Evidence map›Paper›PMID 37108755›Full record

ArticleInternational journal of molecular sciences2023

Exome-Based Genomic Markers Could Improve Prediction of Checkpoint Inhibitor Efficacy Independently of Tumor Type.

Lorraine Dalens, Julie Lecuelle, Laure Favier, Cléa Fraisse, Aurélie Lagrange, Courèche Kaderbhai, Romain Boidot, Sandy Chevrier, Hugo Mananet, Valentin Derangère and 2 more

Open access · goldAbstract read
In one paragraph

Article 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

12 authors at 3 institutions in 1 country.

Lorraine DalensDepartment of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.
Julie LecuelleUFR des Sciences de Santé, University of Burgundy-Franche-Comté, 21000 Dijon, France.
Laure FavierDepartment of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.
Cléa FraisseDepartment of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.
Aurélie LagrangeDepartment of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.
Courèche KaderbhaiDepartment of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.
Romain BoidotDepartment of Biopathology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.ORCID 0000-0001-9956-1737
Sandy ChevrierDepartment of Biopathology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.
Hugo MananetUFR des Sciences de Santé, University of Burgundy-Franche-Comté, 21000 Dijon, France.
Valentin DerangèreUFR des Sciences de Santé, University of Burgundy-Franche-Comté, 21000 Dijon, France.
Caroline TruntzerUFR des Sciences de Santé, University of Burgundy-Franche-Comté, 21000 Dijon, France.ORCID 0000-0003-0895-4813
François GhiringhelliDepartment of Medical Oncology, Georges François Leclerc Cancer Center-UNICANCER, 21000 Dijon, France.ORCID 0000-0002-5465-8305
Centre Georges François Leclerc · FRInserm · FRUniversité de Bourgogne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have improved the care of patients in multiple cancer types. However, PD-L1 status, high Tumor Mutational Burden (TMB), and mismatch repair deficiency are the only validated biomarkers of efficacy for ICIs. These markers remain imperfect, and new predictive markers represent an unmet medical need. Whole-exome sequencing was carried out on 154 metastatic or locally advanced cancers from different tumor types treated by immunotherapy. Clinical and genomic features were investigated using Cox regression models to explore their capacity to predict progression-free survival (PFS). The cohort was split into training and validation sets to assess validity of observations. Two predictive models were estimated using clinical and exome-derived variables, respectively. Stage at diagnosis, surgery before immunotherapy, number of lines before immunotherapy, pleuroperitoneal, bone or lung metastasis, and immune-related toxicity were selected to generate a clinical score.

Indexed as

Antineoplastic Agents, ImmunologicalCarcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenBiomarkers, TumorExomeGenomicsHumansImmunotherapyMutationAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, Tumorbiomarkersexome sequencingimmunotherapyTCRTMB

Identifiers

PMID37108755
PMCPMC10144126
OpenAlexW4366771989

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.