Quantitative Assessment of the Effects of IL-1ß -511 C>T Variant on Breast Cancer Risk: An Updated Meta-Analysis of 3331 Cases and 3609 Controls

Association of IL-1β gene polymorphisms rs1143627, rs1799916, and rs16944 with altered risk of triple-negative breast cancer

PURPOSE

Breast cancer (BC) is the most recognized malignancy in females globally and is heterogeneous in its clinical manifestation, among which the triple-negative (TNBC) subtype is the most aggressive. This study examines the associations between IL-1β polymorphisms and BC and TNBC susceptibility.

METHODS

Genotyping ofIL-1βrs1143627, rs1799916, and rs16944 polymorphisms was done in 488 women with BC (130 TNBC, 358 non-TNBC) and 476 cancer-free control women using real-time PCR genotyping.

RESULTS

The minor allele and genotype frequencies of rs1799916, rs1143627, and rs16944 significantly differed among BC cases and controls and remained after correcting key covariates. On the other hand, minor allele and genotype frequencies of only rs16944 significantly differed between TNBC and non-TNBC cases. Spearman correlation analyses demonstrated that all three variants correlated positively with menopausal status and Her2 status but negatively with menarche, breastfeeding, and cancer type. In addition, rs1143627 and rs16944 correlated positively with HR and ER, while rs1799916 correlated positively with Ki67 status. The three variants correlated negatively with menarche, breastfeeding, and cancer type in non-TNBC cases but positively with histological grading in non-TNBC and Her2 in TNBC cases. A positive correlation was noted between rs1143627 and rs1799916 and age (<40 years) and between rs1799916 and rs16944 with menopausal status. We confirmed that GCG haplotype imparted BC susceptibility, while TCA and TTG haplotypes were protective of BC. Among TNBC cases, only GCG and TCA haplotypes remained protective of TNBC after adjustment.

CONCLUSIONS

Our study highlights the association between IL-1βgenetic polymorphisms and BC and TNBC susceptibility, suggesting these variants' diagnostic/prognostic capacity in BC patients.

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.

Assessment of the association of CYP1A1 gene polymorphisms with the susceptibility of cervical cancer: A case-control study and meta-analysis

Background

Cervical cancer (CC) is the second most common type of female malignancy in Bangladesh. Polymorphisms in the CYP1A1 gene have been reported to be associated with CC in different populations. This case-control study with meta-analysis was undertaken to assess the relation of CYP1A1 rs4646903 and rs1048943 polymorphisms with the susceptibility of CC.

Methods

A total of 185 CC patients and 220 controls were recruited, and the PCR-RFLP (Polymerase chain reaction-restriction fragment length polymorphism) technique was applied for genotyping. Again, 42 eligible studies (24 with rs4646903 and 18 with rs1048943) were included for meta-analysis, and RevMan 5.3 and the MetaGenyo web-based tool were used.

Results

The rs4646903 polymorphism was significantly linked with CC in all association models, namely, additive 1, additive 2, dominant, recessive, overdominant, and allele models (OR = 2.41, 4.75, 2.67, 3.61, 2.13, and 2.44 with corresponding 95% CI = 1.55-3.76, 1.81-12.45, 1.75-4.07, 1.39-9.35, 1.38-3.30, and 1.71-3.48, respectively). On the contrary, rs1048943 showed no association (p > 0.05) with CC. Haplotype analysis revealed AT and AC haplotypes significantly decreased (OR = 0.45) and increased (OR = 4.86) CC risk, respectively, and SNPs are in strong linkage disequilibrium (D' = 0.912, r² = 0.448). Again, rs4646903 carriers with a contraception history and >5 years of taking contraceptives showed an enhanced risk of CC (OR = 2.39, OR = 3.05). Besides, rs1048943 carriers aged >40 years (OR = 0.44), conceived first child aged ≤18 years (OR = 3.45), and history of contraceptives (OR = 2.18) were significantly linked with CC. Our meta-analysis found that for CYP1A1 rs4646903 codominant 1 (COD 1), codominant 2 (COD 2), codominant 3 (COD 3), dominant model (DM), recessive model (RM), and allele model (AM) in Caucasians and overdominant model (OD) in the overall population are associated with an elevated risk of CC, whereas rs1048943 is also associated with CC in overall, Caucasians and Asians in some genetic models.

Conclusion

Our case-control study and meta-analysis summarize that CYP1A1 rs4646903 and rs1048943 polymorphisms may be correlated with cervical cancer.

Bioinformatic Analysis Divulged Novel Prognostic Circulating MicroRNAs and Their Potential Target Genes in Breast Cancer

Breast cancer (BC) is both an inherited and environmental-based disease which is the leading cause of death among women. Early detection of BC can prevent invasion and metastasis in patients. Currently, researchers endeavor to find non-invasive biological markers from body fluids. Circulating non-coding RNAs such as microRNAs (miRNAs) can potentially be valuable prognostic and detective biomarkers. To identify novel miRNA-based biomarkers, we utilized bioinformatic tools. To reach this goal, the miRNA expression profiles of GSE31309, GSE 44,281, GSE98181, and GSE118782 were analyzed through a limma package of R. Target gene prediction of differentially expressed miRNAs, called differentially expressed miRNAs (DEMs), between samples of healthy individuals and BC patients was implemented through Multimir package of R. Functional enrichment analysis of predicted target genes through Enrich R (online database) revealed that most of the genes are enriched in the mitochondrial outer membrane for cellular component, intrinsic apoptotic signaling regulations for biological processes, transcription co-receptor activity for molecular functions, and dopaminergic synapse pathway. Furthermore, our survival analysis results revealed that miR-29c and mir-361 have the potential to serve as prognostic biomarkers.