Cancer Control (Nov 2024)

Factors Influencing Immunotherapy Outcomes in Cancer: Sarcopenia and Systemic Inflammation

  • Enes Ucgul MD,
  • Deniz Can Guven MD,
  • Aybala Nur Ucgul MD,
  • Yakup Ozbay MD,
  • Mehmet Ruhi Onur MD,
  • Serkan Akin MD

DOI
https://doi.org/10.1177/10732748241302248
Journal volume & issue
Vol. 31

Abstract

Read online

Background Immunotherapy has shown promise in treating various subtypes of metastatic cancers, but many patients are frail and may have compromised immune systems, which can influence treatment outcomes. Sarcopenia, a condition characterized by loss of muscle mass and systemic inflammation, is a potential factor that may negatively impact the response to immunotherapy. However, more data must be collected on the extent of its influence. Therefore, this study aims to investigate the effects of sarcopenia, systemic inflammation, and Eastern Cooperative Oncology Group Performance Status (ECOG PS) on the response to immunotherapy. Methods We enrolled 100 patients treated with immune checkpoint inhibitors between 2015 and 2021 who underwent computed tomography of the abdomen before the first immunotherapy dose. This study was conducted retrospectively. Gender-specific thresholds were used for the diagnosis of sarcopenia. C-reactive protein (CRP), erythrocyte sedimentation rate, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), albumin, and lactate dehydrogenase (LDH) were used as markers of systemic inflammation. Systemic inflammatory markers and sarcopenia were assessed using univariable and multivariable analyses for overall survival (OS) and progression-free survival (PFS). Results Sarcopenia was found to be a significant prognostic factor associated with poor PFS (HR, 2.33; 95% confidence interval [CI], 1.45-3.74; P < 0.001). In addition, hypoalbuminemia was identified as a significant prognostic factor for predicting OS (HR, 2.10; 95% CI, 1.21-3.66; P = 0.008). Conclusions Closer monitoring and prevention of sarcopenia may enhance both OS and PFS. Additionally, our composite model may assist oncologists in predicting responses to immunotherapy more accurately. However, further prospective studies are needed to validate these findings.