Copyright
©The Author(s) 2025.
World J Clin Oncol. Jan 24, 2025; 16(1): 94813
Published online Jan 24, 2025. doi: 10.5306/wjco.v16.i1.94813
Published online Jan 24, 2025. doi: 10.5306/wjco.v16.i1.94813
Discovery cohort | Validation cohort | Statistical method | P value | |
Prognostic model | ||||
(n = 262) | (n = 113) | |||
Survival time in days | Wilcoxon | 0.5446 | ||
Median (IQR) | 1012 (547, 1712) | 1032 (394, 1562) | ||
Alive | χ2 test | 0.5337 | ||
Yes | 104 (39.69) | 41 (36.28) | ||
No | 158 (60.31) | 72 (63.72) | ||
Immunotherapy efficacy model | ||||
(n = 18) | (n = 8) | |||
Sensitivity to immunotherapy | Fisher’s exact | 0.3945 | ||
Yes | 9 (50.00) | 2 (25.00) | ||
No | 9 (50.00) | 6 (75.00) |
- Citation: Tang ZJ, Pan YM, Li W, Ma RQ, Wang JL. Unlocking the future: Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response. World J Clin Oncol 2025; 16(1): 94813
- URL: https://www.wjgnet.com/2218-4333/full/v16/i1/94813.htm
- DOI: https://dx.doi.org/10.5306/wjco.v16.i1.94813