Evidence map›Paper›PMID 30131529›Full record

ArticleScientific reports2018

Mutant allele quantification reveals a genetic basis for TP53 mutation-driven castration resistance in prostate cancer cells.

Kefeng Lei, Ran Sun, Lee H Chen, Bill H Diplas, Casey J Moure, Wenzhe Wang, Landon J Hansen, Yulei Tao, Xufeng Chen, Chin-Pu Jason Chen and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Predicting clinical outcome of therapy-resistant prostate cancer.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

16 authors at 3 institutions in 2 countries.

Kefeng LeiDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Ran SunDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Lee H ChenDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Bill H DiplasDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.ORCID 0000-0001-9248-7351
Casey J MoureDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Wenzhe WangDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.ORCID 0000-0001-6797-0878
Landon J HansenDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Yulei TaoDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Xufeng ChenDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Chin-Pu Jason ChenDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Paula K GreerDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Fangping ZhaoGenetron Health, Durham, NC, 27709, USA.
Hai YanDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Darell D BignerDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Jiaoti HuangDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA.
Yiping HeDepartment of Pathology, Duke University Medical Center, Durham, NC, 27710, USA. yiping.he@duke.edu.
Duke Medical Center · USDuke University · USUnion Hospital · CN

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
Training Program in Developmental & Stem Cell BiologyT32HD040372 · NICHD · DUKE UNIVERSITY · PI Terry H Lechler · 2001 to 2026
$8.9M
Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
Exploiting MTAP deletion for GBM therapeuticsR01NS101074 · NINDS · DUKE UNIVERSITY · PI HE, YIPING · 2017 to 2021
$1.7M
China Scholarship Council (CSC) 201506175043Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LY13H160039Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LY18H160039NICHD NIH HHS T32 HD040372NIGMS NIH HHS T32 GM007171NIGMS NIH HHS T32 GM145449NINDS NIH HHS R01 NS101074
6 · The paper itself

Abstract

The concept that human cancer is in essence a genetic disease driven by gene mutations has been well established, yet its utilization in functional studies of cancer genes has not been fully explored. Here, we describe a simple genetics-based approach that can quickly and sensitively reveal the effect of the alteration of a gene of interest on the fate of its host cells within a heterogeneous population, essentially monitoring the genetic selection that is associated with and powers the tumorigenesis. Using this approach, we discovered that loss-of-function of TP53 can promote the development of resistance of castration in prostate cancer cells via both transiently potentiating androgen-independent cell growth and facilitating the occurrence of genome instability. The study thus reveals a novel genetic basis underlying the development of castration resistance in prostate cancer cells and provides a facile genetic approach for studying a cancer gene of interest in versatile experimental conditions.

Indexed as

Loss of Function MutationAnimalsCell Line, TumorCell ProliferationGenomic InstabilityHCT116 CellsHEK293 CellsHumansMaleMiceProstatic Neoplasms, Castration-ResistantTumor Suppressor Protein p53Xenograft Model Antitumor AssaysTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID30131529
PMCPMC6104024
OpenAlexW2887327884

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.