Evidence map›Paper›PMID 37563129›Full record

ArticleNature communications2023

Copy number architectures define treatment-mediated selection of lethal prostate cancer clones.

A M Mahedi Hasan, Paolo Cremaschi, Daniel Wetterskog, Anuradha Jayaram, Stephen Q Wong, Scott Williams, Anupama Pasam, Anna Trigos, Blanca Trujillo, Emily Grist and 14 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

9 citing papers in PubMed, 10 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

24 authors at 20 institutions in 2 countries.

A M Mahedi Hasan *University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-8334-6490
Paolo Cremaschi *University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0001-5349-4188
Daniel Wetterskog *University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0003-4163-6438
Anuradha JayaramUniversity College London Cancer Institute, London, UK.
Stephen Q WongPeter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Scott WilliamsThe Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia.
Anupama PasamPeter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Anna TrigosPeter MacCallum Cancer Centre, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-5915-2952
Blanca TrujilloUniversity College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-5541-9699
Emily GristUniversity College London Cancer Institute, London, UK.
Stefanie FriedrichUniversity College London Cancer Institute, London, UK.
Osvaldas VainauskasUniversity College London Cancer Institute, London, UK.
Marina ParryUniversity College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0003-3278-9491
Mazlina IsmailUniversity College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-1514-3819
Wout DevliesUniversity College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0003-0725-6300
Anna WingateUniversity College London Cancer Institute, London, UK.
Mark LinchUniversity College London Cancer Institute, London, UK.
Cristina Naceur-LombardelliUniversity College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-7097-0307
PEACE consortium
Charles SwantonCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0002-4299-3018
Mariam Jamal-HanjaniCancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.ORCID http://orcid.org/0000-0003-1212-1259
Stefano LiseUniversity College London Cancer Institute, London, UK.
Shahneen SandhuPeter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Gerhardt AttardUniversity College London Cancer Institute, London, UK. g.attard@ucl.ac.uk.ORCID http://orcid.org/0000-0002-4811-7983
Royal Marsden NHS Foundation Trust · GBThe Francis Crick Institute · GBLondon Cancer · GBRoyal London Hospital · GBHeart of England NHS Foundation Trust · GBGuy's and St Thomas' NHS Foundation Trust · GBCancer Research UK · GBAddenbrooke's Hospital · GBPeter MacCallum Cancer Centre · AUUniversity Hospitals of Leicester NHS Trust · GBUniversity of Cambridge · GBCancer Research UK Scotland Institute · GBThe Christie Hospital · GBThe Christie NHS Foundation Trust · GBThe University of Melbourne · AUUniversity Hospital Southampton NHS Foundation Trust · GBWellcome Sanger Institute · GBThe Patients Association · GBThe Royal Free Hospital · GBUniversity of Manchester · GB

Funding

Cancer Research UK 17786Cancer Research UK 21999Cancer Research UK 29569Cancer Research UK 29911Cancer Research UK 30025Cancer Research UK CTRNBC-2022/100001Cancer Research UK CTUQQR-DEC22/100009Medical Research Council MR/P002072/1Wellcome Trust CC2041
6 · The paper itself

Abstract

Despite initial responses to hormone treatment, metastatic prostate cancer invariably evolves to a lethal state. To characterize the intra-patient evolutionary relationships of metastases that evade treatment, we perform genome-wide copy number profiling and bespoke approaches targeting the androgen receptor (AR) on 167 metastatic regions from 11 organs harvested post-mortem from 10 men who died from prostate cancer. We identify diverse and patient-unique alterations clustering around the AR in metastases from every patient with evidence of independent acquisition of related genomic changes within an individual and, in some patients, the co-existence of AR-neutral clones. Using the genomic boundaries of pan-autosome copy number changes, we confirm a common clone of origin across metastases and diagnostic biopsies, and identified in individual patients, clusters of metastases occupied by dominant clones with diverged autosomal copy number alterations. These autosome-defined clusters are characterized by cluster-specific AR gene architectures, and in two index cases are topologically more congruent than by chance (p-values 3.07 × 10

Indexed as

DNA Copy Number VariationsProstatic NeoplasmsClone CellsGenomeGenomicsHumansMaleReceptors, AndrogenReceptors, Androgen

Identifiers

PMID37563129
PMCPMC10415299
OpenAlexW4385722875

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.