Evidence map›Paper›PMID 29560343›Full record

ReviewFrontiers in oncology2018

Phenotypic Plasticity, Bet-Hedging, and Androgen Independence in Prostate Cancer: Role of Non-Genetic Heterogeneity.

Mohit Kumar Jolly, Prakash Kulkarni, Keith Weninger, John Orban, Herbert Levine

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

  1. Review
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  6. mNAR cancer · 2023
    Article
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16 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

5 authors.

Mohit Kumar JollyCenter for Theoretical Biological Physics, Rice University, Houston, TX, United States.
Prakash KulkarniInstitute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD, United States.
Keith WeningerDepartment of Physics, North Carolina State University, Raleigh, NC, United States.
John OrbanInstitute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD, United States.
Herbert LevineCenter for Theoretical Biological Physics, Rice University, Houston, TX, United States.

Funding

Structure and stability of 3_alpha vs alpha_beta foldsR01GM062154 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI BRYAN, PHILIP N, ORBAN, JOHN · 2002 to 2016
$3.2M
PAGE4 as a Novel Target for Prostate Cancer PreventionR21CA181730 · NCI · UNIV OF MARYLAND, COLLEGE PARK · PI KULKARNI, PRAKASH, ORBAN, JOHN · 2014 to 2015
$364k
NCI NIH HHS R21 CA181730NIGMS NIH HHS R01 GM062154
6 · The paper itself

Abstract

It is well known that genetic mutations can drive drug resistance and lead to tumor relapse. Here, we focus on alternate mechanisms-those without mutations, such as phenotypic plasticity and stochastic cell-to-cell variability that can also evade drug attacks by giving rise to drug-tolerant persisters. The phenomenon of persistence has been well-studied in bacteria and has also recently garnered attention in cancer. We draw a parallel between bacterial persistence and resistance against androgen deprivation therapy in prostate cancer (PCa), the primary standard care for metastatic disease. We illustrate how phenotypic plasticity and consequent mutation-independent or non-genetic heterogeneity possibly driven by protein conformational dynamics can stochastically give rise to androgen independence in PCa, and suggest that dynamic phenotypic plasticity should be considered in devising therapeutic dosing strategies designed to treat and manage PCa.

Indexed as

androgen independencebet-hedgingintermittent androgen therapynon-genetic heterogeneityphenotypic plasticitystochasticity

Identifiers

PMID29560343
PMCPMC5845637

What OpenQuestion holds

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Registered trials

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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.