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

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.

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.

A systematic review and meta-analysis of the association between HOTAIR polymorphisms and susceptibility to breast cancer

INTRODUCTION

Many studies are drawing attention to the associations of HOTAIR polymorphisms and susceptibility to breast cancer, while the results remain inconsistent. We conducted a meta-analysis on the association of four common HOTAIR polymorphisms with breast cancer susceptibility.

MATERIAL AND METHODS

Eligible published articles were searched in PubMed, Embase, Cochrane library databases and Web of Science databases up to July 2019. Odds ratios with 95% confidence intervals were used to identify potential links between lncRNA HOTAIR polymorphisms and the risk of breast cancer.

RESULTS

Our results showed no significance in all genetic models of all four SNPs. Pooled analyses detected crucial links between the rs1899663 polymorphism and decreased susceptibility to breast cancer in five genetic models rather than the dominant model in the hospital-based control subgroup. For the rs920778 polymorphism, we found that it significantly decreased breast cancer risk under recessive, homozygous and heterozygous models within the west Asian subgroup and increased breast cancer risk under allele and dominant models within the East Asian subgroup. Additionally, rs920778 polymorphism decreased breast cancer risk under recessive and heterozygous models in the hospital-based control subgroup. However, no significant association was observed between the rs4759314 polymorphism and breast cancer risk in overall and stratified analyses. For rs12826786 polymorphism, it was greatly associated with decreased breast cancer risk under recessive, homozygous and heterozygous models in the hospital-based control subgroup.

CONCLUSIONS

HOTAIR rs920778, rs1899663 and rs12826786 polymorphisms may contribute to breast cancer susceptibility.

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.

Polymorphism of lncRNAs in breast cancer: Meta-analysis shows no association with susceptibility

BACKGROUND

Long non-coding RNAs (lncRNAs) have been the target of considerable attention for their roles in many biological processes. Only a small portion of lncRNAs are functionally characterized, and several approaches have been proposed for investigating the roles of these molecules, including how polymorphisms in lncRNA genomic sites may interfere with their function. Allele frequency variation in single nucleotide polymorphisms (SNPs), for example, has been associated with several diseases, including breast cancer (BC), the most common type of cancer in women.

METHODS

In the present study, we performed a systematic review of lncRNA SNPs associated with BC and a meta-analysis of some lncRNA SNPs. We found 31 SNPs mapped in 12 lncRNAs associated with BC in 28 case-control studies.

RESULTS

Our meta-analysis showed an insignificant difference between the SNPs rs217727, rs3741219, rs2107425 and rs2839698 on H19, as well as rs920778, rs1899663, rs12826786 and rs4759314 on HOTAIR, and BC susceptibility.

CONCLUSIONS

The present analysis recognized the importance of extensive association studies, including different populations, and further evaluation of potential functional effects caused by lncRNA SNPs. Nevertheless, genetic variants such as SNPs in lncRNAs may play many other essential roles, although this field is still under explored.

Long non-coding RNA HOX transcript antisense RNA (HOTAIR) suppresses the angiogenesis of human placentation by inhibiting vascular endothelial growth factor A expression

HOX transcript antisense RNA (HOTAIR) is a long non-coding RNA located within the Homeobox C (HOXC) gene cluster on chromosome 12. Previous studies have revealed that HOTAIR is overexpressed in many types of cancers and is associated with metastasis and poor survival rates; however, few reports have mentioned the relationship between HOTAIR and angiogenesis of the human placenta. The aim of the present study was to investigate the correlation between HOTAIR and vascular endothelial growth factor (VEGF) A in the human placenta. HOTAIR levels decreased significantly in human placenta with increasing gestational age, and were negatively correlated with VEGFA levels. Invitro assays revealed that HOTAIR overexpression suppressed the proliferation, migration, invasion and tube formation of human umbilical vein endothelial cells (HUVECs); however, inhibition of HOTAIR had the opposite effects. Furthermore, VEGFA overexpression reversed the inhibitory effect of HOTAIR on the proliferation, migration, invasion and tube formation of HUVECs. In addition, overexpression of HOTAIR significantly inhibited VEGFA expression. Notably, a luciferase reporter assay found that HOTAIR inhibited VEGFA transcription by directly targeting the VEGFA promoter. Together, these results suggest that HOTAIR plays an important role in suppressing angiogenesis of the human placenta by inhibiting the expression of VEGFA; thus, HOTAIR may represent a potential therapeutic target for patients with human placental vascularisation abnormalities.

Association of long non-coding RNA HOTAIR and MALAT1 variants with cervical cancer risk in Han Chinese women

Long noncoding RNA (lncRNA) HOTAIR and MALAT1 are implicated in the development of multiple cancers. Genetic variants within HOTAIR and MALAT1 may affect the gene expression, thereby modifying genetic susceptibility to cervical cancer. A case-control study was designed, including 1 486 cervical cancer patients and 1 536 healthy controls. Based on RegulomeDB database, 11 SNPs were selected and genotyped by using Sequenom's Mass ARRAY. Univariate and multivariate logistic regression models were used to calculate the odds ratio (OR) and 95% confidence interval (CI). We found that the A allele of rs35643724 in HOTAIR was associated with increased risk of cervical cancer, while the C allele of rs1787666 in MALAT1 was associated with decreased risk. Compared to individuals with 0–1 unfavorable allele, those with 3–4 unfavorable alleles showed 18% increased odds of having cervical cancer. Our findings suggest that HOTAIR rs35643724 and MALAT1 rs1787666 might represent potential biomarkers for cervical cancer susceptibility.

Functional polymorphisms in LncRNA HOTAIR contribute to susceptibility of pancreatic cancer

Background

Pancreatic cancer (PC) remains one of the most aggressive cancers worldwide. However, genetic factors underlying PC susceptibility remain largely unclear. Long noncoding RNA (lncRNA) HOX transcript antisense RNA (HOTAIR) acts as an oncogene and its genetic variation has been linked to many cancers. However, the associations between genetic variants in HOTAIR gene and PC risk has not yet been reported.

Methods

A two-stage, case–control study was conducted to investigate the associations between HOTAIR SNPs and the PC risk. Dual luciferase reporter assay and real-time -PCR (RT-PCR) was conducted to evaluate the potential regulatory function of HOTAIR rs4759314 and rs200349340.

Results

We found the minor alleles of rs4759314 (OR = 1.76; 95 CI 1.37–2.25; P = 0.001) and rs200349340 (OR = 1.32; 95 CI 1.12–1.56; P = 0.001) were significantly associated with PC susceptibility. In functional experiments, we found subjects carrying the minor alleles of rs4759314 and rs200349340 had significantly higher HOTAIR RNA levels (mean ± SD) than those carrying the major alleles in PC tissues. For rs4759314, cells transfected with rs4759314 -G allele construct showed higher relative luciferase activity; while for rs200349340, cells transfected with rs200349340 -G allele construct showed more sensitive change of the relative luciferase activity.

Conclusion

Our studies revealed that functional SNP rs4759314 and rs200349340 of HOTAIR had strong associations with PC susceptibility. These findings elucidate that functional genetic variants influencing lncRNA expression may explain a portion of PC genetic basis.

Electronic supplementary material

The online version of this article (10.1186/s12935-019-0761-x) contains supplementary material, which is available to authorized users.

Impact of Long Non-Coding RNA HOTAIR Genetic Variants on the Susceptibility and Clinicopathologic Characteristics of Patients with Urothelial Cell Carcinoma

Increasing evidence shows that dysregulated expression of long non-coding (lnc)RNAs can serve as diagnostic or prognostic markers in urothelial cell carcinoma (UCC), the most common pathological type of bladder cancer. lncRNA HOX transcript antisense RNA (HOTAIR) was shown to promote tumor progression and be associated with a poor prognosis in multiple cancers including bladder cancer. Polymorphisms of HOTAIR were recently linked to a predisposition for diverse malignancies. Herein we conducted a case-control study to evaluate whether genetic polymorphisms of HOTAIR were associated with UCC risk and clinicopathologic characteristics. Four loci (rs920778 T>C, rs1899663 G>T, rs4759314 A>G, and rs12427129, C>T) of HOTAIR were genotyped by a TaqMan allelic discrimination method in 431 cases and 862 controls. We found that female patients who carried AG + GG genotype of rs4759314 were associated with an increased UCC risk after controlling for age and tobacco consumption (adjusted odds ratio (AOR) = 1.92, 95% confidence interval (CI): 1.01–3.64, p = 0.047) and a lower overall survival rate (p = 0.008). Moreover, patients with a smoking habit or younger age (≤65 years), who had at least one T allele of HOTAIR rs12427129 were at a higher risk of developing advance tumor T satge (p = 0.046), compared to those patients with CC homozygotes. In contrast, rs920778 C allele carriers were negatively correlated with the development of lymph node metastasis (OR = 0.51, 95% CI: 0.28–0.94, p = 0.031). Further analyses of clinical datasets revealed correlations of the expression of HOTAIR with tumor metastasis and a poor survival rate in patients with UCC. Our results verified the diverse impacts of HOTAIR variants on UCC susceptibility and clinicopathologic characteristics.

Association between genetic polymorphisms in long non-coding RNAs and pancreatic cancer risk

BACKGROUND

Long non-coding RNAs (lncRNAs) are emerging as candidate biomarkers of cancer, having regulatory functions in both oncogenic and tumor-suppressive pathways. Concerning pancreatic cancer (PC), deregulation of lncRNAs involved in tumor initiation, invasion, and metastasis seem to play a key role. However, data is scarce about regulatory mechanism of lncRNA expression.

OBJECTIVE

The aim of our study was to investigate the contribution of two lncRNAs polymorphisms (rs1561927 and rs4759313 of PVT1 and HOTAIR, respectively) in PC susceptibility.

METHODS

A case-control study was conducted analysing rs1561927 and rs4759313 polymorphisms using DNA collected in a population-based case-control study of pancreatic cancer (111 pancreatic ductal adenocarcinoma cases (PDAC), 56 pancreatic neuroendocrine tumor (PNET), and 125 healthy controls).

RESULTS

Regarding the PVT1 rs1561927 polymorphism the G allele was significantly overrepresented in both PDAC and PNET patients compared to the controls, while the presence of the HOTAIR rs4759314 G allele was found to be overrepresented in the PNET patients only compared to the controls. The PVT1 rs1561927 AG/GG genotypes were associated with poor overall survival in PDAC patients.

CONCLUSIONS

Our results suggested that polymorphisms of these two lncRNA polymorphisms implicated in pancreatic carcinogenesis. Further large-scale and functional studies are needed to confirm our results.

HOTAIR gene polymorphisms contribute to increased neuroblastoma susceptibility in Chinese children

BACKGROUND

Neuroblastoma is the most frequently diagnosed extracranial solid tumor in children. Previous studies have shown that single-nucleotide polymorphisms in some genes are associated with the risk of multiple cancers, including neuroblastoma. Although Hox transcript antisense intergenic RNA (HOTAIR) gene polymorphisms have been investigated in a variety of cancers, to the authors' knowledge the relationships between HOTAIR gene polymorphisms and neuroblastoma susceptibility have not been reported to date. The objective of the current study was to evaluate the correlation between HOTAIR gene polymorphisms and neuroblastoma risk in Chinese children.

METHODS

The authors genotyped 6 polymorphisms (rs920778 A>G, rs12826786 C>T, rs4759314 A>G, rs7958904 G>C, rs874945 C>T, and rs1899663 C>A) of the HOTAIR gene in 2 Chinese populations including 393 neuroblastoma cases and 812 healthy controls. The strength of the associations was evaluated using odds ratios and 95% confidence intervals. Further stratification analyses were conducted to explore the association between the HOTAIR gene polymorphisms rs12826786 C>T, rs874945 C>T, and rs1899663 C>A with neuroblastoma susceptibility in terms of age, sex, clinical stage of disease, and sites of origin.

RESULTS

The authors found that the rs12826786 C>T (P =.013), rs874945 C>T (P =.020), and rs1899663 C>A (P =.029) polymorphisms were significantly associated with increased neuroblastoma risk. In stratification analyses, these associations were more predominant in females and among patients with tumor in the retroperitoneal region or mediastinum. The remaining 3 polymorphisms were not found to be related to neuroblastoma susceptibility.

CONCLUSIONS

The results of the current study verified that HOTAIR gene polymorphisms are associated with increased neuroblastoma risk and suggest that HOTAIR gene polymorphisms might be a potential biomarker for neuroblastoma susceptibility. Cancer 2018;124:2599-606. © 2018 American Cancer Society.