Evidence map›Paper›PMID 35664542›Full record

ArticleNAR cancer2022

Allele-informed copy number evaluation of plasma DNA samples from metastatic prostate cancer patients: the PCF_SELECT consortium assay.

Francesco Orlando, Alessandro Romanel, Blanca Trujillo, Michael Sigouros, Daniel Wetterskog, Orsetta Quaini, Gianmarco Leone, Jenny Z Xiang, Anna Wingate, Scott Tagawa and 10 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in NAR cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06981377 (Development of the PRIME Test for the Identification of Prostate Cancer Patients' Biomarkers Through Non-invasive Liquid Biopsies), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-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.

NCT06981377 recruitingnot on this map

Development of the PRIME Test for the Identification of Prostate Cancer Patients' Biomarkers Through Non-invasive Liquid Biopsies

TypeobservationalSponsorSanta Chiara HospitalRan2019 to 2027Enrolled800ConditionsMetastatic Prostate CancerArmsAnalysis of cell free DNA, and extracellular vesicles (EVs) and EV-associated molecular components (including RNA, DNA, proteins)
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

20 authors at 8 institutions in 5 countries.

Francesco OrlandoDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Alessandro RomanelDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID https://orcid.org/0000-0003-4855-8620
Blanca TrujilloUCL Cancer Institute, University College London, London, UK.
Michael SigourosEnglander Institute for Precision Medicine, Presbyterian Hospital, Weill Cornell Medicine, NY, USA.ORCID https://orcid.org/0000-0002-0328-8359
Daniel WetterskogUCL Cancer Institute, University College London, London, UK.
Orsetta QuainiDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Gianmarco LeoneUCL Cancer Institute, University College London, London, UK.
Jenny Z XiangThe Genomics Resources Core Facility, Department of Microbiology and Immunology, Weill Cornell Medicine. NY, NY, USA.
Anna WingateUCL Cancer Institute, University College London, London, UK.
Scott TagawaDepartment of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine. NY, NY, USA.ORCID https://orcid.org/0000-0003-2777-8587
Anuradha JayaramUCL Cancer Institute, University College London, London, UK.
Mark LinchUCL Cancer Institute, University College London, London, UK.
PEACE Consortium
Mariam Jamal-HanjaniDepartment of Medical Oncology, University College London Hospitals, London NW1 2BU, UK.
Charles SwantonUCL Cancer Institute, University College London, London, UK.
Mark A RubinDepartment for BioMedical Research and Bern Center of Precision Medicine, University of Bern and Inselspital, Bern, Switzerland.
Alexander W WyattVancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada.
Himisha BeltranEnglander Institute for Precision Medicine, Presbyterian Hospital, Weill Cornell Medicine, NY, USA.
Gerhardt AttardUCL Cancer Institute, University College London, London, UK.
Francesca DemichelisDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.ORCID https://orcid.org/0000-0002-8266-8631
Cornell University · USCRUK Lung Cancer Centre of Excellence · GBUniversity College Hospital · GBRoyal London Hospital · GBUniversity of Trento · ITUniversity of British Columbia · CAThe Francis Crick Institute · GBUniversity of Bern · CH

Funding

Molecular mechanisms underlying lineage plasticity in prostate cancerR37CA241486 · NCI · DANA-FARBER CANCER INST · PI Himisha Beltran · 2020 to 2026
$4.1M
Cancer Research UK 17786Cancer Research UK 21999Cancer Research UK 29569Cancer Research UK 30025NCI NIH HHS R37 CA241486
6 · The paper itself

Abstract

Sequencing of cell-free DNA (cfDNA) in cancer patients' plasma offers a minimally-invasive solution to detect tumor cell genomic alterations to aid real-time clinical decision-making. The reliability of copy number detection decreases at lower cfDNA tumor fractions, limiting utility at earlier stages of the disease. To test a novel strategy for detection of allelic imbalance, we developed a prostate cancer bespoke assay, PCF_SELECT, that includes an innovative sequencing panel covering ∼25 000 high minor allele frequency SNPs and tailored analytical solutions to enable allele-informed evaluation. First, we assessed it on plasma samples from 50 advanced prostate cancer patients. We then confirmed improved detection of genomic alterations in samples with <10% tumor fractions when compared against an independent assay. Finally, we applied PCF_SELECT to serial plasma samples intensively collected from three patients previously characterized as harboring alterations involving DNA repair genes and consequently offered PARP inhibition. We identified more extensive pan-genome allelic imbalance than previously recognized in prostate cancer. We confirmed high sensitivity detection of

Identifiers

PMID35664542
PMCPMC9154344
OpenAlexW4281974175

What OpenQuestion holds

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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.