AIMC Topic: Gene Expression Regulation, Neoplastic
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Identification of a novel chemotherapy benefit index for patients with advanced ovarian cancer based on Bayesian network analysis.
PloS one
May 27, 2025
BACKGROUND: This study aims to evaluate the efficacy of chemotherapy and optimize treatment strategies for patients with advanced ovarian cancer.
Innate immune cell barrier-related genes inform precision prognosis in pancreatic cancer.
Frontiers in immunology
May 23, 2025
INTRODUCTION: Pancreatic cancer (PC) remains a lethal malignancy with limited treatment options. The role of innate immune cell barrier-related genes in PC prognosis is poorly defined. This study aimed to identify prognostic biomarkers, develop a pre...
Metabolic profiles in laryngeal cancer defined two distinct molecular subtypes with divergent prognoses.
Frontiers in immunology
May 22, 2025
BACKGROUND: Laryngeal cancer (LCA) is the second most common type of head and neck malignancy, characterized by high recurrence rates and poor overall survival (OS). However, progress in curing LCA through molecular-targeted diagnostics and therapies...
Single-cell and bulk transcriptome analyses reveal elevated amino acid metabolism promoting tumor-directed immune evasion in colorectal cancer.
Frontiers in immunology
May 22, 2025
INTRODUCTION: Colorectal cancer (CRC), the third most common cancer worldwide, often shows limited responsiveness to immunotherapy due to its predominantly immune-excluded phenotype. Despite increasing insights into the complex tumor microenvironment...
Humans
Prognosis
Female
Colorectal Neoplasms
Lymphocytes, Tumor-Infiltrating
Transcriptome
Tumor Microenvironment
Tumor Escape
CD8-Positive T-Lymphocytes
Cell Line, Tumor
Male
Amino Acids
Single-Cell Analysis
Gene Expression Profiling
Programmed Cell Death 1 Receptor
Gene Expression Regulation, Neoplastic
Integrative analysis of epigenetic and transcriptional interrelations identifies histotype-specific biomarkers in early-stage ovarian carcinoma.
Journal of ovarian research
May 19, 2025
BACKGROUND: Epithelial ovarian cancer (EOC) is a deadly and heterogenous disease comprising five major histotypes: clear cell carcinoma (CCC), endometrioid carcinoma (EC), low- and high-grade serous carcinoma (LGSC, HGSC), and mucinous carcinoma (MC)...
Novel exosome-associated LncRNA model predicts colorectal cancer prognosis and drug response.
Hereditas
May 16, 2025
BACKGROUND: Exosomes are extracellular vesicles that carry various biological substances and have potential as functional mediators in cancers. However, little is known about special molecules in colorectal cancer (CRC) exosomes and their immunologic...
Gene expression and agent-based modeling improve precision prognosis in breast cancer.
Scientific reports
May 16, 2025
Breast cancer survival is hard to predict because of the complex ways genes and cells interact. This study offers a new method to improve these predictions by combining gene expression profiling (GEP) with agent-based modeling (ABM). First, GEP will ...
Integrative bioinformatics and machine learning identify key crosstalk genes and immune interactions in head and neck cancer and Hodgkin lymphoma.
Scientific reports
May 6, 2025
Head and neck squamous cell carcinoma (HNSCC) is a highly aggressive malignancy with complex molecular underpinnings. Hodgkin lymphoma (HL), another distinct cancer type, shares several biological characteristics with HNSCC, particularly regarding im...
Identification of M2 macrophage-related genes associated with diffuse large B-cell lymphoma via bioinformatics and machine learning approaches.
Biology direct
Apr 29, 2025
M2 macrophages play a crucial role in the initiation and progression of various tumors, including diffuse large B-cell lymphoma (DLBCL). However, the characterization of M2 macrophage-related genes in DLBCL remains incomplete. In this study, we downl...
A novel cancer-associated fibroblast-related gene signature for predicting diffuse large B cell lymphoma prognosis using weighted gene co-expression network analysis and machine learning.
The Journal of international medical research
Apr 25, 2025
ObjectiveOur objective was to investigate a novel cancer-associated fibroblast-related gene signature for predicting clinical outcomes in patients with diffuse large B cell lymphoma.MethodsThe cancer-associated fibroblast-related module genes were id...
Humans
Gene Expression Profiling
Transcriptome
Machine Learning
ROC Curve
Prognosis
Gene Regulatory Networks
Retrospective Studies
Female
Lymphoma, Large B-Cell, Diffuse
Biomarkers, Tumor
Male
Middle Aged
Gene Expression Regulation, Neoplastic
Nomograms
Cancer-Associated Fibroblasts
Kaplan-Meier Estimate
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