Evidence map›Paper›PMID 22801669›Full record

ReviewNature reviews. Clinical oncology2012

T-cell therapy in the treatment of post-transplant lymphoproliferative disease.

Catherine M Bollard, Cliona M Rooney, Helen E Heslop

Abstract readReview
In one paragraph

Review in Nature reviews. Clinical oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed
13.0field-weighted citation impact, top 1% 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

108 citing papers in PubMed, 239 citations in OpenAlex.

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48 more citing papers are in PubMed but not listed here.

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 3 institutions in 1 country.

Catherine M BollardCenter for Cell and Gene Therapy, Department of Pediatrics, Baylor College of Medicine, The Methodist Hospital and Texas Children's Hospital, 1102 Bates Street, Houston, TX 77030, USA. cmbollar@txch.org
Cliona M Rooney
Helen E Heslop
Baylor College of Medicine · USHouston Methodist · USTexas Children's Hospital · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI PAVAN REDDY · 2007 to 2026
$73.9M
Tissue ResourceP50CA126752 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Andrea Nicole Marcogliese · 2007 to 2026
$51.4M
VECTOR PRODUCTIONP01CA094237 · NCI · BAYLOR COLLEGE OF MEDICINE · PI HESLOP, HELEN E, ROONEY, CLIONA M. · 2002 to 2017
$27.8M
PR1-specific CB T cells for Patients with Myeloid MalignanciesP01CA148600 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHPALL, ELIZABETH J · 2011 to 2022
$24.4M
NCI NIH HHS P01 CA094237NCI NIH HHS P01CA094237NCI NIH HHS P01 CA148600NCI NIH HHS P30 CA125123NCI NIH HHS P50 CA126752NCI NIH HHS P50CA126752NHLBI NIH HHS U54HL08100
6 · The paper itself

Abstract

Post-transplant lymphoproliferative diseases (PTLD) associated with Epstein-Barr virus (EBV) infection often develop after organ and haematopoietic stem-cell transplantation. These lymphoproliferative diseases are tumours that usually express all latent EBV viral proteins, and are therefore amenable to T-cell-based immune therapies, such as donor lymphocyte infusions and the adoptive transfer of EBV-specific cytotoxic T lymphocytes. In this Review, we describe current approaches of T-cell-based therapies to treat PTLD, and describe strategies that improve the feasibility of such treatment.

Indexed as

Epstein-Barr Virus InfectionsT-Lymphocytes, CytotoxicAdoptive TransferCell- and Tissue-Based TherapyHematopoietic Stem Cell TransplantationHumansImmunosuppressive AgentsImmunotherapy, AdoptiveLymphoproliferative DisordersTime FactorsImmunosuppressive Agents

Identifiers

PMID22801669
PMCPMC3743122
OpenAlexW2060055494

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.