Prognostic model integrating histology, systemic inflammation, and recurrence status predicts immunotherapy response in advanced non-small-cell lung cancer patients

Abstract Background Non-small-cell lung cancer (NSCLC) exhibits variable outcomes and remains a leading cause of cancer-related mortality, despite advances in immunotherapy. This study aimed to develop a prognostic model using real-world data (RWD) to stratify patients by survival outcomes and evalu...

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主要な著者:	F. V. Moiseenko, M. A. Krasavina, I. R. Agranov, E. V. Artemieva, A. P. Oganesian, A. S. Gabina, M. L. Makarkina, E. O. Elsakova, V. A. Henshtein, N. M. Volkov, V. V. Egorenkov, V. M. Moiseenko, M. Yu. Fedyanin, G. S. Kopeina, B. Zhivotovsky, A. V. Zamaraev
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2025-07-01
シリーズ:	Biology Direct
主題:	Prognostic model Non-small-cell lung cancer Immunotherapy NLR
オンライン･アクセス:	https://doi.org/10.1186/s13062-025-00674-3
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