Identification of a glycolysis-related gene signature for survival prediction of ovarian cancer patients.

Background: Ovarian cancer (OV) is deemed the most lethal gynecological cancer in women. The aim of this study was to construct an effective gene prognostic model for predicting overall survival (OS) in patients with OV.

Methods: The expression profiles of glycolysis-related genes (GRGs) and clinical data of patients with OV were extracted from The Cancer Genome Atlas (TCGA) database.

Identification of a Novel Glycolysis-Related Gene Signature for Predicting Breast Cancer Survival.

To identify a glycolysis-related gene signature for the evaluation of prognosis in patients with breast cancer, we analyzed the data of a training set from TCGA database and four validation cohorts from the GEO and ICGC databases which included 1,632 patients with breast cancer. We conducted GSEA, univariate Cox regression, LASSO, and multiple Cox regression analysis. Finally, an 11gene signature related to glycolysis for predicting survival in patients with breast cancer was developed.

Prediction of Overall Survival Among Female Patients With Breast Cancer Using a Prognostic Signature Based on 8 DNA Repair-Related Genes.

Importance: Breast cancer (BC), a common malignant tumor, ranks first among cancers in terms of morbidity and mortality among female patients. Currently, identifying effective prognostic models has a significant association with the prediction of the overall survival of patients with BC and guidance of clinicians in early diagnosis and treatment.

Objectives: To identify a potential DNA repair-related prognostic signature through a comprehensive evaluation and to further improve the accuracy of prediction of the overall survival of patients with BC.

Association of vitamin C intake with breast cancer risk and mortality: a meta-analysis of observational studies.

The association between vitamin C intake and breast cancer is unclear. This meta-analysis aimed to precisely assess the association of vitamin C intake with breast cancer risk and mortality. We searched the PubMed, Embase, and Web of Science databases up to June 2020 and found 69 studies relevant to breast cancer risk (54 studies) and survival (15 studies).

Meta-analysis of the association between nut consumption and the risks of cancer incidence and cancer-specific mortality.

Previous studies have indicated a correlation between nut intake and cancer risk in humans. This meta-analysis aimed to determine the relationship between nut consumption and the risks of cancer incidence and mortality. The PubMed, Embase, and Web of Science databases were searched up to August 2019.

Cystatin C as a predictor for outcomes in patients with negligible renal function.

Background: High serum cystatin C (CysC) has been associated with clinical risks independently of the glomerular filtration rate (GFR). This study aims to investigate the predictive power of CysC in patients with a negligible GFR.

Methods: Patients on chronic hemodialysis or peritoneal dialysis were enrolled for measurement of CysC levels and were followed up for one year.