katagiri A, Nakayama K, Rahman MT. Loss of ARID1A
expression is related to shorter progression-free survival and
chemoresistance in ovarian clear cell carcinoma. Mod Pathol.
2012;25(2):282–288.
117.
Lowery WJ, Schildkraut JM, Akushevich L. Loss of ARID1A-
associated protein expression is a frequent event in clear cell and
endometrioid ovarian cancers. Int J Gynecol Cancer. 2012;22(1):9-14.
118.
Wiegand KC, Hennessy BT, Leung S. A functional
proteogenomic analysis of endometrioid and clear cell carcinomas
using reverse phase protein array and mutation analysis: protein
expression is histotype-specific and loss of ARID1A/BAF250a is
associated with AKT phosphorylation. BMC Cancer. 2014;14:120.
119.
Minlikeeva AN, Freudenheim JL, Eng KH. History of
comorbidities and survival of ovarian cancer patients, results from the
ovarian cancer association consortium. Cancer Epidemiol Biomarkers
Prev. 2017;26(9):1470-1473.
120.
Meldrum C, Doyle MA, Tothill RW. Next-generation sequencing
for cancer diagnostics: a practical perspective. Clin Biochem Rev.
2011;32(4):177-95.
121.
Evans T, Matulonis U. Next-Generation Sequencing: Role in
Gynecologic Cancers. J Natl ComprCanc Netw. 2016;14(9):1165-73.
122.
Valtcheva N, Lang FM, Noske A, Samartzis EP, Schmidt AM,
Bellini E, et al. Tracking the origin of simultaneous endometrial and
ovarian cancer by next-generation sequencing-a case report. BMC
Cancer. 2017;17:25-27.
123.
Morash M, Mitchell H, Beltran H, Elemento O, Pathak J. The
Role of Next-Generation Sequencing in Precision Medicine: A Review
of Outcomes in Oncology. J Pers Med. 2018;8(3):24-29.
124.
Fountzilas E, Tsimberidou AM. Overview of precision oncology
trials: challenges and opportunities. Expert Rev Clin Pharmacol.
2018;11 8:797-804.
125.
Er TK, Su YF, Wu CC, Chen CC, Wang J, Hsieh TH, et
al. Targeted next-generation sequencing for molecular diagnosis
of endometriosis-associated ovarian cancer. J Mol Med (Berl).
2016;94(7):835-47.
126.
Li X, Zhang Y, Zhao L, Wang L, Wu Z, Mei Q, et al. Whole-
exome sequencing of endometriosis identifies frequent alterations in
genes involved in cell adhesion and chromatin-remodeling complexes.
Hum Mol Genet. 2014;23(22):6008-21.
127.
Suda K, Nakaoka H, Yoshihara K, Ishiguro T, Tamura R, Mori
Y, et al. Clonal Expansion and Diversification of Cancer-Associated
Mutations in Endometriosis and Normal Endometrium. Cell Rep.
2018;24(7):1777-89.
128.
Lac V, Verhoef L, Aguirre-Hernandez R, Nazeran TM, Tessier-
Cloutier B, Praetorius T, et al. Iatrogenic endometriosis harbors
somatic cancer-driver mutations. Hum Reprod. 2018.
129.
Goss M, James R, Caleb E Finch, Morgan DG. Age-Related
Changes in Glial Fibrillary Acidic Protein Mrna in the Mouse Brain.
Neurobiology of aging 1991;12(2):165-170.
130.
Nichols A, Nancy R, Day JR, Laping NJ, Johnson SA, Finch CE.
12
Datta S, et al.
OPEN ACCESS Freely available online
Gene Technol, Vol.9 Iss.2 No:153
GfapMrna Increases with Age in Rat and Human Brain. Neurobiology
of aging. 1993;14(5):421-429.
131.
Langmead B, Salzberg, SL. Fast gapped-read alignment with
Bowtie 2. Nat Methods. 2012;9(4):357-359.
132.
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et
al. Genome Project Data Processing S. 2009.
133.
Blankenberg D, Gordon A, Von Kuster G, Coraor N, Taylor
J, Nekrutenko A, et al. Manipulation of Fastq Data with Galaxy.
Bioinformatics. 2010.
134.
Blankenberg, D, Kuster GV, Coraor N, Ananda G, Lazarus R,
Mangan M, et al. Galaxy: A Web-Based Genome Analysis Tool for
Experimentalists. In Current Protocols in Molecular Biology: John
Wiley & Sons, Inc., 2001.
135.
Goecks JA. Nekrutenko, J. Taylor. Galaxy: A Comprehensive
Approach for Supporting Accessible, Reproducible, and Transparent
Computational Research in the Life Sciences. Genome Biol.
2010;11(8):R86.
136.
Sherry A, Stephen T, Ward M-H, M Kholodov, J Baker, Lon
Phan, et al. Dbsnp: The Ncbi Database of Genetic Variation. Nucl acid
res. 2001;29(1):308-311.
137.
Andrews S. Fastqc a Quality Control Tool for High Throughput
Sequence Data.
138.
Wang K, M Li, Hakonarson H. ANNOVAR: functional
annotation of genetic variants from high-throughput sequencing data.
Nuc Acid Res, 2010;38(16):e164.
139.
Gong Y, Slee RB, Fukai N, Rawadi G, Roman-Roman S,
Reginato AM, et al. LDL receptor-related protein 5 (LRP5) affects
bone accrual and eye development. Cell. 2001;107:513-523.
140.
Little RD, Carulli JP, Del Mastro RG, Dupuis J, Osborne M,
Folz C, et al. A mutation in the LDL receptor-related protein 5 gene
Results
in the autosomal dominant high-bone-mass trait. Am. J. Hum.
Genet. 2002;70:11-19.
141.
Boyden LM, Mao J, Belsky J, Mitzner L, Farhi A, Mitnick MA,
et al. High bone density due to a mutation in LDL-receptor-related
protein 5. New Eng J Med. 2002;346:1513-1521.
142.
Guo X, Jing C, Li L. Down-regulation of VEZT gene expression
in human gastric cancer involves promoter methylation and miR-43c.
Biochem Biophys Res Commun. 2011;404(2):622-627.
143.
Cnossen WR, teMorsche RHM, Hoischen A, Gilissen C,
Chrispijn M, Venselaar H, et al. Whole-exome sequencing reveals
LRP5 mutations and canonical Wntsignaling associated with hepatic
cystogenesis. Proc. Nat. Acad. Sci. 2014;111:5343-5348.
144.
Kornak U, Kasper D, Bosl MR, Kaiser E, Schweizer M, Schulz A,
et al. Loss of the ClC-7 chloride channel leads to osteopetrosis in mice
and man. Cell. 2001;104:205-215.
145.
Blair HC, Borysenko CW, Villa A, Schlesinger PH, Kalla SE,
Yaroslavsky BB, et al. In vitro differentiation of CD14 cells from
osteopetrotic subjects: contrasting phenotypes with TCIRG1, CLCN7,
and attachment defects. J Bone Miner Res. 2004;19:1329-1338.
146.
Cleiren E, Benichou O, Van Hul E, Gram J, Bollerslav J, Singer
FR, et al. Albers-Schonberg disease (autosomal dominant osteopetrosis,
type II) results from mutations in the ClCN7 chloride channel gene.
Hum Molec Genet. 2001;10:2861-2867.
147.
de Verneuil H, Hansen J, Picat C, Grandchamp B, Kushner
J, Roberts A, et al. Prevalence of the 281 (gly-to-glu) mutation in
hepatoerythropoietic porphyria and porphyria cutaneatarda. Hum
Genet. 1988;78:101-102.
148.
HaoY-H, Fountain MD, Tacer F, Xia K, Bi F, Kang W, et al. USP7
acts as a molecular rheostat to promote WASH-dependent endosomal
protein recycling and is mutated in a human neurodevelopmental
disorder. Molec Cell. 2015;59:956-969.
149.
Noor A, Windpassinger C, Vitcu I, Orlic M, Rafiq MA, Khalid
M, et al. Oligodontia is caused by mutation in LTBP3, the gene
encoding latent TGF-beta binding protein 3. Am J Hum Genet.
2009;84:519-523.
150.
McInerney-Leo AM, Le Goff C, Leo PJ, Kenna TJ, Keith P,
Harris JE, et al. Mutations in LTBP3 cause acromicric dysplasia and
geleophysic dysplasia. J Med Genet. 2012.
151.
Gueneau L, Duplomb L, Sarda P, Hamel C, Aral B, El Chehadeh
S, et al. Congenital neutropenia with retinopathy, a new phenotype
without intellectual deficiency or obesity secondary to VPS13B
mutations. Am J Med Genet. 2014;164A:522-527.
152.
Megarbane A, Waked N, Chouery E, Moglabey YB, Saliba N,
Mornet E, et al. Microcephaly, cutis verticisgyrata of the scalp, retinitis
pigmentosa, cataracts, sensorineural deafness, and mental retardation
in two brothers. Am J Med Genet. 2001;98: 244-249.
153.
Ross AJ, Ruiz-Perez V, Wang Y, Hagan D-M, Scherer S, Lynch
SA, et al. Homeobox gene, HLXB9, is the major locus for dominantly
inherited sacral agenesis. Nature Genet. 1998;20:358-361.
154.
Wang RY, Jones JR, Chen S, Rogers RC, Friez MJ, Schwartz
CE, et al. A previously unreported mutation in a Currarino syndrome
kindred. Am J Med Genet. 2006;140A:1923-1930.
155.
Krushkal J, Xiong M, Ferrell R, Sing CF, Turne, ST, Boerwinkle
E. Linkage and association of adrenergic and dopamine receptor genes
in the distal portion of the long arm of chromosome 5 with systolic
blood pressure variation. Hum Molec Genet. 1998;7:1379-1383.
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