scholarly journals Impact of Sarcopenia and Inflammation on Patients with Advanced Non-Small Cell Lung Cancer (NCSCL) Treated with Immune Checkpoint Inhibitors (ICIs): A Prospective Study

Cancers ◽  
2021 ◽  
Vol 13 (24) ◽  
pp. 6355
Author(s):  
Marta Tenuta ◽  
Alain Gelibter ◽  
Carla Pandozzi ◽  
Grazia Sirgiovanni ◽  
Federica Campolo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Skeletal Muscle ◽  
Small Cell Lung Cancer ◽  
Muscle Mass ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Skeletal Muscle Mass ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung

Background: Sarcopenia is a condition characterized by loss of skeletal muscle mass associated with worse clinical outcomes in cancer patients. Data on sarcopenia in patients undergoing immune checkpoint inhibitors (ICI) therapy are still limited. The aim of this prospective observational study was to investigate the relationship between sarcopenia, ICI treatment response and immunological profile, in patients with advanced non-small cell lung cancer (NSCLC). Methods: Forty-seven stage IV NSCLC patient candidates for starting ICI, were enrolled from the Policlinico Umberto I outpatient Oncology. Patients underwent baseline blood test, inflammatory markers, cytokine assessment and body composition with dual-energy X-ray absorptiometry (DXA). Sarcopenia was defined with appendicular skeletal muscle mass over height2 (ASM/heigh2). Results: Overall, 19/47 patients (40.4%) results were sarcopenic. Sarcopenic patients showed significantly shorter PFS than non-sarcopenic ones (20.3 weeks, 95% CI 7.5–33.1 vs. 61 weeks, 95% CI 22.5–99.4, p = 0.047). Specifically, they had an 8.1 times higher risk of progression disease (PD) than non-sarcopenic patients (OR 8.1, 95%, p = 0.011). Conclusions: Sarcopenic patients showed worse PFS and had a higher risk of PD compared to non-sarcopenic ones. Therefore, sarcopenia may reflect the increased metabolic activity of more aggressive tumors, which involves systemic inflammation and muscle wasting and could be considered a negative predictive factor for ICI response.

scholarly journals P09.25 Role of Immune Checkpoint Inhibitors (ICPi) in KRAS-Mutated Non-Small Cell Lung Cancer (NSCLC)

2021 ◽  
Vol 16 (3) ◽  
pp. S300-S301
Author(s):  
M. Peravali ◽  
C. Gomes-Lima ◽  
E. Tefera ◽  
M. Baker ◽  
M. Sherchan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung

scholarly journals Development of nomogram based on immune-related gene FGFR4 for advanced non-small cell lung cancer patients with sensitivity to immune checkpoint inhibitors

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Li Wang ◽  
Zhixuan Ren ◽  
Bentong Yu ◽  
Jian Tang
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Advanced Nsclc ◽  
Cancer Genomics ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients

Abstract Introduction Immune checkpoint inhibitors (ICIs) have become a frontier in the field of clinical technology for advanced non-small cell lung cancer (NSCLC). Currently, the predictive biomarker of ICIs mainly including the expression of PD-L1, TMB, TIICs, MMR and MSI-H. However, there are no official biomarkers to guide the treatment of ICIs and to determine the prognosis. Therefore, it is essential to explore a systematic nomogram to predict the prognosis of ICIs treatment in NSCLC Methods In this work, we obtained gene expression and clinical data of NSCLC patients from the TCGA database. Immune-related genes (IRGs) were downloaded from the ImmPort database. The detailed clinical annotation and response data of 240 advanced NSCLC patients who received ICIs treatment were obtained from the cBioPortal for Cancer Genomics. Kaplan–Meier survival analysis was used to perform survival analyses, and selected clinical variables to develop a novel nomogram. The prognostic significance of FGFR4 was validated by another cohort in cBioPortal for Cancer Genomics. Results 3% of the NSCLC patients harbored FGFR4 mutations. The mutation of FGFR4 were confirmed to be associated with PD-L1, and TMB. Patients harbored FGFR4 mutations were found to have a better prolonged progression-free survival (PFS) to ICIs treatment (FGFR4: P = 0.0209). Here, we built and verified a novel nomogram to predict the prognosis of ICIs treatment for NSCLC patients. Conclusion Our results showed that FGFR4 could serve as novel biomarkers to predict the prognosis of ICIs treatment of advanced NSCLC. Our systematic prognostic nomogram showed a great potential to predict the prognosis of ICIs for advanced NSCLC patients.

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