Evidence map›Paper›PMID 25048782›Full record

ReviewSeminars in hematology2014

Evolving understanding of the CLL genome.

Michaela Gruber, Catherine J Wu

Abstract readReview
In one paragraph

Review in Seminars in hematology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Guideline
  2. The importance ofMolecular biology research communications · 2025
    Review
  3. Review
  4. Article
  5. Clinical utility of recently identified diagnostic, prognostic, and predictive molecular biomarkers in mature B-cell neoplasms.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Molecular pathogenesis of CLL and its evolution.International journal of hematology · 2015
    Review
  18. Article
  19. Review
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

2 authors.

Michaela GruberDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Broad Institute, Cambridge, MA; Department of Internal Medicine I, Division of Haematology and Haemostaseology, Medical University of Vienna, Vienna, Austria.
Catherine J WuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA; Broad Institute, Cambridge, MA; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA. Electronic address: cwu@partners.org.

Funding

Personal tumor neoantigens for immunity against chronic lymphocytic leukemiaR01CA155010 · NCI · DANA-FARBER CANCER INST · PI Catherine Ju-Ying Wu · 2011 to 2026
$9.6M
The role of the SF3B1 splicing factor in chronic lymphocytic leukemiaR01HL116452 · NHLBI · DANA-FARBER CANCER INST · PI WU, CATHERINE JU-YING · 2013 to 2017
$2.1M
Defining the impact of clonal evolution on chronic lymphocytic leukemiaR01CA182461 · NCI · DANA-FARBER CANCER INST · PI WU, CATHERINE JU-YING · 2014 to 2018
$1.8M
Post-transplant vaccines to enhance graft-versus-leukemia responsesR01HL103532 · NHLBI · DANA-FARBER CANCER INST · PI WU, CATHERINE JU-YING · 2010 to 2013
$1.7M
NCI NIH HHS 1R01CA155010-01A1NCI NIH HHS R01 CA155010NCI NIH HHS R01 CA182461NHLBI NIH HHS 1R01HL103532-01NHLBI NIH HHS R01 HL103532NHLBI NIH HHS R01 HL116452
6 · The paper itself

Abstract

Over the past few years, massively parallel sequencing technologies have revealed with high resolution the tremendous genetic and epigenetic heterogeneity in chronic lymphocytic leukemia (CLL). We have learned how the molecular architecture differs not only between affected individuals but also within samples and over time. These insights have catalyzed our understanding of the pathobiology of CLL and point to critical signaling pathways in the development and progression of the disease. Several key driver alterations have been identified, which serve to refine prognostic schemata but also to inspire the development of new therapeutic strategies. Ongoing advances in technology promise to further elucidate the molecular basis of CLL, and this knowledge is anticipated to aid us in understanding and addressing the clinical challenge presented by the vast variability in the clinical course of patients with CLL.

Indexed as

Chromosome AberrationsEpigenomicsGenetic HeterogeneityGenomeHumansLeukemia, Lymphocytic, Chronic, B-CellReceptors, Antigen, B-CellSignal TransductionReceptors, Antigen, B-Cell

Identifiers

PMID25048782
PMCPMC4107366

What OpenQuestion holds

Textmetadata
LicenceTDM
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.