Evidence map›Paper›PMID 32228719›Full record

ArticleGenome medicine2020

Burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival.

Mary A Wood, Benjamin R Weeder, Julianne K David, Abhinav Nellore, Reid F Thompson

Abstract read
In one paragraph

Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

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  14. Early kinetics of C-reactive protein as prognosticator for survival in a real-world cohort of patients with metastatic renal cell cancer under first-line therapy with immune checkpoint inhibitors.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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2 more citing papers are in PubMed but not listed here.

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.

Mary A WoodComputational Biology Program, Oregon Health & Science University, Portland, USA.
Benjamin R WeederComputational Biology Program, Oregon Health & Science University, Portland, USA.
Julianne K DavidComputational Biology Program, Oregon Health & Science University, Portland, USA.
Abhinav NelloreComputational Biology Program, Oregon Health & Science University, Portland, USA.
Reid F ThompsonComputational Biology Program, Oregon Health & Science University, Portland, USA. thompsre@ohsu.edu.

Funding

Quantifying and improving radiotherapy outcomes among VeteransIK2CX002049 · VA · PORTLAND VA MEDICAL CENTER · PI THOMPSON, REID · 2020 to 2025
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CSRD VA IK2 CX002049
6 · The paper itself

Abstract

backgroundTumor mutational burden (TMB; the quantity of aberrant nucleotide sequences a given tumor may harbor) has been associated with response to immune checkpoint inhibitor therapy and is gaining broad acceptance as a result. However, TMB harbors intrinsic variability across cancer types, and its assessment and interpretation are poorly standardized.

methodsUsing a standardized approach, we quantify the robustness of TMB as a metric and its potential as a predictor of immunotherapy response and survival among a diverse cohort of cancer patients. We also explore the additive predictive potential of RNA-derived variants and neoepitope burden, incorporating several novel metrics of immunogenic potential.

resultsWe find that TMB is a partial predictor of immunotherapy response in melanoma and non-small cell lung cancer, but not renal cell carcinoma. We find that TMB is predictive of overall survival in melanoma patients receiving immunotherapy, but not in an immunotherapy-naive population. We also find that it is an unstable metric with potentially problematic repercussions for clinical cohort classification. We finally note minimal additional predictive benefit to assessing neoepitope burden or its bulk derivatives, including RNA-derived sources of neoepitopes.

conclusionsWe find sufficient cause to suggest that the predictive clinical value of TMB should not be overstated or oversimplified. While it is readily quantified, TMB is at best a limited surrogate biomarker of immunotherapy response. The data do not support isolated use of TMB in renal cell carcinoma.

Indexed as

Mutation AccumulationAntigens, NeoplasmBiomarkers, TumorCarcinoma, Non-Small-Cell LungEpitopesHumansImmune Checkpoint InhibitorsLung NeoplasmsMelanomaAntigens, NeoplasmBiomarkers, TumorEpitopesImmune Checkpoint InhibitorsImmunotherapy responseNeoantigensNeoepitope burdenNeoepitopesRetained intronsSplice junctionsTMBTumor mutational burdenTumor variant burden

Identifiers

PMID32228719
PMCPMC7106909

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.