Evidence map›Paper›PMID 17313671›Full record

ArticleBiology direct2007

Retrospective analysis of protein kinase C-beta (PKC-beta) expression in lymphoid malignancies and its association with survival in diffuse large B-cell lymphomas.

Shuyu Li, Mark Phong, Michael Lahn, Leslie Brail, Susan Sutton, Boris K Lin, Donald Thornton, Birong Liao

Open access · goldAbstract read
In one paragraph

Article in Biology direct, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Shuyu LiIntegrative Biology Informatics, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN 46285, USA. lish@lilly.com
Mark Phong
Michael Lahn
Leslie Brail
Susan Sutton
Boris K Lin
Donald Thornton
Birong Liao
Eli Lilly (United States) · USEli Lilly (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth mechanistic features and recent correlative findings suggest a potential role for protein kinase C-beta (PKC-beta) in tumor pathogenesis, particularly in B-cell malignancies. To evaluate the role of this gene in lymphoid malignancies, we analyzed global gene expression data to quantify PKC-beta expression across diagnostic groups and, when possible, determined correlations between PKC-beta expression and survival.

resultsOur analysis showed that the level of PKC-beta expression was highest in chronic lymphocytic leukemia and follicular lymphoma. Within diffuse large-B cell lymphoma (DLBCL), PKC-beta expression was significantly higher in activated B-cell- like subtype than germinal center B-cell- like subtype (P < 0.0001). Elevated PKC-beta appeared to be associated with worse survival in both of these subtypes. When analyzed within clinically defined risk groups established by the International Prognostic Index (IPI), PKC-beta expression was lowest in patients with low IPI scores (0-1). Within intermediate- and high-risk IPI groups, elevated PKC-beta expression was associated with worse survival, suggesting that PKC-beta may expand the prognostic value of the IPI. Results of global gene expression analyses of DLBCL samples corroborate previous observations that anti-apoptosis, cell proliferation, and B-cell proliferation signaling pathways are functionally related to PKC-beta.

conclusionWe present a first detailed pharmacogenomics report comparing PKC-beta mRNA expression across different lymphoid malignancies and evaluating it as an outcome predictor. Our findings suggest that DLBCL patients with elevated PKC-beta have a worse prognosis, indicating that further evaluation of PKC-beta as a chemotherapeutic target for lymphoid malignancies is warranted.

Identifiers

PMID17313671
PMCPMC1805741
OpenAlexW2119548607

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Registered trials

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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.