Association of the study between LncRNA-H19 gene polymorphisms with the risk of breast cancer

The expression of the lncRNAs USP30-AS1, ELFN1-AS1, GAS8-AS1, and SNHG11 in breast cancer samples from Iranian patients from 2014 to 2019: a cross-sectional study

OBJECTIVE

Breast cancer is a widely prevalent and life-threatening malignancy that affects women worldwide. The identification of novel molecular markers associated with tumor progression is highly important for enhancing early detection, tailoring treatment approaches, and monitoring therapeutic outcomes. In this study, we investigated the expression patterns of four long noncoding RNAs (lncRNAs): USP30 antisense RNA1 (USP30-AS1), ELFN1 antisense RNA1 (ELFN1-AS1), GAS8 antisense RNA1 (GAS8-AS1), and small nucleolar RNA host gene 11 (SNHG11).

RESULTS

In breast cancer specimens, USP30-AS1 and GAS8-AS1 expression was decreased, whereas ELFN1-AS1 and SNHG11 expression was increased in breast cancer tissues compared with adjacent noncancer tissues. Decreased USP30-AS1 levels were associated with a smaller tumor size, lower tumor grade and stage, and the absence of lymphatic and vascular invasion. Lower GAS8-AS1 expression was associated with a lower tumor grade and positive estrogen and progestin receptor status. Elevated ELFN1-AS1 expression was associated with breast cancer that lacked P53 mutation. These changes suggest their promise as biomarkers for distinguishing between cancerous and noncancerous tissues.

Usefulness of machine learning and deep learning approaches in screening and early detection of breast cancer

Breast cancer (BC) is one of the most common types of cancer in women, and its prevalence is on the rise. The diagnosis of this disease in the first steps can be highly challenging. Hence, early and rapid diagnosis of this disease in its early stages increases the likelihood of a patient's recovery and survival. This study presents a systematic and detailed analysis of the various ML approaches and mechanisms employed during the BC diagnosis process. Further, this study provides a comprehensive and accurate overview of techniques, approaches, challenges, solutions, and important concepts related to this process in order to provide healthcare professionals and technologists with a deeper understanding of new screening and diagnostic tools and approaches, as well as identify new challenges and popular approaches in this field. Therefore, this study has attempted to provide a comprehensive taxonomy of applying ML techniques to BC diagnosis, focusing on the data obtained from the clinical methods diagnosis. The taxonomy presented in this study has two major components. Clinical diagnostic methods such as MRI, mammography, and hybrid methods are presented in the first part of the taxonomy. The second part involves implementing machine learning approaches such as neural networks (NN), deep learning (DL), and hybrid on the dataset in the first part. Then, the taxonomy will be analyzed based on implementing ML approaches in clinical diagnosis methods. The findings of the study demonstrated that the approaches based on NN and DL are the most accurate and widely used models for BC diagnosis compared to other diagnostic techniques, and accuracy (ACC), sensitivity (SEN), and specificity (SPE) are the most commonly used performance evaluation criteria. Additionally, factors such as the advantages and disadvantages of using machine learning techniques, as well as the objectives of each research, separately for ML technology and BC detection, as well as evaluation criteria, are discussed in this study. Lastly, this study provides an overview of open and unresolved issues related to using ML for BC diagnosis, along with a proposal to resolve each issue to assist researchers and healthcare professionals.

Six polymorphisms in the lncRNA H19 gene and the risk of cancer: a systematic review and meta-analysis

BACKGROUND

Numerous studies have demonstrated long noncoding RNA (lncRNA) play an important role in the occurrence and progression of cancer, and single nucleotide polymorphisms (SNPs) located in lncRNA are considered to affect cancer suspensibility. Herein, a meta-analysis was carried out to better assess the relationship of H19 polymorphisms and cancer susceptibility.

METHODS

A literature search was conducted through using PubMed, EMBASE, and Web of Science databases to obtain relevant publications before Aug 23, 2022. The reference lists of the retrieved studies were also investigated to identify additional relevant articles. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to appraise the risk of various cancers.

RESULTS

There appeared to be a remarkable correlation between the rs2107425 variation and decreased cancer risk among Caucasians. Nevertheless, the rs217727 polymorphism was significantly associated with an increased risk of lung cancer, hepatocellular carcinoma and oral squamous cell carcinoma. Also, we found a significant correlation between the rs2839698 polymorphism and increased cancer risk among Asians, gastric cancer, hepatocellular carcinoma, hospital-based control and larger simple size subgroups, respectively. Similarly, the rs3741219 mutation was notably related to cancer risk in higher quality score. As for rs3024270 polymorphism, the homozygous model was markedly linked to cancer risk in overall analysis and population-based controls. There was no significant association between the rs3741216 polymorphism and cancer risk.

CONCLUSION

H19 rs2839698 and rs3024270 were closely associated with overall cancer risk. H19 rs2107425 was related to lower cancer risk among Caucasians, while the rs2839698 was related to increased cancer risk among Asians. Our results supported that H19 SNPs were significantly correlated with cancer risk.

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 long non-coding RNA H19 polymorphisms and breast cancer risk: a meta-analysis

Common genes mutation was demonstrated associating with the risk of breast cancer (BC) recently, while the role of long non-coding RNA (lncRNA) polymorphism is still controversial. A meta-analysis was designed to discuss the association between lncRNA H19 polymorphisms and susceptibility to BC. The related databases were systematically reviewed up to April 13, 2021. Estimates were summarized as ORs and 95 percent CIs for each included study. The heterogeneity was assessed by the I² test and subgroup analysis. Ten studies with 10354 BC patients and 11,177 control cases were included in our study. LncRNA H19 single nucleotide polymorphism (SNP) rs2839698 C/T significantly increases the susceptibility of BC (OR = 1.717 , 95 percent CI = 1.052-2.803, P = 0.031). LncRNA H19 polymorphism rs3741219 and rs217727 also increase the risk of ER-positive BC (OR = 1.128 , 95 percent CI = 1.010-1.259, P = 0.0032 for rs3741219, and OR = 1.297, 95 percent CI = 1.027-1.639, P = 0.029 for rs217727). Our results demonstrated that lncRNA H19 SNP rs2839698 C/T was significantly associated with the susceptibility of BC. LncRNA H19 SNP rs217727 and rs3741219 were associated with the risks of ER-positive BC. However, further studies are needed to reach a robust conclusion.

Expression and diagnostic values of MIAT, H19, and NRON long non-coding RNAs in multiple sclerosis patients

Background

Multiple sclerosis (MS) is a chronic inflammatory disease. Various long non-coding RNAs (lncRNAs) appear to have an important role in the pathophysiology of MS. This study aimed at evaluating the expression levels of lncRNAs, MIAT, H19, and NRON in peripheral blood of MS cases to a healthy control group. We collected blood samples of 95 MS cases (76 relapsing–remitting (RR) and 19 secondary progressive (SP) MS) and 95 controls. We used quantitative real-time PCR for the evaluation of gene expression. The correlation between expression with clinical parameters was analyzed by a multiple linear regression model. Receiver operating characteristic (ROC) curve analysis was carried out to detect the diagnostic potential of lncRNAs levels according to the area under the curve (AUC).

Results

MIAT, H19, and NRON were significantly increased in the RRMS and SPMS subgroups compared to the controls. We found that the H19 and MIAT expression significantly were higher in SPMS compared with RRMS. Patients with RRMS had a greater level of the average NRON expression is compared with SPMS patients. The expression level of H19 significantly was higher in females relative to male patients. Based on the area under curve (AUC) values, NRON had the best performance in the differentiation of MS patients from controls (AUC = 0.95, P < 0.0001). A combination of MIAT, H19, and NRON expression levels could be useful in differentiating MS patients with 93.6% sensitivity, 98.9% specificity, and diagnostic power of 0.96 (P < 0.0001).

Conclusions

The levels of MIAT, H19, and NRON in peripheral blood could be important biomarkers for MS diagnosis.

The influence of LncRNA H19 polymorphic variants on susceptibility to cancer: A systematic review and updated meta-analysis of 28 case-control studies

OBJECTIVE

Although myriad researches upon the associations between LncRNA H19 polymorphic variants (rs2839698 G>A, rs217727 G>A, rs2107425 C>T, rs2735971 A>G and rs3024270 C>G) and the susceptibility to cancer have been conducted, these results remained contradictory and perplexing. Basing on that, a systematic review and updated meta-analysis was performed to anticipate a fairly precise assessment about such associations.

METHODS

We retrieved the electronic databases EMBASE, PubMed and Web of Science for valuable academic studies before February 28, 2021. Ultimately, 28 of which were encompassed after screening in this meta-analysis, and the available data was extracted and integrated. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) was used to evaluate such associations. For multi-level investigation, subgroup analysis derived from source of controls together with genotypic method was preformed.

RESULTS

Eventually, 28 articles altogether embodying 57 studies were included in this meta-analysis. The results illuminated that LncRNA H19 polymorphisms mentioned above were all irrelevant to cancer susceptibility. Nevertheless, crucial results were found concentrated in population-based control group when subgroup analysis by source of controls were performed in H19 mutation rs2839698 and rs2735971. Meanwhile, in the stratification analysis by genotypic method, apparent cancer risks were discovered by TaqMan method in H19 mutation rs2107425 and rs3024270. Then, trial sequential analysis demonstrated that the results about such associations were firm evidence of effect.

CONCLUSION

Therefore, this meta-analysis indicated that LncRNA H19 polymorphisms were not associated with the susceptibility to human cancer. However, after the stratification analysis, inconsistent results still existed in different genotypic method and source of control. Thus, more high-quality studies on cancer patients of different factors were needed to confirm these findings.

Long non-coding RNA H19 expression and functional polymorphism rs217727 are linked to increased ischemic stroke risk

Background

Efforts to identify potential biomarkers for the diagnosis of ischemic stroke (IS) are valuable. The H19 gene plays a functional role in increasing the prevalence of IS risk factors. We evaluated the correlation between H19 rs217727 polymorphism and the expression level of H19 lncRNA with susceptibility to IS among the Iranian population.

Methods

Blood samples were collected from IS patients (n = 114) and controls (n = 114). We concentrated on the expression pattern of H19 at different time points (i.e., 0–24, 24–48, and 48–72 h after stroke). The tetra-amplification refractory mutation system-polymerase chain reaction (T-ARMS-PCR) method was applied for DNA genotyping. We used the quantitative real-time PCR to evaluate H19 expression levels. We used the receiver operating characteristic (ROC) curve to evaluate the diagnosis and prognosis of IS.

Results

The rs217727polymorphism of H19 was related with IS susceptibility in the co-dominant (OR = 2.92, 95% CI = 0.91–10.92, P = 0.04) and recessive models (OR = 2.80, 95% CI = 0.96–8.15, P = 0.04). H19 expression was significantly upregulated in IS and remained high for 72 h after stroke. ROC curves showed that H19 expression within the first 24 h from stroke onset might serve as a biomarker for the early diagnosis of IS with 79.49% sensitivity and 80.00% specificity. H19 expression in small vessel occlusion (SVO) and large-artery atherosclerosis (LAA) patients were 3.74 and 3.34 times higher than the undetermined (UD) subtype, respectively [OR = 3.74 95% CL (1.14–12.27) P = 0.030 and OR = 3.34 95% CL (1.13–9.85) P = 0.029].

Conclusion

The rs217727 polymorphism of the H19 is correlated with IS susceptibility, and H19 expression levels were higher in SVO and LAA patients. The upregulation of H19 may be considered as a diagnostic biomarker in IS among the Iranian population, but it cannot serve as a useful prognostic marker.

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.

Associations of lncRNA H19 Polymorphisms at MicroRNA Binding Sites with Glioma Susceptibility and Prognosis

Glioma is the most common tumor of the central nervous system; variation in susceptibility and prognosis worldwide suggests that there are molecular and genetic differences among individuals. The H19 gene plays a dual role in carcinogenesis. In this study, associations between H19 polymorphisms and susceptibility as well as prognosis in glioma were evaluated. In total, 605 patients with glioma and 1,300 cancer-free subjects were enrolled in the study. Individuals with the rs3741219 A>G allele were less likely to develop glioma (relative risk [RR] = 0.54, 95% confidence interval [95% CI] = 0.45-0.63, p < 0.001), whereas rs217727 G>A and rs2839698 G>A genotypes were not associated with glioma risk. The associations between H19 polymorphisms and prognosis were assessed, including overall survival and progression-free survival. Three focused H19 polymorphisms did not show a significant effect on survival. Further analysis based on false-positive report probability validated these significant results. In the haplotype analysis, individuals with the Grs217727Ars2839698Grs3741219 haplotype were less likely to develop glioma (odds ratio [OR] = 0.33, 95% CI = 0.23-0.46, p = 0.02). Overall, carriers of the rs3741219 AG or GG genotype of H19 have a decreased susceptibility to glioma, but polymorphisms in this gene are not related to prognosis.

Quantitative assessment of lncRNA H19 polymorphisms and cancer risk: a meta-analysis based on 48,166 subjects

Recently, numerous studies have been performed to detect the association between H19 polymorphisms and cancer susceptibility. However, their results were inconsistent and controversial. So, we carried out a meta-analysis aiming to define the association exactly. Eligible studies were collected using PubMed and Embase databases up to March 31, 2019. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the strength of association. Sensitivity analysis and publication bias were established to evaluate the robustness of our results. Totally, 60 studies involving 20763 cases and 27403 patients were analysed in our meta-analysis. Our results indicated that H19 rs217727 C > T polymorphism was significantly associated with increased cancer risk. In subgroup analysis, similarly increased risk could be found in gastrointestinal group for rs2839698 and protective effect was observed in rs2107425 polymorphism for cancer development in Caucasian population. Trial sequential analysis strengthened findings of our meta-analysis that cumulative evidence was adequate. In summary, our meta-analysis supported that H19 polymorphisms may be associated with cancer susceptibility.

Function and regulation annotation of up-regulated long non-coding RNA LINC01234 in gastric cancer

Background

Accumulated evidences indicate that long non‐coding RNAs (lncRNAs) participate in many biological mechanisms. Moreover, it acts as an essential regulator in various human diseases such as gastric cancer (GC). Nevertheless, the comprehensive regulatory roles and clinical significance of most lncRNAs in GC are not fully understood.

Methods

In this research, our aim was to investigate the underlying mechanism of lncRNA LINC01234 in GC. Firstly, the usage of qRT‐PCR helped to establish expression pattern of LINC01234 in GC tissues. Following this, appropriate statistical tests were applied to analyze the relation between expression level and clinicopathological factors. Ultimately, potential functions and regulatory network of LINC01234 were concluded via GSEA and a series of bioinformatics tools or databases, respectively.

Results

Consequently, at the end of research we found LINC01234 is up‐regulated in GC tissues in comparison with adjacent normal tissues. Furthermore, its expression level is correlated with differentiation of patients with GC. It is also important to highlight bioinformatics analysis revealed that LINC01234 is involved in cancer‐associated pathways such as cell cycle and mismatch repair. Also, regulatory network of LINC01234 presented a probability in the involvement of tumorigenesis through regulating cancer‐associated genes.

Conclusion

Overall, our results suggested that LINC01234 may play a crucial role in GC.

Long non-coding RNAs as the critical factors during tumor progressions among Iranian population: an overview

BACKGROUND

Cancer is associated with various genetic and environmental risk factors. Beside the mutations or aberrant expression of protein-coding genes, the genetic deregulation of non-coding RNAs has also an important role during tumor progression and metastasis. Long non-coding RNAs (lncRNAs) are a class of ncRNAs larger than 200 nucleotides that may function as tumor-suppressor or oncogene.

MAIN BODY

There is a raising trend of cancer incidence among Iranian population during the last decades. Therefore, it is required to prepare a general population specific panel of genetic markers for the early detection of cancer in this population. The tissue-specific expression characteristics and high stability in body fluids highlight the lncRNAs as efficient diagnostic and prognostic noninvasive biomarkers in cancer. In present review we summarized all of the lncRNAs which have been reported until now in different tumors among Iranian patients.

CONCLUSIONS

This review paves the way of introducing a population based noninvasive diagnostic panel of lncRNAs for the early detection of tumor cells among Iranian population.

The effects of placental long noncoding RNA H19 polymorphisms and promoter methylation on H19 expression in association with preeclampsia susceptibility

The effect of DNA methylation on gene expression triggered it as a susceptibility factor in various diseases including preeclampsia (PE). The pathogenesis of PE is closely associated with the methylation status and genetic variants of relevant genes. Therefore, the aim of the study was to investigate the possible impacts of the placental DNA methylation and rs3741219, rs217727, and rs2107425 polymorphisms of the H19 gene on the PE susceptibility as well as the its mRNA expression. Moreover, eight haplotypes of three loci in the H19 gene were analyzed. In this case-control study, the placentas of 107 preeclamptic and 113 non-preeclamptic women were collected after delivery. The methylation status was assessed by methylation-specific polymerase chain reaction (PCR). The H19 polymorphisms were genotyped using polymerase chain reaction-restriction fragment length polymorphism or amplification refractory mutation system-polymerase chain reaction methods. The quantitative real time PCR was used for mRNA expression assay. The placental H19 rs3741219 and rs2107425 polymorphisms were not associated with PE. However, H19 rs217727CT and TT genotypes might be associated with a 9.2- and 17.7-fold increased risk of PE, respectively. The T_rs3741219 C_rs217727 C_rs2107425 and T_rs3741219 C_rs217727 T_rs2107425 haplotypes were significantly lower, whereas the T_rs3741219 T_rs217727 C_rs2107425 and C_rs3741219 T_rs217727 C_rs2107425 haplotypes were significantly higher in PE women. Promoter but not upstream region hypermethylation of H19 gene could be led to decreased risk of PE (MM vs. UM + UU). No significant difference was observed in the placental mRNA expression between two groups. The H19 expression was significantly higher in women with unmethylated (UU), compared to methylated promoter (MM). The H19 expression was 17- and 15-fold higher in H19-rs2107425 CC and CT genotypes in PE women. In conclusion, the H19 rs2107425 polymorphism was associated with a higher risk of PE and increased H19 mRNA expression. The promoter hypermethylation of H19 gene was associated with a lower risk of PE and decreased H19 mRNA expression.

Association between lncRNA H19 rs217727 polymorphism and the risk of cancer: an updated meta-analysis

Background

We have performed this study to evaluate the association between H19 rs217727 polymorphism and the risk of cancer.

Methods

An odds ratio (OR) with a 95% confidence interval (CI) was applied to determine a potential association.

Results

A total of 17 case–control publications were selected. This meta-analysis showed that H19 rs217727 has a significant increased association with cancer risk in allelic, homozygous, heterozygote, dominant and recessive models (T vs C: OR = 1.16, 95% CI = 1.06–1.27, I² = 75.7; TT vs CC: OR = 1.29, 95% CI = 1.06–1.56, I² = 71.6; CT vs CC: OR = 1.15, 95% CI = 1.01–1.31, I² = 75.4; CT + TT vs CC: OR = 1.20, 95% CI = 1.05–1.36, I² = 76.5; TT vs CT + CC: OR = 1.22, 95% CI = 1.02–1.45, I² = 70.6;). In the subgroup analysis of smoking status, both smokers and nonsmokers showed an increase in cancer risk in allelic, homozygous, dominant and heterozygote models.

Conclusion

This meta-analysis revealed H19 rs217727 may influence cancer susceptibility.

Association between genetic polymorphisms of long noncoding RNA H19 and cancer risk: a meta-analysis

Long noncoding RNA (lncRNA) H19, a well-known oncogenic lncRNA, is overexpressed in various cancers. Several studies have investigated the association between polymorphisms in lncRNA H19 and the risk of various cancer types; however, the findings were inconsistent. In this study, we performed a meta-analysis to identify the precise association between H19 polymorphisms and cancer risk. Appropriate studies were retrieved from searching Web of Science, PubMed, Scopus, and Google scholar databases, updated 25 November 2018. The pooled odds ratios (ORs with 95% confidence intervals (CIs) were calculated to estimate the strength of the association between H19 polymorphisms and cancer risk. Our findings revealed that the H19-rs217727 C>T polymorphism is significantly associated with an increased risk of overall cancer in homozygous codominant (OR=1.28, 95% CI=1.04-1.57, P =0.020, TT vs CC), dominant (OR=1.20, 95% CI=1.04-1.37, P =0.010, CT+TT vs CC), recessive (OR=1.21, 95% CI=1.00-1.46, P =0.048, TT vs CT+CC), and allele (OR=1.16, 95% CI=1.05-1.28, P =0.003, T vs C) genetic models. No significant correlations were observed between H19: rs2839698 G>A, rs2107425 C>T, rs2735971 C>T, rs3024270 G>C, rs3741219 T>C, rs2839701 C>G, rs2735469 C>T, rs17658052 G>A, and rs3741216 T>A polymorphisms and overall cancer risk. Stratified analysis by cancer type proposed that the rs217727 variant is associated with increased risk of oral squamous cell carcinoma (OSCC) and lung cancer, whereas the rs2839698 variant is associated with increased risk of gastrointestinal cancer. Taken together, these findings support an association between H19 rs217727, and rs2839698 polymorphisms and cancer susceptibility. Larger and well-designed studies are necessary to further confirm these findings in detail.

Long Non-Coding RNA in the Pathogenesis of Cancers

The incidence and mortality rate of cancer has been quickly increasing in the past decades. At present, cancer has become the leading cause of death worldwide. Most of the cancers cannot be effectively diagnosed at the early stage. Although there are multiple therapeutic treatments, including surgery, radiotherapy, chemotherapy, and targeted drugs, their effectiveness is still limited. The overall survival rate of malignant cancers is still low. It is necessary to further study the mechanisms for malignant cancers, and explore new biomarkers and targets that are more sensitive and effective for early diagnosis, treatment, and prognosis of cancers than traditional biomarkers and methods. Long non-coding RNAs (lncRNAs) are a class of RNA transcripts with a length greater than 200 nucleotides. Generally, lncRNAs are not capable of encoding proteins or peptides. LncRNAs exert diverse biological functions by regulating gene expressions and functions at transcriptional, translational, and post-translational levels. In the past decade, it has been demonstrated that the dysregulated lncRNA profile is widely involved in the pathogenesis of many diseases, including cancer, metabolic disorders, and cardiovascular diseases. In particular, lncRNAs have been revealed to play an important role in tumor growth and metastasis. Many lncRNAs have been shown to be potential biomarkers and targets for the diagnosis and treatment of cancers. This review aims to briefly discuss the latest findings regarding the roles and mechanisms of some important lncRNAs in the pathogenesis of certain malignant cancers, including lung, breast, liver, and colorectal cancers, as well as hematological malignancies and neuroblastoma.

Effects of Long Noncoding RNA H19 Polymorphisms on Urothelial Cell Carcinoma Development

Urothelial cell carcinoma (UCC) is one of the major malignancies of the genitourinary tract, and it is induced by carcinogenic epidemiological risk factors. H19 is one of the most crucial long noncoding RNAs (lncRNAs) and is involved in various types of bladder cancer. In this study, we examined H19 single-nucleotide polymorphisms (SNPs) to investigate UCC susceptibility and clinicopathological characteristics. Using real-time polymerase chain reaction, we analyzed five SNPs of H19 in 431 UCC patients and 431 controls without cancer. The results showed that patients with UCC carrying the H19 rs217727 CT + TT and rs2107425 CT + TT genetic variants had a high risk of developing muscle invasive tumors (pT2-T4) (p = 0.030; p = 0.025, respectively). With a median follow up of 39 months, CT+TT polymorphisms of rs2107425 were associated with worse disease-specific survival (adjusted hard ratio (AHR) = 2.043, 95% confidence interval (CI) = 1.029-4.059) in UCC patients aged older than 65 years. In conclusion, our results indicate that patients with UCC carrying the H19 rs217727 CT + TT and rs2107425 CT + TT genetic variants have a high risk of developing muscle invasive tumors. Thus, H19 polymorphisms may be applied as a marker or therapeutic target in UCC treatment.

Association of the study between LncRNA-H19 gene polymorphisms with the risk of breast cancer

BACKGROUND

The H19 is a maternally expressed imprinted gene transcribing a long noncoding RNA (lncRNA), which has previously been reported to be involved in tumorigenesis and cancer progression. The aim of this study was to evaluate the associations between two lncRNA-H19 (rs3741219 T>C and rs217727 C>T) gene polymorphisms with the risk of breast cancer (BC).

METHODS

In a case-control investigation, we evaluated 150 BC patients and 100 cancer-free subjects in East Azerbaijan Province of Iran. To assess two gene polymorphisms, the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was used.

RESULTS

The genotype frequencies of two lncRNA-H19 (rs217727 C>T and rs3741219 T>C) gene polymorphisms TT + TC/CC and CC + CT/TT have not shown a statistically significant association with the risk of BC (P = 0.065; OR = 0.967; 95% CI, 0.938-0.996) and (P = 0.510; OR = 1.583; 95% CI, 0.399-6.726), respectively. In addition, our findings revealed a significant differences in allele frequencies in lncRNA-H19 rs217727 C>T polymorphism between groups (P = 0.033; OR = 1.985; 95% CI, 1.048-3.761).

CONCLUSION

Our findings suggested that rs217727 C>T polymorphism may be involved in the pathogenesis of BC, whereas rs3741219 T>C variation may not be involved in the genetic background of BC in Iranian.