Evidence map›Paper›PMID 14961037›Full record

ArticleLeukemia2004

Identification of genes whose expression patterns differ in benign lymphoid tissue and follicular, mantle cell, and small lymphocytic lymphoma.

S C Schmechel, R J LeVasseur, K H-J Yang, K M Koehler, S J Kussick, D E Sabath

Abstract read
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In one paragraph

Article in Leukemia, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

S C SchmechelDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA.
R J LeVasseur
K H-J Yang
K M Koehler
S J Kussick
D E Sabath

Funding

EXPERIMENTAL PATHOLOGY OF CARDIOVASCULAR DISEASET32HL007312 · NHLBI · UNIVERSITY OF WASHINGTON · PI MAJESKY, MARK W., SCHWARTZ, STEPHEN MARK · 1985 to 2019
$11.8M
NHLBI NIH HHS 5T32HL007312-25
6 · The paper itself

Abstract

Improved methods for diagnosing small B-cell lymphomas (SBCLs) and predicting patient response to therapy are likely to result from the ongoing discovery of molecular markers that better define these malignancies. In this report, we identify 120 genes whose expression patterns differed between reactive lymph node tissue and three types of SBCL: follicular lymphoma, mantle cell lymphoma, and chronic lymphocytic leukemia/small lymphocytic lymphoma. Whereas previously published studies have generally analyzed the gene expression profiles of one type of SBCL, work presented in this paper was intended to identify genes that are differentially expressed between three SBCL subtypes. This analysis was performed using mRNA pooled from multiple specimens representing each tissue type. Quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) was used to validate the differential expression of 23 of these genes. Among the 23 validated genes were cyclin D1 (CCND1) and B-cell CLL/lymphoma 2, which have well-known roles in lymphoma pathogenesis. The remaining 21 genes have no currently established role in lymphoma development. Using qRT-PCR, the expression of CCND1 and seven additional genes was further studied in a panel of individual specimens. Genes identified in this study are of biological interest and represent candidate diagnostic markers.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorGene Expression ProfilingHumansLeukemia, Lymphocytic, Chronic, B-CellLymphoma, FollicularLymphoma, Mantle-CellLymphoma, Non-HodgkinOligonucleotide Array Sequence AnalysisPseudolymphomaReverse Transcriptase Polymerase Chain ReactionBiomarkers, Tumor

Identifiers

PMID14961037

What OpenQuestion holds

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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.