Evidence map›Paper›PMID 27153554›Full record

ArticleOncotarget2016

Functional oncogene signatures guide rationally designed combination therapies to synergistically induce breast cancer cell death.

Stephen T Guest, Zachary R Kratche, Jonathan C Irish, Robert C Wilson, Ramsi Haddad, Joe W Gray, Elizabeth Garrett-Mayer, Stephen P Ethier

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. A Review of DUSP26: Structure, Regulation and Relevance in Human Disease.International journal of molecular sciences · 2021
    Review
  3. Review
  4. Article
  5. Article
  6. 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

8 authors at 3 institutions in 1 country.

Stephen T GuestDepartment of Pathology and Laboratory Medicine, Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Zachary R KratcheDepartment of Pathology and Laboratory Medicine, Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Jonathan C IrishDepartment of Pathology and Laboratory Medicine, Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Robert C WilsonDepartment of Pathology and Laboratory Medicine, Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Ramsi HaddadDepartment of Pathology and Laboratory Medicine, Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Joe W GrayDepartment of Biomedical Engineering, Oregon Health and Sciences University, Portland, Oregon, USA.
Elizabeth Garrett-MayerDepartment of Public Health Science, Medical University of South Carolina, Charleston, South Carolina, USA.
Stephen P EthierDepartment of Pathology and Laboratory Medicine, Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.
MUSC Hollings Cancer Center · USMedical University of South Carolina · USOregon Health & Science University · US

Funding

Translational Science Laboratory Shared ResourceP30CA138313 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAYMOND N. DUBOIS · 2009 to 2026
$42.7M
TRAINING PROGRAM IN THE BIOLOGY OF CANCERT32CA009531 · NCI · WAYNE STATE UNIVERSITY · PI Larry H Matherly · 1985 to 2026
$5.3M
NCI NIH HHS P30 CA138313NCI NIH HHS T32 CA009531
6 · The paper itself

Abstract

A critical first step in the personalized approach to cancer treatment is the identification of activated oncogenes that drive each tumor. The Identification of driver oncogenes on a patient-by-patient basis is complicated by the complexity of the cancer genome and the fact that a particular genetic alteration may serve as a driver event only in a subset of tumors that harbor it. In this study, we set out to identify the complete set of functional oncogenes in a small panel of breast cancer cell lines. The cell lines in this panel were chosen because they each contain a known receptor tyrosine kinase (RTK) oncogene. To identify additional drivers, we integrated functional genetic screens with copy number and mutation analysis, and cancer genome knowledge databases. The resulting functional oncogene signatures were able to predict responsiveness of cell lines to targeted inhibitors. However, as single agents, these drugs had little effect on clonogenic potential. By contrast, treatment with drug combinations that targeted multiple oncogenes in the signatures, even at very low doses, resulted in the induction of apoptosis and striking synergistic effects on clonogenicity. In particular, targeting a driver oncogene that mediates AKT phosphorylation in combination with targeting the anti-apoptotic BCL2L1 protein had profound effects on cell viability. Importantly, because the synergistic induction of cell death was achieved using low levels of each individual drug, it suggests that a therapeutic strategy based on this approach could avoid the toxicities that have been associated with the combined use of multiple-targeted agents.

Indexed as

Antineoplastic AgentsBreast NeoplasmsCell DeathCell LineCell Line, TumorDrug Screening Assays, AntitumorDrug SynergismFemaleHEK293 CellsHigh-Throughput Nucleotide SequencingHumansMolecular Targeted TherapyOncogene ProteinsReceptor Protein-Tyrosine KinasesRNA InterferenceSmall Molecule LibrariesAntineoplastic AgentsOncogene ProteinsReceptor Protein-Tyrosine KinasesSmall Molecule LibrariesAKTBCL2L1breast cancerFGFRfunctional genomics

Identifiers

PMID27153554
PMCPMC5094989
OpenAlexW2346973320

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.