Detailed Information on Publication Record
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.