ArticleMolecular oncology2014
A nineteen gene-based risk score classifier predicts prognosis of colorectal cancer patients.
Article in Molecular oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 1 of them a synthesis that pooled it.
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Who cites it
119 citing papers in PubMed, 1 synthesis or guideline pooled it, 218 citations in OpenAlex.
- Pooled it
- A core transcriptional regulatory circuitry controls super-enhancer-driven activation of LGR5 in colorectal cancer.Nature communications · 2026Article
- Neutrophil extracellular traps promote liver metastasis by impairing NK cell-dependent tumor surveillance via CCDC25.Nature communications · 2026Article
- Efficient differential latent network analysis: applications to colon cancer.BMC medical genomics · 2026Article
- Article
- HIF-1α suppresses SNPH expression to facilitate liver metastasis of colorectal cancer through regulating mitochondrial dynamics and filopodia formation.Cell death & disease · 2026Article
- OSBPL3 drives colorectal cancer progression via Hippo-YAP signaling and modulates MEK inhibitor sensitivity.Communications biology · 2026Article
- Lectin-Directed Protein Aggregation Therapy toward Hyperfucosylated and Hypersialylated Metastatic Colorectal Cancers.Biomaterials research · 2026Article
- Tumor cell-intrinsic PD-1 regulates chemotherapy resistance in colorectal cancer cells by activating downstream MAPK signaling.BJC reports · 2025Article
- Anti-tumor activity of camptothecin analog conjugate of an RSPO4-based peptibody targeting LGR4/5/6 in preclinical models of colorectal cancer.British journal of cancer · 2025Article
- Prognostic and therapeutic value of a 23-gene risk score tailored to the molecular characteristics of mucinous colorectal cancer.British journal of cancer · 2025Article
- Whole transcriptome analysis identifiesCancer pathogenesis and therapy · 2025Article
- Alternative Splicing of FBLN2 Generates a Prometastatic Extracellular Matrix in Gastrointestinal Cancers by Determining N-Glycosylation of Fibulin 2.Genes to cells : devoted to molecular & cellular mechanisms · 2025Article
- LIN28B-mediated PI3K/AKT pathway activation promotes metastasis in colorectal cancer models.The Journal of clinical investigation · 2025Article
- 3D genome landscape of primary and metastatic colorectal carcinoma reveals the regulatory mechanism of tumorigenic and metastatic gene expression.Communications biology · 2025Article
- Antibody-Drug Conjugates Targeting the EGFR Ligand Epiregulin Elicit Robust Antitumor Activity in Colorectal Cancer.Cancer research · 2025Article
- Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models.Nature biomedical engineering · 2025Article
- Consensus molecular subtyping of colorectal carcinoma brain metastases reveals a metabolic signature associated with poor patient survival.Molecular oncology · 2025Article
- From bench to bytes: a practical guide to RNA sequencing data analysis.Frontiers in genetics · 2025Review
- Antibody-Drug Conjugates Targeting the EGFR Ligand Epiregulin Elicit Robust Anti-Tumor Activity in Colorectal Cancer.bioRxiv : the preprint server for biology · 2024Article
59 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) patients frequently experience disease recurrence and distant metastasis. This study aimed to identify prognostic indicators, including individual responses to chemotherapy, in CRC patients. RNA-seq data was generated using 54 samples (normal colon, primary CRC, and liver metastases) from 18 CRC patients and genes associated with CRC aggressiveness were identified. A risk score based on these genes was developed and validated in four independent CRC patient cohorts (n = 1063). Diverse statistical methods were applied to validate the risk scoring system, including a generalized linear model likelihood ratio test, Kaplan-Meier curves, a log-rank test, and the Cox model. TREM1 and CTGF were identified as two activated regulators associated with CRC aggressiveness. A risk score based on 19 genes regulated by TREM1 or CTGF activation (TCA19) was a significant prognostic indicator. In multivariate and subset analyses based on pathological staging, TCA19 was an independent risk factor (HR = 1.894, 95% CI = 1.227-2.809, P = 0.002). Subset stratification in stage III patients revealed that TCA19 had prognostic potential and identified patients who would benefit from adjuvant chemotherapy, regardless of age. The TCA19 predictor represents a novel diagnostic tool for identifying high-risk CRC patients and possibly predicting the response to adjuvant chemotherapy.
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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 OpenQuestion graph.