Evidence map›Paper›PMID 27040708›Full record

ReviewSeminars in oncology2016

Improving therapy of chronic lymphocytic leukemia with chimeric antigen receptor T cells.

Joseph A Fraietta, Robert D Schwab, Marcela V Maus

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in oncology, 2016. 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
0.9field-weighted citation impact, top 23% 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, 15 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

3 authors at 2 institutions in 1 country.

Joseph A FraiettaCenter for Cellular Immunotherapy, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA.
Robert D SchwabCenter for Cellular Immunotherapy, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA.
Marcela V MausCellular Immunotherapy Program, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA. Electronic address: mvmaus@mgh.harvard.edu.
University of Pennsylvania · USMassachusetts General Hospital · US

Funding

Designer antigen receptors to re-direct T cells to the NY-ESO-1 tumor antigenK08CA166039 · NCI · UNIVERSITY OF PENNSYLVANIA · PI MAUS, MARCELA VALDERRAMA · 2012 to 2016
$747k
NCI NIH HHS K08 CA166039
6 · The paper itself

Abstract

Adoptive cell immunotherapy for the treatment of chronic lymphocytic leukemia (CLL) has heralded a new era of synthetic biology. The infusion of genetically engineered, autologous chimeric antigen receptor (CAR) T cells directed against CD19 expressed by normal and malignant B cells represents a novel approach to cancer therapy. The results of recent clinical trials of CAR T cells in relapsed and refractory CLL have demonstrated long-term disease-free remissions, underscoring the power of harnessing and redirecting the immune system against cancer. This review will briefly summarize T-cell therapies in development for CLL disease. We discuss the role of T-cell function and phenotype, T-cell culture optimization, CAR design, and approaches to potentiate the survival and anti-tumor effects of infused lymphocytes. Future efforts will focus on improving the efficacy of CAR T cells for the treatment of CLL and incorporating adoptive cell immunotherapy into standard medical management of CLL.

Indexed as

Immunotherapy, AdoptiveCell- and Tissue-Based TherapyHumansLeukemia, Lymphocytic, Chronic, B-CellReceptors, Antigen, T-CellRecombinant Fusion ProteinsT-Lymphocyte SubsetsReceptors, Antigen, T-CellRecombinant Fusion ProteinsCARCLLImmunotherapyLeukemiaT cell

Identifiers

PMID27040708
PMCPMC4824551
OpenAlexW2253636300

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.