Evidence map›Paper›PMID 17296973›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2007

Specific secondary genetic alterations in mantle cell lymphoma provide prognostic information independent of the gene expression-based proliferation signature.

Itziar Salaverria, Andreas Zettl, Sílvia Beà, Victor Moreno, Joan Valls, Elena Hartmann, German Ott, George Wright, Armando Lopez-Guillermo, Wing C Chan and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
13.1field-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

45 citing papers in PubMed, 179 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. The pathologic diagnosis of mantle cell lymphoma.Histology and histopathology · 2021
    Review
  7. Article
  8. Molecular Pathogenesis of Mantle Cell Lymphoma.Hematology/oncology clinics of North America · 2020
    Review
  9. Article
  10. Review
  11. Review
  12. Expansion of BCR/ABL1British journal of haematology · 2017
    Article
  13. Review
  14. Article
  15. Mantle cell lymphoma--a spectrum from indolent to aggressive disease.Virchows Archiv : an international journal of pathology · 2016
    Review
  16. Article
  17. SNPs Array Karyotyping in Non-Hodgkin Lymphoma.Microarrays (Basel, Switzerland) · 2015
    Review
  18. Article
  19. Article
  20. 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

20 authors at 1 institution in 1 country.

Itziar SalaverriaDepartment of Pathology and Hematology, Hospital Clinic, University of Barcelona, Barcelona, Spain.
Andreas Zettl
Sílvia Beà
Victor Moreno
Joan Valls
Elena Hartmann
German Ott
George Wright
Armando Lopez-Guillermo
Wing C Chan
Dennis D Weisenburger
Randy D Gascoyne
Thomas M Grogan
Jan Delabie
Elaine S Jaffe
Emili Montserrat
Hans-Konrad Muller-Hermelink
Louis M Staudt
Andreas Rosenwald
Elias Campo
Universitat de Barcelona · ES

Funding

Molecular Signatures to Improve Diagnosis and Outcome PrU01CA114778 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI CHAN, WING C. · 2005 to 2009
$8.7M
REGULATION OF GENE EXPRESSION IN NORMAL AND MALIGNANT HUMAN LYMPHOCYTESZ01SC004024 · SC · CLINICAL SCIENCES · PI STAUDT, LOUIS · 1996 to 2007
$4.4M
MOLECULAR CLASSIFICATION OF B-CELL LYMPHOMAU01CA084967 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI CHAN, WING C. · 1999 to 2004
$4.1M
Lymphoma Disease Discovery and DefintionZ01SC000550 · SC · DIVISION OF CLINICAL SCIENCES - NCI · PI JAFFE, ELAINE · 1996 to 2008
$2.3M
NCI NIH HHS U01 CA084967NCI NIH HHS U01 CA114778NCI NIH HHS UO1-CA84967
6 · The paper itself

Abstract

purposeTo compare the genetic relationship between cyclin D1-positive and cyclin D1-negative mantle cell lymphomas (MCLs) and to determine whether specific genetic alterations may add prognostic information to survival prediction based on the proliferation signature of MCLs. PATIENTS AND

methodsSeventy-one cyclin D1-positive and six cyclin D1-negative MCLs previously characterized by gene expression profiling were examined by comparative genomic hybridization (CGH).

resultsCyclin D1-negative MCLs were genetically characterized by gains of 3q, 8q, and 15q, and losses of 1p, 8p23-pter, 9p21-pter, 11q21-q23, and 13q that were also the most common alterations in conventional MCLs. Parallel analysis of CGH aberrations and locus-specific gene expression profiles in cyclin D1-positive patients showed that chromosomal imbalances had a substantial impact on the expression levels of the genes located in the altered regions. The analysis of prognostic factors revealed that the proliferation signature, the number of chromosomal aberrations, gains of 3q, and losses of 8p, 9p, and 9q predicted survival of MCL patients. A multivariate analysis showed that the gene expression-based proliferation signature was the strongest predictor for shorter survival. However, 3q gains and 9q losses provided prognostic information that was independent of the proliferative activity.

conclusionCyclin D1-positive and -negative MCLs share the same secondary genetic aberrations, supporting the concept that they correspond to the same genetic entity. The integration of genetic information on chromosome 3q and 9q alterations into a proliferation signature-based model may improve the ability to predict survival in patients with MCL.

Indexed as

Chromosome AberrationsAdultAgedAged, 80 and overCell ProliferationChromosomes, Human, Pair 3Chromosomes, Human, Pair 9Cyclin D1FemaleGene ExpressionHumansLymphoma, Mantle-CellMaleMiddle AgedPrognosisCyclin D1

Identifiers

PMID17296973
PMCPMC2366164
OpenAlexW1999047572

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.