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. 2021 May 7;21:252. doi: 10.1186/s12935-021-01930-y

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Kaplan–Meier survival curves and Cox proportional hazards regression model curves of ovarian cancer patients. Kaplan–Meier survival analysis showed that a HHLA2 positive patients were correlated with slightly superior overall survival rates (Breslow’s test, p = 0.474). b platinum-resistant patients had significantly shortened survival time compared to platinum-sensitive patients. (Breslow’s test, ***p < 0.001). c Progesterone receptor (PR) negative patients tended to have shorter survival than PR positive patients. d, e Cox proportional hazards regression model demonstrated that HHLA2 expression (*p = 0.049, HR = 0.156, 95% CI = 0.025–0.992) in cancer tissue and sensitivity to platinum chemotherapy (**p = 0.002, HR = 14.14, 95% CI = 2.632–75.916) were independent prognostic factors. Platinum-resistant patients and HHLA2-negative patients had significantly inferior overall survival rates with adjusting confounding factors