{"paper_id":"7e2eb0b3-9efd-4889-b3fc-e0ca7ed871f1","body_text":"GLOBOCAN 2018 estimates of cancer incidence and mortality document breast cancer as the most often diagnosed cancer that affects women, accounting for 11.6% of the total cancer cases worldwide  1 . The risk of developing breast cancer is modified by various factors including age, reproductive and gynecological factors, physical activity, consumption of alcohol and tobacco, as well as family history  2  and gynecological diseases such as adenomyosis and polycystic ovarian syndrome  3 ,  4 .\nGenetic testing and mammography screening have limited specificity and sensitivity for evaluating an individual's level of breast cancer risk  2 . Research indicates that single nucleotide polymorphism (SNP) genotyping might better predict an individual's risk for breast cancer and guide disease management  5 ,  6 . Certain SNPs influence susceptibility to breast cancer  7 . The risk of breast cancer is higher in those carrying the  BRCA1  and  BRCA2  gene mutations  8 ,  9  and genetic polymorphisms such as high-mobility group box protein 1 (HMGB1) and fascin-1 (FSCN1)  10 ,  11 .\nResistin is a small cysteine-rich adipokine secreted by adipose tissue or constitutively secreted by macrophages  12 ; positive correlations have been observed between levels of plasma resistin and inflammatory markers, in addition to coronary artery calcification, a risk factor for coronary atherosclerosis  13 . SNPs are found in the  RETN  promoter and 3'-untranslated regions  14 . Genetic variation at the  RETN  locus carries a risk of several diseases, including the metabolic syndrome and colon cancer  15 ,  16  and those with a functional  RETN  gene polymorphism at -420 (rs1862513) are at risk of developing type 2 diabetes  17 ,  18 , and associated with obesity in Tunisian population  19 .  RETN  SNPs have been found to correlated with worsening disease in Chinese Han patients with lung cancer  20 . There is  in vitro  evidence of upregulated  RETN  gene expression in samples of human breast cancer tissue  21  and polycystic ovary syndrome  22 , but up until now, no association has been observed between  RETN  gene polymorphisms and breast cancer prognosis. Here we investigated some RETN SNPs with higher impact or risks in various cancers. This case-control study examined the involvement of four  RETN  SNPs and clinicopathological features in susceptibility to breast cancer amongst women of Chinese Han ethnicity.\n\nThis study enrolled 515 Chinese Han women with breast cancer (cases) presenting to Dongyang People's Hospital (Dongyang, Zhejiang, China) and 541 healthy, community-dwelling women without cancer (controls) between 2014 and 2018; all participants provided one blood sample with 3─5 mL. We also enrolled 154 untreated women scheduled for breast cancer surgery at the Affiliated Dongyang Hospital of Wenzhou Medical University (Dongyang, Zhejiang, China) between 2007 and 2017; one tissue specimen was obtained from each participant. Tumor grades were assigned using the Scarff-Bloom-Richardson system and the World Health Organization breast tumor classification criteria were used for pathohistological diagnosis  23  Cases were assigned estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki-67 status and subtyped as Luminal A (ER-positive [+] and/or PR + , HER2-negative [-], Ki-67 <14%), Luminal B (ER +  and/or PR + , HER2 - , Ki-67 ≥14%, ER +  and/or PR + , HER2 + ), HER2-enriched (ER - , PR - , HER2 + ), or as triple-negative breast cancer (TNBC; ER - , PR - , HER2 - )  24 , 25 , 26 . Clinicopathological information was collected from electronic medical records and at study entry each study participant completed a standardized questionnaire providing sociodemographic data. The study protocol was approved by the Dongyang People's Hospital Ethics Committee and all study procedures complied with guidelines and regulations as required. All study participants supplied fully informed written consent at the time of study entry.\nFollowing the manufacturer's instructions, we used QIAamp DNA blood mini kits (Qiagen, Valencia, CA) to isolate total genomic DNA from whole blood specimens. TE buffer (1 mM EDTA and 10 mM Tris pH 7.8) was used to dissolve DNA, which was stored at -20°C until quantitative polymerase chain reaction (qPCR) analysis. Four  RETN  SNPs were selected for analysis (rs3745367, rs7408174, rs1862513 and rs3219175), as they have previously been found to correlate with breast cancer progression  20  SNPs were genotyped by the TaqMan SNP genotyping assay (Applied Biosystems, Warrington, UK), according to the manufacturer's protocol  27 , 28 . qPCRs were performed as previously described in a total volume of 20 μL containing a specific Master Mix (10 μL), probes (0.5 μL) and 10 ng of individual genomic DNA  24 . Real-time PCR was performed as previously described, including an initial denaturation step at 95°C for 10 min, then 40 amplification cycles at 95°C for 15 secs and 60°C for 1 min  24 , 29 .\nData from an independent cohort of 1,904 breast cancer samples from The Cancer Genome Atlas (TCGA) database  30  were analyzed for overall and disease-free survival using Kaplan-Meier analysis and for gene expression data using the Bioconductor edgeR package (version 3.5.1) ( https://www.r-project.org/ ). Patient profiles that were lacking relevant information were excluded before each analysis.\nCorrelations between SNPs and levels of  RETN  expression were identified using genotype-tissue expression (GTEx) data  24 ,  31 . Expression of quantitative trait loci (eQTL) was analyzed to determine the functional role of phenotype-associated SNPs.\nThe Department of Pathology in Dongyang People's Hospital supplied human breast cancer tissue arrays including 154 breast cancer tissue specimens and 42 normal, cancer-free tissue specimens. Human breast cancer tissue was rehydrated and incubated with 3% hydrogen peroxide to quench endogenous peroxidase activity, then blocked by 3% BSA incubation in phosphate-buffered saline (PBS). After overnight incubation at 4°C with primary mouse anti-human resistin antibody (1:200 dilution), the tissue sections underwent 3 PBS washes and then staining with biotin-labeled secondary antibody and detection with the ABC kit (Vector Laboratories, Burlingame, CA, USA). Slides were stained with chromogen diaminobenzidine, washed, counterstained with Delafield's hematoxylin, dehydrated, treated with xylene then mounted. Two pathologists independently scored each slide for the amount of staining. Resistin expression and staining intensity were scored on a 4-point scale from 0 (no expression) to 1 +  (weak), 2 +  (moderate), or 3 +  (strong).\nBetween-group differences were treated as significant when  p -values were less than 0.05. The SNP genotype distributions were subjected to Chi-square testing for Hardy-Weinberg equilibrium. Demographic comparisons between cases and controls were analyzed using the Mann-Whitney U-test and Fisher's exact test. Since the data was independent and normal distribution, Fisher's exact test was used to compare differences in demographic characteristics between healthy controls and patients with breast cancer and Bonferroni's correction for multiple comparisons. Multiple logistic regression models accounting for confounding variables yielded adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for associations between genotype frequencies and breast cancer or clinicopathological characteristics. All data were analyzed by the software program Statistical Product and Service Solutions (SPSS) version 19 and are indicated as the sample mean ± standard deviation (SD).\n\nFirst, we analyzed clinical correlations between resistin expression and breast cancer. Immunohistochemistry (IHC) staining revealed higher resistin expression in the 154 tumor tissue specimens than in the 42 normal, healthy tissue specimens (Fig.  1 A) and much stronger resistin staining in HER2 +  and TNBC tumor subtypes than in luminal A and luminal B disease specimens (Fig.  1 B), suggesting that resistin facilitates the progression of breast cancer. Kaplan-Meier analysis of the TCGA datasets revealed significantly poorer overall survival in the resistin-positive cohort (levels of resistin expression score of 3-4) compared to the resistin-negative group (score of 0-1); no such between-group difference was observed for disease-free survival (Fig.  1 C).\nAll study participants were identified as Chinese Han ethnicity (Table  1 ). Most were nonsmokers (97.8%) and did not drink alcohol (95.9%). The mean age of the controls was significantly younger than that of the breast cancer cohort (40.47 years vs 53.11 years; p<0.05). Most patients (78%) had stage I/II breast cancer; 22% had stage III/IV disease (Table  1 ). Almost half (46.6%) had lymph node (N) N1-N3 metastasis. Nearly all tumors (96.9%) were classified as metastasis (M) M0 status (Table  1 ). Tumors were mostly ER +  (71.1%), PR +  (58.3%), or HER2 -  (65.4%) (Table  1 ).\nTable  2  depicts polymorphism frequencies. All genotypes were in Hardy-Weinberg equilibrium (p>0.05). In cases and controls, most of those with the rs3745367 SNP were homozygous for the GG genotype, most of those with the rs7408174 SNP were homozygous for the TT genotype, most of those with the rs1862513 SNP were homozygous for CC, and most of those with the rs3219175 SNP were homozygous for GG (Table  2 ).\nIn analyses that adjusted for confounders, study participants with the AG or the AG+AA genotype of the  RETN  rs3219175 polymorphism were around twice as likely to develop breast cancer as compared with those who were GG homozygous (AOR: 2.202; 95% CI: 1.701-2.243 and 1.869; 1.457-2.397, respectively; p<0.05 for both comparisons). In addition, those with the G allele of the  RETN  rs3219175 polymorphism were more likely than those with the A allele to develop breast cancer (AOR: 1.295; 95% CI: 1.065-1.575; p<0.05). Between-group differences were not significant for the proportions of breast cancer patients with the rs3745367, rs7408174 and rs1862513 polymorphisms, as compared with healthy controls (Table  2 ).\nIn a comparison of clinical aspects and rs7408174  RETN  genotypes, patients with the CT genotype were almost twice as likely as those with the TT genotype to develop stage III/IV disease (OR: 1.725; 95% CI: 1.113-2.674), while those with at least one C allele were more likely to develop pathological grade III disease (Table  3 ).\nWhen we analyzed the clinical aspects of rs7408174 and rs3219175  RETN  genotypic frequencies among breast cancer subtypes, we found that among patients with the luminal A subtype, those carrying the CT genotype at SNP rs7408174 were much more likely than TT genotype carriers to develop stage III/IV disease and pathological grade II and III disease (OR: 3.084; 95% CI: 1.146-8.299 and 3.983; 1.531-10.362, respectively) (Table  4 ). In an analysis of resistin expression and clinical status in breast cancer tissue samples, high BMI (>24 kg/m 2 ) and resistin positivity was associated with a 5-fold higher likelihood of pathological grade III disease as compared with resistin negativity (OR: 5.020; 95% CI: 1.380-18.259) (Table  5 ).\nOur analysis of GTEx data revealed that individuals carrying the CC genotype of SNP rs7408174 showed a trend for increased resistin expression, compared with patients who had the wild-type TT homozygous genotype (p<0.05; Fig.  2 ).\n\nNot only is the adipokine resistin associated with obesity, inflammation, and various cancers  32 , 33 , 34 , but high serum resistin levels have been implicated in the pathogenesis of cachexia in lung cancer  35 , while resistin overexpression or upregulation is a feature of several human cancers, including oral cancer, renal cell carcinoma, chondrosarcoma and colon cancer  36 , 37 , 38 , 39 . Notably, resistin helps to promote tumor growth, drug resistance and metastasis in breast cancer  40 , 41 , 42 . A mechanical study has recently demonstrated the effect of resistin on epithelial to mesenchymal transition and stemness in breast cancer cells, which might be regulated by cyclase-associated protein 1 (CAP1)  43 . Our IHC results confirmed higher levels of resistin expression in breast cancer specimens than in samples from cancer-free tissue and we found stronger resistin staining in tissue samples representing HER2 +  and TNBC disease than in samples from luminal A and luminal B disease, while our analysis of TCGA data revealed significantly poorer overall survival in resistin-positive tissue compared to resistin-negative samples. Notably, inhibition of resistin reduces chondrosarcoma metastasis and lymphangiogenesis  32 , 36 . Thus, the data suggest that therapeutic strategies that effectively inhibit resistin could be useful in breast cancer.\nThe prognosis of breast cancer patients depends on the clinical or pathological stage at diagnosis. Thus, individuals with hereditary breast cancer could benefit from epigenetic screening for early diagnosis and treatment that prevents the disease from developing.  RETN  polymorphisms have been identified in various cancers, including colon and lung  16 , 20 , 21 , but data are scant as to the involvement of  RETN  polymorphisms in breast cancer. As far as we are aware, our study is the first to investigate the distributions of the rs3745367, rs7408174, rs1862513 and rs3219175 SNPs and their associations with the development and progression of breast cancer in Chinese Han women. Here, we found that women carrying the GG genotype of the  RETN  rs3219175 polymorphism were more likely than those with GG homozygotes to develop breast cancer, while those carrying at least one A allele in rs3219175 compared with carriers of wild-type GG homozygotes were at increased risk for breast cancer. Our previous study has reported SNP rs3219175 and rs7408174 at greater risk of developing RA disease  44 , and the effects of these variants on resistin expression require to be further examined in breast cancer cells in the future. A previous study has reported that the rs1862513 SNP in  RETN  increased breast cancer risk and a tendency for luminal breast tumors in Mexican women, which divided into different subtypes according to BMI  45 . It was similar to our results but we separated different subtypes of breast cancer patients based on their clinical pathohistological diagnosis, and we could further considered BMI variable and metastatic gene  CAP1  in our future study. This evidence implicates critical roles for resistin and  RETN  polymorphisms in breast cancer.\nBetween 2010 and 2014, 5-year relative survival rates for breast cancer were ~90.2% in the USA  46  and ~80% in China  47 . As the prognosis of breast cancer patients depends on their clinical and pathological status at diagnosis, early diagnosis is essential and is becoming ever more possible with improvements in screening strategies and the wider availability of epigenetic strategies  48 ,  49 . We investigated possible associations between  RETN  polymorphisms, clinical and pathological markers, and susceptibility to breast cancer. We found that individuals carrying the CT genotype at the rs7408174 polymorphism were more likely to progress to late-stage disease. Carriers of at least one C allele at rs7408174 had a higher risk of developing stage III/IV disease and of developing highly pathological grade III disease. Similarly, among those with luminal A breast cancer, having the CT genotype at SNP rs7408174 was linked to a risk of stage III/IV disease and pathological grade III disease. The SNP rs3219175 had no significance in the clinical status of breast cancer patients (data not shown). Our results also revealed that high BMI (>24 kg/m 2 ) in the resistin-positive cohort increased the risk of pathological grade III disease. Our findings contribute to data concerning the correlation between resistin and breast cancer development. In addition, no significant patterns of linkage disequilibrium were observed in any of the  RETN  genotypes analysed from breast cancer patients (Supplementary  Fig. S1 ).\nIt is established that gene expression can be controlled by polymorphisms that appear in the 3ʹ-flanking region  50 . According to the evidence from the GTEx database, the CC genotype at rs7408174 showed a trend for increased expression of resistin, compared with levels of resistin expression found in individuals with wild-type TT homozygous genotypes. This result confirms our SNP data and indicates that  RETN  SNPs rs7408174 and rs3219175 SNPs may control resistin expression.\nIn conclusion, our investigation demonstrates an association between  RETN  gene variants and susceptibility for breast cancer and its progression among Chinese Han women carrying the  RETN  rs3219175 and rs7408174 polymorphisms. We also identified high levels of resistin expression in breast cancer patients. Resistin appears to be a predictive marker for breast cancer treatment.\n\nSupplementary figure S1.\nClick here for additional data file.","source_license":"CC-BY-4.0","license_restricted":false}