| World Journal of Oncology, ISSN 1920-4531 print, 1920-454X online, Open Access |
| Article copyright, the authors; Journal compilation copyright, World J Oncol and Elmer Press Inc |
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Original Article
Volume 17, Number 5, October 2026, pages 614-622
Development of a Computational Histology Artificial Intelligence-Powered Prognostic Biomarker in Colorectal Cancer in The Cancer Genome Atlas
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Table
| Characteristic | Overall (n = 583)a | Development (n = 174)a | Validation (n = 409)a | P valueb |
|---|---|---|---|---|
| aMedian (Q1–Q3); n (%). bWilcoxon rank sum test; Fisher’s exact test. Patients were randomly partitioned into a development cohort (n = 174) and validation cohort (n = 409). Clinical characteristics of patients in both cohorts are summarized. Continuous variables are summarized as median (interquartile range) and categorical variables as n (%). Between cohort differences were tested using the Wilcoxon rank-sum test for continuous variables and Fisher’s exact test for categorical variables. AJCC: American Joint Committee on Cancer; MSI: microsatellite instability; MSS: microsatellite stable: MSI-H: microsatellite instability-high. | ||||
| Age (years) | 68.0 (58.0–76.0) | 66.5 (59.0–75.0) | 68.0 (57.0–76.0) | 0.78 |
| Sex | 0.10 | |||
| Female | 278 (48%) | 92 (53%) | 186 (45%) | |
| Male | 305 (52%) | 82 (47%) | 223 (55%) | |
| Race | 0.60 | |||
| White | 275 (78%) | 75 (77%) | 200 (79%) | |
| Black | 63 (18%) | 21 (21%) | 42 (17%) | |
| Asian | 12 (3%) | 2 (2%) | 10 (4%) | |
| American Indian | 1 (0%) | 0 (0%) | 1 (0%) | |
| Missing | 232 | 76 | 156 | |
| AJCC stage | 1.00 | |||
| I | 107 (18%) | 32 (18%) | 75 (18%) | |
| II | 213 (37%) | 64 (37%) | 149 (36%) | |
| III | 180 (31%) | 54 (31%) | 126 (31%) | |
| IV | 83 (14%) | 24 (14%) | 59 (14%) | |
| Microsatellite instability (MSI) status | 0.73 | |||
| MSS | 103 (91%) | 34 (89%) | 69 (92%) | |
| MSI-H | 10 (9%) | 4 (11%) | 6 (8%) | |
| Missing | 470 | 136 | 334 | |
| Sidedness | 0.85 | |||
| Left | 318 (56%) | 96 (56%) | 222 (57%) | |
| Right | 246 (44%) | 76 (44%) | 170 (43%) | |
| Missing | 19 | 2 | 17 | |
| Lymphovascular invasion | 0.22 | |||
| Absent | 300 (55%) | 96 (59%) | 204 (53%) | |
| Present | 244 (45%) | 66 (41%) | 178 (47%) | |
| Missing | 39 | 12 | 27 | |
| Perineural invasion | 0.40 | |||
| Absent | 165 (74%) | 50 (78%) | 115 (72%) | |
| Present | 58 (26%) | 14 (22%) | 44 (28%) | |
| Missing | 360 | 110 | 250 | |
| Lymph nodes examined | 19.0 (14.0–27.0) | 20.0 (15.0–28.0) | 19.0 (14.0–27.0) | 0.12 |
| Missing | 27 | 9 | 18 | |