Unlocking the future: Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response

doi:10.5306/wjco.v16.i1.94813

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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

Clinical and Translational Research

World J Clin Oncol. Jan 24, 2025; 16(1): 94813
Published online Jan 24, 2025. doi: 10.5306/wjco.v16.i1.94813

Table 4 Overall performance of the ovarian cancer immunotherapy efficacy model

	Discovery cohort	Validation cohort
AUC	0.9444	0.9167
AUC 95%CI	0.8333-1.0000	0.6667-1.0000
Specificity	1.0000	0.8333
Sensitivity	0.8889	1.0000
Accuracy	0.9444	0.8750
NPV	0.9000	1.0000
PPV	1.0000	0.6667
P value, goodness of fit	0.3708	0.1175

AUC: Area under the receiver operating characteristic curve; CI: Confidence interval; NPV: ‎Negative predictive value; PPV: Positive predictive value.

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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

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 [PMID: 39867736 DOI: 10.5306/wjco.v16.i1.94813]

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