Evidence map›Paper›PMID 29340039›Full record

ArticleOncotarget2017

Integrative molecular network analysis identifies emergent enzalutamide resistance mechanisms in prostate cancer.

Carly J King, Josha Woodward, Jacob Schwartzman, Daniel J Coleman, Robert Lisac, Nicholas J Wang, Kathryn Van Hook, Lina Gao, Joshua Urrutia, Mark A Dane and 2 more

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

12 authors.

Carly J KingDepartment of Biomedical Engineering, OHSU Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR 97239, USA.
Josha WoodwardKnight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA.
Jacob SchwartzmanKnight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA.
Daniel J ColemanKnight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA.
Robert LisacKnight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA.
Nicholas J WangDepartment of Biomedical Engineering, OHSU Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR 97239, USA.
Kathryn Van HookKnight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA.
Lina GaoKnight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA.
Joshua UrrutiaKnight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA.
Mark A DaneDepartment of Biomedical Engineering, OHSU Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR 97239, USA.
Laura M HeiserDepartment of Biomedical Engineering, OHSU Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR 97239, USA.
Joshi J AlumkalKnight Cancer Institute, Oregon Health and Science University, Portland, OR 97239, USA.

Funding

Understanding the origins of rapid recurrence of pancreatic cancer after resectionP30CA069533 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Luiz Eduardo Bertassoni · 1997 to 2026
$60.5M
Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
The Role of LSD1 in the Evolution of Castration Resistant Prostate CancerR01CA178610 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI ALUMKAL, JOSHI JAMES · 2014 to 2018
$1.6M
Oregon Clinical and Translational Research InstituteTL1TR000129 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$613k
NCATS NIH HHS TL1 TR000129NCATS NIH HHS UL1 TR000128NCI NIH HHS P30 CA069533NCI NIH HHS R01 CA178610
6 · The paper itself

Abstract

Recent work demonstrates that castration-resistant prostate cancer (CRPC) tumors harbor countless genomic aberrations that control many hallmarks of cancer. While some specific mutations in CRPC may be actionable, many others are not. We hypothesized that genomic aberrations in cancer may operate in concert to promote drug resistance and tumor progression, and that organization of these genomic aberrations into therapeutically targetable pathways may improve our ability to treat CRPC. To identify the molecular underpinnings of enzalutamide-resistant CRPC, we performed transcriptional and copy number profiling studies using paired enzalutamide-sensitive and resistant LNCaP prostate cancer cell lines. Gene networks associated with enzalutamide resistance were revealed by performing an integrative genomic analysis with the PAthway Representation and Analysis by Direct Reference on Graphical Models (PARADIGM) tool. Amongst the pathways enriched in the enzalutamide-resistant cells were those associated with MEK, EGFR, RAS, and NFKB. Functional validation studies of 64 genes identified 10 candidate genes whose suppression led to greater effects on cell viability in enzalutamide-resistant cells as compared to sensitive parental cells. Examination of a patient cohort demonstrated that several of our functionally-validated gene hits are deregulated in metastatic CRPC tumor samples, suggesting that they may be clinically relevant therapeutic targets for patients with enzalutamide-resistant CRPC. Altogether, our approach demonstrates the potential of integrative genomic analyses to clarify determinants of drug resistance and rational co-targeting strategies to overcome resistance.

Indexed as

castration resistantdrug resistanceenzalutamideprostate cancer

Identifiers

PMID29340039
PMCPMC5762307

What OpenQuestion holds

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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.