Evidence map›Paper›PMID 35217576›Full record

ArticleJournal for immunotherapy of cancer2022

Biological and technical factors in the assessment of blood-based tumor mutational burden (bTMB) in patients with NSCLC.

Milou Schuurbiers, Zhongyun Huang, Senglor Saelee, Manana Javey, Leonie de Visser, Daan van den Broek, Michel van den Heuvel, Alexander F Lovejoy, Kim Monkhorst, Daniel Klass

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT02894853 (Lung Cancer Early Molecular Assessment Trial), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

NCT02894853 unknown statusnot on this map

Lung Cancer Early Molecular Assessment Trial

TypeobservationalSponsorThe Netherlands Cancer InstituteRan2016 to 2019Enrolled1,297ConditionsCarcinoma, Non-Small-Cell LungArmsLiquid (blood) biopsies and tumor biopsy (optional)
3 · Its place in the literature

Who cites it

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Milou Schuurbiers *Department of Pulmonology, Radboud university medical center - Radboud Institute for Molecular Life Sciences, Nijmegen, The Netherlands.ORCID 0000-0002-0843-8897
Zhongyun Huang *Roche Sequencing Solutions, Pleasanton, California, USA.ORCID 0000-0002-7716-3604
Senglor SaeleeRoche Sequencing Solutions, Pleasanton, California, USA.
Manana JaveyRoche Sequencing Solutions, Pleasanton, California, USA.
Leonie de VisserRoche Diagnostics International AG, Rotkreuz, Zug, Switzerland.
Daan van den BroekDepartment of Laboratory Medicine, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Michel van den HeuvelDepartment of Pulmonology, Radboud university medical center - Radboud Institute for Molecular Life Sciences, Nijmegen, The Netherlands.
Alexander F LovejoyRoche Sequencing Solutions, Pleasanton, California, USA.
Kim MonkhorstDepartment of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Daniel KlassRoche Sequencing Solutions, Pleasanton, California, USA dan.klass@roche.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients treated with immunotherapy are at risk of considerable adverse events, and the ongoing struggle is to accurately identify the subset of patients who will benefit. Tumor mutational burden (TMB) has emerged as a promising predictive biomarker but requires tumor tissue which is not always available. Blood-based TMB (bTMB) may provide a minimally invasive assessment of mutational load. However, because of the required sequencing depth, bTMB analysis is costly and prone to false negative results. This study attempted to design a minimally sized bTMB panel, examined a counting-based method for bTMB in patients with stage I to IV non-small cell lung cancer (NSCLC) and evaluated both technical factors such as bTMB and tissue-based TMB (tTMB) cut-off, as well as sample-related factors such as cell-free DNA input mass which influence the correlation between bTMB and tTMB.

methodsTissue, plasma, and whole blood samples collected as part of the LEMA trial (NCT02894853) were used in this study. Samples of 185 treatment naïve patients with stage I to IV NSCLC were sequenced at the Roche Sequencing Solutions with a custom panel designed for TMB, using reagents and workflows derived from the AVENIO Tumor Tissue and circulating tumor DNA Analysis Kits.

resultsA TMB panel of 1.1 Mb demonstrated highly accurate TMB high calls with a positive predictive value of 95% when using a tTMB cut-off of 16 mut/Mb, corresponding with 42 mut/Mb for bTMB. The positive per cent agreement (PPA) of bTMB was relatively low at 32%. In stage IV samples with at least 20 ng of cfDNA input, PPA of bTMB improved to 63% and minimizing the panel to a subset of 577 kb was possible while maintaining 63% PPA.

conclusionPlasma samples with high bTMB values are highly correspondent with tTMB, whereas bTMB low results may also be the result of low tumor burden at earlier stages of disease as well as poorly shedding tumors. For advanced stages of disease, PPA (sensitivity) of bTMB is satisfactory in comparison to tTMB, even when using a panel of less than 600 kb, warranting consideration of bTMB as a predictive biomarker for patients with NSCLC eligible for immunotherapy in the future.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungFemaleHumansImmunotherapyLung NeoplasmsMaleMiddle AgedMutationgenetic markersimmunotherapylung neoplasmstumor biomarkers

Identifiers

PMID35217576
PMCPMC8883268

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Registered trials

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.