Analysis of the association of HOTAIR single nucleotide polymorphism (rs920778) and risk of cervical cancer

HOTAIR in cancer: diagnostic, prognostic, and therapeutic perspectives

The long non-coding RNA HOTAIR is overexpressed in many cancers and is associated with several cancer-promoting effects, including increased cell proliferation, migration and treatment resistance. HOTAIR levels correlate with tumor stage, lymph node metastasis and overall survival in patients with various types of cancer. This highlights the potential uses of HOTAIR, including early cancer detection, predicting patient outcome, identifying high-risk individuals and assisting in therapy selection and monitoring. The aim of this review is to provide a comprehensive summary of the research progress, molecular mechanisms and clinical significance of HOTAIR in various human cancers. In addition, the clinical applications of HOTAIR, such as targeted therapy, radiotherapy, chemotherapy and immunotherapy, are discussed, and relevant information on the potential future advances of HOTAIR in cancer research is provided.

Investigation of HOTAIR rs12826786, rs920778 and rs4759314 Variants With Breast Cancer Susceptibility and Clinicopathological Characteristics in a Mexican Population

BACKGROUND

Breast cancer (BC) is a multifactorial disease of unknown etiology whose major risk factors are genetic alterations of cell proliferation and migration pathways. HOX transcript antisense RNA gene (HOTAIR) is a long noncoding RNA (lncRNA) related to cell proliferation, progression, invasion, metastasis, and poor survival of multiple cancers, including BC. Controversial results have emerged on the association between breast cancer risk in multiple ethnicities. This study explores the association of rs12826786, rs920778, and rs4759314 variants in the HOTAIR gene in BC patients.

METHODS

DNA of peripheral blood samples was obtained from 588 women (289 patients and 299 control females). Genotypes were identified using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methodology. The association was calculated using the odds ratio (OR) test. p-values were adjusted by the Bonferroni test (0.016).

RESULTS

The rs12826786 (C > T), rs920778 (T > C), and rs4759314 (A > G) variants were associated with BC and with TNM stage, histologic type, and histologic molecular subtype (P = .001). Likewise, the haplotype C-T-G in the HOTAIR gene (rs12826786-rs920778-rs4759314) was significantly related to BC (OR = 5.44, 95% CI, 2.22-13.32, P = .001).

CONCLUSION

The results suggest that rs12826786, rs920778, and rs4759314 variants in HOTAIR significantly influence breast cancer risk.

Association of HOTAIR rs7958904 Polymorphism with Cervical Cancer Risk

Cervical cancer (CC) has been the prominent cause of cancer-associated fatalities among women in developing countries. In terms of occurrence and mortality, it is ranked second in Bangladesh. Although different genetic polymorphisms linked with this cancer have been investigated over time, the association between the HOTAIR rs7958904 variant and cervical cancer is being reported for the first time in Bangladeshi women. RT-PCR-based TaqMan assay was employed to perform this case-control study on 200 cervical cancer patients and 148 healthy volunteers. Both cases and controls had average ages of 57.5 and 52.5 years, respectively. According to Hardy-Weinberg equilibrium, the rs7958904 allele of HOTAIR gene pretended no deviation for both cases and control groups. The genotyping results showed that rs7958904 has a significant correlation to the development of cervical cancer in different genetic association models, such as co-dominant 1 (CC vs. GG: OR = 1.67, p = 0.0435), co-dominant 2 (CC vs. GG: OR = 3.13, p = 0.0006), co-dominant 3 (CC vs. CG: OR = 1.88, p = 0.0384), dominant (CG + CC vs. GG: OR = 1.98, p = 0.004), recessive (CC vs. GG + CG: OR = 2.25, p = 0.005), and allele model (C vs. G: OR = 1.70, p = 0.0006). In conclusion, the HOTAIR rs7958904 variant has a substantial role in cervical cancer development in Bangladeshi women. Further functional studies with a larger population size are required to support our findings.

Comprehensive investigation of long non-coding RNA HOTAIR polymorphisms and cancer risk: a current meta-analysis encompassing 96,458 participants

Cancer ranks as the second leading cause of mortality worldwide, prompting extensive investigations into factors contributing to its development. Among these factors, genetic variations, known as genotypic polymorphisms, have been identified as significant influencers in the susceptibility to various types of cancer. Recent research has focused on exploring the connection between polymorphisms in the Long Non-coding RNA HOTAIR and cancer risk. However, the results from these studies have been inconsistent, leading to ambiguity and controversy. To address this uncertainty, we conducted a systematic analysis by gathering relevant studies from PubMed, EMBASE, and Google Scholar. Specifically, we focused on three well-studied polymorphisms within the HOTAIR lncRNA (HOTAIR rs920778 C > T, HOTAIR rs1899663 G > T, HOTAIR rs4759314 A > G) and their association with cancer risk. Our meta-analysis included data from 48 case-control studies involving 42,321 cases and 54,137 controls. The results of our updated meta-analysis revealed a significant correlation between HOTAIR rs1899663 G > T and HOTAIR rs4759314 A > G polymorphisms and overall cancer risk, particularly in the homozygous and recessive genetic models. Subgroup analysis further revealed that these associations were notably pronounced in the Asian population but not observed in the Iranian population. Furthermore, our findings underscore the potential of HOTAIR polymorphisms as diagnostic markers for overall cancer risk, particularly in gynecological cancers, precisely, HOTAIR rs1899663 G > T polymorphism in breast cancer. In conclusion, our systematic analysis provides compelling evidence that Long Non-coding RNA HOTAIR polymorphisms are linked to cancer risk, particularly in certain populations and cancer types, suggesting their potential clinical relevance as diagnostic indicators.

Long noncoding RNA polymorphisms in gynecological cancers

Gynecological malignancies are one of the main causes of cancer-induced mortality. Despite remarkable recent therapeutic advances, current therapeutic options are not sufficient. Regarding the effect of long noncoding RNAs (lncRNAs) on cell differentiation, proliferation and apoptosis, variations in their expression cause different anomalies, such as tumorigenesis. SNPs influence lncRNA function and expression. LncRNA polymorphisms can predict cancer risk and are effective for early diagnosis and customized therapy. In this literature review, we comprehensively investigate the effect of lncRNA polymorphisms on gynecological cancers. LncRNA-related variants are proposed to evaluate cancer incidence, early detection and management of personalized therapy. Nonetheless, more studies are required to validate the consistency of current findings in numerous samples and across various ethnic groups.

Genetic Variants of HOTAIR Associated with Colorectal Cancer: A Case-Control Study in the Saudi Population

Genetic polymorphism in long noncoding RNA (lncRNA) HOTAIR is linked with the risk and susceptibility of various cancers in humans. The mechanism involved in the development of CRC is not fully understood but single nucleotide polymorphisms (SNPs) can be used to predict its risk and prognosis. In the present case-control study, we investigated the relationship between HOTAIR (rs12826786, rs920778, and rs1899663) polymorphisms and CRC risk in the Saudi population by genotyping using a TaqMan genotyping assay in 144 CRC cases and 144 age- and sex-matched controls. We found a significant (p < 0.05) association between SNP rs920778 G > A and CRC risk, and a protective role of SNPs rs12826786 (C > T) and rs1899663 (C > A) was noticed. The homozygous mutant "AA" genotype at rs920778 (G > A) showed a significant correlation with the female sex and colon tumor site. The homozygous TT in SNP rs12816786 (C > T) showed a significant protective association in the male and homozygous AA of SNP rs1899663 (C > A) with colon tumor site. These results indicate that HOTAIR can be a powerful biomarker for predicting the risk of colorectal cancer in the Saudi population. The association between HOTAIR gene polymorphisms and the risk of CRC in the Saudi population was reported for the first time here.

Association of Polymorphisms in the Long Non-Coding RNA HOTAIR with Recurrent Pregnancy Loss in a Korean Population

Recurrent pregnancy loss (RPL) affects 1% to 5% of women, with devastating effects on both reproductive health and psychological well-being. Homeobox (HOX) transcript antisense RNA (HOTAIR) is a long non-coding RNA (lncRNA) produced by HOXC; it plays a major role in invasion and development of ovarian and other cancers. The aim of the present study was to analyze effects of HOTAIR polymorphisms (rs4759314 A>G, rs920778 T>C, rs1899663 G>T, and rs7958904 G>C) on RPL in Korean women. A total of 403 women with RPL and 383 healthy women were selected for this study. Genotyping analysis was performed with the polymerase chain reaction, restriction fragment length polymorphism, and the TaqMan genotyping assay. Clinical characteristics were compared using Student's unpaired t-test and the chi-square test for categorical variables. Logistic regression was performed to evaluate associations between single nucleotide polymorphisms and RPL incidence. In all assays, p < 0.05 was considered significant. HOTAIR polymorphisms rs4759314A>G and rs920778T>C were highly associated with increased risk of RPL, specifically the haplotypes rs4759314A>G/rs1899663G>T (G-T) and rs4759314A>G/rs920778 T>C (G-C). These associations were maintained in haplotypes that contained three polymorphisms (rs4759314 A>G, rs920778 T>C, and rs1899663 G>T) A-C-G, G-T-G, and G-T-T, further indicating that the HOTAIR rs4759314 and rs920778 polymorphisms play significant roles in idiopathic RPL in Korean women.

The role of long noncoding RNAs in therapeutic resistance in cervical cancer

Cervical cancer is one of the common tumors and often causes cancer-related death in women. Chemotherapy is a common cancer therapy, which displays a pivotal clinical benefit for cancer patients. However, chemoresistance becomes a big obstacle for failure of treatment in cancer patients. Recently, long noncoding RNAs (lncRNAs) have been identified to regulate drug resistance in human cancers, including cervical cancer. In this review, we describe the role of lncRNAs in regulation of chemotherapeutic resistance in cervical cancer. We also discuss the molecular mechanisms of lncRNA-mediated drug resistance in cervical cancer. Moreover, we describe that targeting lncRNAs could reverse drug resistance in cervical cancer. Therefore, lncRNAs could become effective therapeutic targets and chemotherapeutic sensitizers for cervical cancer patients.

Association between genetic variants (rs920778, rs4759314, and rs217727) in LncRNAs and cervical cancer susceptibility in Chinese population: A systematic review and meta-analysis

Objective: The relationship between gene polymorphisms in long non-coding RNAs (LncRNAs) and cervical cancer susceptibility has been thoroughly analyzed; however, the conclusions are inconsistent. Therefore, this systematic review and meta-analysis aimed to accurately assess the relationship between them. Method: Eligible literatures were retrieved from PubMed, Medline, China National Knowledge Infrastructure (CNKI), and WanFang databases before 1 April 2022. The odds ratios with the corresponding 95% confidence intervals were used to evaluate the strength of these relationships. Sensitivity analysis for publication bias was conducted to assess the stability and reliability of included literatures. Results: A total of 59 SNPs in 11 LncRNAs were summarized for a systematic review in this study, and then, a meta-analysis of rs920778 and rs4759314 polymorphisms in HOTAIR and rs217727 polymorphisms in H19 was conducted. The results demonstrated that rs920778 and rs4759314 polymorphisms were significantly correlated with cervical cancer susceptibility. Further subgroup analysis of rs920778 polymorphism showed that both small sample size and large sample size subgroups were associated with cervical cancer susceptibility. However, no association was found between rs217727 polymorphism and cervical cancer risk in all five genetic models. Conclusion: In conclusion, the rs4759314, rs920778, and rs217717 polymorphisms of HOTAIR and H19 may be associated with cervical cancer. However, the results should be interpreted with caution due to the limited sample and heterogeneity in this study. Large-scale and well-designed studies need to be practiced to validate our results.

Association between HOX Transcript Antisense RNA Single-Nucleotide Variants and Recurrent Implantation Failure

Recurrent implantation failure (RIF) refers to the occurrence of more than two failed in vitro fertilization–embryo transfers (IVF-ETs) in the same individual. RIF can occur for many reasons, including embryo characteristics, immunological factors, and coagulation factors. Genetics can also contribute to RIF, with some single-nucleotide variants (SNVs) reported to be associated with RIF occurrence. We examined SNVs in a long non-coding RNA, homeobox (HOX) transcript antisense RNA (HOTAIR), which is known to affect cancer development. HOTAIR regulates epigenetic outcomes through histone modifications and chromatin remodeling. We recruited 155 female RIF patients and 330 healthy controls, and genotyped HOTAIR SNVs, including rs4759314, rs920778, rs7958904, and rs1899663, in all participants. Differences in these SNVs were compared between the patient and control groups. We identified significant differences in the occurrence of heterozygous genotypes and the dominant expression model for the rs1899663 and rs7958904 SNVs between RIF patients and control subjects. These HOTAIR variants were associated with serum hemoglobin (Hgb), luteinizing hormone (LH), total cholesterol (T. chol), and blood urea nitrogen (BUN) levels, as assessed by analysis of variance (ANOVA). We analyzed the four HOTAIR SNVs and found significant differences in haplotype patterns between RIF patients and healthy controls. The results of this study showed that HOTAIR is not only associated with the development of cancer but also with pregnancy-associated diseases. This study represents the first report showing that HOTAIR is correlated with RIF.

Contributions of HOTAIR polymorphisms to the susceptibility of cancer

OBJECTIVE

Hox transcript antisense intergenic RNA (HOTAIR), a lncRNA, functions as a critical regulator in cancer development. A plenty of case-control studies were conducted to assess the actual relationship of HOTAIR gene generic variants on cancer susceptibility, yet conflicting conclusions remain. Herein, we carried out this up-to-date meta-analysis to get a better understanding of such relationship by incorporating all eligible case-control studies.

MATERIALS AND METHODS

Six widely investigated polymorphisms were included in this meta-analysis: rs920778, rs4759314, rs7958904, rs874945, rs1899663, and rs12826786. We retrieved relevant studies from databases PubMed, EMBASE, Medline, CNKI and Wanfang update to June 2020. We applied odds ratios (ORs) and 95% confidence intervals (CIs) to estimate the relationship strengths.

RESULTS

Our findings indicate that rs920778, rs4759314, rs874945, rs12826786 polymorphism significantly increased with susceptibility to overall cancer. However, rs7958904, rs1899663 under any five genetic models could not impact susceptibility to overall cancer. Furthermore, altered cancer risk was detected when the data were stratified by cancer type, ethnicity, the source of controls, and HWE in all the SNPs.

CONCLUSIONS

These findings of the meta-analysis suggest that HOTAIR polymorphisms may predispose to cancer susceptibility.

Relationship between MEG3 gene polymorphism and risk of gastric cancer in Chinese population with high incidence of gastric cancer

Objective: Gastric cancer is the most common gastrointestinal malignancy in China and results from a combination of genetic and environmental factors. The present study was conducted to investigate the relationship between long noncoding RNA (lncRNA) materally expressed gene 3 (MEG3) single nucleotide polymorphisms (SNPs) and the risk of gastric cancer and to construct a genetic-environmental risk assessment model. Methods: A case–control study was conducted to include 474 patients with gastric cancer diagnosed by clinical and pathological examination and 543 healthy physical examination subjects. Blood samples, general demographic data and behavioral lifestyle of the subjects were collected. The TaqMan real-time PCR method was used for testing the genotypes of MEG3 rs7158663 and rs10132552. Results: The A allele at the rs7158663 loci of MEG3 was found to be risk factor for gastric cancer (odds ratio (OR) = 1.41, 95% confidence interval (95% CI) = 1.14–1.74, P=0.002). Yet, no significant association between rs10132552 polymorphisms and gastric cancer was observed. Drinking, tea drinking and preserved food eating were risk factors for gastric cancer (P<0.05). A genetic–environmental risk assessment model was established by using the logistic regression model to include MEG3 rs7158663, drinking, tea drinking, and preserved food eating. With the increase in risk score (RS), the risk of gastric cancer increased substantially (P<0.05). And the area under the receiver operating characteristic (ROC) curve was 0.745, which indicates a high diagnostic value. Conclusions:MEG3 rs7158663 might be associated with the risk of gastric cancer; the diagnostic ability of genetic–environmental risk assessment model for gastric cancer is better.

Associations between HOTAIR polymorphisms rs4759314, rs920778, rs1899663, and rs7958904 and risk of primary ovarian insufficiency in Korean women

BACKGROUND

We investigated the association between the Hox transcript antisense RNA (HOTAIR) polymorphisms rs4759314, rs920778, rs1899663, and rs7958904 and primary ovarian insufficiency (POI) in Korean women.

METHODS

We conducted a case-control study of 134 Korean women with POI and 383 control individuals with at least one live birth and no history of pregnancy loss.

RESULTS

The GT genotype of rs1899663 was associated with a decreased risk of POI compared with other genotypes at that locus. In addition, compared with the wild-type homozygous genotypes, the combination of the AA genotype of rs4759314 and the GC genotype of rs7958904 was associated with a decreased risk of POI (P < 0.05), whereas the combination of the GG genotype of rs1899663 and the GC genotype of rs7958904 was associated with an increased risk of POI (P = 0.003). Haplotype analysis revealed that certain haplotypes involving some or all of the polymorphisms were associated with a decreased risk of POI, whereas other haplotypes were associated with an increased risk of POI. Serum levels of luteinizing hormone, follicle-stimulating hormone, and estradiol differed between patients with POI and control individuals (P < 0.05).

CONCLUSIONS

Our results suggest that the HOTAIR polymorphisms rs4759314, rs920778, rs1899663, and rs7958904 are involved in POI.

Association between HOTAIR genetic polymorphisms and cancer susceptibility: A meta-analysis involving 122,832 subjects

The association between polymorphisms in HOTAIR gene and cancer susceptibility has been analyzed intensively, but the conclusions are inconsistent. Therefore, we carried out a meta-analysis aiming to assess the relationship exactly. Eligible studies were searched in PubMed and Embase databases up to October 31, 2019. Odds ratios with 95% confidence intervals were used to assess the strength of association. Sensitivity analysis and publication bias were applied to evaluate the reliability of the study. Moreover, TSA was conducted to estimate the robustness of the results. Totally, 116 studies involving 122,832 subjects were analyzed in our meta-analysis. Significant increased risk of cancer was detected for the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms. Further subgroup analyses according to cancer type revealed that different polymorphisms were associated with the risk of specific type of cancer. For example, the rs4759314 polymorphism was significantly associated with the risk of estrogen-dependent cancer, whereas the rs920778 polymorphism was associated with the risk of gastrointestinal cancer. In conclusion, our findings indicated that the rs4759314, rs920778, rs1899663, rs12826786 and rs874945 polymorphisms in HOTAIR may serve as genetic biomarkers of cancer.

The emerging role of the long non-coding RNA HOTAIR in breast cancer development and treatment

Despite considering vast majority of the transcribed molecules as merely noise RNA in the last decades, recent advances in the field of molecular biology revealed the mysterious role of long non-coding RNAs (lncRNAs), as a massive part of functional non-protein-coding RNAs. As a crucial lncRNA, HOX antisense intergenic RNA (HOTAIR) has been shown to participate in different processes of normal cell development. Aberrant overexpression of this lncRNA contributes to breast cancer progression, through different molecular mechanisms. In this review, we briefly discuss the structure of HOTAIR in the context of genome and impact of this lncRNA on normal human development. We subsequently summarize the potential role of HOTAIR overexpression on different processes of breast cancer development. Ultimately, the relationship of this lncRNA with different therapeutic approaches is discussed.

Long non-coding RNA HOTAIR in cervical cancer: Molecular marker, mechanistic insight, and therapeutic target

Cervical cancer is a common gynecologic malignant tumor with high mortality. HOX transcript antisense RNA (HOTAIR), a trans-acting long non-coding RNA (lncRNA) containing six exons in humans, is transcribed from the antisense strand of homeobox gene C cluster. This lncRNA serves as a modular scaffold for gene silencing and protein ubiquitination. In patients with cervical cancer, elevated HOTAIR levels are significantly associated with poor prognosis. HOTAIR plays an oncogenic role in cervical cancer by promoting cell proliferation, migration, invasion and autophagy, inhibiting cell apoptosis, stimulating angiogenesis, accelerating cell cycle progression, and inducing epithelial-mesenchymal transition. Moreover, blockade of HOTAIR by artesunate or propofol shows promise for further development of this lncRNA as a potential therapeutic target in cervical cancer. In this review, we summarized the latest advances regarding the role of HOTAIR in cervical cancer with an emphasis on its diagnostic and prognostic values.

Association study of long non-coding RNA HOTAIR rs920778 polymorphism with the risk of cancer in an elderly Japanese population

The HOTAIR gene encodes a long noncoding RNA (lncRNA), which functions in development and tumorigenesis. A single nucleotide polymorphism (SNP) rs920778 in the HOTAIR gene, has been recurrently studied for susceptibility to many cancers including oesophageal cancer, gastric cancer, lung cancer, and hepatocellular carcinoma. Most of these studies were conducted in Chinese populations, and a few in Turkish, Iranian, and Portuguese populations. They mostly give rise to controversial results. It still remains largely unknown whether the cancer risk is conferred in a Japanese population. Here, we established an association study on the representative SNP rs920778, to examine its contribution to the presence of cancer in consecutive autopsy cases in the JG-SNP database. A total of 1373 subjects (mean age 80) including 827 cancer positive and 546 cancer negative subjects were analyzed. As a result, the occurrence of overall cancer was not associated with the rs920778 polymorphism (p > 0.05). For each cancer type, we did not find association except for lung cancer (p = 0.04) which was more likely a by-chance association after multiple testing. Our findings imply that rs920778 polymorphism does not affect total cancer presence and the effect on specific cancer types is also weak in the Japanese population.

Effect of MALAT1 Polymorphisms on Papillary Thyroid Cancer in a Chinese Population

Background: Long noncoding RNA MALAT1 has been previously reported in the carcinogenesis of several tumors, and its potential functional polymorphisms have also been investigated in various diseases. However, the relationship between these polymorphisms and the susceptibility of thyroid cancer has still been largely unknown. In the present study, we aimed to explore the association between MALAT1 polymorphisms and thyroid cancer (TC) susceptibility, as well as potential biological function in TC.

Methods: We conducted a case-control study with 1134 papillary thyroid cancer (PTC) patients and 1228 controls to evaluate the potential correlation between MALAT1 genetic variations (single nucleotide polymorphism, SNP) and the risk of PTC. More detailed molecular mechanisms were explored by luciferase assay, cell counting kit-8 (CCK-8), and flow cytometry.

Results: MALAT1 SNP rs619586 was identified as a significantly protective factor of PTC susceptibility (P = 0.017, OR= 0.76, 95%CI = 0.60-0.95). Further functional experiments of rs619586 indicated that G allele of rs619586 could significantly decrease MALAT1expression, reduce PTC proliferation, and directly increase PTC apoptosis.

Conclusions: Our findings suggested that MALAT1 SNP rs619586 could serve as a potential indicator for PTC susceptibility and pathogenesis.

Impact of HOTAIR variants on preeclampsia susceptibility based on blood and placenta and in silico analysis

HOX transcript antisense RNA (HOTAIR) as a lncRNA involves in epigenetic regulation of various genes. Several studies have been suggested the effects of HOTAIR polymorphisms on different diseases. The aim of the present study was to evaluate the effect of maternal and placental HOTAIR polymorphisms on risk of preeclampsia (PE). The maternal blood of 203 preeclamptic and 202 nonpreeclamptic pregnant women as well as the placentas of 87 of preeclamptic and 95 nonpreeclamptic pregnant women were genotyped for HOTAIR polymorphisms. There was no association between maternal and placental HOTAIR polymorphisms (rs12826786, rs920778, and rs1899663) and PE risk. However, the maternal rs4759314AG and dominant model genotypes were associated with increased risk of PE. The maternal and placental HOTAIR rs10783618 polymorphism was associated with PE risk in recessive and allelic models. Haplotype analysis showed that, the maternal CTGAT and CCTAT and placental CTGAT haplotypes were significantly higher and maternal CTGAC, TCTAT, and TTGAT and placental CTGAC haplotypes were significantly lower in PE women. In silico analysis revealed that HOTAIR rs1899663 had a main effect on the secondary structure of mRNA, however, HOTAIR rs4759314 variant had potential alteration of splicing. In conclusion, the maternal and placental HOTAIR rs10783618 polymorphism might increase PE susceptibility. © 2019 IUBMB Life, 71(9):1367-1381, 2019.

Association of HOTAIR gene polymorphisms and haplotypes with uterine leiomyoma susceptibility in southeast of Iran

Uterine leiomyoma (UL) is the most common benign tumor of the uterus. HOX transcript antisense RNA (HOTAIR) as a lncRNAs is the product of HOXC gene that plays a major role in the invasion and development of different tumors. Several lines of evidence have been suggested the effects of HOTAIR polymorphisms on cancer risk. The aim of the present study was to analyze the effects of HOTAIR polymorphisms (rs12826786, rs920778, rs4759314 and rs1899663) on UL in southeast of Iran. A total of 152 women with UL and 182 age-matched healthy women were selected in the case-control study. The PCR-RFLP and ARMS-PCR methods were used for genotyping. HOTAIR rs920778 polymorphism was associated with a lower risk of UL in dominant [OR, 0.5 (95% CI, 0.3-0.9); P = 0.03], recessive [OR, 0.6 (95% CI, 0.4-0.9; P = 0.016] and allelic models [OR, 0.6(95% CI, 0.5-0.9); P = 0.004]. However, HOTAIR rs12826786 polymorphism was associated with a higher risk of UL in dominant [OR, 2.6 (95% CI, 1.6-4.1); P = 0.0001], recessive [OR, 1.9 (95% CI, 1-3.6); P = 0.04] and allelic models [OR, 1.8 (95% CI, 1.3-2.4); P = 0.0003]. There was no association between HOTAIR rs4759314 and rs1899663 polymorphisms and UL susceptibility. The frequency of CTGA haplotype was lower in UL women; however, the CCGA, TCGA, TTTA, and TTGA haplotypes were more frequent in UL women. Our results indicated that HOTAIR rs12826786 and rs920778 polymorphisms had a significant effect on UL susceptibility. The HOTAIR haplotypes could affect UL susceptibility.

The effect of long noncoding RNAs HOX transcript antisense intergenic RNA single-nucleotide polymorphisms on breast cancer, cervical cancer, and ovarian cancer susceptibility: A meta-analysis

Recent studies have shown that long noncoding RNAs (lncRNA) HOX transcript antisense intergenic RNA (HOTAIR) polymorphisms are associated with cancer susceptibility. The greatest threat to women's health among a variety of cancers is breast cancer (BC), cervical cancer (CC), and ovarian cancer (OC), and the incidence of it is increasing. We performed a meta-analysis to clarify the relationship between lncRNA HOTAIR expression and BC, CC, and OC susceptibility. We thoroughly searched PubMed, Embase, and the Cochrane Library to obtain the relevant literature. We extracted data from case groups and control groups for each single-nucleotide polymorphism (SNP) (rs4759314, rs920778, rs189663, rs12826786, rs7958904, and rs874945) and compared the relationship between alleles, codominance models, dominant and invisible models and BC, CC, and OC susceptibility. Our study included 11 studies with a total of 5322 patients. There was a significant association between the rs4759314 polymorphism of HOTAIR and susceptibility to BC, CC, and OC (codominant model: AG/AA odds ratio [OR] = 1.13 [95% confidence intervals [CI], 1.00-1.29], GG/AA OR = 1.54 [95% CI, 1.06-2.23]; dominant model: GG + AG/AA OR = 1.16 [95% CI, 1.02-1.32]; and recessive model: GG/AA + AG OR = 1.51 [95% CI, 1.05-2.19]). The association between the expression of rs920778 and BC, CC, and OC susceptibility was not clear (alleles T/C: OR = 1.28 [95% CI, 0.87-1.89]; in codominant model: CT/CC OR = 1.10, [95% CI, 0.71-1.71], TT/CC OR = 1.29 [95% CI, 0.59-2.80]; dominant model: TC + TT/CC OR = 1.16, [95% CI, 0.73-1.86]; and recessive model: TT/TC + CC OR = 1.43, [95% CI, 0.83-2.47]). HOTAIR polymorphism rs1899663 was associated with BC, CC, and OC susceptibility to a certain extent, (alleles T/G OR = 0.90 [95% CI, 0.69-1.16]; in the codominant model: GT/GG OR = 0.81 [95% CI, 0.50-1.30], TT/GG OR = 1.04 [95% CI, 0.63-1.72]; dominant model: GT + TT/GG OR = 0.82 [95% CI, 0.52-1.29]; and recessive model: TT/GT + GG OR = 1.21 [95% CI, 0.76-1.94]). The rs12826786, rs7958904, and rs874945 polymorphisms were associated with a certain degree of BC, CC, and OC susceptibility, but they were not statistically significant. HOTAIR rs4759314 increased susceptibility to BC, CC, and OC in some patients; rs029778 and rs1899663 also increased susceptibility to some extent. SNPs rs12826786, rs7958904, and rs874945 did not correlate with an effect on patient susceptibility to BC, CC, and OC.

Genetic variants in a long noncoding RNA related to Sunitinib Resistance predict risk and survival of patients with renal cell carcinoma

Objective

LncARSR (lncRNA Activated in RCC with Sunitinib Resistance, ENST00000424980) is a newly identified lncRNA to promote the sunitinib resistance of renal cell carcinoma (RCC), which may contribute to tumorigenesis and progression. This study aimed to explore the association of lncARSR tagSNPs with the risk and prognosis of RCC.

Methods

In this study, a 2‐stage case‐control study was performed to evaluate the association between 2 tagging SNPs (rs1417080 and rs7859384) and RCC susceptibility. Odds ratios (ORs) and 95% confidence intervals (CIs) were obtained by unconditional logistic regression analyses. Different survival time was estimated by the Kaplan‐Meier method and compared by the Log‐rank test. Hazard ratios (HRs) and their 95% CIs were calculated to determine predictive factors by Cox proportion hazards model.

Results

When combing discovery and validation sets together, rs7859384 was determined to be significantly associated with the decreased RCC risk with all P < 0.05 in 4 models (co‐dominant model, additive model, dominant model and recessive model). stratified analyses showed prominent risk effect of SNP rs7859384 GA/GG genotypes was found in clinical subgroups of stage I and stage II (P = 0.009, OR = 0.77, 95% CI = 0.64‐0.94) and individuals with clear cell RCC (P = 0.014, OR = 0.79, 95% CI = 0.65‐0.95). A protective effect of SNP rs7859384 GA/GG genotypes was observed among individuals with BMI > 24 (P = 0.025, OR = 0.74, 95% CI = 0.56‐0.96), without hypertension (P = 0.037, OR = 0.79, 95% CI = 0.63‐0.99), without family history of cancer (P = 0.048, OR = 0.83, 95% CI = 0.68‐1.00). Survival analyses revealed individuals with GA/GG genotypes had higher survival rate compared with the corresponding AA wild genotypes in the dominant model (log‐rank P = 0.005, adjusted HR = 0.34, 95% CI = 0.16‐0.73).

Conclusion

This study suggests that rs7859384 of lncARSR was associated with RCC susceptibility and may act as a prognostic biomarker for patients with RCC.

Polymorphisms in IGF2/H19 gene locus are associated with platinum-based chemotherapeutic response in Chinese patients with epithelial ovarian cancer

AIM

The present study aimed to assess the association between IGF2/H19 genetic variants and susceptibility to platinum-based chemotherapy in epithelial ovarian cancer (EOC).

METHODS

A total of 43 platinum-resistant (PR) and 138 platinum-sensitive (PS) EOC patients were recruited in our study. 21 polymorphisms in IGF2/H19 locus were genotyped by Sequenom MassARRAY assay.

RESULTS

The frequencies of GG genotype in both rs3842761(C/G) and rs4244809(A/G) were significantly lower in PR group compared with those in PS group (9.76 vs 23.36%, p = 0.049; 9.76 vs 26.09%, p = 0.045; respectively). Compared with the AA genotype, rs4244809 GG genotype was associated with significantly reduced risk of platinum resistance (adjusted OR: 0.30; 95% CI: 0.10-0.91; p = 0.033). Further stratified analyses revealed that the SNPs of rs3842761 and rs4244809 were greatly related to PR risk in FIGO stage III-IV (rs3842761GG/CC+CG: adjusted OR: 0.15; 95% CI: 0.02-1.21; rs4244809 GG/AA+AG: adjusted OR: 0.24; 95% CI: 0.07-0.84; respectively) and serous adenocarcinoma subgroups (rs3842761 GG/CC+CG: adjusted OR: 0.21; 95% CI: 0.05-0.94; rs4244809 GG/AA+AG: adjusted OR: 0.19; 95% CI: 0.04-0.5; respectively), while rs7924316 polymorphism was associated with reduced risk of PR in serous adenocarcinoma subgroup as analyzed by a recessive model (rs7924316 GG/TT+TG: adjusted OR: 0.22; 95% CI: 0.05-0.98). In addition, both TCT haplotypes of rs3741206/rs3842761/rs7924316 and TC haplotype of rs3741206/rs3842761 were associated with elevated risk of PR (for the TCT haplotype of rs3741206/rs3842761/rs7924316: p = 0.049; OR: 1.69; 95% CI: 1.00-2.87; for the TC haplotype of rs3741206/rs3842761: p = 0.044; OR: 1.71; 95% CI: 1.01-2.88).

CONCLUSION

These results suggest that polymorphisms in IGF2/H19 gene locus are associated with PR risk in EOC.

Genetic variation of long non-coding RNA TINCR contribute to the susceptibility and progression of colorectal cancer

Colorectal cancer (CRC) accounts for the leading causes of cancer-related morbidity and mortality. However, a large part of heritable factors are warranted to be explored. Long non-coding RNAs (lncRNAs) serve critical roles in cancer development and progression. Herein, we explored effect of genetic variants of Tissue differentiation-inducing non-protein coding RNA (TINCR), a key lncRNA required for somatic tissue differentiation and tumor progression, on risk and progression of CRC. Three tagSNPs, including rs2288947, rs8105637, and rs12610531, were evaluated in in a two-stage, case-control study. Two SNPs, rs2288947 and rs8105637, were significantly associated with susceptibility of CRC in both stages. When pooled together, the allele G was significantly associated with 23% decreased risk of CRC (OR=0.77; 95% CI=0.67-0.88; P value = 1.2×10-4)for SNP rs2288947. While for SNP rs8105637, the allele A was significantly associated with 22% increased risk of CRC (OR=1.22; 95% CI=1.09-1.37; P value = 6.2×10-4). The two SNPs were also statistically associated with occurrence of lymph node metastasis of CRC. The carriers of allele G are less likely to get lymph node metastasis (OR=0.77; 95% CI=0.63-0.94; P value = 0.011) for rs2288947, and the carriers of allele A are more likely to get lymph node metastasis (OR=1.22; 95% CI=1.03-1.43; P value = 0.019) for rs8105637. These results suggest that lncRNA TINCR polymorphisms may be implicated in the development and progression of CRC.

Association between the HOTAIR polymorphisms and cancer risk: an updated meta-analysis

Purpose

LncRNA HOTAIR plays an important role in many cancer. Several studies have shown that some HOTAIR SNPs might be associated with tumor risk in case-control studies, but the results are inconsistent and inconclusive. Therefore, it is necessary to better evaluate association between the HOTAIR SNPs and the risk of cancer.

Results

rs920778, rs7958904 and rs874945 but not rs4759314 and rs1899663 loci were significantly related to cancer risk, among of which rs920778 and rs874945 increased and rs7958904 decreased cancer risk, respectively. Moreover, rs920778 is significantly susceptible in both Asian population and digestive cancer risks.

Materials and Methods

Data were collected from PubMed, Embase and Web of Science. A total of 11 case-control studies were selected for the quantitative analysis. Software Stata (Version 12) was used to calculate Odds ratios (ORs) and 95% confidence intervals (CIs) to evaluate the strength of the associations. Subgroup analysis, sensitivity analysis, and publication bias were also performed. Five HOTAIR SNPs were finally enrolled in the study.

Conclusions

HOTAIR SNP rs920778, rs7958904 and rs874945 are susceptible to cancer risk. SNP rs920778 is also a useful risk factor in evaluation of Asian population and digestive cancer. In addition, the cancer risk SNP rs874945 is first reported in the meta-analysis.

Long non-coding RNA HOTAIR polymorphism and susceptibility to cancer: an updated meta-analysis

Background

An increasing number of publications are drawing attention to the associations between six common polymorphisms in HOX transcript anti-sense RNA (HOTAIR) and the risk of cancers, while these results have been controversial and inconsistent. We conducted an up-to-date meta-analysis to pool eligible studies and to further explore the possible relationships between HOTAIR polymorphisms (rs920778, rs7958904, rs12826786, 4,759,314, rs874945, and rs1899663) and cancer risk.

Methods

A systematic retrieval was conducted up to 1 July 2017 in the PubMed, Web of Science, and CNKI databases. Eighteen eligible publications including 45 case-control studies with 58,601subjects were enrolled for assessing the associations between the 6 polymorphisms in HOTAIR and cancer risk. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were analyzed to reveal the polymorphisms and susceptibility to cancer. All the statistical analyses were performed using STATA 11.0 software.

Results

The pooled analyses detected significant associations between the rs920778 polymorphism and increased susceptibility to cancer in recessive, dominant, allelic, homozygous, and heterozygous models. For the rs7958904 polymorphism, we obtained the polymorphism significantly decreased susceptibility to overall cancer risk among five genetic models rather than recessive and homozygous models. For the rs12826786 polymorphism, we identified it significantly increased susceptibility to cancer risk in all genetic models rather than heterozygous models. However, no significant association was found between the rs1899663, rs874945, and rs4759314 polymorphisms and susceptibility of cancer.

Conclusion

These findings of the meta-analysis suggest that HOTAIR polymorphism may contribute to cancer susceptibility.

Electronic supplementary material

The online version of this article (10.1186/s12199-018-0697-0) contains supplementary material, which is available to authorized users.

The association between HOTAIR polymorphisms and cancer susceptibility: an updated systemic review and meta-analysis

OBJECTIVES

This work aims to explore whether HOX transcript antisense intergenic RNA (HOTAIR) polymorphisms are associated with cancer susceptibility.

MATERIALS AND METHODS

A comprehensive search was conducted for literature published from January 2007 to July 2017. The pooled odds ratios (ORs) and the corresponding 95% CIs were calculated using the Revman 5.2 software. Eighteen articles of 36 case-control studies were enrolled including six HOTAIR polymorphisms and 10 cancer types.

RESULTS

The results showed that cancer risk was elevated in recessive mutation of rs12826786 (TT vs CC+CT: OR =1.55, 95% CI =1.19, 2.03; TT+CT vs CC: OR =1.23, 95% CI =1.04, 1.46; TT vs CC: OR =1.67, 95% CI =1.24, 2.24; T vs C: OR =1.24, 95% CI =1.09, 1.40) and rs920778 (TT vs CC+CT: OR =1.73, 95% CI =1.30, 2.30; TT+CT vs CC: OR =1.40, 95% CI =1.16, 1.70; TT vs CC: OR =1.83, 95% CI =1.25, 2.68; T vs C: OR =1.37, 95% CI =1.18, 1.59), while the results for polymorphisms of rs7958904, rs4759314, rs874945, and rs1899663 were insignificant. The stratified results for Chinese population were consistent with the overall group analysis.

CONCLUSION

Our meta-analysis showed that HOTAIR polymorphisms of rs12826786 and rs920778 were correlated with increased cancer risk, while rs7958904, rs4759314, rs874945, and rs1899663 were not. More studies with different types of cancer are needed to confirm the findings.

No association of single nucleotide polymorphisms within H19 and HOX transcript antisense RNA (HOTAIR) with genetic susceptibility to systemic lupus erythematosus, rheumatoid arthritis, and primary Sjögren's syndrome in a Chinese Han population

The H19 (rs2839698, rs3741219) and HOTAIR (rs920778) polymorphisms were related to many kinds of cancers. However, these polymorphisms have been scarcely explored in different autoimmune diseases. Here, we aimed to examine the association of the polymorphisms with susceptibility to or protection against systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and primary Sjögren's syndrome (pSS) among Chinese Han patients. We conducted a case-control study including 800 patients (300 with SLE, 350 with RA, and 150 with pSS) and 350 healthy control individuals. The polymorphisms were specified from genomic DNA using TaqMan genotyping assay on a 7300 real-time reverse transcription polymerase chain reaction system. H19 rs2839698 was not associated with SLE susceptibility and was not associated with RA and pSS, respectively (P > 0.05). Similarly, we did not find significant differences of allele or genotype frequencies between SLE, RA, and pSS patients and healthy controls for H19 gene rs3741219 polymorphism (P > 0.05). In addition, no significant evidence was detected for the relationship of HOTAIR rs920778 polymorphism with risk of these diseases. Our results suggested that H19 rs2839698, rs3741219, and HOTAIR rs920778 polymorphisms may not be involved in the genetic background of SLE, RA, and pSS in Chinese.

Quantitative assessment of lncRNA HOTAIR polymorphisms and cancer risk in Chinese population: a meta-analysis based on 26,810 subjects

As a well-known long non-coding RNA, HOTAIR has been demonstrated to be involved in carcinogenesis and progression of various human cancers. Previous studies have investigated the potential association between HOTAIR polymorphisms and cancer risk in Chinese population. However, the results remain conflicting. Therefore, for the first time, we conducted a meta-analysis to derive a more precise estimation of these associations for Chinese. PubMed, Embase, CNKI and Wanfang databases were systematically searched. Odds ratios with 95% confidence intervals were applied to assess the association between rs920778, rs4759314, rs7958904, rs874945 and rs1899663 polymorphisms of HOTAIR and cancer susceptibility. Heterogeneity, sensitivity analysis and publication bias were conducted to measure the robustness of our findings. A total of 21 eligible studies comprising 12,278 cases and 14,532 controls were analyzed. The pooled data showed that rs920778 polymorphism was significantly associated with an increased cancer risk in all five genetic models in Chinese population. As for rs4759314 and rs874945 polymorphisms, similarly increased risks were found in specific genetic models and stratified groups. However, significant decreases in cancer risk were observed for rs7958904 in the total population, as well as in subgroup analyses. In addition, lack of association was detected between rs1899663 polymorphism and cancer susceptibility. In summary, our meta-analysis implicates possible relationship between HOTAIR polymorphisms and cancer risk in Chinese population.

HOTAIR: a key regulator in gynecologic cancers

Long non-coding RNAs (lncRNAs) play critical roles in the initiation and progression of human cancers. HOX transcript antisense RNA (HOTAIR) is an lncRNA localized to the mammalian HOXC gene cluster; it can interact with polycomb repressive complex 2 and the lysine-specific histone demethylase/CoREST/REST complex, and it manipulates the expression of various genes. HOTAIR promotes tumor invasion and metastasis by silencing tumor suppressors, and activating oncogenes and signaling pathways. HOTAIR is deregulated in many human cancers; despite its critical roles in health and disease, the underlying mechanisms governing HOTAIR function are unknown. In this review, we summarize the recent findings on the roles of HOTAIR in gynecologic cancers.

HOTAIR rs7958904 polymorphism is associated with increased cervical cancer risk in a Chinese population

Previously, we have identified single nucleotide polymorphisms (SNPs) rs7958904 and rs4759314 in long non-coding RNA HOX transcript antisense RNA (HOTAIR) were significantly associated with risk of colorectal and gastric cancer, respectively. Here, we aimed to investigate the association between HOTAIR SNPs and cervical cancer (CC) susceptibility. A total of 1209 cases and 1348 controls were enrolled for association study and genotyped with TaqMan allelic discrimination method. The Cancer Genome Atlas (TCGA) database was utilized for in vivo analysis of allele-specific HOTAIR expression. MTT assay was employed for evaluation of allele-specific cell proliferation. The rs7958904 CC genotype was related to an increased risk of cervical cancer compared with the GG/GC genotypes (OR = 1.57, 95% CI = 1.10–2.25). TCGA database showed the CC tissues with rs7958904 CC genotype had higher HOTAIR expression than those with GG genotype (P = 0.046). MTT assay demonstrated a growth-promoting role of rs7958904 C allele on CC cells. Further functional studies on the effect of rs7958904 on biological behavior of CC cells are needed to confirm and extend our findings. In conclusion, HOTAIR rs7958904 might influence CC susceptibility through modulation of CC cell proliferation, and could serve as a diagnostic biomarker.

A systematic review and meta-analysis of the association between long non-coding RNA polymorphisms and cancer risk

It has been suggested that long non-coding RNA (lncRNA) gene polymorphisms are associated with cancer risk. In this article, we conducted a systematic review related to studies on the association between lncRNA single-nucleotide polymorphisms (SNPs) and the overall risk of cancer. A total 17 SNPs in four common lncRNA genes were included in the meta-analysis. In the lncRNA H19, the rs2735971 A/G, rs2839698C/T, and rs3024270 G/C polymorphisms, but not rs217727C/T, were correlated with overall cancer risk. The results also suggested that other SNPs were correlated with overall cancer risk, namely, two in HOTAIR (HOX transcript antisense RNA: rs920778C/T and rs7958904 G/C) and two in PRNCR1 (rs1016343C/T and rs16901946 A/G). No association was found between the three ZNRD1-AS1 (ZNRD1 antisense RNA 1) SNPs and the risk of cancer. In summary, our findings suggest that quite a few studied lncRNA SNPs are associated with overall cancer risk; therefore, they are potential predictive biomarkers for the risk of cancer. Moreover, other lncRNA SNPs investigated were also relevant to cancer but studies on them are limited, and they were also briefly reviewed as candidate cancer markers.