J 2018

Chronic Inflammation as a Potential Predictive Factor of Nivolumab Therapy in Non-small Cell Lung Cancer

SVATON, Martin, Milada ZEMANOVA, Jana SKŘIČKOVÁ, Lenka JAKUBÍKOVÁ, Vitezslav KOLEK et. al.

Basic information

Original name

Chronic Inflammation as a Potential Predictive Factor of Nivolumab Therapy in Non-small Cell Lung Cancer

Authors

SVATON, Martin (203 Czech Republic, guarantor), Milada ZEMANOVA (203 Czech Republic), Jana SKŘIČKOVÁ (203 Czech Republic, belonging to the institution), Lenka JAKUBÍKOVÁ (203 Czech Republic, belonging to the institution), Vitezslav KOLEK (203 Czech Republic), Juraj KULTAN (203 Czech Republic), Leona KOUBKOVA (203 Czech Republic), Alzbeta BEJCKOVA (203 Czech Republic), Frantisek SALAJKA (203 Czech Republic), Michal HRNCIARIK (203 Czech Republic), Bohuslav MELICHAR (203 Czech Republic), David VRANA (203 Czech Republic), Marek KONECNY (203 Czech Republic), Renata CHLOUPKOVÁ (203 Czech Republic, belonging to the institution) and Milos PESEK (203 Czech Republic)

Edition

Anticancer Research, Athens, International Institute of Anticancer Research, 2018, 0250-7005

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30204 Oncology

Country of publisher

Greece

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 1.935

RIV identification code

RIV/00216224:14110/18:00105799

Organization unit

Faculty of Medicine

UT WoS

000451742800023

Keywords in English

Nivolumab; non-small cell lung cancer; overall survival; progression-free survival; biomarker

Tags

International impact, Reviewed
Změněno: 10/2/2019 13:49, Soňa Böhmová

Abstract

V originále

Aim: To investigate potential associations between clinical and standard peripheral blood biomarkers and clinical outcome in patients with non-small cell lung cancer (NSCLC) treated with nivolumab. Patients and Methods: A total of 120 patients with advanced NSCLC treated at seven comprehensive cancer care centers were analyzed in this national retrospective study. Survival statistics were evaluated using the Kaplan Meier method and Cox analysis. Results: Among clinical parameters, histology was significantly associated with progression free survival. Univariate Cox-proportional hazards model indicated prognostic and predictive role of a panel of laboratory parameters reflecting chronic inflammatory pattern (elevated neutrophil count, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, C-reactive protein and decrease in hemoglobin and albumin). Higher serum calcium concentration was also associated with nivolumab treatment effect. Conclusion: Tumor histology was the only clinical parameter predicting the outcome of nivolumab treatment. Among the laboratory parameters, our analysis identified a laboratory panel reflecting chronic inflammation as a potential predictive marker of nivolumab treatment.