Regulation of single nucleotide polymorphisms (SNP) in micro-RNA (miRNA) on the host cells may be one of the most important factors influencing the occurrence of cervical cancer based on the prevalence of HPV infection and the development of cervical cancer. In order to explore the contribution of miRNA polymorphism to the occurrence and development of cervical cancer, we conducted an analytical study.

Multiomics cancer subtyping is becoming increasingly popular for directing state-of-the-art therapeutics. However, these methods have never been systematically assessed for their ability to capture cancer prognosis for identified subtypes, which is essential to effectively treat patients.

Brain tumors (BT) are among the most prevalent cancers in recent years. Various studies have examined the diagnostic role of microRNAs in different diseases; however, their diagnostic role in BT has not been comprehensively investigated. This meta-analysis was performed to assess microRNAs in the blood of patients with BTs accurately.

Gliomas are stratified by the presence of a hotspot mutation in the enzyme isocitrate dehydrogenase genes (IDH1/2). While mutated IDH (mIDH) correlates with better prognosis, the role of this mutation in antitumor immunity and the response to immunotherapy is not completely understood. Understanding the relationship between the genetic features of these tumors and the tumor immune microenvironment (TIME) may help to develop appropriate therapeutic strategies.

Aims: Previous studies have have reported inconsistent results regarding the association of the XRCC1 polymorphism Arg399Gln with oral leukoplakia (OLK) risk. This study was designed to assess the existing evidence of this association using a meta-analytic approach. Materials and Methods: The literature was searched using multiple databases, including PubMed, EMBASE, and China National Knowledge Infrastructure (CNKI), through October 22, 2020. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to evaluate the strength of any associations. Results: A total of 671 Indian cases and 1009 Indian controls from seven case-control studies were included in the meta-analysis. The overall analysis revealed that the AA genotype was associated with a significantly increased OLK risk compared with the GG+GA genotypes (OR = 1.51, 95% CI = 1.10-2.06). In the subgroup analysis stratified by tobacco use, a significant association was found in the mixed group (OR = 1.51, 95% CI = 1.12-2.56), but not in the tobacco-using group or the no tobacco use group. In the OLK subtype subgroup analysis, a significantly increased risk was found in the hyperplastic subgroup (OR = 5.01, 95% CI = 1.39-18.11), whereas no associations were found in the dysplastic or mixed subgroups. Conclusions: The results of this meta-analysis suggest that the XRCC1 Arg399Gln polymorphism may significantly contribute to susceptibility to OLK in the Indian population.

Background: The small nucleolar RNA host gene 7 (SNHG7) has been suggested as a biomarker of metastatic cancer; however, its reliability is controversial. Therefore, the goal of this study was to conduct a meta-analysis to assess the reliability of SNHG7 as a comprehensive cancer metastasis diagnostic biomarker. Methods: A comprehensive literature search was conducted using PubMed, Cochrane Library, Web of Science, Embase, and China National Knowledge Infrastructure (CNKI) to identify articles which examined the role of SNHG7 in cancers. Random-effects models and fixed-effects models were conducted to estimate the pooled odds ratios (ORs) for the associations of SNHG7 with distant metastases and lymph node metastases. Hierarchical summary receiver operating characteristic (ROC) models were used to estimate the sensitivity and specificity of SNHG7 as a biomarker for cancer metastasis diagnoses. Results: Nineteen studies comprised 1491 patients were included in this meta-analysis. We found that both distant metastasis (OR = 4.19, 95% confidence interval [CI] = 2.93-5.99, I2 = 34%) and lymph node metastasis (OR = 3.07, 95% CI = 1.65-5.68, I2 = 79.03%) were significantly associated with a higher expression of SNHG7. We also showed a pooled sensitivity and specificity of 74% (95% CI = 66-82) and 57% (95% CI = 53-61) for distant metastasis; as well as 72% (95% CI = 63-80) and 54% (95% CI = 46-63) for lymph node metastasis, respectively. Conclusion: Our findings suggest that SNHG7 is a potential diagnostic biomarker for metastasis of cancer; however, its clinical application requires stronger evidence due to the low sensitivity and specificity. Further larger-scale studies from diverse settings and cancer types will be necessary to reveal novel insights into SNHG7 as a biomarker for cancer metastasis diagnoses.

We conducted a meta-analysis to determine if MTHFR polymorphisms are effective biomarkers for non-small cell lung cancer (NSCLC) patient survival and pemetrexed (PEM) treatment toxicity. Because of data heterogeneity, fixed or random effects models were chosen, and pooled HRs and 95% confidence intervals (CIs) were calculated. No correlation between MTHFR 677 C > T polymorphism and progression-free survival (PFS) or overall survival (OS) was detected in NSCLC patients; however, patients with the T allele benefited more than those with the wild-type allele. Two papers reported hematologic toxicity of single-agent PEM treatment in patients with the MTHFR 677 C > T polymorphism. However, data on MTHFR polymorphisms and toxicity could not be combined, even though publication bias and sensitivity analysis results were stable and reliable. We conclude that the MTHFR 677 C > T polymorphism could not predict PEM efficacy in NSCLC patients; however, the T allele may increase the risk of haematological toxicity. A large-scale clinical trial is recommended.

This meta-analysis examined the prognostic role of brain and acute leukemia, cytoplasmic (BAALC), Ecotropic virus integration site-1 (EVI1) and Wilms' tumor 1 (WT1) genes at different time-points during conventional chemotherapy.

In recent years, several case-control studies have explored the association between the rs7763881 locus polymorphism of the HULC gene and cancer risk, however, the findings have been inconsistent. Therefore, a meta-analysis was conducted to clarify the association. Relevant case-control studies were obtained from CNKI, Embase, Web of Science and PubMed databases. RevMan software was used to perform data analysis. A total of 8 case-control studies containing 4036 cases and 5286 controls were included in the current meta-analysis. The overall analysis results showed no significant association between the rs7763881 locus polymorphism and cancer risk. However, stratified analysis based on cancer type showed that the rs7763881 locus polymorphism was associated with the decreased risk of hepatocellular cancer, colorectal cancer and esophageal cancer. In conclusion, the current findings suggest that the rs7763881 polymorphic loci located on the HULC gene may serve as a biomarker for determining an individual's risk of hepatocellular cancer, colorectal cancer and esophageal cancer.

Non-small-cell lung carcinoma (abbreviated as NSCLC) progresses rapidly and lacks appropriate biological markers. Recent studies have shown that long noncoding RNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1) has potential application value for clinically diagnosing lung carcinoma. Thus, this study conducted a systematic review and meta-analysis for assessing if MALAT-1 has a relationship to NSCLC outcome.

The canonical isocitrate dehydrogenase 1 R132 mutation (IDH1 R132) is the most frequent mutation among IDH-mutated gliomas. Non-canonical IDH1 mutations or IDH2 mutations are unusual and their clinical and biological role is still unclear.

The current study found that high Zeste White 10 interactor (ZWINT) expression is related to the poor prognosis of patients with a variety of cancers. This study mainly explored the relationship between the expression level of ZWINT and the prognosis of patients with lung adenocarcinoma (LUAD). Briefly, four English databases and two high-throughput sequencing databases were searched and relevant data for meta-analysis were extracted. Pooled mean difference and 95% confidence interval (CI) were used to assess the relationships between clinical features and the expression of ZWINT. Pooled hazard ratio and 95% CI were also used to assess the relationships between clinical features and the expression level of ZWINT. This meta-analysis was registered in PROSPERO (CRD42021249475). A total of 16 high-quality datasets comprising 2,847 LUAD patients were included in this study. Higher ZWINT expression levels were found in patients younger than 65 years, males, and smokers, and were correlated with advanced TNM stages and poor prognosis. Notably, there was no publication bias in this meta-analysis. Overall, our findings indicate that ZWINT is a potential biomarker for poor prognosis and clinicopathological outcomes of patients with LUAD.

The aim of this meta-analysis was to investigate the rs1799794 and rs1799796 polymorphisms of X-ray repair cross-complementing group 3 (XRCC3) in relation to breast cancer susceptibility.

Analysis of emerging data shows that miRNAs, including miR-155, play important roles in tumorigenesis. Several studies have indicated that miR-155 and MIR155HG polymorphisms may be related to cancer risk, but the association was controversial. Therefore, we conducted this first-reported comprehensive meta-analysis of the association of miR-155 and MIR155HG polymorphisms with cancer risk.

The conclusions on the association between the rs2736100 polymorphisms of telomerase reverse transcriptase (TERT) gene polymorphism and digestive cancers risk are still debated. This meta-analysis was conducted to update the association between the TERT rs2736100 polymorphisms and the risk of digestive cancers.

Observational associations between maternal polycystic ovary syndrome (PCOS) and offspring birth weight (BW) have been inconsistent and the causal relationship is still uncertain.

This systematic review and meta-analysis evaluated the prognostic role of cell-free DNA (cfDNA) in pancreatic ductal adenocarcinoma (PDAC). Eligible studies reported differences in overall (OS) and progression-free survival (PFS) by cfDNA status. The random effect model yielded the pooled hazard ratios (HRs) and 95 % confidence intervals (CI). Detection of circulant-tumor DNA (ctDNA), KRAS mutations and other cfDNA alterations constitute detectable cfDNA biomarkers. Altogether, 38 studies (3,318 patients) were eligible. Progression-free and overall survival were decreased with detectable ctDNA (HR = 1.92, 95 %CI:(1.29,2.86); HR = 2.25, 95 %CI:(1.73,2.92)) and KRAS mutations (HR = 1.88, CI:1.22,2.92,); HR = 1.52, 95 %CI:(1.22,1.90)) respectively, across various stages. In unresectable cases, ctDNA (HR = 2.50, 95 %CI:(1.94,3.23)), but not KRAS mutations (HR = 1.16, 95 %CI:(0.46,2.94)) signaled risk for progression. Detectable cfDNA biomarkers correlated with worse prognosis in resectable cases and if detected during treatment. In conclusion, cfDNA biomarkers indicate accelerated progression and decreased survival in PDAC. Significance of KRAS mutations detection in unresectable cases is to be determined.

mTOR, mLST8 and RAPTOR are the core components of mTORC1, which has been found to be closely related to tumorigenesis. Currently, multiple single nucleotide polymorphisms (SNPs) in mTOR gene (rs2295080, rs17036508 and rs1034528), mLST8 gene (rs3160 and rs26865) and RPTOR gene (rs1062935, rs3751932, rs3751834, rs12602885) have been extensively studied for their associations with cancer risk. However, the results remained inconclusive and conflicting. Therefore, we here performed a meta-analysis of all available studies to investigate the association between these SNPs and cancer risk.

In spite of substantial declines in both incidence and mortality rates in the past 50 years, cervical cancer remains one of the leading causes of cancer associated mortality among women globally. We performed this meta-analysis to explore the role of XRCC3 rs861539, MTHFR rs1801133, IL-6 rs1800795, IL-12B rs3212227, TNF-α rs1800629 and TLR9 rs352140 polymorphism with susceptibility to cervical carcinoma.

The possible regulatory mechanism of MIR31HG in human cancers remains unclear, and reported results of the prognostic significance of MIR31HG expression are inconsistent.