Development and internal validation of an immune-based prognostic modeling of early-onset colorectal cancer via machine learning

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World Journal of Clinical Oncology

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2218-4333

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Retrospective Cohort Study

World J Clin Oncol. Jan 24, 2026; 17(1): 114238
Published online Jan 24, 2026. doi: 10.5306/wjco.v17.i1.114238

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Figure 3 Distribution of risk scores according to tumor stage and CD16+CD56+ natural killer cell groups. NK: Natural killer.

Citation: Chen X, Wang Y, Shen HY, Wu R, Fu Z. Development and internal validation of an immune-based prognostic modeling of early-onset colorectal cancer via machine learning. World J Clin Oncol 2026; 17(1): 114238
URL: https://www.wjgnet.com/2218-4333/full/v17/i1/114238.htm
DOI: https://dx.doi.org/10.5306/wjco.v17.i1.114238

Chen X, Wang Y, Shen HY, Wu R, Fu Z. Development and internal validation of an immune-based prognostic modeling of early-onset colorectal cancer via machine learning. World J Clin Oncol 2026; 17(1): 114238 [PMID: 41608336 DOI: 10.5306/wjco.v17.i1.114238]

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