ArticleInternational journal of biological sciences2023
Unraveling Colorectal Cancer and Pan-cancer Immune Heterogeneity and Synthetic Therapy Response Using Cuproptosis and Hypoxia Regulators by Multi-omic Analysis and Experimental Validation.
Article in International journal of biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Cuproptosis and ferroptosis: signal pathways, diseases and therapeutic targets.Signal transduction and targeted therapy · 2026Review
- Multidrug resistance in cancer: current understandings and future perspective.Molecular biomedicine · 2026Review
- Mechanism and role of regulated cell death in tumor immunity and immunotherapy.Cancer communications (London, England) · 2025Review
- Glucose Metabolic Reprogramming in Colorectal Cancer: From Mechanisms to Targeted Therapy Approaches.Cancer medicine · 2025Review
- Identification of prognostic biomarkers in colorectal cancer through multi-omics profiling of programmed cell death pathways.Journal of gastrointestinal oncology · 2025Article
- Involvement of copper in cell death and cancer.Apoptosis : an international journal on programmed cell death · 2025Review
- Unveiling the Cuproptosis in Colitis and Colitis-Related Carcinogenesis: A Multifaceted Player and Immune Moderator.Research (Washington, D.C.) · 2025Review
- Copper in colorectal cancer: From copper-related mechanisms to clinical cancer therapies.Clinical and translational medicine · 2024Review
- DegS regulates the aerobic metabolism ofFrontiers in cellular and infection microbiology · 2024Article
- Omics-Based Approaches for the Characterization of Pompe Disease Metabolic Phenotypes.Biology · 2023Review
Corrections and comments
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Authors and funding
11 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cuproptosis, a new type of programmed cell death (PCD), is closely related to cellular tricarboxylic acid cycle and cellular respiration, while hypoxia can modulate PCD. However, their combined contribution to tumor subtyping remains unexplored. Here, we applied a multi-omics approach to classify TCGA_COADREAD based on cuproptosis and hypoxia. The classification was validated in three colorectal cancer (CRC) cohorts and extended to a pan-cancer analysis. The results demonstrated that pan-cancers, including CRC, could be divided into three distinct subgroups (cuproptosis-hypoxia subtypes, CHSs): CHS1 had active metabolism and poor immune infiltration but low fibrosis; CHS3 had contrasting characteristics with CHS1; CHS2 was intermediate. CHS1 may respond well to cuproptosis inducers, and CHS3 may benefit from a combination of immunotherapy and anti-fibrosis/anti-hypoxia therapies. In CRC, the CHSs also showed a significant difference in prognosis and sensitivity to classic drugs. Organoid-based drug sensitivity assays validated the results of transcriptomics. Cell-based assays indicated that masitinib and simvastatin had specific effects on CHS1 and CHS3, respectively. A user-friendly website based on the classifier was developed (https://fan-app.shinyapps.io/chs_classifier/) for accessibility. Overall, the classifier based on cuproptosis and hypoxia was applicable to most pan-cancers and could aid in personalized cancer therapy.
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