A risk model based on 10 ferroptosis regulators and markers established by LASSO-regularized linear Cox regression has a good prognostic value for ovarian cancer patients.

"gene expression data have been archived as microarray datasets in geo repository at the ncbi archives and are accessible through geo series accession number gse63885.; availability of data and materials the datasets analyzed during the current study are available in the tcga-ov repository ( https://portal gdc cancer gov/projects/tcga-ov ) gse63885 repository ( https://www ncbi nlm nih gov/geo/query/acc cgi? availability of data and materials the datasets analyzed during the current study are available in the tcga-ov repository ( https://portal gdc cancer gov/projects/tcga-ov ) gse63885"

"Declarations Ethics approval and consent to participateAll procedures performed in studies involving human participants were in accordance with the ethical standards of Affiliated Tumor Hospital, Xinjiang Medical University (approval ID: K-2021057) and with the 1964 Helsinki Declaration. Informed consent to participate in the study has been obtained from participants. All the experimental protocols in the study were approved by the Ethics Committee of Affiliated Tumor Hospital, Xinjiang Medical University. Consent for publicationConsent for publication was obtained from the participants. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

"Funding This study was supported by Natural Science Foundation of Xinjiang Uygur Autonomous Region (2023D01C128), Tianjin Science and Technology Support Program Project (18YFZCSY00100) and Program for New Century Excellent Talents in University in China (NCET-11-1066)."