Back to search

Article

Comprehensive Analysis of WGCNA - Derived Cancer Associated Fibroblasts Model For Prognosis, Immune Features, and Candidate Drug Development in LUSC

2023-08-28

Abstract excerpt

Cancer-associated fibroblasts (CAFs) directly affect the behavior of surrounding cells and reshape extracellular matrix (ECM) in tumor microenvironment (TME) via cell-cell contact, releasing regulatory factors. This study aimed to explore stromal CAF - related genes for prognostic prediction and therapeutic response in LUSC. We downloaded mRNA expression and clinical information of 243 LUSC cases from Gene Express...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8a65538a-bf9e-5c37-afdf-1f9b7e1f280d
DOI
10.21203/rs.3.rs-3275724/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Comprehensive Analysis of WGCNA - Derived Cancer Associated Fibroblasts Model For Prognosis, Immune Features, and Candidate Drug Development in LUSCDOI 10.21203/rs.3.rs-3275724/v1
Weighted Gene Co-expression Network Analysis Identifies a Cancer-Associated Fibroblast Signature for Predicting Prognosis and Therapeutic Responses in Lung Squamous Cell CarcinomaSemantic proximity
Weighted Gene Co-expression Network Analysis Identifies a Cancer-Associated Fibroblasts Signature for Predicting Prognosis and Immunotherapeutic Responses in Skin Cutaneous MelanomaSemantic proximity
A Cancer Associated Fibroblasts-Related Six-Gene Panel for Anti-PD-1 Therapy in Melanoma Driven by Weighted Correlation Network Analysis and Supervised Machine LearningSemantic proximity
Identification of Cancer Associated Fibroblasts Related Genes Signature to Facilitate Improved Prediction of Prognosis and Responses to Therapy in Patients with Pancreatic CancerSemantic proximity
Single-cell analysis reveals the COL11A1+ fibroblasts are cancer-specific fibroblasts that promote tumor progressionSemantic proximity
Identification of a Gene Signature of Cancer-Associated Fibroblasts to Predict Prognosis in Ovarian CancerSemantic proximity
Identification of prognostic signature of cancer-associated fibroblasts associated with castration resistance prostate cancer based on Weighted Gene Co-expression Network AnalysisSemantic proximity
RNA-seq and bulk RNA-seq data analysis of cancer-related fibroblasts (CAF) in LUAD to construct a CAF-based risk signatureSemantic proximity
Identification of a Candidate Risk Model Based on Cancer- Associated Fibroblasts-Related Gene Signature Predicting the Prognosis in Hepatocellular CarcinomaSemantic proximity
An Integrative Machine Learning Approach Identifies a Cancer- Associated Fibroblast–Driven Predictive Model for Early-Stage Lung Squamous Cell CarcinomaSemantic proximity
Analysis of CAFs‑related Genes Identifies COL11A1 Associated with Lung Adenocarcinoma Diagnosis and PrognosisSemantic proximity
Analysis of cancer-associated fibroblasts related genes identifies COL11A1 associated with lung adenocarcinoma prognosisSemantic proximity
Select a neighboring publication to make it the new centre.