Evidence map›Paper›PMID 21844008›Full record

ReviewClinical cancer research : an official journal of the American Association for Cancer Research2011

New strategies in diffuse large B-cell lymphoma: translating findings from gene expression analyses into clinical practice.

Jonathan W Friedberg

Abstract readReview
In one paragraph

Review in Clinical cancer research : an official journal of the American Association for Cancer Research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. The expression level of hsa-miR-146a-5p in plasma-derived exosomes of patients with diffuse large B-cell lymphoma.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2019
    Article
  12. Anemia Associated with Worse Outcome in Diffuse Large B-Cell Lymphoma Patients: A Single-Center Retrospective StudyTurkish journal of haematology : official journal of Turkish Society of Haematology · 2018
    Article
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  14. Review
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  18. Higher incidence of the SNP Met 788 Ile in the coding region of A20 in diffuse large B cell lymphomas.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
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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

1 author.

Jonathan W FriedbergUniversity of Rochester Medical Center, Rochester, New York 14642, USA. jonathan_friedberg@urmc.rochester.edu

Funding

SPORE in LymphomaP50CA130805 · NCI · UNIVERSITY OF ROCHESTER · PI FISHER, RICHARD I · 2008 to 2012
$11.7M
NCI NIH HHS P50 CA130805
6 · The paper itself

Abstract

Gene expression profiling has had a major impact on our understanding of the biology and heterogeneity of diffuse large B-cell lymphoma (DLBCL). Using this technology, investigators can identify biologic subgroups of DLBCL that provide unique targets for rational therapeutic intervention. This review summarizes these potential targets and updates the progress of clinical development of exciting novel agents for the treatment of DLBCL. Results of ongoing studies suggest that in the near future, we will be able to use gene expression profiling, or an accurate surrogate, to define the best therapeutic approach for individual patients with DLBCL.

Indexed as

Gene Expression ProfilingHumansLymphoma, Large B-Cell, DiffuseMolecular Targeted TherapyPrognosisProtein Kinase CProtein Kinase C betaSignal TransductionTumor MicroenvironmentProtein Kinase CProtein Kinase C beta

Identifiers

PMID21844008
PMCPMC3186880

What OpenQuestion holds

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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.