ArticleInternational journal of molecular sciences2023
A Risk Model for Prognosis and Treatment Response Prediction in Colon Adenocarcinoma Based on Genes Associated with the Characteristics of the Epithelial-Mesenchymal Transition.
Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- PEA15 promotes osteosarcoma progression and cisplatin resistance by modulating autophagy through the FABP3-TNF signaling axis.iScience · 2025Article
- Establishment of two pathomic-based machine learning models to predict CLCA1 expression in colon adenocarcinoma.PloS one · 2025Article
- Constructing a novel mitochondrial metabolism-related genes signature to evaluate tumor immune microenvironment and predict survival of colorectal cancer.Frontiers in medicine · 2025Article
- Identification and experimental validation of prognostic genes related to cytochrome c in breast cancer.Frontiers in genetics · 2025Article
- A mitochondrial ferroptosis-related gene signature predicts prognosis and immune landscape in colon cancer.Frontiers in medicine · 2025Article
- A mitochondrial lipid metabolism-related gene signature predicts prognosis and immune landscape in colorectal cancer.Frontiers in immunology · 2025Article
- Pancancer analysis of NDUFA4L2 with focused role in tumor progression and metastasis of colon adenocarcinoma.Medical oncology (Northwood, London, England) · 2024Article
- Hypoxia inducible factor-1ɑ as a potential therapeutic target for osteosarcoma metastasis.Frontiers in pharmacology · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The epithelial-mesenchymal transition (EMT) is an important process during metastasis in various tumors, including colorectal cancer (CRC). Thus, the study of its characteristics and related genes is of great significance for CRC treatment. In this study, 26 EMT-related gene sets were used to score each sample from The Cancer Genome Atlas program (TCGA) colon adenocarcinoma (COAD) database. Based on the 26 EMT enrichment scores for each sample, we performed unsupervised cluster analysis and classified the TCGA-COAD samples into three EMT clusters. Then, weighted gene co-expression network analysis (WGCNA) was used to investigate the gene modules that were significantly associated with these three EMT clusters. Two gene modules that were strongly positively correlated with the EMT cluster 2 (worst prognosis) were subjected to Cox regression and least absolute shrinkage and selection operator (LASSO) regression analysis. Then, a prognosis-related risk model composed of three hub genes
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.