ArticleInternational journal of molecular sciences2019
Identification and Clinical Validation of a Novel 4 Gene-Signature with Prognostic Utility in Colorectal Cancer.
Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed, 58 citations in OpenAlex.
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- MCM4 as Potential Metastatic Biomarker in Lung Adenocarcinoma.Diagnostics (Basel, Switzerland) · 2025Article
- Integrated single cell and bulk RNA sequencing analyses reveal the impact of tryptophan metabolism on prognosis and immunotherapy in colon cancer.Scientific reports · 2025Article
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- FAM50A as a novel prognostic marker modulates the proliferation of colorectal cancer cells via CylinA2/CDK2 pathway.PloS one · 2025Article
- Predicting patient outcomes with gene-expression biomarkers from colorectal cancer organoids and cell lines.Frontiers in molecular biosciences · 2025Article
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- DPP7 as a Potential Therapeutic Marker for Colorectal Cancer.Journal of Cancer · 2024Article
- Identification of novel T cell proliferation patterns, potential biomarkers and therapeutic drugs in colorectal cancer.Journal of Cancer · 2024Article
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- YWHAB knockdown inhibits cell proliferation whilst promoting cell cycle arrest and apoptosis in colon cancer cells through PIK3R2.Experimental and therapeutic medicine · 2023Article
- A DNA methylation signature for the prediction of tumour recurrence in stage II colorectal cancer.British journal of cancer · 2023Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is a high burden disease with several genes involved in tumor progression. The aim of the present study was to identify, generate and clinically validate a novel gene signature to improve prediction of overall survival (OS) to effectively manage colorectal cancer. We explored The Cancer Genome Atlas (TCGA), COAD and READ datasets (597 samples) from The Protein Atlas (TPA) database to extract a total of 595 candidate genes. In parallel, we identified 29 genes with perturbations in > 6 cancers which are also affected in CRC. These genes were entered in cBioportal to generate a 17 gene panel with highest perturbations. For clinical validation, this gene panel was tested on the FFPE tissues of colorectal cancer patients (88 patients) using Nanostring analysis. Using multivariate analysis, a high prognostic score (composite 4 gene signature-
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