Evidence map›Paper›PMID 41367575›Full record

ArticleTranslational lung cancer research2025

Selecting optimal immunotherapy based on inflammation in stage IV PD-L1 ≥50% gene mutation-negative non-small cell lung cancer: pembrolizumab monotherapy versus combination chemoimmunotherapy.

Yusuke Kunimatsu, Naoya Nishioka, Tadaaki Yamada, Hayato Kawachi, Motohiro Tamiya, Yoshiki Negi, Yasuhiro Goto, Akira Nakao, Shinsuke Shiotsu, Keiko Tanimura and 10 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Yusuke Kunimatsu *Department of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Naoya Nishioka *Department of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Tadaaki YamadaDepartment of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID https://orcid.org/0000-0002-6945-281X
Hayato KawachiDepartment of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Motohiro TamiyaDepartment of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan.
Yoshiki NegiDepartment of Respiratory Medicine and Hematology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan.
Yasuhiro GotoDepartment of Respiratory Medicine, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Akira NakaoDepartment of Respiratory Medicine, Fukuoka University Hospital, Nanakuma, Fukuoka, Japan.
Shinsuke ShiotsuDepartment of Respiratory Medicine, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan.
Keiko TanimuraDepartment of Respiratory Medicine, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan.
Takayuki TakedaDepartment of Respiratory Medicine, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan.
Asuka OkadaDepartment of Respiratory Medicine, Saiseikai Suita Hospital, Suita, Osaka, Japan.
Taishi HaradaDepartment of Medical Oncology, Fukuchiyama City Hospital, Fukuchiyama, Kyoto, Japan.
Koji DateDepartment of Pulmonary Medicine, Kyoto Chubu Medical Center, Nantan, Kyoto, Japan.
Yusuke ChiharaDepartment of Respiratory Medicine, Uji-Tokushukai Medical Center, Uji, Kyoto, Japan.
Isao HasegawaDepartment of Respiratory Medicine, Saiseikai Shigaken Hospital, Rittou, Shiga, Japan.
Nobuyo TamiyaDepartment of Respiratory Medicine, Rakuwakai Otowa Hospital, Kyoto, Japan.
Masaki IshidaDepartment of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Takashi KijimaDepartment of Respiratory Medicine and Hematology, School of Medicine, Hyogo Medical University, Nishinomiya, Hyogo, Japan.
Koichi TakayamaDepartment of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic inflammation may reduce the efficacy of immunotherapy. For advanced non-small cell lung cancer (NSCLC) with programmed death-ligand 1 (PD-L1) expression ≥50% and without driver gene mutations, both immunotherapy monotherapy and combination chemoimmunotherapy are considered standard treatment options; however, it remains unclear which treatment is more appropriate depending on the degree of inflammation. This study investigated the impact of inflammation on the effectiveness of pembrolizumab monotherapy versus combination chemoimmunotherapy. Methods: In this retrospective multicenter cohort study, we included patients with advanced NSCLC from 13 Japanese institutions who received pembrolizumab monotherapy or combination chemoimmunotherapy as first-line treatment between March 2017 and October 2021. The systemic immune-inflammation index (SII) was used as an inflammation marker, with a cutoff value of 1,444 based on previous data. Patients were classified into high (SII ≥1,444) and low (SII <1,444) inflammation groups. Results: This study included 347 patients with advanced NSCLC: 212 (61.1%) in the pembrolizumab group and 135 (38.9%) in the combination chemoimmunotherapy group. In the high inflammation population, there were no significant differences in progression-free survival (PFS) and overall survival (OS) between the pembrolizumab and combination chemoimmunotherapy groups. In the low inflammation population, PFS and OS were significantly improved in the combination chemoimmunotherapy group compared to the pembrolizumab group [median PFS: 8.8 Conclusions: In patients with advanced, driver gene mutation-negative NSCLC, high PD-L1 expression (≥50%), and low systemic inflammation, combination chemoimmunotherapy significantly improved PFS and OS compared to pembrolizumab monotherapy.

Indexed as

immunotherapyinflammatory indexNon-small cell lung cancer (NSCLC)programmed death-ligand 1 expression (PD-L1 expression)systemic immune-inflammation index (SII)

Identifiers

PMID41367575
PMCPMC12683408

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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.