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

Table 1 Clinical features of patients in this study

	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)

Data are n (%), unless otherwise indicated. Sensitivity to immunotherapy means patients showed partial response or complete response after the use of immune checkpoint inhibitors according to response evaluation criteria in solid tumors 1.1. IQR: Interquartile range.

Table 2 Overall performance of the ovarian cancer prognostic model

	Discovery cohort	Validation cohort
AUC	0.7268	0.6475
AUC 95%CI	0.7258-0.7278	0.6466-0.6484

AUC: Area under the receiver operating characteristic curve; CI: Confidence interval.

Table 3 Performance of the ovarian cancer prognostic model when truncated at 1 year, 2 years, and 3 years

	Discovery cohort			Validation cohort
	1 year	2 years	3 years	1 year	2 years	3 years
AUC	0.7597	0.7734	0.7461	0.6827	0.725	0.7087
AUC 95%CI	0.6252-0.8942	0.6908-0.8560	0.6789-0.8134	0.5114-0.8541	0.6128-0.8373	0.6126-0.8049
Specificity	0.7869	0.9481	0.9022	0.7451	0.7931	0.7895
Sensitivity	0.6667	0.58	0.5897	0.6364	0.6538	0.6216
Accuracy	0.7786	0.8779	0.8092	0.7345	0.7611	0.7345
NPV	0.9697	0.9054	0.8384	0.95	0.8846	0.8108
PPV	0.1875	0.725	0.7188	0.2121	0.4857	0.5897
P value, goodness of fit	0.6699	0.6304	0.4325	0.0826	0.1042	0.1084

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

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.