Evidence map›Paper›PMID 23568491›Full record

ReviewBlood2013

SF3B1 mutations in chronic lymphocytic leukemia.

Youzhong Wan, Catherine J Wu

Open access · bronzeAbstract readReview
In one paragraph

Review in Blood, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

87 citing papers in PubMed, 140 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. RNA splicing in health and disease.Molecular biomedicine · 2026
    Review
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27 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Youzhong WanCancer Vaccine Center, Dana-Farber Cancer Institute, Boston, MA 02115, USA
Catherine J Wu
Brigham and Women's Hospital · USDana-Farber Cancer Institute · US

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
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 CA155010NHLBI NIH HHS 1R01HL103532-01NHLBI NIH HHS 1R01HL116452-01NHLBI NIH HHS R01 HL103532NHLBI NIH HHS R01 HL116452
6 · The paper itself

Abstract

SF3B1 is a critical component of the splicing machinery, which catalyzes the removal of introns from precursor messenger RNA (mRNA). Next-generation sequencing studies have identified mutations in SF3B1 in chronic lymphocytic leukemia (CLL) at high frequency. In CLL, SF3B1 mutation is associated with more aggressive disease and shorter survival, and recent studies suggest that it can be incorporated into prognostic schema to improve the prediction of disease progression. Mutations in SF3B1 are predominantly subclonal genetic events in CLL, and hence are likely later events in the progression of CLL. Evidence of altered pre-mRNA splicing has been detected in CLL cases with SF3B1 mutations. Although the causative link between SF3B1 mutation and CLL pathogenesis remains unclear, several lines of evidence suggest SF3B1 mutation might be linked to genomic stability and epigenetic modification.

Indexed as

HumansLeukemia, Lymphocytic, Chronic, B-CellMutationPhosphoproteinsRibonucleoprotein, U2 Small NuclearRNA Splicing FactorsPhosphoproteinsRibonucleoprotein, U2 Small NuclearRNA Splicing FactorsSF3B1 protein, human

Identifiers

PMID23568491
PMCPMC3674664
OpenAlexW2092582534

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.