Work

106P PLR-NIVO: A novel AI-assisted prognostic score in nivolumab-treated metastatic NSCLC

Year: 2026

Type: article

Abstract: The efficacy of immune checkpoint inhibitors varies considerably among patients due to clinical and biological heterogeneity. This study aimed to evaluate the prognostic value of a novel, practical scoring system, the PLR-NIVO score, developed using an artificial intelligence–assisted approach for predicting progression-free survival (PFS) in patients with non-small cell lung cancer (NSCLC) treated with nivolumab in the second-line setting.

Source: ESMO Open

DOI: 10.1016/j.esmoop.2026.106413

Authors: B. Karabuga, M. Büyükkör, E. Konca Karabuga, C. Karacin

Institutions: Ankara Onkoloji Eğitim ve Araştırma Hastanesi, Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital, Ankara Etlik City Hospital

Language: English

Topic: Cancer Immunotherapy and Biomarkers

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,910