Pretreatment clinical and hematological predictors of efficacy and immune-related adverse events in patients with advanced non-small cell lung cancer receiving first-line chemotherapy combined with immune checkpoint inhibitors
Shun Matsuura, Kensuke Kita, Kyohei Matsushita, Takumi Nagasaki, Ryo Suzuki, Yuya Yamamoto, Kotaro Yamada, Ryuuichi Nakamura, Norimichi Akiyama, Kazuki Tanaka, Naoki Koshimizu

TL;DR
This study identifies pretreatment factors that predict treatment response and side effects in lung cancer patients receiving immune therapy plus chemotherapy.
Contribution
The study identifies novel clinical and hematological predictors for treatment efficacy and immune-related adverse events in NSCLC patients.
Findings
ECOG-PS, metastases count, and biomarker levels predict progression-free survival.
ECOG-PS, metastases count, and neutrophil-to-lymphocyte ratio predict overall survival.
Patients without liver metastases have higher rates of immune-related adverse events.
Abstract
The combination of immune checkpoint inhibitors (ICI) and platinum-based chemotherapy has rapidly become the standard first-line treatment for advanced or metastatic non-small cell lung cancer (NSCLC). However, identifying reliable predictive factors of treatment response remains a significant clinical challenge. This study comprehensively analyzed pretreatment predictive factors in patients with advanced lung cancer who received first-line ICI–chemotherapy combination therapy. We retrospectively analyzed clinical data from 100 patients with advanced NSCLC who received first-line ICI–chemotherapy. Univariate and multivariate Cox proportional hazards regression analyses were used to identify prognostic factors for progression-free survival (PFS) and overall survival (OS). Univariate logistic regression analysis was used to identify factors affecting the incidence of immune-related…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCancer Immunotherapy and Biomarkers · Inflammatory Biomarkers in Disease Prognosis · Lung Cancer Diagnosis and Treatment
