Abstract
Background
Colorectal cancer is the second leading cause of cancer-related deaths, which imposes a significant societal burden. Regular screening and emerging molecular tumor markers have important implications for detecting the progression and development of colorectal cancer. Disulfidptosis is a newly defined type of programmed cell death triggered by abnormal accumulation of disulfide compounds in cells that stimulate disulfide stress. Currently, there is no relevant discussion on this mechanism and colorectal cancer.
Methods
We classified the disulfidptosis-related subtypes of colorectal cancer using bioinformatics methods. Through secondary clustering of differentially expressed genes between subtypes, we identified characteristic genes of the disulfidptosis subtype, constructed a prognostic model, and searched for potential biomarkers through clinical validation.
Results
Using disulfidptosis-related genes collected from the literature, we classified colorectal cancer patients from public databases into three subtypes. The differentially expressed genes between subtypes were clustered into three gene subtypes, and eight characteristic genes were screened to construct a prognostic model.
Conclusion
The disulfidptosis mechanism has important value in the classification of colorectal cancer patients, and characteristic genes selected based on this mechanism can serve as a new potential biological marker for colorectal cancer.
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Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author.
Abbreviations
- CRC:
-
Colorectal cancer
- SLC7A11:
-
Solute carrier family 7 member 11
- NADPH:
-
Nicotinamide adenine dinucleotide phosphate
- SLC3A2:
-
4F2 cell-surface antigen heavy chain
- RPN1:
-
Dolichyl-diphosphooligosaccharide-protein glycosyltransferase subunit 1
- NCKAP1:
-
Nck-associated protein 1
- DRG:
-
Disulfidptosis-related genes
- DEGs:
-
Differentially expressed genes
- TCGA:
-
The Cancer Genome Atlas
- GEO:
-
The Gene Expression Omnibus
- LASSO:
-
Least absolute shrinkage and selection operator
- OS:
-
Overall survival
- HPA:
-
The Human Protein Atlas database
- CIBERSORT:
-
Cell-type identification by estimating relative subsets of RNA transcript
- TME:
-
Tumor microenvironment
- CSC:
-
Cancer stem cell index
- TMB:
-
Tumor mutation burden
- MSI:
-
Microsatellite instability
- CNV:
-
Copy number variation
- PCA:
-
Principal component analysis
- GOCC:
-
GO cellular component
- GOMF:
-
GO molecular function
- MDSCs:
-
Myeloid-derived suppressor cells
- CDF:
-
Cumulative distribution function
- MXRA8:
-
Matrix remodeling-associated protein 8
- IGFBP5:
-
Insulin-like growth factor-binding protein 5
- MRC2:
-
C-type mannose receptor 2
- HTRA1:
-
Serine protease HTRA1
- TNFAIP6:
-
Tumor necrosis factor-inducible gene 6 protein
- SLC2A3:
-
Solute carrier family 2, facilitated glucose transporter member 3
- GRP:
-
Gastrin-releasing peptide
- APOD:
-
Apolipoprotein D
- PCD:
-
Programmed cell death
- ACD:
-
Accidental cell death
- GLUT3:
-
Glucose transporter-3
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LY was responsible for designing the study, analyzing the data, and was the main author of the manuscript. ZS and WYP provided guidance and revised the manuscript. TMY and DW were responsible for organizing the images. All authors read and approved the final manuscript.
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Li, Y., Tang, M., Dang, W. et al. Identification of disulfidptosis-related subtypes, characterization of tumor microenvironment infiltration, and development of a prognosis model in colorectal cancer. J Cancer Res Clin Oncol 149, 13995–14014 (2023). https://doi.org/10.1007/s00432-023-05211-1
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DOI: https://doi.org/10.1007/s00432-023-05211-1