Secondhand smoke exposure, diabetes, and high BMI are risk factors for uterine cervical cancer: a cross-sectional study from the Korea national health and nutrition examination survey (2010–2018)

Kim, Ji Young; Lee, Dae Woo; Kim, Min Jeong; Shin, Joon Han; Shin, Yeun Joo; Lee, Hae Nam

doi:10.1186/s12885-021-08580-3

Cited by 13 publications

(8 citation statements)

References 32 publications

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“…BMI is one of the criteria used to measure nutritional status. High BMI is often considered a risk factor for cancer and is associated with cancer progression ( 15 – 17 ). However, recent studies have suggested that higher BMI is associated with better outcomes in patients receiving immunotherapy for metastatic melanoma and non-small cell lung cancer ( 18 , 19 ).…”

Section: Discussion/conclusionmentioning

confidence: 99%

Body mass index, as a novel predictor of hepatocellular carcinoma patients treated with Anti-PD-1 immunotherapy

Chen

et al. 2022

Front. Med.

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Immunocheckpoint inhibitors have shown significant efficacy in the treatment of hepatocellular carcinoma (HCC), but there are individual differences. The aim of this study was to explore body mass index (BMI) as a predictor of anti-PD-1 efficacy in patients with HCC. We retrospectively analyzed 101 HCC patients who treated with anti-PD-1 at Sun Yat-sen University Cancer Center from July 2018 to November 2019 and divided them into overweight (BMI > 24.9) and non-overweight (BMI ≤ 24.9) groups based on baseline BMI levels. BMI > 24.9 accounted for 22 cases (21.8%) and BMI ≤ 24.9 accounted for 79 cases (78.2%) in the study cohort. Overweight patients had higher disease control rates than non-overweight patients (P = 0.019, respectively). The mean progression-free survival (PFS) in overweight patients (10.23 months) was significantly longer than that of non-overweight patients (6.85 months; P = 0.027). Among patients with immune-related adverse events (irAEs), the mean PFS was also significantly longer in overweight patients (7.72 months) than in non-overweight patients (5.31 months, P = 0.034). Multivariate analysis showed that BMI was an independent prognostic factor for PFS in HCC patients treated with anti-PD-1 (hazard ratio: 0.47, P = 0.044). Thus, higher BMI predicts a better prognosis among HCC patients treated with anti-PD-1. In clinical practice, patients' BMI can provide a useful tool for predicting the efficacy of anti-PD-1 therapy.

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Section: Discussion/conclusionmentioning

confidence: 99%

Body mass index, as a novel predictor of hepatocellular carcinoma patients treated with Anti-PD-1 immunotherapy

Chen

et al. 2022

Front. Med.

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“…These microarray spectra not only provide a new method for studying various disease-related genes but also provide a good prospect for molecular prediction, drug-based molecular targeting, and molecular therapy [ 8 , 9 ]. With the wide application of gene expression chip technology, a large number of data are published on the public database platform [ 10 ]. Using these databases can further study the molecular mechanisms related to diseases [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

A Research Study to Measure the Efficacy of Terminating Cervical Cancer via Customized Optimum Pathway

Zhang

et al. 2022

Journal of Healthcare Engineering

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Background. To develop a precise prognostic model of overall survival in patients with terminating cervical cancer based on surveillance, epidemiology, and end results (SEER) program. Methods. The patients were retrieved from SEER data who are diagnosed with terminating cervical cancer from 2004 to 2016. The data were performed using univariate and multivariate analyses and constructed nomograms for predicting survival. Use C-index to validate the model accuracy. Results. Totally 15839 patients diagnosed with cervical cancer were independently allocated into the training set (n = 11088) and validation set (n = 4751). The multivariate analysis results indicated that age, race, stage_T, stage_M, and stage_N were confirmed as independent risk predictors, and those factors are applied to construct this clinical model. The C-index of overall survival in the training set was 0.6816 (95% confidence intervene (CI), 0.694–0.763) and that in the validation set was 0.6931(95% CI, 0.613–0.779). All calibration curves of various factors were consistent with predicted and actual survival. Conclusion. The nomogram provides a novel method for predicting the survival of patients with terminating cervical cancer, assisting in accurate therapeutic methods for patients with primary terminating cervical cancer.

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“…It is suggested in some published literature that increased pregnancies and BMI could raise the risk for CC ( Lima et al, 2006 ; Clark et al, 2016 ; Kim et al, 2021 ; Pasdar et al, 2021 ). Although no significant difference was found in pregnancy and BMI as independent risk factor in our above-mentioned analysis, their survival analyses were performed along with the clinical stage.…”

Section: Resultsmentioning

confidence: 99%

A novel lipid metabolism-related lncRNA signature predictive of clinical prognosis in cervical cancer

Fang

et al. 2022

Front. Genet.

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Background: Cervical cancer (CC) is a serious threat to women populations worldwide. Lipid metabolism is believed to have modulating functions in cancer. Long non-coding RNAs (lncRNAs) are potential biomarkers for the different tumor prognosis. Our work aims at investigating the prognostic value of lipid metabolism-related lncRNAs in CC.Methods: LncRNA expression profiling was conducted in 291 patients from The Cancer Genome Atlas (TCGA). Patient samples were randomly assigned to the training or testing set in a 3:2 ratio. A novel lipid metabolism-related five-lncRNA signature with prognostic value for CC was built through the univariate Cox regression, least absolute contraction and selection operator (LASSO) regression and multivariate Cox regression analyses, and was further evaluated by the Kaplan-Meier methods. Relevant analyses were also applied to identify the independent clinicopathological factors. GO and KEGG analyses were conducted to investigate the biological functions and molecular pathways. Immune infiltration analysis was included to probe the relationship between lncRNA signature and cancer cell microenvironment.Results: The novel lipid metabolism-related five-lncRNA signature was confirmed to be predictive of overall survival (OS) in CC patients. Risk score, cancer stage, pregnancy, and BMI were validated as independent factors with prognostic value. GO and KEGG indicated that lipid metabolism participated in several tumor associated functions and pathways. Moreover, our results suggested that the five-lncRNA expression has potential link with tumor immune microenvironment.Conclusion: In conclusion, we built an innovative prognostic risk signature based upon lipid metabolism-related lncRNAs. The five-lncRNA signature may be beneficial to provide novel potential therapeutic targets and improve personalized treatment strategies for CC patients in future clinical treatments.

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Secondhand smoke exposure, diabetes, and high BMI are risk factors for uterine cervical cancer: a cross-sectional study from the Korea national health and nutrition examination survey (2010–2018)

Cited by 13 publications

References 32 publications

Body mass index, as a novel predictor of hepatocellular carcinoma patients treated with Anti-PD-1 immunotherapy

Body mass index, as a novel predictor of hepatocellular carcinoma patients treated with Anti-PD-1 immunotherapy

A Research Study to Measure the Efficacy of Terminating Cervical Cancer via Customized Optimum Pathway

A novel lipid metabolism-related lncRNA signature predictive of clinical prognosis in cervical cancer

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