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The Kinetic Changes of Systemic Inflammatory Factors during Bevacizumab Treatment and Its Prognostic Role in Advanced Non-small Cell Lung Cancer Patients
- Source :
- Journal of Cancer
- Publication Year :
- 2019
- Publisher :
- Ivyspring International Publisher, 2019.
-
Abstract
- Background: Bevacizumab combined with chemotherapy is still one of the standard options for treatment of advanced non-small cell lung cancer (NSCLC) patients without driver mutations. Serum inflammatory factors, representing the systemic immune status, are shown to have complicated relationships with tumor angiogenesis, and proved to be associated with survival of advanced NSCLC patients. However, the information from the baseline factors is relatively limited, which cannot reflect the dynamic changes of systemic immune status during bevacizumab treatment. We, thus, attempted to evaluate longitudinal kinetics of systemic inflammatory factors during treatment of bevacizumab and to explore their predictive role in treatment response and patient outcomes in advanced NSCLC. Method: Systemic inflammatory factors (neutrophil/lymphocyte (NLR), platelet/lymphocyte (PLR), neutrophil×platelet/lymphocyte (SII) and lymphocyte/monocyte (LMR)) and clinical variables were collected and analyzed from 161 advanced NSCLC patients treated with bevacizumab. Mixed effect regression models were first performed for longitudinal analysis of the changes of serum inflammatory factors during bevacizumab treatment. Then, univariate and multivariate Cox models were used for overall survival (OS) and progression free survival (PFS) analyses to determine the independent prognostic factors. Results: In the first 6 cycles of bevacizumab treatment, patients with complete response/partial response (CR/PR) had a -0.11, -0.066, -0.15, and 0.073 change every 2 cycles in transformed NLR (95%CI: -0.19--0.03, p=0.008), PLR (95%CI: -0.12--0.013, p=0.015), SII (95%CI: -0.23--0.05, p
- Subjects :
- 0301 basic medicine
Oncology
medicine.medical_specialty
Bevacizumab
medicine.medical_treatment
mixed effect model
survival analysis
03 medical and health sciences
0302 clinical medicine
Internal medicine
Medicine
Progression-free survival
Risk factor
Lung cancer
Survival analysis
Chemotherapy
business.industry
Proportional hazards model
prognostic factors
longitudinal changes
systemic immune status
medicine.disease
030104 developmental biology
030220 oncology & carcinogenesis
business
Progressive disease
Research Paper
medicine.drug
Subjects
Details
- ISSN :
- 18379664
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Journal of Cancer
- Accession number :
- edsair.doi.dedup.....e83393e45b68848e92e11ea8a5b35d9f
- Full Text :
- https://doi.org/10.7150/jca.30478