Evidence map›Paper›PMID 26408334›Full record

ReviewAmerican journal of hematology2016

A three-signal model of T-cell lymphoma pathogenesis.

Ryan A Wilcox

Open access · bronzeAbstract readReview
In one paragraph

Review in American journal of hematology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

54 citing papers in PubMed, 73 citations in OpenAlex.

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  13. T-Cell Prolymphocytic Leukemia: Diagnosis, Pathogenesis, and Treatment.International journal of molecular sciences · 2023
    Review
  14. Article
  15. Cutaneous Lymphoma and Antibody-Directed Therapies.Antibodies (Basel, Switzerland) · 2023
    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

1 author at 1 institution in 1 country.

Ryan A WilcoxDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.
University of Michigan–Ann Arbor · US

Funding

The role of GATA-3 in T-cell lymphomasK08CA172215 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILCOX, RYAN A · 2013 to 2017
$893k
NCI NIH HHS K08 CA172215NCI NIH HHS K08CA172215
6 · The paper itself

Abstract

T-cell lymphoma pathogenesis and classification have, until recently, remained enigmatic. Recently performed whole-exome sequencing and gene-expression profiling studies have significant implications for their classification and treatment. Recurrent genetic modifications in antigen ("signal 1"), costimulatory ("signal 2"), or cytokine receptors ("signal 3"), and the tyrosine kinases and other signaling proteins they activate, have emerged as important therapeutic targets in these lymphomas. Many of these genetic modifications do not function in a cell-autonomous manner, but require the provision of ligand(s) by constituents of the tumor microenvironment, further supporting the long-appreciated view that these lymphomas are dependent upon and driven by their microenvironment. Therefore, the seemingly disparate fields of genomics and immunology are converging. A unifying "3 signal model" for T-cell lymphoma pathogenesis that integrates these findings will be presented, and its therapeutic implications briefly reviewed.

Indexed as

Genes, T-Cell ReceptorTumor MicroenvironmentAntineoplastic AgentsCD28 AntigensCytokinesHumansInducible T-Cell Co-Stimulator ProteinLymphoma, T-CellMolecular Targeted TherapyReceptors, OX40Signal TransductionAntineoplastic AgentsCD28 AntigensCytokinesICOS protein, humanInducible T-Cell Co-Stimulator ProteinReceptors, OX40TNFRSF4 protein, human

Identifiers

PMID26408334
PMCPMC4715594
OpenAlexW2127022704

What OpenQuestion holds

Textmetadata
LicenceTDM
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.