Evidence map›Paper›PMID 34607351›Full record

ArticleBlood advances2021

Molecular diagnosis of T-cell lymphoma: a correlative study of PCR-based T-cell clonality assessment and targeted NGS.

Charlotte Syrykh, Pauline Gorez, Sarah Péricart, David Grand, Frédéric Escudié, Bastien Cabarrou, Lucie Obéric, Loïc Ysebaert, Laurence Lamant, Camille Laurent and 2 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Diagnostic and prognostic molecular pathology of lymphoid malignancies.Virchows Archiv : an international journal of pathology · 2024
    Review
  6. Article
  7. Review
  8. 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

12 authors at 3 institutions in 1 country.

Charlotte SyrykhPathology Department, Institut Universitaire du Cancer-Oncopole, CHU Toulouse, Labex TOUCAN, Toulouse, France.ORCID 0000-0002-3201-6109
Pauline GorezPathology Department, Institut Universitaire du Cancer-Oncopole, CHU Toulouse, Labex TOUCAN, Toulouse, France.
Sarah PéricartPathology Department, Institut Universitaire du Cancer-Oncopole, CHU Toulouse, Labex TOUCAN, Toulouse, France.
David GrandPathology Department, Institut Universitaire du Cancer-Oncopole, CHU Toulouse, Labex TOUCAN, Toulouse, France.
Frédéric EscudiéPathology Department, Institut Universitaire du Cancer-Oncopole, CHU Toulouse, Labex TOUCAN, Toulouse, France.
Bastien CabarrouBiostatistics Department, Institut Claudius Regaud, Institut Universitaire du Cancer-Oncopole, Toulouse, France.
Lucie ObéricHematology Department, Institut Universitaire du Cancer-Oncopole, Toulouse, France; and.ORCID 0000-0002-0039-1983
Loïc YsebaertHematology Department, Institut Universitaire du Cancer-Oncopole, Toulouse, France; and.
Laurence LamantPathology Department, Institut Universitaire du Cancer-Oncopole, CHU Toulouse, Labex TOUCAN, Toulouse, France.
Camille LaurentPathology Department, Institut Universitaire du Cancer-Oncopole, CHU Toulouse, Labex TOUCAN, Toulouse, France.
Solène M EvrardPathology Department, Institut Universitaire du Cancer-Oncopole, CHU Toulouse, Labex TOUCAN, Toulouse, France.ORCID 0000-0001-9669-8316
Pierre BroussetPathology Department, Institut Universitaire du Cancer-Oncopole, CHU Toulouse, Labex TOUCAN, Toulouse, France.ORCID 0000-0002-8629-3291
Institut universitaire du cancer de Toulouse Oncopole · FRUniversité Toulouse III - Paul Sabatier · FRInstitut Claudius Regaud · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunomorphological diagnosis of T-cell lymphoma (TCL) may be challenging, especially on needle biopsies. Multiplex polymerase chain reaction (PCR) assays to assess T-cell receptor (TCR) gene rearrangements are now widely used to detect T-cell clones and provide diagnostic support. However, PCR assays detect only 80% of TCL, and clonal lymphocyte populations may also appear in nonneoplastic conditions. More recently, targeted next-generation sequencing (t-NGS) technologies have been deployed to improve lymphoma classification. To the best of our knowledge, the comparison of these techniques' performance in TCL diagnosis has not been reported yet. In this study, 82 TCL samples and 25 nonneoplastic T-cell infiltrates were divided into 2 cohorts (test and validation) and analyzed with both multiplex PCR and t-NGS to investigate TCR gene rearrangements and somatic mutations, respectively. The detection of mutations appeared to be more specific (100.0%) than T-cell clonality assessment (41.7%-45.5%), whereas no differences were observed in terms of sensitivity (95.1%-97.4%). Furthermore, t-NGS provided a reliable basis for TCL diagnosis in samples with partially degraded DNA that was impossible to assess with PCR. Finally, although multiplex PCR assays appeared to be less specific than t-NGS, both techniques remain complementary, as PCR recovered some t-NGS negative cases.

Indexed as

Lymphoma, T-CellT-LymphocytesHigh-Throughput Nucleotide SequencingHumansPolymerase Chain ReactionReceptors, Antigen, T-CellReceptors, Antigen, T-Cell

Identifiers

PMID34607351
PMCPMC8759123
OpenAlexW3201925221

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.