Evidence map›Paper›PMID 36209207›Full record

ArticleCancer cell international2022

Optical genome mapping identifies clinically relevant genomic rearrangements in prostate cancer biopsy sample.

Yeeun Shim, Jongsoo Lee, Jieun Seo, Cheol Keun Park, Saeam Shin, Hyunho Han, Seung-Tae Lee, Jong Rak Choi, Byung Ha Chung, Young Deuk Choi

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2022. 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
1.1field-weighted citation impact, top 23% 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, 14 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

10 authors at 2 institutions in 2 countries.

Yeeun Shim *Department of Laboratory Medicine, Graduate School of Medical Science, Brain Korea 21 project, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jongsoo Lee *Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jieun SeoDepartment of Genetics, School of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Cheol Keun ParkDepartment of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Saeam ShinDepartment of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea. saeam0304@yuhs.ac.
Hyunho HanDepartment of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea. tintal@yuhs.ac.
Seung-Tae LeeDepartment of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jong Rak ChoiDepartment of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Byung Ha ChungDepartment of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Young Deuk ChoiDepartment of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yonsei University · KRWashington University in St. Louis · US

Funding

Gangnam Severance Hospital Prostate Cancer Center Research Committee DI00560
6 · The paper itself

Abstract

backgroundProstate cancer (PCa) is characterized by complex genomic rearrangements such as the ETS oncogene family fusions, yet the clinical relevance is not well established. While paneled genetic tests of DNA repair genes are recommended in advanced PCa, conventional genomic or cytogenetic tools are not ideal for genome-wide screening of structural variations (SVs) such as balanced translocation due to cost and/or resolution issues.

methodsIn this study, we tested the feasibility of whole-genome optical genomic mapping (OGM), a newly developed platform for genome-wide SV analysis to detect complex genomic rearrangements in consecutive unselected PCa samples from MRI/US-fusion targeted biopsy.

resultsWe tested ten samples, and nine (90%) passed quality check. Average mapping rate and coverage depth were 58.1 ± 23.7% and 157.3 ± 97.7×, respectively (mean ± SD). OGM detected copy number alterations such as chr6q13 loss and chr8q12-24 gain. Two adjacent tumor samples were distinguished by inter/intra-chromosomal translocations, revealing that they're from the same ancestor. Furthermore, OGM detected large deletion of chr13q13.1 accompanied by inter-chromosomal translocation t(13;20)(q13.1;p13) occurring within BRCA2 gene, suggesting complete loss of function.

conclusionIn conclusion, clinically relevant genomic SVs were successfully detected in PCa samples by OGM. We suggest that OGM can complement panel sequencing of DNA repair genes BRCA1/2 or ATM in high-risk PCa.

Indexed as

BRCA2Genomic rearrangementOptical genome mappingProstate cancerStructural variation

Identifiers

PMID36209207
PMCPMC9548106
OpenAlexW4303671973

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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.