Evidence map›Paper›PMID 41270701›Full record

ArticleESMO open2025

Impact of the Lung Immune Prognostic Index in non-small-cell lung cancer patients with PD-L1-low/negative tumors receiving chemoimmunotherapy: a real-world multicenter retrospective study.

A Yoshimura, T Takeda, K Tanimura, Y Chihara, H Kawachi, Y Yamanaka, N Tamiya, R Honda, T Yamada, K Uryu and 5 more

Abstract readMulticenter Study
In one paragraph

Article in ESMO open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

15 authors.

A YoshimuraDepartment of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan; Department of Respiratory Medicine, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan; Department of Respiratory Medicine, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan. Electronic address: aki-y@koto.kpu-m.ac.jp.
T TakedaDepartment of Respiratory Medicine, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan.
K TanimuraDepartment of Respiratory Medicine, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan.
Y ChiharaDepartment of Respiratory Medicine, Uji-Tokushukai Medical Center, Kyoto, Japan.
H KawachiDepartment of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Y YamanakaDepartment of Thoracic Oncology, Kansai Medical University Hospital, Osaka, Japan.
N TamiyaDepartment of Pulmonary Medicine, Rakuwakai Otowa Hospital, Kyoto, Japan.
R HondaDepartment of Respiratory Medicine, Asahi General Hospital, Chiba, Japan.
T YamadaDepartment of Pulmonary Medicine, Matsushita Memorial Hospital, Osaka, Japan.
K UryuDepartment of Medical Oncology, Yao Tokushukai General Hospital, Osaka, Japan.
S ShiotsuDepartment of Respiratory Medicine, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan.
H YoshiokaDepartment of Thoracic Oncology, Kansai Medical University Hospital, Osaka, Japan.
T YamadaDepartment of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
T KurataDepartment of Thoracic Oncology, Kansai Medical University Hospital, Osaka, Japan.
K 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

backgroundChemoimmunotherapy has become one of the standard first-line treatment options for advanced non-small-cell lung cancer (NSCLC) across programmed death-ligand 1 (PD-L1) strata, yet outcomes in PD-L1-low/negative disease remain suboptimal. We evaluated whether the Lung Immune Prognostic Index (LIPI) at treatment initiation has prognostic value in this subgroup. PATIENTS AND

methodsWe conducted a multicenter retrospective cohort study across nine Japanese hospitals (January 2016-September 2021). Clinical data, including results of pretreatment blood tests at first-line treatment initiation, were collected and used to categorize LIPI (good, intermediate, or poor). Endpoints were progression-free survival (PFS) and overall survival (OS). Kaplan-Meier and log-rank tests were used; prespecified multivariable Cox models were adjusted for LIPI (poor versus good/intermediate), PD-L1 tumor proportion score, Eastern Cooperative Oncology Group performance status, liver/brain metastases, treatment regimen, and age.

resultsWe analyzed 176 patients (median age 71 years: PD-L1-low, 60.8%; PD-L1-negative, 39.2%). Median PFS and OS were 7.3 months [95% confidence interval (CI) 6.4-9.0 months] and 21.5 months (95% CI 15.4-24.6 months), respectively. Poor LIPI was associated with worse outcomes than good/intermediate LIPI (PFS: 3.6 versus 9.0 months, OS: 7.8 versus 23.9 months, both P < 0.001). In multivariable models, poor LIPI remained independently prognostic [PFS: adjusted hazard ratio (HR) 2.64, 95% CI 1.66-4.21; OS: adjusted HR 2.82, 95% CI 1.73-4.61].

conclusionsIn first-line chemoimmunotherapy-treated PD-L1-low/negative NSCLC, baseline LIPI can be used to independently stratify PFS and OS and identify a subgroup with poor prognosis. LIPI may support risk stratification at first-line treatment initiation. Prospective studies are warranted to validate these findings and optimize personalized treatment approaches.

Indexed as

B7-H1 AntigenCarcinoma, Non-Small-Cell LungImmunotherapyLung NeoplasmsAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesB7-H1 AntigenCD274 protein, humanbiomarkerchemoimmunotherapyLIPIliver metastasisnon-small-cell lung cancerPD-L1-low/negative

Identifiers

PMID41270701
PMCPMC12670098

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LicenceCC BY-NC-ND
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Registered trials

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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.