Evidence map›Paper›PMID 38309725›Full record

ArticleJournal for immunotherapy of cancer2024

Harmonization of tumor mutation burden testing with comprehensive genomic profiling assays: an IQN Path initiative.

Riziero Esposito Abate, Raffaella Pasquale, Alessandra Sacco, Vittorio Simeon, Monica Rosaria Maiello, Daniela Frezzetti, Paolo Chiodini, Nicola Normanno

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2024. 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
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
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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 at 3 institutions in 1 country.

Riziero Esposito AbateCell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy.
Raffaella PasqualeMedical Genetics Laboratory, AORN S.G. Moscati, Avellino, Italy.
Alessandra SaccoCell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy.
Vittorio SimeonMedical Statistics Unit, Department of Mental Health and Public Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Italy.
Monica Rosaria MaielloCell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy.
Daniela FrezzettiCell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy.
Paolo ChiodiniMedical Statistics Unit, Department of Mental Health and Public Medicine, Università degli Studi della Campania Luigi Vanvitelli, Napoli, Italy.
Nicola NormannoCell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G.Pascale, Napoli, Italy nicnorm@yahoo.com.ORCID 0000-0002-7158-2605
Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITUniversity of Campania "Luigi Vanvitelli" · ITAzienda Ospedaliera S.Giuseppe Moscati · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough conflicting results emerged from different studies, the tumor mutational burden (TMB) appears as one of most reliable biomarkers of sensitivity to immune checkpoint inhibitors. Several laboratories are reporting TMB values when performing comprehensive genomic profiling (CGP) without providing a clinical interpretation, due to the lack of validated cut-off values. The International Quality Network for Pathology launched an initiative to harmonize TMB testing with CGP assay and favor the clinical implementation of this biomarker.

methodsTMB evaluation was performed with three commercially available CGP panels, TruSight Oncology 500 (TSO500), Oncomine Comprehensive Plus Assay (OCA) and QIAseq Multimodal Panel (QIA), versus the reference assay FoundationOne CDx (F1CDx). Archived clinical samples derived from 60 patients with non-small cell lung cancer were used for TMB assessment. Adjusted cut-off values for each panel were calculated.

resultsTesting was successful for 91.7%, 100%, 96.7% and 100% of cases using F1CDx, TSO500, OCA and QIA, respectively. The matrix comparison analysis, between the F1CDx and CGP assays, showed a linear correlation for all three panels, with a higher correlation between F1CDx and TSO500 (rho=0.88) than in the other two comparisons (rho=0.77 for QIA; 0.72 for OCA). The TSO500 showed the best area under the curve (AUC, value 0.96), with a statistically significant difference when compared with the AUC of OCA (0.83, p value=0.01) and QIA (0.88, p value=0.028). The Youden Index calculation allowed us to extrapolate TMB cut-offs of the different panels corresponding to the 10 mutations/megabase (muts/Mb) cut-off of F1CDx: 10.19, 10.4 and 12.37 muts/Mb for TSO500, OCA and QIA, respectively. Using these values, we calculated the relative accuracy measures for the three panels. TSO500 showed 86% specificity and 96% sensitivity, while OCA and QIA had lower yet similar values of specificity and sensitivity (73% and 88%, respectively).

conclusionThis study estimated TMB cut-off values for commercially available CGP panels. The results showed a good performance of all panels on clinical samples and the calculated cut-offs support better accuracy measures for TSO500. The validated cut-off values can drive clinical interpretation of TMB testing in clinical research and clinical practice.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsBiomarkers, TumorGenomicsHumansMutationBiomarkers, TumorImmune Checkpoint InhibitorsImmunotherapyNon-Small Cell Lung CancerTumor Biomarkers

Identifiers

PMID38309725
PMCPMC10840060
OpenAlexW4391512518

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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.