NDLI: The preoperative prognostic nutritional index is a predictive and prognostic factor of high-grade serous ovarian cancer

Content Provider	Springer Nature : BioMed Central
Author	Feng, Zheng Wen, Hao Ju, Xingzhu Bi, Rui Chen, Xiaojun Yang, Wentao Wu, Xiaohua
Abstract	Background The aim of our study was to investigate whether an inflammation-based prognostic score, the prognostic nutritional index (PNI), was associated with clinical characteristics and prognosis in patients with high-grade serous ovarian cancer (HGSC). Methods We retrospectively investigated 875 patients who underwent primary staging or debulking surgery for HGSC between April 2005 and June 2013 at our institution. None of these patients received neoadjuvant chemotherapy. Preoperative PNI was calculated as serum albumin (g/L) + 0.005 × lymphocyte count (per mm3). The optimal PNI cutoff value for overall survival (OS) was identified using the online tool “Cutoff Finder”. Clinical characteristics and PNI were compared with chi-square or Fisher’s exact tests, as appropriate. The impact of PNI on OS was analyzed using the Kaplan–Meier method and Cox proportional hazards model. Results The median (range) PNI was 46.2 (29.2–67.7). The 45.45 cutoff value discriminated patients into the high-PNI and low-PNI groups. A low preoperative PNI was associated with an advanced FIGO stage, increased CA125 level, more extensive ascites, residual disease and platinum resistance. For univariate analyses, a high PNI was associated with increased OS (p < 0.001). In multivariate analyses, the PNI remained an independent predictor of OS as a continuous variable (p = 0.021) but not as dichotomized groups (p = 0.346). Conclusion Our study demonstrated that the PNI could be a predictive and prognostic parameter for HGSC.
Related Links	https://bmccancer.biomedcentral.com/counter/pdf/10.1186/s12885-018-4732-8.pdf
Ending Page	6
Page Count	6
Starting Page	1
File Format	HTM / HTML
ISSN	14712407
DOI	10.1186/s12885-018-4732-8
Journal	BMC Cancer
Issue Number	1
Volume Number	18
Language	English
Publisher	BioMed Central
Publisher Date	2018-09-10
Access Restriction	Open
Subject Keyword	Cancer Research Oncology Surgical Oncology Health Promotion and Disease Prevention Biomedicine Medicine Public Health Ovarian cancer Prognostic nutritional index Residual disease Platinum sensitivity Overall survival Medicine/Public Health
Content Type	Text
Resource Type	Article
Subject	Cancer Research Oncology Genetics
Journal Impact Factor	3.4/2023
5-Year Journal Impact Factor	3.8/2023

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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