Abstract
Introduction: The incidence of lung cancer worldwide has been increasing in recent years, and the latest cancer data published by the
WHO International Agency for Research on Cancer in 2021 shows that lung cancer remains the cancer with the highest mortality rate.
The sensitivity of early screening methods for lung cancer is not ideal. Because early lung cancer is mostly located in nodules with a
diameter of 1 cm, it is difficult to obtain a definite pathological diagnosis from living tissue specimens. Therefore, it is ne cessary to
find less invasive and effective tests to help detect lung cancer early. Therefore, the purpose of this systematic review (SR) and meta-
analysis will be to analyze and explore the correlation between promoter methylation of SHOX2 and RASSF1A genes and lung cancer,
and to provide a reference for early clinical diagnosis.
Methods
and Analysis: The relevant literature will be comprehensively searched in 4 international electronic databases (PubMed,
Cochrane Library, EMBASE and Web of Science) and 4 Chinese electronic databases (CNKI, VIP, Wanfang, Chinese Biomedicine).
We only included studies from inception until publication in May 2022. The primary outcome measure was the methylation rate of the
SHOX2 and RASSF1A gene promoters in lung cancer tissue and normal lung tissue in the control group in lung cancer patients.
Secondary outcome measures included methylation rates of promot ers of SHOX2 a nd RASSF1A genes in different tissue samples.
Two reviewers will conduct independent research selection, data extraction, data synthesis and quality assessment. The assessment of
bias risk and data synthesis will be conducted using Review Manager 5.3 software. The Cochrane Collaboration's Bias Risk
Assessment Tool (QUADAS) will be used to assess the quality of the individual studies included.
Discussion
This systematic review will help to clarify the correlation between PROMOTER methylation of the SHOX2 and
RASSF1A genes with lung cancer, providing clinical evidence for early clinical diagnosis.
Trial registration number: CRD42022330609 (PROSPERO)
Keywords
Non-Small Cell Lung Cancer, meta-analysis, methylation, protocol
Abbreviations: NSCLC = Non-Small Cell Lung Cancer , CI = confidence interval , PRISMA-P = Preferred Reporting Item for
Systematic Review and Meta-analysis, OR = Odds ratio, TCM = traditional Chinese medicine, SHOX2=short stature home- obox
2, RASSF1A=ras associ- ation domain family 1
Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.
The authors report no conflicts of interest.
This research didn't receive grants from any funding agency in the public, commercial or not-for-profit sectors.
Author: Shanyang Su, Master, Shenzhen Bao'an Traditional Chinese Medicine Hospital,Guangzhou University of Chinese Medicine; Yanling
Huang, Master, Shenzhen Bao'an Traditional Chinese Medicine Hospital,Guangzhou University of Chinese Medicine; Xiang Lu, Master,
Shenzhen Bao'an Traditional Chinese Medicine Hospital,Guangzhou University of Chinese Medicine; Wenjia Li , Master, Shenzhen Bao'an
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
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NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.
2
Traditional Chinese Medicine Hospital,Guangzhou University of Chinese Medicine; Yongshun Li , Master, Shenzhen Bao'an Traditional
Chinese Medicine Hospital,Guangzhou University of Chinese Medicine; Jihong Zhou, Master, Shenzhen Bao'an Traditional Chinese Medicine
Hospital,Guangzhou University of Chinese Medicine
Correspondence: Jihong Zhou, Dr. , Shenzhen Bao'an Traditional Chinese Medicine Hospital,Guangzhou University of Chinese Medic ine,
518101, Guangdong, China (e-mail:
[email protected]).
1. Introduction.
Primary bronchial lung cancer, referred to as lung cancer, is
a malignant tumor that originates from the bronchial mucosa or
glands. Lung cancer is insidious, mostly asymptomatic in the
early stage, and clinical manifestations such as cough, sputum
blood or hemoptysis, shortness of breath, fever, weight loss,
chest pain, dyspnea, dysphagia, and hoarseness in the middle
and late stages. Due to poor prognosis due to inadequate early
diagnosis, studies have shown a five-year survival rate of only
19.8% in lung cancer patients
.[1] The latest cancer data published
by WHO's International Agency for Research on Cancer in 2021
shows that lung cancer remains the cancer with the highest
mortality rate.
[2] In the early diagnosis and early intervention,
two-thirds of patients can survive for at least 5 years, and some
patients may benefit from long-term survival or even cure lung
cancer.
[3, 4]
Early diagnosis and early treatment of lung cancer is key to
improving the five-year survival rate of lung cancer patients.
The early screening methods of lung cancer are mainly tumor
markers, cytology, imaging and tracheoscopy, but the sensitivity
is not ideal, and it is very difficult to distinguish the benign and
malignant lesions of small lung nodules. At present, the gold
standard for clinical detection of lung cancer is pathological
examination, because early lung cancer is mostly located in
nodules with a diameter of 1 cm, it is difficult to obtain living
tissue specimens to confirm the pathological diagnosis. There
have been reports of cytological detection rates of
bronchoalveolar lavage fluid in patients with lung cancer,
[5]
second only to puncture biopsy and malignant pleural effusion
cytopathological tests for the diagnosis of lung cancer.
[6] The
combined detection of early lung cancer by shox2 and
RASSF1A gene methylation is more effective than cytological
testing, especially if the cytology test is unclear or negative, and
can be used as a supplement to cytology tests.
[7] It can also
improve the detection rate of tumors in small biopsy samples in
patients with non-small cell lung cancer, especially when the
pathological morphology of small biopsy is difficult to give a
definitive diagnosis.
[8] The combined detection of SHOX2 and
RASSF1A gene methylation in alveolar lavage fluid is
significantly superior to single-index detection and cytologic
detection of alveolar lavage fluid.
[9] Some patients with
methylated positive lung nodules have been shown to present
clinical indications for lung cancer after six months of follow-up,
even though pathology and imaging do not support the diagnosis
of lung cancer at this stage.
[10] The results show that the
methylation of tumor suppressor genes such as SHOX2 and
RASSF1A is closely related to the early diagnosis of lung
cancer,
[11] and this study takes the tumor suppressor genes
RASSF1A and SHOX2 as examples to comprehensively collect
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3
clinical studies between RASSF1A, SHOX2 gene methylation
and lung cancer, and explore the correlation between rassF1A
and SHOX2 gene promoter methylation and lung cancer, which
provides a reference for early clinical diagnosis.
2. Materials and methods
2.1 Study registration.
The study protocol has been registered in PROSPERO
(registration number: CRD42022330609). Evaluation reports
will be c onducted in accordance with the preferred reporting
items in the systematic review and meta-analysis guidelines.
2.2 Study design
2.2.1 Type of participants. Lung cancer patients, patients
with benign lung tumors (with a clear pathological diagnosis),
and normal people will be included. There are no restrictions on
gender, race, curriculum, ethnicity or country. Eligibility criteria:
complete bronchoalveolar lavage fluid SHOX2, RASSF1A test
with test results, with clear tissue and /or cell pathological
results.
)
2.2.2 Type of interventions. Because this is a diagnostic
meta, there are no interventions.
2.2.3 Types of outcome measures .The primary outcome
will include methylation rates of SHOX2 and RASSF1A gene
promoters in lung cancer tissues of patients with lung cancer
and normal lung tissues of control group.Secondary outcome
will include methylation rates of SHOX2 and RASSF1A gene
promoters in the different tissue samples.
2.2.4 Inclusion and exclusion criteri. Studies that met all
of the following requirements will be included:
(1) Diagnosis: Lung cancer patients diagnosed with pathological
diagnosis are the case group, and non-lung cancer patients
(benign diseases or healthy people) are the control group;
(2) Diagnostic method: The test to be evaluated is
bronchoalveolar lavage fluid SHOX2, RASSF1A detection to
diagnose lung cancer, with pathological
diagnosis as the gold standard;
(3) Participants were diagnosed with pulmonary nodules by
clinicians based on diagnostic criteria in the original study;
At the same time, for multiple reports of the same study, we
only include the most recent reports.
Studies that met one of the following requirements will be
excluded:
(1) Incomplete diagnostic data cannot be obtained;
(2) Repeated publication and repeated detection;
(3) Incomplete data cannot be extracted;
(4) Case reports, animal experiments, qualitative studies,
reviews or review articles.
2.3 Literature search strategy.
We will search articles in four international electronic
databases (PubMed, Cochrane Library, EMBASE, and Web of
Science) and 4 Chinese electronic databases (China National
Knowledge Infrastructure, VIP, Wanfang, and China Biology
Medicine).All the publications until 30 April 2022 will be
searched without any restriction of countries or article type.
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4
These studies must be published in English or Chinese.
Reference
list of all selected articles will independently screened
to identify additional studies left out in the initial search. The
literature search will be structured ar ound search terms such as
"non-small cell lung cancer, S HOX2 protein, human, RASSF1
protein, human, Bronchoalveolar Lavage Fluids" and adjust
each database as needed. PubMed's detailed search strategy is
shown in Table 1. The search policy will also be used for any
other electronic databases.
2.4 Study selection.
In the first step of the data processing process, the retrieval
strategy retrieves the titles and abstracts of all studies that are
filtered for relevance, and the titles and abstracts of all studies
that are clearly irrelevant will be discarded. If the results are not
obviously irrelevant, the full text will be downloaded. In the
second step, two members of the evaluation panel (Shanyang Su
,
Yanling Huang) will independently assess the eligibility of the
study using the redefined inclusion and exclusion criteria. In
addition, for studies that meet the inclusion criteria, reviewers
will read the entire article to ensure that the entire study meets
the criteria and are prepared to extract relevant information. Any
disagreements on whether to include a particular study will be
resolved through discussions between reviewers. (with a third
author if necessary) to identify and resolve. For data on the
missing part, we will contact the study authors for the missing
data. The flowchart of all study selection procedures is shown in
Figure 1.
2.5 Data extraction.
The information extracted by the 2 review team
members from the relevant literature will include the first author
name, study location, title, journal name, publication year, study
environment, study population and participant demographics
and baseline characteristics, detection methods, sample size
included, methylation rate of promoters of shox2 and RASSF1A
genes, number of SHOX2 positive cases, number of RASSF1A
positive cases, number of SHOX2 and RASSF1A double
positive cases, etc. used to assess the risk of bias. Two reviewers
will extract the data independently; Discrepancies will be
identified and resolved through discussion. If important data are
missing, we will ask the study authors to provide the number of
missing data.
2.6 Risk of bias Assessment.
The bias risk assessment will involve 2 evaluators in the
quality assessment process and any significant differences will
be resolved through discussions to determine the final set of
studies to be included. The two reviewers independently
assessed the risk of bias in the included studies by taking into
account the following characteristics: participant representation,
gold standard reasonableness, intervals between trials, gold
standard blind assessment, uncertain results and other sources of
bias. In addition, the Cochrane Collaboration's Bias Risk
Assessment Tool (QUADAS) will be used to assess the quality
of individual studies included.
2.7 Data synthesis.
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5
We will use Review Manager 5.3 software to carry out the
quantitative synthesis if the included studies are sufficiently
homogeneous. Mean difference or standardized means
difference will be used for continuous data. Odds ratio (OR) will
be used for the analysis of dichotomous data. Both we will give
a 95% confidence interval (CI). In the case of homogeneous
data, if I
2≤ 50%, the fixed-effect model will be adopted for the
meta-analysis. Otherwise, the sources of heterogeneity will be
further analyzed. After excluding marked clinical heterogeneity,
a random-effect model will be adopted to perform the meta-
analysis. Sensitivity and bias risk analyses will also be
performed.
2.7.1. Analysis of subgroups. There are some planned
subgroup analyses will be performed: different tissue samples of
lung cancer (eg: tissue, BLAF, serum and pleural effusion),
different pathological types of lung cancer (eg: squamous cell
carcinoma and adenocarcinoma)
2.7.2. Sensitivity analysis. Sensitivity analysis will be
performed to determine the stability of the aggregated results by
reducing 1 document at a time.
2.7.3. Reporting bias analysis. Apply Stata 14.0 software
to draw Deek's funnel diagrams to identify publication bias in
literature. Test level
α =0.05. The rate parameter P<0.05, is
considered to be publication biased
2.8. Quality of evidence
The Grading of Recommendations Assessment,
Development, and Evaluation (GRADE) system will be used to
assess the quality of the individual studies included. The five
items (limitations, inconsistency, indirectness, imprecision, and
publication bias) will be used to assess each outcome.
2.9. Patient and Public Involvement
Patients or the public were not involved in the design, or
conduct, or reporting, or dissemination plans of our research
3. Ethics and dissemination.
Because this systematic review will be conducted based on
published research, there is no ethical approval requirement. The
findings of this systematic review will be published in a
peerreviewed journal.
4. Discussion.
Abnormal methylation of the DNA gene promoter can be
detected in a variety of malignancies and is expected to be a
marker for early diagnosis. The occurrence of lung cancer is a
complex process of multi-gene participation and multi-stage
gradual evolution. The activation of oncogenes and the
inactivation of tumor suppressors are closely related to the
occurrence and development of lung cancer. Studies have found
that epigenetics play an important role in the development of
tumors. Gene methylation is a common epigenetic mechanism
involved in regulating the occurrence, progression, and
metastasis of lung cancer.
[12, 13] DNA methylation is currently
the most well-studied form of modification in epigenetics.
Normal gene methylation is necessary to maintain cell growth
and metabolism, while abnormal DNA methylation can trigger
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6
diseases such as tumors. There are many changes in the degree
of methylation of many unique tumor-related genes (including
oncogenes and tumor suppressor genes) in the early stage of
lung cancer, so the detection of DNA methylation is of great
significance for the early diagnosis of cancer. SHOX2 is a
member of the homologous box gene family that regulates gene
expression and controller geneogenesis and cell differentiation.
RASSF1A is an important tumor suppressor gene.
[14] RASSF1A
is closely linked to the occurrence and development of a variety
of malignant tumors, is a novel tumor suppressor gene, and
RASSF1A is one of the most methylated and common genes in
tumors.
[15] The in-depth exploration of SHOX2 and RASSF1A
genes and their methylation will help promote basic and clinical
research on tumors, and provide new directions and ideas for
clinical diagnosis and treatment.
5. Author contributions
Conceptualization: Shanyang Su , Yanling Huang, Xiang Lu,
Wenjia Li , Yongshun Li, Jihong Zhou.
Data curation: Xiang Lu, Jihong Zhou.
Formal analysis: Shanyang Su, Yanling Huang.
Methodology: Shanyang Su, Yanling Huang,Jihong Zhou..
Project administration:. Yongshun Li,Jihong Zhou.
Resources: Shanyang Su, Jihong Zhou.
Software: Shanyang Su, Yanling Huang.
Visualization: Xiang Lu, Wenjia Li.
Writing – original draft: Shanyang Su , Yanling Huang ,
Xiang Lu
Writing – review & editing: Yongshun Li, Jihong Zhou,
Xiang Lu
References
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[3]. Brody, H., Lung cancer. Nature, 2020. 587(7834): p. S7.
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[5]. Henschke, C.I., et al., Survival of patients with stage I lung cancer
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Methylation Testing in Pleural Fluid, Cough Up, and Puncture Samples, in The
1st China Clinical Molecular Diagnostic Conference 2018: Shanghai, China. p:1.
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[8]. Tong Zhang et al.,Application value of SHOX2 and RASSF1A gene
methylation in the clinicopathological diagnosis of small biopsy samples of non-
small cell lung cancer. Journal of Diagnostic Pathology,2022.29(05):p.389-394.
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fluids with high-resolution CT three-dimensional reconstruction combined with
alveolar lavage fluid.China Practical Medicine,2021.16(17):p.95-97.
[10]. Lele Song and Yuemin Li, Clinical transformation status of SHOX2 gene
methylation-assisted diagnosis of lung cancer. Chinese Journal of Oncology
Biotherapy, 2016. 23(04): pp. 550-554.
[11]. Song, L., H. Yu and Y. Li, Diagnosis of Lung Cancer by SHOX2 Gene
Methylation Assay. Mol Diagn Ther, 2015. 19(3): p. 159-67.
[12]. Koch, A., et al., Analysis of DNA methylation in cancer: location
revisited. Nat Rev Clin Oncol, 2018. 15(7): p. 459-466.
[13]. Belinsky, S.A., Gene-promoter hypermethylation as a biomarker in lung
cancer. Nat Rev Cancer, 2004. 4(9): p. 707-17.
[14]. Deng, Q., et al., Predictive value of unmethylated RASSF1A on disease
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progression in non-small cell lung cancer patients receiving pemetrexed-based
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Table 1: PubMed's detailed search strategy
Figure 1: The flowchart of all study selection procedures
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The copyright holder for this preprint this version posted June 10, 2022. ; https://doi.org/10.1101/2022.05.31.22275806doi: medRxiv preprint
Figure 1:Flowchart of study selection procedures
:
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 10, 2022. ; https://doi.org/10.1101/2022.05.31.22275806doi: medRxiv preprint
Table 1
Search strategy in PubMed.
Serial number Search items
#1 Non Small Cell Lung Carcinoma[Mesh]
#2 Carcinoma, Non Small Cell Lung[All Fields]
#3 Carcinomas, Non-Small-Cell Lung[All Fields]
#4 Lung Carcinoma, Non-Small-Cell[All Fields]
#5 Lung Carcinomas, Non-Small-Cell[All Fields]
#6 Non-Small-Cell Lung Carcinomas[All Fields]
#7 Non-Small-Cell Lung Carcinoma[All Fields]
#8 Nonsmall Cell Lung Cancer[All Fields]
#9 Carcinoma, Non-Small Cell Lung[All Fields]
#10 Non-Small Cell Lung Carcinoma[All Fields]
#11 Non-Small Cell Lung Cancer[All Fields]
#12 #1 or #2 - #11
#13 Bronchoalveolar Lavage Fluids[Mesh]
#14 Lavage Fluids, Bronchial[All Fields]
#15 Lavage Fluid, Bronchoalveolar[All Fields]
#16 Lavage Fluids, Bronchoalveolar[All Fields]
#17 Bronchial Alveolar Lavage Fluid[All Fields]
#18 Pulmonary Lavage Fluid[All Fields]
#19 Lavage Fluid, Pulmonary[All Fields]
#20 Lavage Fluids, Pulmonary[All Fields]
#21 Pulmonary Lavage Fluids[All Fields]
#22 Lavage Fluid, Bronchial[All Fields]
#23 Lavage Fluid, Lung[All Fields]
#24 Lung Lavage Fluid[All Fields]
#25 Lavage Fluids, Lung[All Fields]
#26 Lung Lavage Fluids[All Fields]
#27 Alveolar Lavage Fluid[All Fields]
#28 Alveolar Lavage Fluids[All Fields]
#29 Lavage Fluid, Alveolar[All Fields]
#30 Lavage Fluids, Alveolar[All Fields]
#31 Bronchial Lavage Fluid[All Fields]
#32 Bronchial Lavage Fluids[All Fields]
#33 #13 or #14 - #32
#34 SHOX2 protein, human[Mesh]
#35 short stature homeobox 2 protein, human[All
Fields]
#36 OG12 protein, human[All Fields]
#37 OGI2X protein, human[All Fields]
#38 #34 or #35 - #37
#39 RASSF1 protein, human[Mesh]
#40 Ras association (RalGDS-AF-6) domain family 1
protein, human[All Fields]
#41 RASSF1B protein, human[All Fields]
#42 RASSF1C protein, human[All Fields]
#43 #39 or #40 - #42
#44 #12 and #33 and #38 and #43
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