Literature DB >> 35093916

Platelet-to-Lymphocyte Ratio Predicts the Efficacy of Pembrolizumab in Patients With Urothelial Carcinoma.

Ryo Kurashina1, Kiyohiro Ando2, Masaharu Inoue1, Keita Izumi1, Riko Maruyama1, Kouki Mitani1, Hisanori Takenobu3, Masayuki Haruta3, Toshihiko Iizuka4, Takehiko Kamijo3, Yukio Kageyama1.   

Abstract

BACKGROUND/AIM: This study aimed to determine useful predictive factors for selecting patients with advanced urothelial carcinoma (UC) who might benefit clinically from treatment with pembrolizumab. PATIENTS AND METHODS: We retrospectively analyzed 54 patients who underwent pembrolizumab treatment for UC. The hemoglobin, albumin, lymphocyte and platelet (HALP) score, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were calculated as indices of systemic inflammatory response, and the relationships between these scores and the initial tumor response or overall survival, as well as other clinicopathological factors, were assessed.
RESULTS: High NLR and PLR were associated with a poor initial tumor response to pembrolizumab. A HALP score <30.05 and a PLR ≥173.73 were associated with worse overall survival. In the multivariate Cox regression analysis, a high PLR was a significant independent prognostic factor for unfavorable outcomes.
CONCLUSION: A high pretreatment PLR may be a valuable indicator for choosing therapy other than pembrolizumab in patients with advanced UC.
Copyright © 2022 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Pembrolizumab; platelet-to-lymphocyte ratio; urothelial carcinoma

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Year:  2022        PMID: 35093916     DOI: 10.21873/anticanres.15576

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  1 in total

1.  Upregulation of Cartilage Oligomeric Matrix Protein Predicts Poor Prognosis in Urothelial Carcinoma.

Authors:  Jhih-Cheng Lu; Chien-Feng Li; Yu-Hsuan Kuo; Hong-Yue Lai; Ti-Chun Chan; Chung-Hsi Hsing; Steven K Huang; Kun-Lin Hsieh; Tzu-Ju Chen; Wan-Shan Li
Journal:  Onco Targets Ther       Date:  2022-06-30       Impact factor: 4.345

  1 in total

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