The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study
Abstract Background To investigate the effect of preoperative immunonutritional status on prognosis in epithelial ovarian cancer patients. Methods A multicenter real-world study included 922 patients with histologically confirmed epithelial ovarian cancer who received comprehensive staged surgery or...
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2025-02-01
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| Series: | Journal of Ovarian Research |
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| Online Access: | https://doi.org/10.1186/s13048-025-01607-4 |
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| author | Xingyu Liu Ming Li Yingjun Zhao Xiaofei Jiao Yang Yu Ruyuan Li Shaoqing Zeng Jianhua Chi Guanchen Ma Yabing Huo Zikun Peng Jiahao Liu Qi Zhou Dongling Zou Li Wang Qingshui Li Jing Wang Shuzhong Yao Youguo Chen Ding Ma Ting Hu Qinglei Gao |
| author_facet | Xingyu Liu Ming Li Yingjun Zhao Xiaofei Jiao Yang Yu Ruyuan Li Shaoqing Zeng Jianhua Chi Guanchen Ma Yabing Huo Zikun Peng Jiahao Liu Qi Zhou Dongling Zou Li Wang Qingshui Li Jing Wang Shuzhong Yao Youguo Chen Ding Ma Ting Hu Qinglei Gao |
| author_sort | Xingyu Liu |
| collection | DOAJ |
| description | Abstract Background To investigate the effect of preoperative immunonutritional status on prognosis in epithelial ovarian cancer patients. Methods A multicenter real-world study included 922 patients with histologically confirmed epithelial ovarian cancer who received comprehensive staged surgery or debulking surgery at seven tertiary hospitals in China between 2012 and 2023. Prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) were used to assess the immunonutritional status for their superior predictive power to indicate the nutritional status and the inflammatory immunity. Cox regression analyses were employed to identify variables associated with progression-free survival (PFS) and overall survival (OS). Results In the early-stage cohort of 224 epithelial ovarian cancer patients, the optimal cut-off value for PNI was 47.47 for both PFS and OS, while the optimal cut-off value for SII values were 551.37 for PFS and 771.78 for OS. In the late-stage group of 698 patients, the optimal PNI thresholds were 47.76 for PFS and 46.00 for OS, with SII values of 720.96 for PFS and 1686.11 for OS. In multivariate analysis of early-stage patients, high PNI was an independent protective factor for PFS (hazard ratio (HR), 0.39 (95% confidence interval (CI) 0.20–0.76), P = 0.006) and OS (HR, 0.44 (95% CI 0.20–0.97), P = 0.042), respectively. High SII was significantly associated with PFS (HR, 2.43 (95% CI 1.23–4.81), P = 0.011) and marginally unfavorable for OS (HR, 2.05 (95% CI 0.96–4.39), P = 0.064). In advanced population, PNI (HR, 0.77 (95% CI 0.60–0.99), P = 0.043) and SII (HR, 1.34 (95% CI 1.01–1.78), P = 0.041) were independent prognostic factors for OS but had no impact on PFS (P = 0.185, P = 0.188, respectively). Conclusion Poor preoperative immunonutritional status has a deleterious effect on the prognosis of patients with ovarian cancer. Intervention in patients suffering from suboptimal preoperative immunonutritional status may facilitate improved survival outcomes. |
| format | Article |
| id | doaj-art-55f1f659bb384a668b202b2ebadb4ec7 |
| institution | OA Journals |
| issn | 1757-2215 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
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| series | Journal of Ovarian Research |
| spelling | doaj-art-55f1f659bb384a668b202b2ebadb4ec72025-08-20T02:15:00ZengBMCJournal of Ovarian Research1757-22152025-02-0118111110.1186/s13048-025-01607-4The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world studyXingyu Liu0Ming Li1Yingjun Zhao2Xiaofei Jiao3Yang Yu4Ruyuan Li5Shaoqing Zeng6Jianhua Chi7Guanchen Ma8Yabing Huo9Zikun Peng10Jiahao Liu11Qi Zhou12Dongling Zou13Li Wang14Qingshui Li15Jing Wang16Shuzhong Yao17Youguo Chen18Ding Ma19Ting Hu20Qinglei Gao21Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Gynaecology and Obstetrics, Henan Provincial People’s HospitalDepartment of Gynaecology and Obstetrics, Henan Provincial People’s HospitalDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyNational Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Gynecologic Oncology, Chongqing University Cancer HospitalNational Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeDepartment of Cancer Biology Immunotherapy, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer HospitalDepartment of Gynecologic Oncology, Shandong Cancer Hospital and InstituteHunan Clinical Research Center in Gynecologic Cancer, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, ChangshaDepartment of Obstetrics and Gynecology, the First Affiliated Hospital, Sun Yat-Sen UniversityDepartment of Gynecology & Obstetrics, the First Affiliated Hospital of Soochow UniversityDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyAbstract Background To investigate the effect of preoperative immunonutritional status on prognosis in epithelial ovarian cancer patients. Methods A multicenter real-world study included 922 patients with histologically confirmed epithelial ovarian cancer who received comprehensive staged surgery or debulking surgery at seven tertiary hospitals in China between 2012 and 2023. Prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) were used to assess the immunonutritional status for their superior predictive power to indicate the nutritional status and the inflammatory immunity. Cox regression analyses were employed to identify variables associated with progression-free survival (PFS) and overall survival (OS). Results In the early-stage cohort of 224 epithelial ovarian cancer patients, the optimal cut-off value for PNI was 47.47 for both PFS and OS, while the optimal cut-off value for SII values were 551.37 for PFS and 771.78 for OS. In the late-stage group of 698 patients, the optimal PNI thresholds were 47.76 for PFS and 46.00 for OS, with SII values of 720.96 for PFS and 1686.11 for OS. In multivariate analysis of early-stage patients, high PNI was an independent protective factor for PFS (hazard ratio (HR), 0.39 (95% confidence interval (CI) 0.20–0.76), P = 0.006) and OS (HR, 0.44 (95% CI 0.20–0.97), P = 0.042), respectively. High SII was significantly associated with PFS (HR, 2.43 (95% CI 1.23–4.81), P = 0.011) and marginally unfavorable for OS (HR, 2.05 (95% CI 0.96–4.39), P = 0.064). In advanced population, PNI (HR, 0.77 (95% CI 0.60–0.99), P = 0.043) and SII (HR, 1.34 (95% CI 1.01–1.78), P = 0.041) were independent prognostic factors for OS but had no impact on PFS (P = 0.185, P = 0.188, respectively). Conclusion Poor preoperative immunonutritional status has a deleterious effect on the prognosis of patients with ovarian cancer. Intervention in patients suffering from suboptimal preoperative immunonutritional status may facilitate improved survival outcomes.https://doi.org/10.1186/s13048-025-01607-4Ovarian cancerPreoperative immunonutritional statusPrognostic nutritional indexSystemic immune-inflammation indexProgression-free survivalOverall survival |
| spellingShingle | Xingyu Liu Ming Li Yingjun Zhao Xiaofei Jiao Yang Yu Ruyuan Li Shaoqing Zeng Jianhua Chi Guanchen Ma Yabing Huo Zikun Peng Jiahao Liu Qi Zhou Dongling Zou Li Wang Qingshui Li Jing Wang Shuzhong Yao Youguo Chen Ding Ma Ting Hu Qinglei Gao The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study Journal of Ovarian Research Ovarian cancer Preoperative immunonutritional status Prognostic nutritional index Systemic immune-inflammation index Progression-free survival Overall survival |
| title | The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study |
| title_full | The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study |
| title_fullStr | The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study |
| title_full_unstemmed | The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study |
| title_short | The impact of preoperative immunonutritional status on prognosis in ovarian cancer: a multicenter real-world study |
| title_sort | impact of preoperative immunonutritional status on prognosis in ovarian cancer a multicenter real world study |
| topic | Ovarian cancer Preoperative immunonutritional status Prognostic nutritional index Systemic immune-inflammation index Progression-free survival Overall survival |
| url | https://doi.org/10.1186/s13048-025-01607-4 |
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