Association of Polymorphisms in Cytokine genes with susceptibility to Precancerous Lesions and Cervical Cancer: A systematic review with meta-analysis

Moura, Edilson Leite de; Silva, Denise Macedo da; Santos, Bruna Brandão dos; Figueredo, Diego de Siqueira; Moura, Alexandre Wendell Araujo; Silva, Adriely Ferreira da; Tanabe, Ithallo Sathio Bessoni; Tanabe, Eloiza Lopes de Lira; Neto, Abel Barbosa Lira; Silva, Aline Cristine Pereira e; Fraga, Carlos Alberto de Carvalho; Filho, José Luiz de Lima; Farias, Karol Fireman de; Souza, Elaine V.M.

doi:10.1080/08820139.2020.1778023

Cited by 12 publications

(7 citation statements)

References 92 publications

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“…The upregulation of FUCA1 in SiHa is shown in Kalliopi's study (47). The IL-12A gene was related to enhanced risk of cervical cancer (48). VEGFA was validated an unfavorable molecules in HPV cervical squamous cell carcinoma (49).…”

Section: Discussionmentioning

confidence: 89%

Identification and validation of a novel necroptosis-related prognostic signature in cervical squamous cell carcinoma and endocervical adenocarcinoma

Zhang

Cao²,

Tong³

et al. 2022

Front. Oncol.

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Background: The purpose of this study was to investigate the prognostic signature of necroptosis-related lncRNAs (NRLs) and explore their association with immune-related functions and sensitivity of the therapeutic drug in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC).Methods: UCSC Xena provided lncRNA sequencing and clinical data about CESC, and a necroptosis gene list was obtained from the KEGG database. NRLs were selected by structuring a co-expression network of lncRNAs and necroptosis-related genes. To further screen lncRNAs, we used the univariate Cox regression method, Lasso regression, and multivariate Cox regression. Afterward, an NRL signature was established. We used the xCell algorithm and single-sample gene set enrichment analysis (ssGSEA) to clarify the pertinence between immune infiltration and NRL expressions in CESC patients and explored the relationship between the target lncRNAs and immune-related genes. By leveraging the GDSC database, the therapysensitive response of the prognostic signature was forecasted and an experimental validation was performed. We performed GSEA with the aim of recognizing the potential pathway related to the individual prognostic signature. Results:The two prognostic NRLs (AC009095.1 and AC005332.4) showed significant diversity and constituted the NRL signature. On the grounds of our signature, risk score was an independent element which was bound up with patient outcome (HR = 4.97 CI: 1.87-13.2, P = 0.001). The CESC patients were classified by the median risk score. Immune infiltration analysis revealed significant increases in CD4 + Tcm, eosinophils, epithelial cells, fibroblasts, Frontiers in Oncology frontiersin.org 01

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Section: Discussionmentioning

confidence: 89%

Identification and validation of a novel necroptosis-related prognostic signature in cervical squamous cell carcinoma and endocervical adenocarcinoma

Zhang

Cao²,

Tong³

et al. 2022

Front. Oncol.

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“…They reported that the IL-6 -174G>C polymorphism was a low-penetrance susceptibility variant for cervical cancer. However, de Moura et al, (2020) in a meta-analysis on 7 cytokine genes showed that 10 SNPs in cytokine genes including IL-6 (rs1800795) were associated with increased risk for cervical cancer. in other metaanalysis showed that Pooled ORs revealed that the IL-6 rs1800795 polymorphism was significantly associated with an increased risk of cervical cancer, especially in Asian women.…”

Section: Discussionmentioning

confidence: 99%

Association of IL-6 -174G>C and -572G>C Polymorphisms with Susceptibility to Cervical Cancer and Ovarian Cancer

Hashemzehi

Karimi-Zarchi

Parsaeian

et al. 2021

Asian Pac J Cancer Prev

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Background: During the past decades, the expansion of molecular development has had a key role in understanding the basis of gynecological cancer. Interleukin-6 (IL-6) is known to be involved in the pathogenesis of different cancers. Here, we evaluated the association of IL-6 -174G>C and -572 G>C polymorphisms with susceptibility to cervical and ovarian cancers in an Iranian population. Methods: A total of 131 cases with ovarian cancer, 124 cases with cervical cancer and 140 healthy subjects were enrolled to the study. DNA was extracted from peripheral blood cells of subjects to genotype the IL-6 -174G>C and -572 G>C polymorphisms by amplification refractory mutation system (RFLP) polymerase chain reaction (PCR). Results: There was a significant association of IL-6 -174G>C CC genotype (OR= 3.231, 95% CI: 1.130-9.239, p=0.029) and C allele (OR = 1.915; 95%CI: 1.266-2.896, p=0.002) with an increased risk of ovarian cancer. Moreover, the IL-6 -174G>C CC genotype (OR= 3.162, 95% CI: 1.094-9.141, p=0.034) and C allele (OR = 1.724; 95%CI: 1.129-2.633, p=0.012) was associated with increased risk of cervical cancer. Conclusions: This study showed that the IL-6 -174G>C polymorphism was associated with ovarian cancer and cervical cancer risk. However, IL-6 -572 G>C polymorphism was not associated.

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“…To assess the association of pre-existing comorbidities with the severity and mortality of COVID-19, we performed a systematic review with a quantitative approach (meta-analysis), in which analyze the pooled data of the articles included (de Moura et al, 2020;Pereira et al, 2018). The review followed recommendations from Preferred Reporting Items for Systematic Reviews and Meta-analysis (Prisma) (Moher et al, 2009).…”

Section: Search Strategymentioning

confidence: 99%

Comorbidities increase the risk of severity and mortality in COVID-19 patients: a systematic review and meta-analysis

Moura

Ferreira

Santos

et al. 2021

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Introduction: Several studies have shown that patients with comorbidities present a poor clinical outcome of COVID-19, but the conclusions are not yet consolidated. We conducted a meta-analysis to evaluate the relationship between the preexistent conditions (comorbidities) in patients infected with SARS-CoV-2 and the outcome of COVID-19. Methods: PubMed, Science Direct, ISI Web of Science and Scopus databases were examined up to November 2020. We calculated the pooled odds ratio (OR) with 95% confidence interval, using fixed-effects or random-effects models. Results: A total of 48 retrospective cohort studies with 344,290 COVID-19 patients were included in the meta-analysis. The pooled results showed that hypertension, diabetes, cardiovascular, chronic pulmonary, chronic kidney and cerebrovascular diseases increase the risk of severity and mortality in COVID-19 patients. Moreover, malignancy was associated with an increased risk of death from COVID-19. Conclusions: The comorbidities previously mentioned may be important predictors of poor outcome of COVID-19, contributing to the prognosis of severe cases of the disease.

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Association of Polymorphisms in Cytokine genes with susceptibility to Precancerous Lesions and Cervical Cancer: A systematic review with meta-analysis

Cited by 12 publications

References 92 publications

Identification and validation of a novel necroptosis-related prognostic signature in cervical squamous cell carcinoma and endocervical adenocarcinoma

Identification and validation of a novel necroptosis-related prognostic signature in cervical squamous cell carcinoma and endocervical adenocarcinoma

Association of IL-6 -174G>C and -572G>C Polymorphisms with Susceptibility to Cervical Cancer and Ovarian Cancer

Comorbidities increase the risk of severity and mortality in COVID-19 patients: a systematic review and meta-analysis

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