Evidence map›Paper›PMID 40541864›Full record

ArticleAnnals of oncology : official journal of the European Society for Medical Oncology2025

DNA methyltransferase 3A (DNMT3A) mutations and PD-(L)1 blockade efficacy in non-small-cell lung cancer.

B Ricciuti, S Scalera, X Wang, A Elkrief, M Tagliamento, E Gariazzo, F Paoloni, P G Miller, F Pecci, A Di Federico and 17 more

Abstract read
In one paragraph

Article in Annals of oncology : official journal of the European Society for Medical Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

27 authors.

B RicciutiLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA. Electronic address: biagio_ricciuti@dfci.harvard.edu.
S ScaleraClinical Trial Center, Biostatistics and Bioinformatics Division, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
X WangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston.
A ElkriefDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA.
M TagliamentoGustave Roussy Cancer Center, Villejuif, France.
E GariazzoLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
F PaoloniDepartment of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
P G MillerCenter for Cancer Research and Center for Regenerative Medicine, Massachusetts General Hospital, Boston.
F PecciLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
A Di FedericoLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
V SantoLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
J V AlessiLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
M AldeaLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
E GarboLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
G LambertiLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.
W ZrafiGustave Roussy Cancer Center, Villejuif, France.
J B MicolGustave Roussy Cancer Center, Villejuif, France.
L M ShollDepartment of Pathology; Brigham and Women's Hospital, Boston, USA.
M NishinoDepartment of Radiology, Brigham and Women's Hospital, Boston, USA.
F CappuzzoClinical Trial Center, Biostatistics and Bioinformatics Division, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
N CalonaciDepartment of Mathematics and Geosciences, University of Trieste, Trieste.
G CaravagnaDepartment of Mathematics and Geosciences, University of Trieste, Trieste.
R FerraraMedical Oncology, Università Vita-Salute San Raffaele, Milan, Italy.
B BesseGustave Roussy Cancer Center, Villejuif, France.
A SchoenfeldDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA.
M Maugeri-SaccaClinical Trial Center, Biostatistics and Bioinformatics Division, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
M M AwadLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Human leukocyte antigen and immune response in non-small cell lung cancer: A multi-omics approachK99CA297010 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Xinan Wang · 2025 to 2026
$248k
NCI NIH HHS K99 CA297010NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundDespite significant improvements in overall survival with programmed cell death protein (ligand) 1 [PD-(L)1] inhibition, most patients with metastatic non-small-cell lung cancer (NSCLC) do not respond to immune checkpoint inhibition (ICI). Growing evidence suggests the importance of genomic alterations in modulating anticancer immune response and predicting ICI efficacy. However, the genomic correlates of response to ICI in NSCLC are largely unknown.

designPatients with advanced NSCLC treated with ICI and comprehensive genomic profiling from multiple independent cohorts were included. Beta-binomial modelling of sequencing read counts was used to infer mutation clonality. NSCLC samples from Cancer Genome Atlas Program (TCGA) and NSCLC cell lines from Cancer Cell Lines Encyclopedia (CCLE) were used for transcriptomic analyses.

resultsAmong 1539 NSCLCs, we identified deleterious DNA methyltransferase 3A (DNMT3A) mutations in 4.7% of cases. Patients with DNMT3A-mutant NSCLC had improved response rate (41.7% versus 21.5%, P < 0.001), progression-free survival [hazard ratio (HR) 0.61, P < 0.001], and overall survival (HR 0.66, P < 0.01) with PD-(L)1 blockade, compared with DNMT3A wild-type cases. DNMT3A mutations had no impact on OS among patients with advanced NSCLC who did not receive ICI (HR 0.88, P = 0.41). In examining the impact of DNMT3A clonality on immunotherapy outcomes to account for potential clonal hematopoiesis of indeterminate potential contamination, we confirmed that clonal DNMT3A mutations were associated with improved outcomes compared with DNMT3A wild-type cases. In NSCLC cell lines with pathogenic DNMT3A mutations, DNMT3A RNA and protein expression were decreased. In the TCGA, NSCLCs with high versus low DNMT3A expression exhibited lowered expression of pathways involved in innate and adaptive immune response, including interferon-γ (INFγ), major histocompatibility complex (MHC)-II antigen presentation, tumor necrosis factor-α (TNF-α), and PD-1 signaling.

conclusionSomatic DNMT3A mutations can be detected in a fraction of NSCLCs and are associated with a decreased DNMT3A expression and a favorable immunophenotype, and predict improved ICI efficacy.

Indexed as

B7-H1 AntigenCarcinoma, Non-Small-Cell LungDNA (Cytosine-5-)-MethyltransferasesImmune Checkpoint InhibitorsLung NeoplasmsAgedBiomarkers, TumorCell Line, TumorDNA Methyltransferase 3AFemaleHumansMaleMiddle AgedMutationProgression-Free SurvivalB7-H1 AntigenBiomarkers, TumorCD274 protein, humanDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3ADNMT3A protein, humanImmune Checkpoint Inhibitorscomprehensive tumor genomic profilingDNMT3A mutationsnon-small-cell lung cancer (NSCLC)PD-(L)1 inhibitionpredictive biomarkers in immunotherapy response

Identifiers

PMID40541864
PMCPMC12740342

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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.