Evidence map›Paper›PMID 35602225›Full record

ArticleCommunications medicine2021

Pan-cancer analysis of the effect of biopsy site on tumor mutational burden observations.

Simon Papillon-Cavanagh, Julia F Hopkins, Shakti H Ramkissoon, Lee A Albacker, Alice M Walsh

Abstract read
In one paragraph

Article in Communications medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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.

Simon Papillon-CavanaghInformatics and Predictive Sciences, Bristol-Myers Squibb Co, Princeton, NJ USA.ORCID 0000-0002-0372-2266
Julia F HopkinsFoundation Medicine, Inc., Cambridge, MA USA.
Shakti H RamkissoonFoundation Medicine, Inc., Cambridge, MA USA.
Lee A AlbackerFoundation Medicine, Inc., Cambridge, MA USA.ORCID 0000-0002-5070-1783
Alice M WalshInformatics and Predictive Sciences, Bristol-Myers Squibb Co, Princeton, NJ USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tumor mutational burden (TMB) has been proposed as a predictive biomarker of response to immunotherapy. Efforts to standardize TMB scores for use in the clinic and to identify the factors that could impact TMB scores are of high importance. However, the biopsy collection site has not been assessed as a factor that may influence TMB scores. Methods: We examine a real-world cohort comprising 137,771 specimens across 47 tissues in 12 indications profiled by the FoundationOne assay (Foundation Medicine, Cambridge, MA) to assess the prevalence of biopsy sites for each indication and their TMB scores distribution. Results: We observe a wide variety of biopsy sites from which specimens are sent for genomic testing and show that TMB scores differ in a cancer- and tissue-specific manner. For example, brain or adrenal gland specimens from NSCLC patients show higher TMB scores than local lung specimens (mean difference 3.31 mut/Mb; Conclusions: Our data shed light on the biopsied tissue as a driver of TMB measurement variability in clinical practice.

Indexed as

Cancer genomicsGenetic databasesPredictive markersTumour biomarkers

Identifiers

PMID35602225
PMCPMC9053207

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.