Evidence map›Paper›PMID 28303495›Full record

ReviewCurrent oncology reports2017

Genetic Landscape and Classification of Peripheral T Cell Lymphomas.

Rosalind F Sandell, Rebecca L Boddicker, Andrew L Feldman

Abstract readReview
In one paragraph

Review in Current oncology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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  16. Targeted massively parallel sequencing of mature lymphoid neoplasms: assessment of empirical application and diagnostic utility in routine clinical practice.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
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  17. 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

3 authors.

Rosalind F SandellDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Rebecca L BoddickerDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Andrew L FeldmanDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. feldman.andrew@mayo.edu.

Funding

Genetic Biomarkers for Risk Assessment of Peripheral T-Cell LymphomasR01CA177734 · NCI · MAYO CLINIC ROCHESTER · PI FELDMAN, ANDREW LEWIS · 2013 to 2017
$1.6M
NCI NIH HHS R01 CA177734
6 · The paper itself

Abstract

purpose of reviewPeripheral T cell lymphomas (PTCLs) are markedly heterogeneous at the clinical, pathological, and molecular levels. This review will discuss genetic findings in PTCL with special emphasis on how they impact lymphoma classification. RECENT

findingsSequencing studies have identified recurrent genetic alterations in nearly every PTCL subtype. In anaplastic large cell lymphoma, these studies have revealed novel chromosomal rearrangements and mutations that have prognostic significance and may suggest new therapeutic approaches. Angioimmunoblastic T cell lymphoma has been found to have mutations overlapping some cases of PTCL, not otherwise specified with a T follicular helper cell phenotype. Across various subtypes, recurrent mutations and structural alterations affecting genes involved in epigenetic regulation, T cell receptor signaling, and immune response may represent targets for precision therapy approaches. New genetic findings are refining the classification of PTCLs and are beginning to be used clinically for diagnosis, risk stratification, and individualized therapy.

Indexed as

Epigenesis, GeneticHumansLymphoma, T-Cell, PeripheralMutationPrognosisAnaplastic large cell lymphomaAngioimmunoblastic T cell lymphomaExtranodal NK/T cell lymphomaMolecular geneticsPeripheral T cell lymphoma

Identifiers

PMID28303495
PMCPMC5517131

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Registered trials

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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.