Evidence map›Paper›PMID 40353818›Full record

ReviewClinical cancer research : an official journal of the American Association for Cancer Research2025

Of Context, Quality, and Complexity: Fine-Combing Tumor Mutational Burden in Immunotherapy-Treated Cancers.

Noushin Niknafs, Mimi Najjar, Colum Dennehy, Ioannis Stouras, Valsamo Anagnostou

Abstract readReview
In one paragraph

Review in Clinical cancer research : an official journal of the American Association for Cancer Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

5 authors.

Noushin Niknafs *The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-4852-3674
Mimi Najjar *The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0009-0007-4609-2157
Colum DennehyThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-9251-7856
Ioannis StourasThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-7113-2631
Valsamo AnagnostouThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-9480-3047

Funding

ECOG-ACRIN Thoracic Malignancies Integrated Translational Science CenterUG1CA233259 · NCI · EMORY UNIVERSITY · PI CARBONE, DAVID P., LEAL, TICIANA · 2019 to 2025
$5.1M
Large-Scale Genetic Analyses of Human CancerR01CA121113 · NCI · JOHNS HOPKINS UNIVERSITY · PI ANAGNOSTOU, VALSAMO, VELCULESCU, VICTOR E. · 2006 to 2022
$4.3M
Cancer Research Institute (CRI)ECOG-ACRIN Cancer Research Group (ECOG-ACRIN) UG1CA233259National Institutes of Health (NIH) CA121113NCI NIH HHS L30 CA110990NCI NIH HHS R01 CA121113NCI NIH HHS UG1 CA233259
6 · The paper itself

Abstract

Tumor mutational burden (TMB) is considered a prototypic feature of tumor foreignness and has been established as a tumor-agnostic FDA-approved biomarker at a threshold of 10 mut/Mb for immune checkpoint inhibitors (ICI). Despite its clinical utility as a companion diagnostic for ICI across cancers, a high TMB does not consistently predict response due to technical and biological limitations. Tumor heterogeneity and purity, blood versus tissue sampling, variation in next-generation sequencing, and algorithmic evaluation attenuate the predictive value of TMB. In addition to technical standardization and moving beyond TMB as a numeric or binarized value, it is of paramount importance to consider the underlying biology and the differential contribution of mutation subsets to tumor foreignness and immunogenicity. The importance of consideration of mutations within the overall TMB that are unlikely to be immunoedited together with the density of immunogenic "quality" mutation-associated neoantigens introduces the concept of biological calibration of TMB that may enhance its clinical utility. Mutagenic processes such as microsatellite instability and ultra-mutation and cancer lineage-dependent co-mutation patterns also represent biological modifiers that enable the interpretation of the overall TMB in different contexts. In this perspective, we dissect TMB on a biological and technical level, followed by a critical assessment of the predictive role of TMB in capturing ICI response in the setting of clinical trials across human cancers. The standardization of technical methodologies, together with the interpretation of TMB on the basis of the tumor genomic landscape, represents key steps toward maximizing the predictive value of TMB for cancer immunotherapy.

Indexed as

Biomarkers, TumorImmune Checkpoint InhibitorsImmunotherapyMutationNeoplasmsHigh-Throughput Nucleotide SequencingHumansBiomarkers, TumorImmune Checkpoint Inhibitors

Identifiers

PMID40353818
PMCPMC12263337

What OpenQuestion holds

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Registered trials

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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.