Evidence map›Paper›PMID 25155515›Full record

ArticleGenome biology2014

Heterogeneity in the inter-tumor transcriptome of high risk prostate cancer.

Alexander W Wyatt, Fan Mo, Kendric Wang, Brian McConeghy, Sonal Brahmbhatt, Lina Jong, Devon M Mitchell, Rebecca L Johnston, Anne Haegert, Estelle Li and 19 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04015622 (A Randomized Phase II Trial Comparing Biomarker Directed Therapy Versus Clinician's Choice of Enzalutamide or Docetaxel in Patients With Advanced Prostate Cancer Post Abiraterone), which is not on this map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
9.4field-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.

NCT04015622 phase2active not recruitingnot on this mapstarted 2020, after this paper: background citation

A Randomized Phase II Trial Comparing Biomarker Directed Therapy Versus Clinician's Choice of Enzalutamide or Docetaxel in Patients With Advanced Prostate Cancer Post Abiraterone

TypeinterventionalSponsorBritish Columbia Cancer AgencyRan2020 to 2026Enrolled100ConditionsMetastatic Castration-Resistant Prostate Cancer (mCRPC)ArmsEnzalutamide, Docetaxel
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

  1. Germline Genetic Variants Associated with Somatic TMPRSS2:ERG Fusion Status in Prostate Cancer: A Genome-Wide Association Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Pooled it
  2. Loss ofJCO precision oncology · 2021
    Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors at 3 institutions in 2 countries.

Alexander W Wyatt
Fan Mo
Kendric Wang
Brian McConeghy
Sonal Brahmbhatt
Lina Jong
Devon M Mitchell
Rebecca L Johnston
Anne Haegert
Estelle Li
Janet Liew
Jake Yeung
Raunak Shrestha
Anna V Lapuk
Andrew McPherson
Robert Shukin
Robert H Bell
Shawn Anderson
Jennifer Bishop
Antonio Hurtado-Coll
Hong Xiao
Arul M Chinnaiyan
Rohit Mehra
Dong Lin
Yuzhuo Wang
Ladan Fazli
Martin E Gleave
Stanislav V Volik
Colin C Collins
University of British Columbia · CAMichigan Center for Translational Pathology · USBC Cancer Agency · CA

Funding

Validation of prognostic and pathway signatures in lethal prostate cancerU01CA157703 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLEAVE, MARTIN EDWIN, HALABI, SUSAN · 2011 to 2015
$2.5M
NCI NIH HHS U01 CA157703
6 · The paper itself

Abstract

backgroundGenomic analyses of hundreds of prostate tumors have defined a diverse landscape of mutations and genome rearrangements, but the transcriptomic effect of this complexity is less well understood, particularly at the individual tumor level. We selected a cohort of 25 high-risk prostate tumors, representing the lethal phenotype, and applied deep RNA-sequencing and matched whole genome sequencing, followed by detailed molecular characterization.

resultsTen tumors were exposed to neo-adjuvant hormone therapy and expressed marked evidence of therapy response in all except one extreme case, which demonstrated early resistance via apparent neuroendocrine transdifferentiation. We observe high inter-tumor heterogeneity, including unique sets of outlier transcripts in each tumor. Interestingly, outlier expression converged on druggable cellular pathways associated with cell cycle progression, translational control or immune regulation, suggesting distinct contemporary pathway affinity and a mechanism of tumor stratification. We characterize hundreds of novel fusion transcripts, including a high frequency of ETS fusions associated with complex genome rearrangements and the disruption of tumor suppressors. Remarkably, several tumors express unique but potentially-oncogenic non-ETS fusions, which may contribute to the phenotype of individual tumors, and have significance for disease progression. Finally, one ETS-negative tumor has a striking tandem duplication genotype which appears to be highly aggressive and present at low recurrence in ETS-negative prostate cancer, suggestive of a novel molecular subtype.

conclusionsThe multitude of rare genomic and transcriptomic events detected in a high-risk tumor cohort offer novel opportunities for personalized oncology and their convergence on key pathways and functions has broad implications for precision medicine.

Indexed as

Gene Expression Regulation, NeoplasticGenetic HeterogeneityAntineoplastic Agents, HormonalChemotherapy, AdjuvantDrug Resistance, NeoplasmGene Expression ProfilingGenetic VariationHigh-Throughput Nucleotide SequencingHumansMaleOncogene Proteins, FusionPhenotypeProstatic NeoplasmsProto-Oncogene Proteins c-etsSequence Analysis, RNAAntineoplastic Agents, HormonalOncogene Proteins, FusionProto-Oncogene Proteins c-ets

Identifiers

PMID25155515
PMCPMC4169643
OpenAlexW2109103692

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.