Literature DB >> 27566683

The Glasgow Prognostic Score (GPS) is a novel prognostic indicator in advanced epithelial ovarian cancer: a multicenter retrospective study.

Jiayu Zhu1, Hua Wang2,3,4, Cheng-Cheng Liu5,6, Yue Lu7,5,6, Hailin Tang8,9,10.   

Abstract

PURPOSE: The Glasgow Prognostic Score (GPS), an inflammation-based prognostic score systems composed of C-reactive protein and albumin, has been reported to be predictive of survival in several types of malignancies. The prognostic significance of GPS in epithelial ovarian cancer (EOC) remains unclear. We conducted this study to assess the prognostic value of GPS in a cohort of patients with advanced EOC receiving neoadjuvant chemotherapy (NAC) followed by debulking surgery.
METHODS: Six hundred and seventy-two patients newly diagnosed with advanced EOC were retrospectively analyzed.
RESULTS: High GPS was significantly related to Eastern Cooperative Group performance status, histological type, histological grade and the size of residual tumor after the debulking surgery. In addition, patients with higher GPS at diagnosis achieved lower complete remission rates after NAC (P < 0.05) and had shorter progression-free survival (PFS; P < 0.001) and overall survival (OS; P < 0.001). Multivariate analysis showed high GPS was independent adverse predictors of PFS and OS.
CONCLUSIONS: Our data demonstrated that GPS at diagnosis is a powerful independent prognostic factor for advanced epithelial ovarian cancer. However, further studies are needed to prospectively validate this prognostic model and investigate the mechanisms underlying the correlation between high GPS and poor prognosis in advanced epithelial ovarian cancer.

Entities:  

Keywords:  Epithelial ovarian cancer; Glasgow Prognostic Score; Neoadjuvant chemotherapy; Prognosis

Mesh:

Substances:

Year:  2016        PMID: 27566683     DOI: 10.1007/s00432-016-2228-y

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  30 in total

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  15 in total

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