Evidence map›Paper›PMID 22441656›Full record

ArticleCancer immunology, immunotherapy : CII2012

Optimized adoptive T-cell therapy for the treatment of residual mantle cell lymphoma.

Corey M Munger, Ganapati V Hegde, Dennis D Weisenburger, Julie M Vose, Shantaram S Joshi

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

5 authors at 2 institutions in 1 country.

Corey M MungerDepartment of Genetics, Cell Biology and Anatomy, Center for Research in Leukemia and Lymphoma, University of Nebraska Medical Center, Omaha, NE 68198-6395, USA.
Ganapati V Hegde
Dennis D Weisenburger
Julie M Vose
Shantaram S Joshi
University of Nebraska Medical Center · USNebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mantle cell lymphoma (MCL) is an aggressive B-cell neoplasm with few patients achieving long-term survival with current treatment regimens. High-dose therapy is effective in reducing the tumor burden; however, patients eventually relapse due to minimal residual disease. Having demonstrated efficacy in other malignancies, the effectiveness of dendritic cell-based immunotherapy for minimal residual MCL was examined. We demonstrated that dendritic cells (DC) primed with MCL antigens stimulated the activation of MCL-specific T cells that recognized and destroyed both MCL cell lines and primary MCL in vitro. In addition, in vivo studies demonstrated that adoptively transferred MCL-specific T cells were able to significantly inhibit tumor growth in mice with minimal residual MCL. Subsequently, when combined with CHOP chemotherapy, adoptive T-cell therapy was able to significantly extend the survival of the mice by further reducing the tumor burden. These results clearly show that MCL-specific cellular immunotherapy is effective in treating minimal residual MCL, paving the way for future clinical studies.

Indexed as

AnimalsAntigens, NeoplasmAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsCell Line, TumorCombined Modality TherapyCyclophosphamideDendritic CellsDoxorubicinHumansImmunotherapy, AdoptiveKidney NeoplasmsLiver NeoplasmsLung NeoplasmsLymphocyte ActivationLymphoma, Mantle-CellAntigens, NeoplasmAntineoplastic AgentsCyclophosphamideDoxorubicinPrednisoneVincristine

Identifiers

PMID22441656
PMCPMC11029434
OpenAlexW2003175567

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.