Evidence map›Paper›PMID 35131864›Full record

ArticleJournal for immunotherapy of cancer2022

CD8

Boris Duchemann, Marie Naigeon, Edouard Auclin, Roberto Ferrara, Lydie Cassard, Jean-Mehdi Jouniaux, Lisa Boselli, Jonathan Grivel, Aude Desnoyer, François-Xavier Danlos and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
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  5. The Prognostic Value of the CD8Hematology reports · 2026
    Article
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  16. The peripheral CD4Translational cancer research · 2024
    Article
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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 at 7 institutions in 3 countries.

Boris DuchemannLaboratoire d'Immunomonitoring en Oncologie, INSERM US23, CNRS UMS 3655, Gustave Roussy, Villejuif, Île-de-France, France.ORCID 0000-0003-0872-2983
Marie NaigeonLaboratoire d'Immunomonitoring en Oncologie, INSERM US23, CNRS UMS 3655, Gustave Roussy, Villejuif, Île-de-France, France.
Edouard AuclinDepartment of Oncology, Hôpital Européen Georges Pompidou Cancérologie, Paris, France.
Roberto FerraraDepartment of Medical Oncology, Thoracic Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Lombardia, Italy.
Lydie CassardLaboratoire d'Immunomonitoring en Oncologie, INSERM US23, CNRS UMS 3655, Gustave Roussy, Villejuif, Île-de-France, France.
Jean-Mehdi JouniauxLaboratoire d'Immunomonitoring en Oncologie, INSERM US23, CNRS UMS 3655, Gustave Roussy, Villejuif, Île-de-France, France.
Lisa BoselliLaboratoire d'Immunomonitoring en Oncologie, INSERM US23, CNRS UMS 3655, Gustave Roussy, Villejuif, Île-de-France, France.
Jonathan GrivelLaboratoire d'Immunomonitoring en Oncologie, INSERM US23, CNRS UMS 3655, Gustave Roussy, Villejuif, Île-de-France, France.
Aude DesnoyerLaboratoire d'Immunomonitoring en Oncologie, INSERM US23, CNRS UMS 3655, Gustave Roussy, Villejuif, Île-de-France, France.
François-Xavier DanlosLRTI, INSERM U1015, Gustave Roussy, Villejuif, France.
Laura MezquitaMedical Oncology Department, Hospital Clinic de Barcelona, Barcelona, Spain.ORCID 0000-0003-0936-7338
Caroline CaramellaDepartment of Radiology, Groupe hospitalier Paris Saint-Joseph, Paris, Île-de-France, France.
Aurelien MarabelleLRTI, INSERM U1015, Gustave Roussy, Villejuif, Île-de-France, France.ORCID 0000-0002-5816-3019
Benjamin BesseFaculté de Médecine, Université Paris-Saclay, Le Kremlin-Bicêtre, Île-de-France, France.
Nathalie ChaputLaboratoire d'Immunomonitoring en Oncologie, INSERM US23, CNRS UMS 3655, Gustave Roussy, Villejuif, Île-de-France, France nathalie.chaput@gustaveroussy.fr.ORCID 0000-0003-3968-8669
Centre National de la Recherche Scientifique · FRInserm · FRFondazione IRCCS Istituto Nazionale dei Tumori · ITHôpital Européen Georges-Pompidou · FRHôpital Paris Saint-Joseph · FRHospital Clínic de Barcelona · ESUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgrammed cell death protein-1 (PD-1) expression has been associated with activation and exhaustion of both the CD4 and CD8 populations in advanced non-small cell lung cancer (aNSCLC). Nevertheless, the impact of the balance between circulating CD8

methodsThe CD8

resultsIn the discovery cohort (N=75), the PERLS cut-off was 1.91, and 11% of patients were PERLS+. PERLS + correlated significantly with median progression-free survival (PFS) of 9.63 months (95% CI 7.82 to not reached (NR)) versus 2.69 months (95% CI 1.81 to 5.52; p=0.03). In an independent validation cohort (N=36), median PFS was NR (95% CI 7.9 to NR) versus 2.00 months (95% CI 1.3 to 4.5; p=0.04) for PERLS + and PERLS-, respectively; overall survival (OS) followed a similar but non-significant trend. In the pooled cohort (N=111), PERLS + correlated significantly with PFS and OS. PERLS did not correlate with outcome in the polychemotherapy cohort. PERLS did not correlate with clinical characteristics but was significantly associated with baseline circulating naïve CD4

conclusionsElevated PERLS, determined from a blood sample before immunotherapy, was correlated with benefit from PD-(L)1 blockers in aNSCLC.

Indexed as

AgedCarcinoma, Non-Small-Cell LungCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesFemaleHumansImmune Checkpoint InhibitorsLung NeoplasmsMaleMiddle AgedPrognosisProgression-Free SurvivalProspective StudiesImmune Checkpoint InhibitorsbiomarkersCD4-CD8 ratioimmunotherapylung neoplasmstumor

Identifiers

PMID35131864
PMCPMC8823243
OpenAlexW4210884643

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.