Evidence map›Paper›PMID 36414693›Full record

ReviewSeminars in immunopathology2023

Immune biology of NSCLC revealed by single-cell technologies: implications for the development of biomarkers in patients treated with immunotherapy.

J Wlosik, S Fattori, P Rochigneux, A Goncalves, D Olive, A S Chretien

Abstract readReview
In one paragraph

Review in Seminars in immunopathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Lung tumor-infiltrating TScience immunology · 2023
    Article
  9. Article
  10. Review
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

6 authors.

J WlosikTeam Immunity and Cancer, Centre de Recherche en Cancérologie de Marseille (CRCM), CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University UM105, Inserm U1068, 13009, Marseille, France. julia.wlosik@inserm.fr.
S FattoriTeam Immunity and Cancer, Centre de Recherche en Cancérologie de Marseille (CRCM), CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University UM105, Inserm U1068, 13009, Marseille, France.
P RochigneuxTeam Immunity and Cancer, Centre de Recherche en Cancérologie de Marseille (CRCM), CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University UM105, Inserm U1068, 13009, Marseille, France.
A GoncalvesDepartment of Medical Oncology, Inserm U1068, Aix-Marseille University UM105, CNRS UMR7258, Institute Paoli-Calmettes, 13009, Marseille, France.
D Olive *Team Immunity and Cancer, Centre de Recherche en Cancérologie de Marseille (CRCM), CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University UM105, Inserm U1068, 13009, Marseille, France.
A S Chretien *Team Immunity and Cancer, Centre de Recherche en Cancérologie de Marseille (CRCM), CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University UM105, Inserm U1068, 13009, Marseille, France. anne-sophie.chretien@inserm.fr.ORCID 0000-0003-4685-5568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

First-line immunotherapy in non-small-cell lung cancer largely improved patients' survival. PD-L1 testing is required before immune checkpoint inhibitor initiation. However, this biomarker fails to accurately predict patients' response. On the other hand, immunotherapy exposes patients to immune-related toxicity, the mechanisms of which are still unclear. Hence, there is an unmet need to develop clinically approved predictive biomarkers to better select patients who will benefit the most from immune checkpoint inhibitors and improve risk management. Single-cell technologies provide unprecedented insight into the tumor and its microenvironment, leading to the discovery of immune cells involved in immune checkpoint inhibitor response or toxicity. In this review, we will underscore the potential of the single-cell approach to identify candidate biomarkers improving non-small-cell lung cancer patients' care.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenBiologyBiomarkersBiomarkers, TumorHumansImmune Checkpoint InhibitorsImmunotherapyTumor MicroenvironmentB7-H1 AntigenBiomarkersBiomarkers, TumorImmune Checkpoint InhibitorsImmunotherapyirAEsNSCLCPredictive biomarkersSingle-cell technologies

Identifiers

PMID36414693
PMCPMC9974692

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.