Evidence map›Paper›PMID 28031823›Full record

ReviewJournal for immunotherapy of cancer2016

Challenges and opportunities for checkpoint blockade in T-cell lymphoproliferative disorders.

Tycel Phillips, Sumana Devata, Ryan A Wilcox

Open access · goldAbstract readReview
In one paragraph

Review in Journal for immunotherapy of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Molecular imaging · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Novel Immunotherapies for T Cell Lymphoma and Leukemia.Current hematologic malignancy reports · 2018
    Review
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 at 1 institution in 1 country.

Tycel PhillipsDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI USA.
Sumana DevataDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI USA.
Ryan A WilcoxDepartment of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI USA ; University of Michigan Comprehensive Cancer Center, 4310 Cancer Center, 1500 East Medical Center Drive, Ann Arbor, MI 48109 USA.
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 CA172215
6 · The paper itself

Abstract

The T-cell lymphoproliferative disorders are a heterogeneous group of non-Hodgkin's lymphomas (NHL) for which current therapeutic strategies are inadequate, as most patients afflicted with these NHL will succumb to disease progression within 2 years of diagnosis. Appreciation of the genetic and immunologic landscape of these aggressive NHL, including PD-L1 (B7-H1, CD274) expression by malignant T cells and within the tumor microenvironment, provides a strong rationale for therapeutic targeting this immune checkpoint. While further studies are needed, the available data suggests that responses with PD-1 checkpoint blockade alone will unlikely approach those achieved in other lymphoproliferative disorders. Herein, we review the unique challenges posed by the T-cell lymphoproliferative disorders and discuss potential strategies to optimize checkpoint blockade in these T-cell derived malignancies.

Indexed as

Checkpoint blockadeCutaneous T-cell lymphomaPD-L1Peripheral T-cell lymphoma

Identifiers

PMID28031823
PMCPMC5170899
OpenAlexW2565934300

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.