Evidence map›Paper›PMID 36326821›Full record

ArticleGenes, chromosomes & cancer2023

Development and validation of blood tumor mutational burden reference standards.

Eun-Ang Raiber-Moreau, Guillem Portella, Matthew G Butler, Omoshile Clement, Yves Konigshofer, James Hadfield

Open access · hybridAbstract read
In one paragraph

Article in Genes, chromosomes & cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 3 institutions in 4 countries.

Eun-Ang Raiber-MoreauPrecision Medicine and Biosamples, Diagnostic Development Unit, AstraZeneca, Cambridge, UK.
Guillem PortellaPrecision Medicine and Biosamples, Diagnostic Science Unit, AstraZeneca, Cambridge, UK.
Matthew G ButlerLGC Clinical Diagnostics Inc., Gaithersburg, Maryland, USA.
Omoshile ClementLGC Clinical Diagnostics Inc., Gaithersburg, Maryland, USA.
Yves KonigshoferLGC Clinical Diagnostics Inc., Gaithersburg, Maryland, USA.
James HadfieldTranslational Medicine, AstraZeneca, Cambridge, UK.
LKC Technologies (United States) · USAstraZeneca (United Kingdom) · GBAstraZeneca (Singapore) · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor mutational burden (TMB), measured by exome or panel sequencing of tumor tissue or blood (bTMB), is a potential predictive biomarker for treatment benefit in patients with various cancer types receiving immunotherapy targeting checkpoint pathways. However, significant variability in TMB measurement has been observed. We developed contrived bTMB reference materials using DNA from tumor cell lines and donor-matched lymphoblastoid cell lines to support calibration and alignment across laboratories and platforms. Contrived bTMB reference materials were developed using genomic DNA from lung tumor cell lines blended into donor-matched lymphoblastoid cell lines at 0.5% and 2% tumor content, fragmented and size-selected to mirror the size profile of circulating cell-free tumor DNA with TMB scores of 7, 9, 20, and 26 mut/Mb. Variant allele frequency (VAF) and bTMB scores were assessed using PredicineATLAS and GuardantOMNI next-generation sequencing assays. DNA fragment sizes in the contrived reference samples were similar to those found within patient plasma-derived cell-free DNA, and mutational patterns aligned with those in the parental tumor lines. For the 7, 20, and 26 mut/Mb contrived reference samples with 2% tumor content, bTMB scores estimated using either assay aligned with expected scores from the parental tumor cell lines and showed good reproducibility. A bioinformatic filtration step was required to account for low-VAF artifact variants. We demonstrate the feasibility and challenges of producing and using bTMB reference standards across a range of bTMB levels, and how such standards could support the calibration and validation of bTMB platforms and help harmonization between panels and laboratories.

Indexed as

Lung NeoplasmsNeoplasmsBiomarkers, TumorHumansImmunotherapyMutationReproducibility of ResultsBiomarkers, Tumorgenetic markersimmunotherapytranslational medical researchtumor biomarkers

Identifiers

PMID36326821
PMCPMC10107199
OpenAlexW4308056480

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.