Evidence map›Paper›PMID 36045381›Full record

ArticleGenome medicine2022

Genome-wide interrogation of structural variation reveals novel African-specific prostate cancer oncogenic drivers.

Tingting Gong, Weerachai Jaratlerdsiri, Jue Jiang, Cali Willet, Tracy Chew, Sean M Patrick, Ruth J Lyons, Anne-Maree Haynes, Gabriela Pasqualim, Ilma Simoni Brum and 7 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 8 institutions in 5 countries.

Tingting GongAncestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.
Weerachai JaratlerdsiriAncestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.
Jue JiangAncestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.
Cali WilletSydney Informatics Hub, University of Sydney, Sydney, NSW, Australia.
Tracy ChewSydney Informatics Hub, University of Sydney, Sydney, NSW, Australia.
Sean M PatrickSchool of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa.
Ruth J LyonsGenomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
Anne-Maree HaynesGenomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
Gabriela PasqualimEndocrine and Tumor Molecular Biology Laboratory, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Ilma Simoni BrumEndocrine and Tumor Molecular Biology Laboratory, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Phillip D StrickerGenomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
Shingai B A MutambirwaDepartment of Urology, Sefako Makgatho Health Science University, Dr George Mukhari Academic Hospital, Medunsa, Ga-Rankuwa, South Africa.
Rosemarie SadsadSydney Informatics Hub, University of Sydney, Sydney, NSW, Australia.
Anthony T PapenfussBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
Riana M S BornmanSchool of Health Systems and Public Health, University of Pretoria, Pretoria, South Africa.
Eva K F ChanGenomics and Epigenetics Theme, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
Vanessa M HayesAncestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia. vanessa.hayes@sydney.edu.au.ORCID 0000-0002-4524-7280
The University of Sydney · AUGarvan Institute of Medical Research · AUUniversity of Pretoria · ZANew South Wales Department of Health · AUSefako Makgatho Health Sciences University · ZAThe University of Melbourne · AUUniversidade Federal do Rio Grande · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfrican ancestry is a significant risk factor for advanced prostate cancer (PCa). Mortality rates in sub-Saharan Africa are 2.5-fold greater than global averages. However, the region has largely been excluded from the benefits of whole genome interrogation studies. Additionally, while structural variation (SV) is highly prevalent, PCa genomic studies are still biased towards small variant interrogation.

methodsUsing whole genome sequencing and best practice workflows, we performed a comprehensive analysis of SVs for 180 (predominantly Gleason score ≥ 8) prostate tumours derived from 115 African, 61 European and four ancestrally admixed patients. We investigated the landscape and relationship of somatic SVs in driving ethnic disparity (African versus European), with a focus on African men from southern Africa.

resultsDuplication events showed the greatest ethnic disparity, with a 1.6- (relative frequency) to 2.5-fold (count) increase in African-derived tumours. Furthermore, we found duplication events to be associated with CDK12 inactivation and MYC copy number gain, and deletion events associated with SPOP mutation. Overall, African-derived tumours were 2-fold more likely to present with a hyper-SV subtype. In addition to hyper-duplication and deletion subtypes, we describe a new hyper-translocation subtype. While we confirm a lower TMPRSS2-ERG fusion-positive rate in tumours from African cases (10% versus 33%), novel African-specific PCa ETS family member and TMPRSS2 fusion partners were identified, including LINC01525, FBXO7, GTF3C2, NTNG1 and YPEL5. Notably, we found 74 somatic SV hotspots impacting 18 new candidate driver genes, with CADM2, LSAMP, PTPRD, PDE4D and PACRG having therapeutic implications for African patients.

conclusionsIn this first African-inclusive SV study for high-risk PCa, we demonstrate the power of SV interrogation for the identification of novel subtypes, oncogenic drivers and therapeutic targets. Identifying a novel spectrum of SVs in tumours derived from African patients provides a mechanism that may contribute, at least in part, to the observed ethnic disparity in advanced PCa presentation in men of African ancestry.

Indexed as

Prostatic NeoplasmsBlack PeopleCarcinogenesisHumansMaleMutationNeoplasm GradingNuclear ProteinsRepressor ProteinsNuclear ProteinsRepressor ProteinsSPOP protein, humanAdvanced diseaseAfrican ancestryChromosomal instabilityEthnic disparityProstate cancerWhole genome sequencing

Identifiers

PMID36045381
PMCPMC9434886
OpenAlexW4293802433

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.