Evidence map›Paper›PMID 41191235›Full record

ArticleInternational journal of clinical oncology2025

Lung immune prognostic index as a biomarker for predicting the benefit of immune checkpoint inhibitor plus chemotherapy in older patients with non-small cell lung cancer: a secondary analysis of the NEJ057 study.

Takehiro Tozuka, Yoko Tsukita, Kohei Kushiro, Shinobu Hosokawa, Hitomi Nogawa, Satoshi Arai, Sayo Soda, Daisuke Arai, Kei Takamura, Ryoichi Honda and 13 more

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Article in International journal of clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

23 authors.

Takehiro TozukaDepartment of Pulmonary Medicine and Oncology, Graduate School of Medicine, Nippon Medical School, Bunkyo-ku, Tokyo, Japan.
Yoko TsukitaDepartment of Respiratory Medicine, Tohoku University Hospital, Aoba-ku, Sendai, Japan.
Kohei KushiroDepartment of Respiratory Medicine and Infectious Diseases, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Shinobu HosokawaDepartment of Respiratory Medicine, Japanese Red Cross Okayama Hospital, Okayama, Japan.
Hitomi NogawaDepartment of Respiratory Medicine, Yamagata Prefectural Central Hospital, Yamagata, Japan.
Satoshi AraiDivision of Pulmonary Medicine, Department of Medicine, Jichi Medical University, Tochigi, Japan.
Sayo SodaDepartment of Respiratory Medicine and Clinical Immunology, Dokkyo Medical University, Tochigi, Japan.
Daisuke AraiDepartment of Internal Medicine, Saiseikai Utsunomiya Hospital, Utsunomiya, Japan.
Kei TakamuraDepartment of Respiratory Medicine, Obihiro-Kosei General Hospital, Hokkaido, Japan.
Ryoichi HondaDepartment of Respiratory Medicine, Asahi General Hospital, Asahi, Chiba, Japan.
Kosuke HamaiDepartment of Respiratory Medicine, Hiroshima Prefectural Hospital, Hiroshima, Japan.
Yukiko NambaDepartment of Respiratory Medicine, Juntendo University Urayasu Hospital, Chiba, Japan.
Yasutaka KawaiDepartment of Respiratory Medicine, Oji General Hospital, Tomakomai, Japan.
Takashi KikuchiDepartment of Respiratory Medicine, Iwate Prefecture Isawa Hospital, Oshu, Japan.
Kensuke NakazawaDepartment of Respiratory Medicine, University of Tsukuba Hospital, Tsukuba, Japan.
Takayuki HondaDepartment of Respiratory Medicine, Institute of Science Tokyo, Tokyo, Japan.
Noriyuki EbiDepartment of Respiratory Medicine, Fukuoka University Hospital, Fukuoka, Japan.
Yutaka YamadaDivision of Respiratory Medicine, Ibaraki Prefectural Central Hospital, Kasama, Japan.
Tomonori MakiguchiDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Masahiro SeikeDepartment of Pulmonary Medicine and Oncology, Graduate School of Medicine, Nippon Medical School, Bunkyo-ku, Tokyo, Japan.
Satoshi MoritaDepartment of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Kunihiko KobayashiDepartment of Respiratory Medicine, Comprehensive Cancer Center, Saitama Medical University International Medical Center, Saitama, Japan.
Hajime AsahinaDepartment of Respiratory Medicine, Hokkaido University Graduate School of Medicine, North 15, West 7, Kita-ku, Sapporo, Japan. asahinah@pop.med.hokudai.ac.jp.ORCID http://orcid.org/0000-0002-7126-3153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe survival benefit of combining chemotherapy (chemo) with immune checkpoint inhibitors (ICIs) in older patients with advanced non-small cell lung cancer (NSCLC) remains unclear. We evaluated the lung immune prognostic index (LIPI) as a predictive biomarker in this NEJ057 secondary analysis.

methodsThis analysis included 600 patients aged ≥ 75 years with NSCLC and a programmed death-ligand 1 (PD-L1) tumor proportion score (TPS) ≥ 1% enrolled in the NEJ057 study. LIPI was categorized as good, intermediate, or poor based on derived neutrophil-to-lymphocyte ratio and lactate dehydrogenase levels. Overall survival (OS) and progression-free survival (PFS) were assessed using Kaplan-Meier analysis and multivariate Cox proportional hazards models. Subgroup analyses focused on patients with a PD-L1 TPS of 1-49% and intermediate/poor LIPI to evaluate predictive factors for ICI-chemo benefit.

resultsThe survival outcomes of ICI-chemo and ICI-alone varied across different patient characteristics, with LIPI identified as a predictive biomarker. Among patients with a PD-L1 TPS of 1-49% and intermediate/poor LIPI scores, ICI-chemo was associated with significantly longer OS (median: 18.3 months [95% confidence interval {CI} 10.7-26.7] vs. 8.6 months [95% CI 4.5-12.4], p = 0.007; hazard ratio [HR]: 0.56 [95% CI 0.36-0.86]) and PFS (median: 7.8 months [95% CI 6.2-9.7] vs. 3.3 months [95% CI 1.5-5.0], p = 0.002; HR: 0.56 [95% CI 0.39-0.81]) compared with ICI-alone. No significant survival benefit was observed in patients with a PD-L1 TPS of ≥ 50% or good LIPI scores.

conclusionsLIPI is a useful biomarker for guiding treatment decisions in older patients with NSCLC and a PD-L1 TPS of 1-49%, particularly those with intermediate/poor LIPI scores. Its application might facilitate establishing more personalized strategies and improve outcomes.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsLung NeoplasmsAgedAged, 80 and overB7-H1 AntigenFemaleHumansMaleNeutrophilsPrognosisProgression-Free SurvivalB7-H1 AntigenBiomarkers, TumorCD274 protein, humanImmune Checkpoint InhibitorsImmune checkpoint inhibitorsLung immune prognostic indexNon-small cell lung cancerOlder patients

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.