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Machine Learning Methods for Survival Analysis with Clinical and Transcriptomics Data of Breast Cancer
Breast cancer is one of the most common cancers in women worldwide, which causes an enormous number of deaths annually. However, early diagnosis of...
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Construction and Analysis of a Mitochondrial Metabolism-Related Prognostic Model for Breast Cancer to Evaluate Survival and Immunotherapy
As one of the most prevalent malignancies among women, breast cancer (BC) is tightly linked to metabolic dysfunction. However, the correlation...
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Cancer profiles in China and comparisons with the USA: a comprehensive analysis in the incidence, mortality, survival, staging, and attribution to risk factors
China faces a disproportionate cancer burden to the population size and is undergoing a transition in the cancer spectrum. We extracted data in five...
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Metformin-induced oxidative stress inhibits LNCaP prostate cancer cell survival
BackgroundPreclinical and clinical studies over the past several decades have indicated the potential value of metformin, a widely utilized treatment...
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Glucose deprivation triggers DCAF1-mediated inactivation of Rheb-mTORC1 and promotes cancer cell survival
Low glucose is a common microenvironment for rapidly growing solid tumors, which has developed multiple approaches to survive under glucose...
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Inhibition of mitochondrial fission activates glycogen synthesis to support cell survival in colon cancer
Metabolic reprogramming has been recognized as one of the major mechanisms that fuel tumor initiation and progression. Our previous studies...
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Gene expression and survival analysis study of KIAA0101 gene revealed its prognostic and diagnostic importance in breast cancer
Breast cancer (BC) is the most frequent cancer affecting women worldwide. High-throughput genomic platforms and microarray-based gene expression...
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A novel cancer-associated fibroblasts risk score model predict survival and immunotherapy in lung adenocarcinoma
Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death worldwide. Cancer-associated fibroblasts (CAFs) are a special type of...
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SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images
Cancer is one of the leading causes of deaths worldwide. Survival analysis and prediction of cancer patients is of great significance for their...
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Study on the Complexity of Omics Data: An Analysis for Cancer Survival Prediction
The use of machine learning approaches in studying cancer through omics datasets has been an important research tool since the advent of...
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Exploring the role of interleukin 11 in cancer progression, patient survival, and therapeutic insights
BackgroundThe Interleukin (IL)-11 gene, which is one of the members of the cytokine family, has an oncogenic role in some cancers. The main goal of...
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PathExpSurv: pathway expansion for explainable survival analysis and disease gene discovery
BackgroundIn the field of biology and medicine, the interpretability and accuracy are both important when designing predictive models. The...
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Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system
ObjectivesImmune microenvironment was closely related to the occurrence and progression of colorectal cancer (CRC). The objective of the current...
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Lung cancer survival prediction and biomarker identification with an ensemble machine learning analysis of tumor core biopsy metabolomic data
IntroductionWhile prediction of short versus long term survival from lung cancer is clinically relevant in the context of patient management and...
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Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic data
BackgroundCancer is one of the leading death causes around the world. Accurate prediction of its survival time is significant, which can help...
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Joint learning sample similarity and correlation representation for cancer survival prediction
BackgroundAs a highly aggressive disease, cancer has been becoming the leading death cause around the world. Accurate prediction of the survival...
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The E3 ubiquitin ligase TRIM17 promotes gastric cancer survival and progression via controlling BAX stability and antagonizing apoptosis
Tripartite motif 17 (TRIM17) belongs to a subfamily of the RING-type E3 ubiquitin ligases, and regulates several cellular processes and pathological...
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Survival-based bioinformatics analysis to identify hub long non-coding RNAs along with lncRNA-miRNA-mRNA network for potential diagnosis/prognosis of thyroid cancer
Thyroid cancer (TC) is the most common endocrine cancer, accounting for 1.7% of all cancer cases. It has been reported that the existing approach to...
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The TRAF2-p62 axis promotes proliferation and survival of liver cancer by activating mTORC1 pathway
TRAF2 (Tumor necrosis factor receptor-associated factor 2) is a dual function protein, acting as an adaptor protein and a ubiquitin E3 ligase, which...
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Macrophages reprogramming driven by cancer-associated fibroblasts under FOLFIRINOX treatment correlates with shorter survival in pancreatic cancer
BackgroundPancreatic ductal adenocarcinoma (PDAC) remains a clinically challenging cancer, mainly due to limited therapeutic options and the presence...
