Evidence map›Paper›PMID 37664054›Full record

ArticleFrontiers in oncology2023

Targeted panel sequencing in the routine diagnosis of mature T- and NK-cell lymphomas: report of 128 cases from two German reference centers.

Julia Böck, Katja Maurus, Elena Gerhard-Hartmann, Stephanie Brändlein, Katrin S Kurz, German Ott, Ioannis Anagnostopoulos, Andreas Rosenwald, Alberto Zamò

Abstract read
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Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Julia BöckInstitute of Pathology, University of Würzburg, Würzburg, Germany.
Katja MaurusInstitute of Pathology, University of Würzburg, Würzburg, Germany.
Elena Gerhard-HartmannInstitute of Pathology, University of Würzburg, Würzburg, Germany.
Stephanie BrändleinInstitute of Pathology, University of Würzburg, Würzburg, Germany.
Katrin S KurzDepartment of Clinical Pathology, Robert-Bosch-Hospital, and Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
German OttDepartment of Clinical Pathology, Robert-Bosch-Hospital, and Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
Ioannis AnagnostopoulosInstitute of Pathology, University of Würzburg, Würzburg, Germany.
Andreas RosenwaldInstitute of Pathology, University of Würzburg, Würzburg, Germany.
Alberto ZamòInstitute of Pathology, University of Würzburg, Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosing any of the more than 30 types of T-cell lymphomas is considered a challenging task for many pathologists and currently requires morphological expertise as well as the integration of clinical data, immunophenotype, flow cytometry and clonality analyses. Even considering all available information, some margin of doubt might remain using the current diagnostic procedures. In recent times, the genetic landscape of most T-cell lymphomas has been elucidated, showing a number of diagnostically relevant mutations. In addition, recent data indicate that some of these genetic alterations might bear prognostic and predictive value. Extensive genetic analyses, such as whole exome or large panel sequencing are still expensive and time consuming, therefore limiting their application in routine diagnostic. We therefore devoted our effort to develop a lean approach for genetic analysis of T-cell lymphomas, focusing on maximum efficiency rather than exhaustively covering all possible targets. Here we report the results generated with our small amplicon-based panel that could be used routinely on paraffin-embedded and even decalcified samples, on a single sample basis in parallel with other NGS-panels used in our routine diagnostic lab, in a relatively short time and with limited costs. We tested 128 available samples from two German reference centers as part of our routine work up (among which 116 T-cell lymphomas), which is the largest routine diagnostic series reported to date. Our results showed that this assay had a very high rate of technical success (97%) and could detect mutations in the majority (79%) of tested T-cell lymphoma samples.

Indexed as

diagnosticsFFPEmutationNGSpanel-sequencingT-cell lymphoma

Identifiers

PMID37664054
PMCPMC10468607

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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.