Evidence map›Paper›PMID 33307194›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2021

A Gene Mutation Signature Predicting Immunotherapy Benefits in Patients With NSCLC.

Dong Pan, Angela Y Hu, Scott J Antonia, Chuan-Yuan Li

Open access · greenAbstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
2.8field-weighted citation impact, top 7% 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

41 citing papers in PubMed, 61 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Dong PanDepartment of Dermatology, Duke University Medical Center, Durham, North Carolina.
Angela Y HuDepartment of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.
Scott J AntoniaDepartment of Medicine, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina.
Chuan-Yuan LiDepartment of Dermatology, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina; Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina. Electronic address: chuan.li@duke.edu.
Duke Medical Center · US

Funding

Targeting apoptotic caspases to enhance cancer radiotherapyR01CA216876 · NCI · DUKE UNIVERSITY · PI LI, FANG · 2018 to 2022
$2.3M
Necroptotic genes in cancer cellular response to radiationR01CA208852 · NCI · DUKE UNIVERSITY · PI LI, FANG · 2017 to 2021
$2.2M
NCI NIH HHS R01 CA208852NCI NIH HHS R01 CA216876
6 · The paper itself

Abstract

introductionIdentification of patients who can benefit from immune checkpoint blockade (ICB) therapy is key for improved clinical outcome. Recently, U.S. Food and Drug Administration approved tumor mutational burden (TMB) high (TMB-H or TMB ≥ 10) as a biomarker for pembrolizumab treatment of solid tumors. We intend to test the hypothesis that mutations in select genes may be a better predictor of NSCLC response to ICB therapy than TMB-H.

methodsWe compiled a list of candidate genes that may predict for benefits from ICB treatment by use of data from a recently published cohort of 350 patients with NSCLC. We then evaluated the influences of different mutation signatures in the candidate genes on ICB efficacy. They were also compared with TMB-H. The predictive powers of different mutation signatures were then evaluated in an independent cohort of patients with NSCLC treated with ICB.

resultsA compound mutation signature, in which two or more of the 52 candidate genes were mutated, accounted for 145 of 350 patients with NSCLC and was associated with considerable ICB treatment benefits. Specifically, the median duration of overall survival was 36 versus 8 months in NSCLC in those with two or more versus none of the 52 genes mutated. Moreover, those patients with the compound mutation signature but had low TMB (<10) achieved significant overall survival benefits when compared with those without the signature but had TMB-H (≥10). Finally, in an independent cohort of 156 patients with ICB-treated NSCLC, the median duration of progression-free survival was 8.3 months versus 3.5 months in those with the compound mutation signature versus those with none mutated in the 52 genes.

conclusionsA genetic signature with mutations in at least two of 52 candidate genes was superior than TMB-H in predicting clinical benefits for ICB therapy in patients with NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkers, TumorHumansImmunotherapyMutationBiomarkers, TumorGene mutation signatureImmunotherapyNSCLCPredictive biomarkerTumor mutational load

Identifiers

PMID33307194
PMCPMC7920921
OpenAlexW3110799778

What OpenQuestion holds

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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.