ArticleFrontiers in oncology2021
Molecular Classification Based on Prognostic and Cell Cycle-Associated Genes in Patients With Colon Cancer.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 13 citations in OpenAlex.
- A prognostic signature for hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer.Scientific reports · 2025Article
- Integrated Multi-Omics Analysis Unveils Distinct Molecular Subtypes and a Robust Immune-Metabolic Prognostic Model in Clear Cell Renal Cell Carcinoma.International journal of molecular sciences · 2025Article
- Cell Cycle-Based Molecular Features via Synthetic Lethality and Non-Coding RNA Interactions in Cancer.Genes · 2025Article
- Influence of Genetic Polymorphisms on the Age at Cancer Diagnosis in a Homogenous Lynch Syndrome Cohort of Individuals Carrying theBiomedicines · 2024Article
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- Immune depletion of the methylated phenotype of colon cancer is closely related to resistance to immune checkpoint inhibitors.Frontiers in immunology · 2022Article
- Immune Landscape and Classification in Lung Adenocarcinoma Based on a Novel Cell Cycle Checkpoints Related Signature for Predicting Prognosis and Therapeutic Response.Frontiers in genetics · 2022Article
- Identification and Validation of Invasion-Related Molecular Subtypes and Prognostic Features for Cervical Cancer.Computational and mathematical methods in medicine · 2022Article
- Perspective of Human Condensins Involved in Colorectal Cancer.Frontiers in pharmacology · 2021Article
- Comprehensive Analysis of Cell Cycle-Related Genes in Patients With Prostate Cancer.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The molecular classification of patients with colon cancer is inconclusive. The gene set enrichment analysis (GSEA) of dysregulated genes among normal and tumor tissues indicated that the cell cycle played a crucial role in colon cancer. We performed univariate Cox regression analysis to find out the prognostic-related genes, and these genes were then intersected with cell cycle-associated genes and were further recognized as prognostic and cell cycle-associated genes. Unsupervised non-negative matrix factorization (NMF) clustering was performed based on cell cycle-associated genes. Two subgroups were identified with different overall survival, clinical features, cell cycle enrichment profile, and mutation profile. Through nearest template prediction (NTP), the molecular classification could be effectively repeated in the original data set and validated in several independent data sets indicating that the classification is highly repeatable. Furthermore, we constructed two prognostic signatures in two subgroups, respectively. Our molecular classification based on cell cycle may provide novel insight into the treatment and the prognosis of colon cancer.
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