Evidence map›Paper›PMID 41497171›Full record

ReviewInternational journal of general medicine2025

DNA Methylation in Lung Cancer: Predictive Biomarkers for Effective Immunotherapy.

Komal Kumari, Vinay Kumar, Chaitenya Verma, Ping-Ching Hsu, Amarnath Singh

Abstract readReview
In one paragraph

Review in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Komal KumariDepartment of Biotechnology, Central University of South Bihar, Gaya, BR, 824236, India.
Vinay KumarHeart and Vascular Institute, Pennsylvania State University, Hershey Medical Center, Hershey, PA, 17033, USA.ORCID 0000-0002-6751-5741
Chaitenya VermaDepartment of Biotechnology, Sharda University, Greater Noida, UP, 201310, India.ORCID 0000-0001-5723-6346
Ping-Ching HsuDepartment of Environmental Health Sciences, Fay W.Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.ORCID 0000-0002-1749-0662
Amarnath SinghDepartment of Environmental Health Sciences, Fay W.Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.ORCID 0000-0003-1762-6686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer remains a leading cause of cancer-related mortality worldwide, and immunotherapy has emerged as a promising treatment modality. However, its efficacy is limited to a subset of patients, necessitating predictive biomarkers for personalized treatment strategies. DNA methylation (DNAm) is increasingly recognized as a crucial regulators of gene expression and immune responses in the tumor microenvironment. This review focuses on DNAm as a key epigenetic biomarker for predicting and enhancing immunotherapy efficacy in lung cancer. We highlight DNAm changes in key immune-related genes and their association with tumor phenotype, immune cell infiltration, and response to immune checkpoint inhibitors (ICIs). The review also evaluates established and emerging genomic and non-genomic biomarkers, including tumor mutational burden (TMB), microsatellite instability (MSI), PD-L1 expression, tumor-infiltrating lymphocytes (TILs), and immunosuppressive cytokines in case of lung cancer immunotherapy. Furthermore, the potential for integrated epigenetic signatures and minimally invasive diagnostic approaches, such as liquid biopsies, is discussed. Finally, we address the challenges and future directions for translating epigenetic biomarkers into clinical practice to improve immunotherapy outcomes and reduce immune-related adverse events.

Indexed as

epigenetic biomarkersimmunotherapymicrosatellite instabilitytumor-infiltrating lymphocytestumor microenvironmenttumor mutational burden

Identifiers

PMID41497171
PMCPMC12766027

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.