AIMC Topic: Gene Expression Regulation, Neoplastic
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Integrative PPI network and random forest analysis identifies KIF4A, TOP2A, and ASPM protein macromolecules as novel protein biomarkers in renal carcinoma pathogenesis.
International journal of biological macromolecules
Jun 1, 2025
The pathogenesis of kidney cancer is not fully understood, so there is an urgent need to identify new biomarkers to improve diagnosis and treatment. The study identified KIF4A, TOP2A and ASPM as novel protein biomarkers for renal cancer and explored ...
Nerve Tissue Proteins
Epithelial-Mesenchymal Transition
Random Forest
Carcinoma, Renal Cell
Kinesins
Kidney Neoplasms
Poly-ADP-Ribose Binding Proteins
Cell Line, Tumor
Humans
DNA Topoisomerases, Type II
Protein Interaction Maps
Prognosis
Computational Biology
Biomarkers, Tumor
Gene Expression Regulation, Neoplastic
Gene Expression Profiling
Cancer type and survival prediction based on transcriptomic feature map.
Computers in biology and medicine
Jun 1, 2025
This study achieved cancer type and survival time prediction by transforming transcriptomic features into feature maps and employing deep learning models. Using transcriptomic data from 27 cancer types and survival data from 10 types in the TCGA data...
Pathway Enrichment-Based Unsupervised Learning Identifies Novel Subtypes of Cancer-Associated Fibroblasts in Pancreatic Ductal Adenocarcinoma.
Interdisciplinary sciences, computational life sciences
Jun 1, 2025
Existing single-cell clustering methods are based on gene expressions that are susceptible to dropout events in single-cell RNA sequencing (scRNA-seq) data. To overcome this limitation, we proposed a pathway-based clustering method for single cells (...
Artificial intelligence-driven microRNA signature for early detection of gastric cancer: discovery and clinical functional exploration.
British journal of cancer
Jun 1, 2025
BACKGROUND: Gastric cancer (GC) is a leading cause of cancer-related deaths worldwide, with late-stage diagnoses frequently leading to poor outcomes. This underscores the need for effective early-stage gastric cancer (ESGC) diagnostics.
Integrating bulk RNA-seq and scRNA-seq analyses with machine learning to predict platinum response and prognosis in ovarian cancer.
Scientific reports
May 31, 2025
Platinum-based therapy is an integral part of the standard treatment for ovarian cancer. However, despite extensive research spanning several decades, the identification of dependable predictive biomarkers for platinum response in clinical practice h...
Integration of Bulk RNA and Single-Cell Analyses Reveal Distinct Expression Patterns of Anoikis-Related Genes and the Immunosuppressive Role of NQO1 Macrophages in Hepatocellular Carcinoma.
FASEB journal : official publication of the Federation of American Societies for Experimental Biology
May 31, 2025
Anoikis resistance plays a crucial role in the proliferation, metastasis, and invasion of hepatocellular carcinoma (HCC). However, the key genes involved remain to be identified. This study aimed to investigate the prognostic value and impact of anoi...
Integrated machine learning survival framework develops a prognostic model based on macrophage-related genes and programmed cell death signatures in a multi-sample Kidney renal clear cell carcinoma.
Cell biology and toxicology
May 30, 2025
BACKGROUND: Macrophages are closely associated with the progression of Kidney renal clear cell carcinoma (KIRC) and can influence programmed cell death (PCD) of tumour cells. To identify prognostic biomarkers for KIRC, it is essential to investigate ...
Identification of key genes regulating colorectal cancer stem cell characteristics by bioinformatics analysis.
Medicine
May 30, 2025
Cancer stem cells (CSCs), distinguished by their abilities to differentiate and self-renew, play a pivotal role in the progression of colorectal cancer (CRC). However, the mechanisms that sustain CSCs in CRC remain unclear. This study aimed to identi...
Machine learning identifies SRD5A3 as a propionate-related prognostic biomarker in triple-negative breast cancer.
Scientific reports
May 29, 2025
The increased risk of recurrence and metastasis are obstacles to treating TNBC. Propionate-related genes play an important role in tumor development and immune cell infiltration. The study was to identify the association between propionate-related ge...
Saliva-derived transcriptomic signature for gastric cancer detection using machine learning and leveraging publicly available datasets.
Scientific reports
May 27, 2025
Saliva, a non-invasive, self-collected liquid biopsy, holds promise for early gastric cancer (GC) screening. This study aims to assess the potential of saliva as a proxy for malignant gastric transformation and its diagnostic value through transcript...
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