Evidence map›Paper›PMID 34462324›Full record

ReviewJournal for immunotherapy of cancer2021

Assessing tumor heterogeneity: integrating tissue and circulating tumor DNA (ctDNA) analysis in the era of immuno-oncology - blood TMB is not the same as tissue TMB.

Stanislav Fridland, Jaeyoun Choi, Myungwoo Nam, Samuel Joseph Schellenberg, Eugene Kim, Grace Lee, Nathaniel Yoon, Young Kwang Chae

Abstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
  2. Trial
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  5. Review
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  7. Immune biomarkers for head and neck cancer.Cancer immunology, immunotherapy : CII · 2025
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  11. Article
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  16. Observational
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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

8 authors.

Stanislav FridlandNorthwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0001-7200-7154
Jaeyoun ChoiNorthwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Myungwoo NamNorthwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Samuel Joseph SchellenbergNorthwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Eugene KimNorthwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Grace LeeNorthwestern University, Evanston, Illinois, USA.
Nathaniel YoonNorthwestern University, Evanston, Illinois, USA.
Young Kwang ChaeNorthwestern University Feinberg School of Medicine, Chicago, Illinois, USA young.chae@northwestern.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue tumor mutational burden (tTMB) is calculated to aid in cancer treatment selection. High tTMB predicts a favorable response to immunotherapy in patients with non-small cell lung cancer. Blood TMB (bTMB) from circulating tumor DNA is reported to have similar predictive power and has been proposed as an alternative to tTMB. Across many studies not only are tTMB and bTMB not concordant but also as reported previously by our group predict conflicting outcomes. This implies that bTMB is not a substitute for tTMB, but rather a composite index that may encompass tumor heterogeneity. Here, we provide a thorough overview of the predictive power of TMB, discuss the use of tumor heterogeneity alongside TMB to predict treatment response and review several methods of tumor heterogeneity assessment. Furthermore, we propose a hypothetical method of estimating tumor heterogeneity and touch on its clinical implications.

Indexed as

Biomarkers, TumorCirculating Tumor DNAFemaleGenetic HeterogeneityHumansMaleTumor BurdenBiomarkers, TumorCirculating Tumor DNAbiomarkersimmunotherapytumortumor biomarkers

Identifiers

PMID34462324
PMCPMC8407207

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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.