Evidence map›Paper›PMID 31553912›Full record

ArticleCell reports2019

Identification of FUBP1 as a Long Tail Cancer Driver and Widespread Regulator of Tumor Suppressor and Oncogene Alternative Splicing.

Jessica S Elman, Thomas K Ni, Kristen E Mengwasser, Dexter Jin, Ania Wronski, Stephen J Elledge, Charlotte Kuperwasser

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 5 institutions in 1 country.

Jessica S ElmanDepartment of Developmental, Chemical and Molecular Biology, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA 02111, USA; Raymond & Beverly Sackler Convergence Laboratory, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA 02111, USA.
Thomas K NiDepartment of Developmental, Chemical and Molecular Biology, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA 02111, USA; Raymond & Beverly Sackler Convergence Laboratory, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA 02111, USA.
Kristen E MengwasserDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Dexter JinWhitehead Institute for Biomedical Research, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ania WronskiDepartment of Developmental, Chemical and Molecular Biology, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA 02111, USA; Raymond & Beverly Sackler Convergence Laboratory, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA 02111, USA.
Stephen J ElledgeDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Ludwig Center at Harvard, Boston, MA, USA; Department of Genetics, Program in Virology, Harvard Medical School, Howard Hughes Medical Institute, Boston, MA 02115, USA.
Charlotte KuperwasserDepartment of Developmental, Chemical and Molecular Biology, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA 02111, USA; Raymond & Beverly Sackler Convergence Laboratory, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA 02111, USA. Electronic address: charlotte.kuperwasser@tufts.edu.
Convergence · USTufts University · USBrigham and Women's Hospital · USHarvard University · USWhitehead Institute for Biomedical Research · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Mechanisms of breast cancer associated with obesityR01CA170851 · NCI · TUFTS UNIVERSITY BOSTON · PI KUPERWASSER, CHARLOTTE, SEEWALDT, VICTORIA L. · 2012 to 2015
$2.6M
Analysis of the cellular and molecular determinants of the human breast hierarchyR01HD073035 · NICHD · TUFTS UNIVERSITY BOSTON · PI KUPERWASSER, CHARLOTTE · 2012 to 2016
$2.4M
Defining the signaling pathways that direct adult tissue stem cells to exit multipotencyR01GM124491 · NIGMS · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI GUPTA, PIYUSH · 2018 to 2022
$2.1M
Cancer Research UKHoward Hughes Medical InstituteNCI NIH HHS R01 CA170851NICHD NIH HHS R01 HD073035NIGMS NIH HHS R01 GM124491NIGMS NIH HHS T32 GM007753
6 · The paper itself

Abstract

Comprehensive sequencing approaches have allowed for the identification of the most frequent contributors to cancer, known as drivers. They have also revealed a class of mutations in understudied, infrequently altered genes, referred to as "long tail" (LT) drivers. A key challenge has been to find clinically relevant LT drivers and to understand how they cooperate to drive disease. Here, we identified far upstream binding protein 1 (FUBP1) as an LT driver using an in vivo CRISPR screen. FUBP1 cooperates with other tumor suppressor genes to transform mammary epithelial cells by disrupting cellular differentiation and tissue architecture. Mechanistically, FUBP1 participates in regulating N

Indexed as

Alternative SplicingDNA-Binding ProteinsGenes, Tumor SuppressorHumansNeoplasmsOncogenesRNA-Binding ProteinsDNA-Binding ProteinsFUBP1 protein, humanRNA-Binding Proteinsalternative splicingbreast cancerepitranscriptomeintronic polyadenylationm(6)AmRNA processingN(6)-methyladenosineoncogenic cooperationpremature polyadenylationtumor suppressor gene

Identifiers

PMID31553912
PMCPMC7297508
OpenAlexW2977107688

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.