Evidence map›Paper›PMID 25433701›Full record

ArticleCell2014

Integration of genomic data enables selective discovery of breast cancer drivers.

Félix Sanchez-Garcia, Patricia Villagrasa, Junji Matsui, Dylan Kotliar, Verónica Castro, Uri-David Akavia, Bo-Juen Chen, Laura Saucedo-Cuevas, Ruth Rodriguez Barrueco, David Llobet-Navas and 2 more

Abstract read
In one paragraph

Article in Cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Golgi Drivers of Cancer.Sub-cellular biochemistry · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Nrf2 in Cancer, Detoxifying Enzymes and Cell Death Programs.Antioxidants (Basel, Switzerland) · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Dissecting the Tumor-Immune Landscape in Chimeric Antigen Receptor T-cell Therapy: Key Challenges and Opportunities for a Systems Immunology Approach.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Review
  16. Article
  17. Article
  18. Article
  19. Oncogenic Roles of GOLPH3 in the Physiopathology of Cancer.International journal of molecular sciences · 2020
    Review
  20. Article

3 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

12 authors.

Félix Sanchez-GarciaDepartment of Biological Sciences and Department of Systems Biology, Columbia University, New York, NY 10027, USA; Department of Computer Science, Columbia University, New York, NY 10027, USA.
Patricia VillagrasaIcahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
Junji MatsuiIcahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
Dylan KotliarDepartment of Biological Sciences and Department of Systems Biology, Columbia University, New York, NY 10027, USA.
Verónica CastroIcahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
Uri-David AkaviaDepartment of Biological Sciences and Department of Systems Biology, Columbia University, New York, NY 10027, USA.
Bo-Juen ChenDepartment of Biological Sciences and Department of Systems Biology, Columbia University, New York, NY 10027, USA.
Laura Saucedo-CuevasIcahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
Ruth Rodriguez BarruecoIcahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
David Llobet-NavasIcahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA.
Jose M SilvaIcahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, New York, NY 10029, USA. Electronic address: jose.silva@mssm.edu.
Dana Pe'erDepartment of Biological Sciences and Department of Systems Biology, Columbia University, New York, NY 10027, USA. Electronic address: dpeer@biology.columbia.edu.

Funding

Nation Center: Multi-Scale Study- Cellular Networks(RMI)U54CA121852 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2005 to 2015
$37.4M
Genetic variation and regulatory networks: Mechanisms and complexityDP2OD002414 · OD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PE'ER, DANA · 2007 to 2009
$2.5M
Integrative Cancer Genomics: Drivers, Pathways and DrugsR01CA164729 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PE'ER, DANA · 2012 to 2016
$1.9M
NCI NIH HHS 1U54CA121852-01A1NCI NIH HHS R01 CA164729NCI NIH HHS R01CA164729NCI NIH HHS U54 CA121852NIH HHS DP2 OD002414NIH HHS DP2OD002414
6 · The paper itself

Abstract

Identifying driver genes in cancer remains a crucial bottleneck in therapeutic development and basic understanding of the disease. We developed Helios, an algorithm that integrates genomic data from primary tumors with data from functional RNAi screens to pinpoint driver genes within large recurrently amplified regions of DNA. Applying Helios to breast cancer data identified a set of candidate drivers highly enriched with known drivers (p < 10(-14)). Nine of ten top-scoring Helios genes are known drivers of breast cancer, and in vitro validation of 12 candidates predicted by Helios found ten conferred enhanced anchorage-independent growth, demonstrating Helios's exquisite sensitivity and specificity. We extensively characterized RSF-1, a driver identified by Helios whose amplification correlates with poor prognosis, and found increased tumorigenesis and metastasis in mouse models. We have demonstrated a powerful approach for identifying driver genes and how it can yield important insights into cancer.

Indexed as

AlgorithmsAnimalsBayes TheoremBreast NeoplasmsCell Line, TumorDNA Copy Number VariationsFemaleGenome-Wide Association StudyHumansMice, Inbred NODMice, SCIDRNA Interference

Identifiers

PMID25433701
PMCPMC4258423

What OpenQuestion holds

Textmetadata
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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.