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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F18%3A10383572" target="_blank" >RIV/00216208:11130/18:10383572 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14110/18:00105799 RIV/00216208:11140/18:10383572 RIV/00216208:11150/18:10383572 RIV/61989592:15110/18:73590150 and 5 more
Result on the web
<a href="http://dx.doi.org/10.21873/anticanres.13048" target="_blank" >http://dx.doi.org/10.21873/anticanres.13048</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21873/anticanres.13048" target="_blank" >10.21873/anticanres.13048</a>

Result language
angličtina
Original language name
Chronic Inflammation as a Potential Predictive Factor of Nivolumab Therapy in Non-small Cell Lung Cancer
Original language description
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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30203 - Respiratory systems

Project
<a href="/en/project/NV17-30748A" target="_blank" >NV17-30748A: A new approach by combination of functional imaging and tumor genomics for non-invasive phenotyping and monitoring of therapy of lung carcinomas</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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