Evidence map›Paper›PMID 34280123›Full record

ArticleEndocrine-related cancer2021

AR gene rearrangement analysis in liquid biopsies reveals heterogeneity in lethal prostate cancer.

Mark Daniel, Todd P Knutson, Jamie M Sperger, Yingming Li, Anupama Singh, Charlotte N Stahlfeld, Courtney Passow, Benjamin Auch, Joshua M Lang, Scott M Dehm

Open access · greenAbstract read
In one paragraph

Article in Endocrine-related cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Co-evolution ofNAR cancer · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Review
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

10 authors at 3 institutions in 1 country.

Mark DanielMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-3268-5919
Todd P KnutsonUniversity of Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-8431-9964
Jamie M SpergerDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Yingming LiMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA.
Anupama SinghCarbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Charlotte N StahlfeldDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Courtney PassowUniversity of Minnesota Genomics Center, University of Minnesota, Minneapolis, Minnesota, USA.
Benjamin AuchUniversity of Minnesota Genomics Center, University of Minnesota, Minneapolis, Minnesota, USA.
Joshua M LangDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Scott M DehmMasonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA.
University of Minnesota · USUniversity of Wisconsin Carbone Cancer Center · USUniversity of Wisconsin–Madison · US

Funding

AR Gene Rearrangements and AR Signaling in Prostate CancerR01CA174777 · NCI · UNIVERSITY OF MINNESOTA · PI Scott M. Dehm · 2013 to 2026
$4.9M
Clinical genomic predictive model of first line androgen receptor inhibitor therapy outcomes in men with mCRPCR01CA256157 · NCI · DUKE UNIVERSITY · PI ARMSTRONG, ANDREW J, DEHM, SCOTT M. · 2020 to 2025
$3.2M
NCI NIH HHS R01 CA174777NCI NIH HHS R01 CA256157
6 · The paper itself

Abstract

Castration-resistant prostate cancer (CRPC) is driven by AR gene aberrations that arise during androgen receptor (AR)-targeted therapy. AR amplification and mutations have been profiled in circulating tumor cells (CTCs), but whether AR gene rearrangements can be assessed in CTCs is unknown. In this study, we leveraged CRPC cell lines with defined AR gene rearrangements to develop and validate a CTC DNA analysis approach that utilized whole genome amplification and targeted DNA-sequencing of AR and other genes important in CRPC. We tested the utility of this approach by analyzing matched CTC DNA and plasma cell-free DNA (cfDNA) from a case series of ten CRPC patients. One of ten CTC samples and two of ten cfDNA samples were positive for AR gene rearrangements. All AR gene rearrangements were discordant between matched liquid biopsy samples. One patient harbored separate AR gene rearrangements in CTC DNA and cfDNA, but concordant AR amplification and AR T878A mutation. This patient also displayed concordant loss of TP53 and PTEN, but the loss of RB1 in cfDNA only. The overall frequency of discordant alterations in these genes between matched CTC DNA and cfDNA was high. This study establishes the technical feasibility of analyzing structural rearrangements, mutations, and copy number variants in AR and other CRPC genes using two different sources of DNA from a single blood sample. Paired CTC DNA and cfDNA analysis may have utility for capturing the heterogeneity of genetic alterations in CRPC patients.

Indexed as

Cell-Free Nucleic AcidsNeoplastic Cells, CirculatingProstatic Neoplasms, Castration-ResistantGene RearrangementHumansLiquid BiopsyMaleReceptors, AndrogenCell-Free Nucleic AcidsReceptors, Androgenandrogen receptorAR gene rearrangementscastration-resistant prostate cancercell-free DNAcirculating tumor cells

Identifiers

PMID34280123
PMCPMC8363559
OpenAlexW3183819690

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.