Evidence map›Paper›PMID 37108738›Full record

ReviewInternational journal of molecular sciences2023

Prognostic and Predictive Biomarkers in the Era of Immunotherapy for Lung Cancer.

Lucile Pabst, Sébastien Lopes, Basil Bertrand, Quentin Creusot, Maria Kotovskaya, Erwan Pencreach, Michèle Beau-Faller, Céline Mascaux

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  5. Diagnostics (Basel, Switzerland) · 2026
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  14. Epigenetic drugs in cancer therapy.Cancer metastasis reviews · 2025
    Review
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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

8 authors at 2 institutions in 1 country.

Lucile PabstPulmonology Department, University Hospital of Strasbourg, 67000 Strasbourg, France.ORCID 0000-0001-5668-4905
Sébastien LopesPharmacy Department, University Hospital of Strasbourg, 67000 Strasbourg, France.
Basil BertrandPulmonology Department, University Hospital of Strasbourg, 67000 Strasbourg, France.
Quentin CreusotPulmonology Department, University Hospital of Strasbourg, 67000 Strasbourg, France.
Maria KotovskayaPulmonology Department, University Hospital of Strasbourg, 67000 Strasbourg, France.
Erwan PencreachLaboratory Streinth (STress REsponse and INnovative THerapy against Cancer), Inserm UMR_S 1113, IRFAC, Université de Strasbourg, ITI InnoVec, 67000 Strasbourg, France.
Michèle Beau-FallerLaboratory Streinth (STress REsponse and INnovative THerapy against Cancer), Inserm UMR_S 1113, IRFAC, Université de Strasbourg, ITI InnoVec, 67000 Strasbourg, France.
Céline MascauxPulmonology Department, University Hospital of Strasbourg, 67000 Strasbourg, France.
Inserm · FRUniversité de Strasbourg · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The therapeutic algorithm of lung cancer has recently been revolutionized by the emergence of immune checkpoint inhibitors. However, an objective and durable response rate remains low with those recent therapies and some patients even experience severe adverse events. Prognostic and predictive biomarkers are therefore needed in order to select patients who will respond. Nowadays, the only validated biomarker is the PD-L1 expression, but its predictive value remains imperfect, and it does not offer any certainty of a sustained response to treatment. With recent progresses in molecular biology, genome sequencing techniques, and the understanding of the immune microenvironment of the tumor and its host, new molecular features have been highlighted. There are evidence in favor of the positive predictive value of the tumor mutational burden, as an example. From the expression of molecular interactions within tumor cells to biomarkers circulating in peripheral blood, many markers have been identified as associated with the response to immunotherapy. In this review, we would like to summarize the latest knowledge about predictive and prognostic biomarkers of immune checkpoint inhibitors efficacy in order to go further in the field of precision immuno-oncology.

Indexed as

Immune Checkpoint InhibitorsLung NeoplasmsB7-H1 AntigenBiomarkers, TumorHumansImmunotherapyPrognosisTumor MicroenvironmentB7-H1 AntigenBiomarkers, TumorImmune Checkpoint Inhibitorsimmune checkpoint inhibitorsimmunotherapypredictive biomarkersprognostic

Identifiers

PMID37108738
PMCPMC10145126
OpenAlexW4366594797

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.