Literature DB >> 34714458

The prognostic value of the preoperative lung immune prognostic index in patients with urothelial bladder cancer undergoing radical cystectomy.

Koki Obayashi1, Jun Miki2, Wataru Fukuokaya2, Takafumi Yanagisawa2, Shoji Kimura2, Shunsuke Tsuzuki2, Takahiro Kimura2, Shin Egawa2.   

Abstract

BACKGROUND: The lung immune prognostic index (LIPI) predicts the prognosis of patients with advanced non-small-cell lung cancer and is a prognostic biomarker for renal cell carcinoma and melanoma; however, no study has evaluated its potential as a preoperative biomarker for patients with bladder cancer (BC). We investigated the LIPI as a preoperative prognostic biomarker in patients undergoing radical cystectomy.
METHODS: We retrospectively analyzed the clinical records of 105 patients with BC who underwent radical cystectomy from January 2013 to June 2019. The LIPI was evaluated based on the preoperatively derived neutrophil-lymphocyte ratio and the lactate dehydrogenase levels. Inverse probability of treatment weighting (IPTW)-adjusted Kaplan-Meier curves and decision curve analysis (DCA) were performed to assess the disease-free survival (DFS), cancer-specific survival (CSS), and overall survival (OS) rates.
RESULTS: The patients were classified into the good, intermediate, and poor LIPI groups [71 (67.6%), 28 (26.7%), and 6 (5.7%) patients, respectively]. IPTW-adjusted Kaplan-Meier curve analyses showed that patients with intermediate to poor LIPI had worse DFS, CSS, and OS rates than those with good LIPI. The LIPI combined with pT3/4 and lymph node metastasis could better assess the prognosis of DFS at 24 months postoperatively by DCA.
CONCLUSION: The preoperative LIPI can predict the prognosis of patients with BC undergoing radical cystectomy and has a better predictive ability when combined with pT3/4 and lymph node metastasis.
© 2021. Japan Society of Clinical Oncology.

Entities:  

Keywords:  Bladder cancer; Inverse probability of treatment weighting; Lung immune prognostic index; Radical cystectomy; dNLR

Mesh:

Year:  2021        PMID: 34714458     DOI: 10.1007/s10147-021-02059-8

Source DB:  PubMed          Journal:  Int J Clin Oncol        ISSN: 1341-9625            Impact factor:   3.402


  4 in total

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