Evidence map›Paper›PMID 29327044›Full record

ArticleJAMA oncology2018

Association of the Lung Immune Prognostic Index With Immune Checkpoint Inhibitor Outcomes in Patients With Advanced Non-Small Cell Lung Cancer.

Laura Mezquita, Edouard Auclin, Roberto Ferrara, Melinda Charrier, Jordi Remon, David Planchard, Santiago Ponce, Luis Paz Ares, Laura Leroy, Clarisse Audigier-Valette and 12 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in JAMA oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 598 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
598citing papers in PubMed, 6 pooled it
36.3field-weighted citation impact, top 1% of its field
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

598 citing papers in PubMed, 6 syntheses or guidelines pooled it, 934 citations in OpenAlex.

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  16. Prognostic Value of the Lung Immune Prognostic Index in Metastatic Renal Cell Carcinoma Treated With Second-Line Immunotherapy.International journal of urology : official journal of the Japanese Urological Association · 2026
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  17. Observational
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538 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 13 institutions in 2 countries.

Laura MezquitaMedical Oncology Department, Gustave Roussy, Villejuif, France.
Edouard AuclinMedical and Gastrointestinal Oncology Department, Hôpital Européen Georges Pompidou, Paris, France.
Roberto FerraraMedical Oncology Department, Gustave Roussy, Villejuif, France.
Melinda CharrierLaboratory of Immunomonitoring in Oncology, UMS 3655 CNRS/US 23 INSERM, Gustave Roussy, Villejuif, France.
Jordi RemonMedical Oncology Department, Gustave Roussy, Villejuif, France.
David PlanchardMedical Oncology Department, Gustave Roussy, Villejuif, France.
Santiago PonceMedical Oncology Department, Hospital 12 de Octubre, Madrid, Spain.
Luis Paz AresMedical Oncology Department, Hospital 12 de Octubre, Madrid, Spain.
Laura LeroyMedical Oncology Department, Institut Bergonie, Bordeaux, France.
Clarisse Audigier-ValettePneumology Department, Centre Hospitalier Toulon Sainte-Musse, Toulon, France.
Enriqueta FelipMedical Oncology Department, Hospital Vall d'Hebron, Barcelona, Spain.
Jorge Zerón-MedinaMedical Oncology Department, Hospital Vall d'Hebron, Barcelona, Spain.
Pilar GarridoMedical Oncology Department, Hospital Ramón y Cajal, Madrid, Spain.
Solenn BrosseauThoracic Oncology Department, CIC1425/CLIP2 Paris-Nord, Hôpital Bichat-Claude Bernard, Paris, France.
Gérard ZalcmanThoracic Oncology Department, CIC1425/CLIP2 Paris-Nord, Hôpital Bichat-Claude Bernard, Paris, France.
Julien MazieresMedical Oncology Department, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.
Caroline CaramelaRadiology Department, Gustave Roussy, Villejuif, France.
Jihene LahmarMedical Oncology Department, Gustave Roussy, Villejuif, France.
Julien AdamPathology Department, Gustave Roussy, Villejuif, France.
Nathalie ChaputLaboratory of Immunomonitoring in Oncology, UMS 3655 CNRS/US 23 INSERM, Gustave Roussy, Villejuif, France.
Jean Charles SoriaDrug Development Department, Gustave Roussy, Villejuif, France.
Benjamin BesseMedical Oncology Department, Gustave Roussy, Villejuif, France.
Institut Gustave Roussy · FRResearch Institute Hospital 12 de Octubre · ESVall d'Hebron Hospital Universitari · ESCentre Hospitalier Intercommunal Toulon-La Seyne-sur-Mer · FRCentre Hospitalier Universitaire de Toulouse · FRCentre National de la Recherche Scientifique · FRHôpital Bichat-Claude-Bernard · FRHôpital Européen · FRHospital Universitario Ramón y Cajal · ESInserm · FRInstitut Bergonié · FRUniversité Claude Bernard Lyon 1 · FRUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceDerived neutrophils/(leukocytes minus neutrophils) ratio (dNLR) and lactate dehydrogenase (LDH) level have been correlated with immune checkpoint inhibitor (ICI) outcomes in patients with melanoma.

objectiveTo determine whether pretreatment dNLR and LDH are associated with resistance to ICIs in patients with advanced non-small cell lung cancer (NSCLC). DESIGN, SETTING, AND

participantsMulticenter retrospective study with a test (n = 161) and a validation set (n = 305) treated with programmed death 1/programmed death ligand 1 (PD-1/PD-L1) inhibitors in 8 European centers, and a control cohort (n = 162) treated with chemotherapy only. Complete blood cell counts, LDH, and albumin levels were measured before ICI treatment. A lung immune prognostic index (LIPI) based on dNLR greater than 3 and LDH greater than upper limit of normal (ULN) was developed, characterizing 3 groups (good, 0 factors; intermediate, 1 factor; poor, 2 factors). MAIN OUTCOMES AND MEASURES: The primary end point was overall survival (OS). Secondary end points were progression-free survival (PFS) and disease control rate (DCR).

resultsIn the pooled ICI cohort (N = 466), 301 patients (65%) were male, 422 (90%) were current or former smokers, and 401 (87%) had performance status of 1 or less; median age at diagnosis was 62 (range, 29-86) years; 270 (58%) had adenocarcinoma and 159 (34%) had squamous histologic subtype. Among 129 patients with PD-L1 data, 96 (74%) had PD-L1 of at least 1% by immunohistochemical analysis, and 33 (26%) had negative results. In the test cohort, median PFS and OS were 3 (95% CI, 2-4) and 10 (95% CI, 8-13) months, respectively. A dNLR greater than 3 and LDH greater than ULN were independently associated with OS (hazard ratio [HR] 2.22; 95% CI, 1.23-4.01 and HR, 2.51; 95% CI, 1.32-4.76, respectively). Median OS for poor, intermediate, and good LIPI was 3 months (95% CI, 1 month to not reached [NR]), 10 months (95% CI, 8 months to NR), and 34 months (95% CI, 17 months to NR), respectively, and median PFS was 2.0 (95% CI, 1.7-4.0), 3.7 (95% CI, 3.0-4.8), and 6.3 (95% CI, 5.0-8.0) months (both P < .001). Disease control rate was also correlated with dNLR greater than 3 and LDH greater than ULN. Results were reproducible in the ICI validation cohort for OS, PFS, and DCR, but were nonsignificant in the chemotherapy cohort. CONCLUSIONS AND RELEVANCE: Pretreatment LIPI, combining dNLR greater than 3 and LDH greater than ULN, was correlated with worse outcomes for ICI, but not for chemotherapy, suggesting that LIPI can serve as a potentially useful tool when selecting ICI treatment, raising the hypothesis that the LIPI might be useful for identifying patients unlikely to benefit from treatment with an ICI.

Indexed as

Biomarkers, TumorAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungCell Cycle CheckpointsDisease ProgressionFemaleHealth Status IndicatorsHumansLungLung NeoplasmsMaleMiddle AgedPrognosisProtein Kinase InhibitorsBiomarkers, TumorProtein Kinase Inhibitors

Identifiers

PMID29327044
PMCPMC5885829
OpenAlexW2784283849

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.