Evidence map›Paper›PMID 33275669›Full record

ReviewHematology. American Society of Hematology. Education Program2020

Chimeric antigen receptor T cells for mature B-cell lymphoma and Burkitt lymphoma.

Emily M Hsieh, Rayne H Rouce

Open access · bronzeAbstract readCase ReportsReview
In one paragraph

Review in Hematology. American Society of Hematology. Education Program, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
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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

2 authors at 2 institutions in 1 country.

Emily M HsiehTexas Children's Cancer and Hematology Centers, Houston, TX; and.
Rayne H RouceTexas Children's Cancer and Hematology Centers, Houston, TX; and.
Baylor College of Medicine · USChildren's Cancer Center · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
Tissue ResourceP50CA126752 · NCI · BAYLOR COLLEGE OF MEDICINE · PI MALCOLM K. BRENNER, HELEN E HESLOP · 2007 to 2026
$51.4M
NCI NIH HHS P30 CA125123NCI NIH HHS P50 CA126752
6 · The paper itself

Abstract

Chimeric antigen receptor (CAR) T-cell therapy has changed the landscape of immunotherapy for B-cell malignancies, including mature B-cell lymphomas. Although two CD19 CAR T-cell products have been commercially approved to treat relapsed/refractory B-cell lymphomas, outcomes in these patients remain inferior to those of patients with B-cell leukemia, regardless of therapy. Recent clinical studies and preclinical reports suggest that certain characteristics, such as the suppressive lymphoma tumor microenvironment and inferior endogenous T-cell fitness, may contribute to discrepant responses in these patients. In addition, these studies revealed that limited CAR T-cell persistence and tumor antigen escape, which also impact B-cell acute lymphoblastic leukemia, may play a more prominent role in lymphoma. Multiple promising strategies to overcome these barriers have advanced to clinical trials. In this review, we assess CAR T-cell therapies for pediatric relapsed/refractory mature B-cell lymphomas, potential obstacles diminishing antitumor activity and limiting CAR T-cell persistence, and current strategies to overcome these obstacles.

Indexed as

Immunotherapy, AdoptiveTumor MicroenvironmentAdolescentBurkitt LymphomaHumansLeukemia, Lymphocytic, Chronic, B-CellMalePrecursor B-Cell Lymphoblastic Leukemia-LymphomaReceptors, Chimeric AntigenReceptors, Chimeric Antigen

Identifiers

PMID33275669
PMCPMC7727550
OpenAlexW3110237706

What OpenQuestion holds

Textmetadata
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.