Evidence map›Paper›PMID 30702443›Full record

ArticleJCI insight2019

Multiparametric liquid biopsy analysis in metastatic prostate cancer.

Emmanuelle Hodara, Gareth Morrison, Alexander Cunha, Daniel Zainfeld, Tong Xu, Yucheng Xu, Paul W Dempsey, Paul C Pagano, Farideh Bischoff, Aditi Khurana and 13 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
7.0field-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.

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

31 citing papers in PubMed, 68 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Liquid biopsy to personalize treatment for metastatic prostate cancer.American journal of translational research · 2024
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Combinatorial Power of cfDNA, CTCs and EVs in Oncology.Diagnostics (Basel, Switzerland) · 2022
    Review
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  18. Current status of ctDNA in precision oncology for hepatocellular carcinoma.Journal of experimental & clinical cancer research : CR · 2021
    Review
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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

23 authors at 7 institutions in 1 country.

Emmanuelle HodaraDepartment of Medicine, University of Southern California (USC) Keck School of Medicine and Norris Comprehensive Cancer Center (NCCC), Los Angeles, California, USA.
Gareth MorrisonDepartment of Medicine, University of Southern California (USC) Keck School of Medicine and Norris Comprehensive Cancer Center (NCCC), Los Angeles, California, USA.
Alexander CunhaDepartment of Medicine, University of Southern California (USC) Keck School of Medicine and Norris Comprehensive Cancer Center (NCCC), Los Angeles, California, USA.
Daniel ZainfeldDepartment of Medicine, University of Southern California (USC) Keck School of Medicine and Norris Comprehensive Cancer Center (NCCC), Los Angeles, California, USA.
Tong XuDepartment of Medicine, University of Southern California (USC) Keck School of Medicine and Norris Comprehensive Cancer Center (NCCC), Los Angeles, California, USA.
Yucheng XuDepartment of Medicine, University of Southern California (USC) Keck School of Medicine and Norris Comprehensive Cancer Center (NCCC), Los Angeles, California, USA.
Paul W DempseyCynvenio Biosystems Inc., Westlake Village, California, USA.
Paul C PaganoCynvenio Biosystems Inc., Westlake Village, California, USA.
Farideh BischoffMenarini Silicon Biosystems, San Diego, California, USA.
Aditi KhuranaResearchDx, Irvine, California, USA.
Samuel KooResearchDx, Irvine, California, USA.
Marc TingResearchDx, Irvine, California, USA.
Philip D CotterResearchDx, Irvine, California, USA.
Mathew W MooreResearchDx, Irvine, California, USA.
Shelly GunnResearchDx, Irvine, California, USA.
Joshua UsherLiquid Genomics, Torrance, California, USA.
Shahrooz RabizadehNantHealth, Culver City, California, USA.
Peter DanenbergDepartment of Biochemistry and Molecular Medicine and.
Kathleen DanenbergLiquid Genomics, Torrance, California, USA.
John CarptenDepartment of Translational Genomics, USC Keck School of Medicine and NCCC, Los Angeles, California, USA.
Tanya DorffDepartment of Medicine, University of Southern California (USC) Keck School of Medicine and Norris Comprehensive Cancer Center (NCCC), Los Angeles, California, USA.
David QuinnDepartment of Medicine, University of Southern California (USC) Keck School of Medicine and Norris Comprehensive Cancer Center (NCCC), Los Angeles, California, USA.
Amir GoldkornDepartment of Medicine, University of Southern California (USC) Keck School of Medicine and Norris Comprehensive Cancer Center (NCCC), Los Angeles, California, USA.
University of Southern California · USUniversity of California, Irvine · USID Genomics (United States) · USLungLife AI (United States) · USKeck Hospital of USC · USNantWorks (United States) · USSilicon Labs (United States) · US

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
NCI NIH HHS P30 CA014089
6 · The paper itself

Abstract

Molecular profiling of prostate cancer with liquid biopsies, such as circulating tumor cells (CTCs) and cell-free nucleic acid analysis, yields informative yet distinct data sets. Additional insights may be gained by simultaneously interrogating multiple liquid biopsy components to construct a more comprehensive molecular disease profile. We conducted an initial proof-of-principle study aimed at piloting this multiparametric approach. Peripheral blood samples from men with metastatic castrate-resistant prostate cancer were analyzed simultaneously for CTC enumeration, single-cell copy number variations, CTC DNA and matched cell-free DNA mutations, and plasma cell-free RNA levels of androgen receptor (AR) and AR splice variant (ARV7). In addition, liquid biopsies were compared with matched tumor profiles when available, and a second liquid biopsy was drawn and analyzed at disease progression in a subset of patients. In this manner, multiparametric liquid biopsy profiles were successfully generated for each patient and time point, demonstrating the feasibility of this approach and highlighting shared as well as unique cancer-relevant alterations. With further refinement and validation in large cohorts, multiparametric liquid biopsies can optimally integrate disparate but clinically informative data sets and maximize their utility for molecularly directed, real-time patient management.

Indexed as

AgedAged, 80 and overBiomarkers, TumorCell-Free Nucleic AcidsDisease ProgressionDNA Copy Number VariationsGene Expression ProfilingHumansLiquid BiopsyMaleMiddle AgedMutationNeoplastic Cells, CirculatingProstatic NeoplasmsReceptors, AndrogenAR protein, humanBiomarkers, TumorCell-Free Nucleic AcidsReceptors, AndrogenExpression profilingMolecular geneticsOncologyProstate cancer

Identifiers

PMID30702443
PMCPMC6483502
OpenAlexW2912922181

What OpenQuestion holds

Textmetadata
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.