Investig Clin Urol.  2019 Jul;60(4):227-234. 10.4111/icu.2019.60.4.227.

Genomic analysis of Korean patients with advanced prostate cancer by use of a comprehensive next-generation sequencing panel and low-coverage, whole-genome sequencing

Affiliations
  • 1Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. hwanggyun.jeon@samsung.com
  • 2Green Cross Genome, Yongin, Korea.
  • 3Department of Bioinformatics, Soongsil University, Seoul, Korea.
  • 4Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.

Abstract

PURPOSE
To analyze the characteristics of somatic mutations and copy number alterations (CNAs) in Korean patients with advanced prostate cancer (PCa) by use of the Oncomine Comprehensive Panel (ThermoFisher Scientific) and low-coverage, whole-genome sequencing (LC-WGS).
MATERIALS AND METHODS
We retrospectively analyzed PCa tissues obtained from 14 patients with advanced PCa (metastatic tumor, 12 [85.7%]; nonmetastatic castration-resistant PCa, 1 [7.1%]; pT3b, 1 [7.1%]) from 2009 to 2017. The Oncomine Comprehensive Panel included a total of 143 genes. Moreover, LC-WGS was performed to detect CNAs of the entire genome. Two plasma samples matched with tumor tissues were analyzed using LC-WGS to compare the chromosomal aberration patterns between circulating tumor DNA and tumor tissue.
RESULTS
Genetic alterations were most frequently observed in the androgen receptor (AR) (42.9%, n=6/14), TP53 (14.3%, n=2/14), and PTEN (14.3%, n=2/14) genes in the Oncomine panel. AR amplification was the most common CNA (35.7%, n=5/14). As a result of LC-WGS, CNAs were confirmed in about 92.9% (n=13/14) of the samples in regions Xq12, 8q24.21, and 11q13.3 (gains) and in regions 6q16.1, 8p23.1, 10q25.1, 16q24.2, 18q12.3, Xq25, and Xq26.3 (losses). All CNAs identified in the Oncomine panel matched the results of LC-WGS. Additionally, LC-WGS of two plasma samples that matched tumor tissues revealed that CNA patterns of plasma samples (circulating tumor DNA) were very similar to those detected in tumor samples.
CONCLUSIONS
Our data showed that the characteristics of mutations and CNAs in Korean patients with advanced PCa were similar to those observed in previous studies.

Keyword

Prostatic neoplasms; Sequence analysis, DNA; Whole genome sequencing

MeSH Terms

Chromosome Aberrations
DNA
Genome
Humans
Passive Cutaneous Anaphylaxis
Plasma
Prostate*
Prostatic Neoplasms*
Receptors, Androgen
Retrospective Studies
Sequence Analysis, DNA
DNA
Receptors, Androgen

Figure

  • Fig. 1 Genomic alterations detected in 14 patients with advanced prostate cancer by use of the Oncomine Comprehensive Panel.

  • Fig. 2 Circos plot of low-coverage, whole-genome sequencing analysis of 14 patients with advanced prostate cancer. The innermost sample has the lowest copy number alterations, and the outermost has the highest copy number alterations.

  • Fig. 3 Comparison of copy number alterations by low-coverage, whole-genome sequencing between circulating tumor DNA (ctDNA) and cancer tissues from two patients (A and B) with metastatic prostate cancer.


Reference

1. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015; 65:87–108. PMID: 25651787.
Article
2. Cooperberg MR, Chan JM. Epidemiology of prostate cancer. World J Urol. 2017; 35:849. PMID: 28509969.
Article
3. Sartor O, de Bono JS. Metastatic prostate cancer. N Engl J Med. 2018; 378:1653–1654.
Article
4. Ritch CR, Cookson MS. Advances in the management of castration resistant prostate cancer. BMJ. 2016; 355:i4405. PMID: 27754846.
Article
5. Gandhi J, Afridi A, Vatsia S, Joshi G, Joshi G, Kaplan SA, et al. The molecular biology of prostate cancer: current understanding and clinical implications. Prostate Cancer Prostatic Dis. 2018; 21:22–36. PMID: 29282359.
6. Grasso CS, Wu YM, Robinson DR, Cao X, Dhanasekaran SM, Khan AP, et al. The mutational landscape of lethal castration-resistant prostate cancer. Nature. 2012; 487:239–243. PMID: 22722839.
Article
7. Barbieri CE, Bangma CH, Bjartell A, Catto JW, Culig Z, Gronberg H, et al. The mutational landscape of prostate cancer. Eur Urol. 2013; 64:567–576. PMID: 23759327.
Article
8. Cancer Genome Atlas Research N. The molecular taxonomy of primary prostate cancer. Cell. 2015; 163:1011–1025. PMID: 26544944.
9. Robinson D, Van Allen EM, Wu YM, Schultz N, Lonigro RJ, Mosquera JM, et al. Integrative clinical genomics of advanced prostate cancer. Cell. 2015; 161:1215–1228. PMID: 26000489.
Article
10. Pritchard CC, Mateo J, Walsh MF, De Sarkar N, Abida W, Beltran H, et al. Inherited DNA-repair gene mutations in men with metastatic prostate cancer. N Engl J Med. 2016; 375:443–453. PMID: 27433846.
Article
11. Mateo J, Carreira S, Sandhu S, Miranda S, Mossop H, Perez-Lopez R, et al. DNA-repair defects and olaparib in metastatic prostate cancer. N Engl J Med. 2015; 373:1697–1708. PMID: 26510020.
Article
12. Koo KC, Lee KS, Chung BH. Urologic cancers in Korea. Jpn J Clin Oncol. 2015; 45:805–811. PMID: 26117494.
Article
13. Hussain MH. The role of genomics in patients with advanced prostate cancer. Clin Adv Hematol Oncol. 2017; 15:770–772. PMID: 29040256.
14. Quigley DA, Dang HX, Zhao SG, Lloyd P, Aggarwal R, Alumkal JJ, et al. Genomic hallmarks and structural variation in metastatic prostate cancer. Cell. 2018; 174:758–769.e9. PMID: 30033370.
Article
15. Gao T, Mei Y, Sun H, Nie Z, Liu X, Wang S. The association of Phosphatase and tensin homolog (PTEN) deletion and prostate cancer risk: a meta-analysis. Biomed Pharmacother. 2016; 83:114–121. PMID: 27470558.
Article
16. Robinson D, Van Allen EM, Wu YM, Schultz N, Lonigro RJ, Mosquera JM, et al. Integrative clinical genomics of advanced prostate cancer [Erratum]. Cell. 2015; 162:454. PMID: 28843286.
17. Wyatt AW, Annala M, Aggarwal R, Beja K, Feng F, Youngren J, et al. Concordance of circulating tumor DNA and matched metastatic tissue biopsy in prostate cancer. J Natl Cancer Inst. 2017; 109.
Article
18. Annala M, Vandekerkhove G, Khalaf D, Taavitsainen S, Beja K, Warner EW, et al. Circulating tumor DNA genomics correlate with resistance to abiraterone and enzalutamide in prostate cancer. Cancer Discov. 2018; 8:444–457. PMID: 29367197.
Article
19. Morrison GJ, Goldkorn A. Development and application of liquid biopsies in metastatic prostate cancer. Curr Oncol Rep. 2018; 20:35. PMID: 29572775.
Article
20. Ritch E, Wyatt AW. Predicting therapy response and resistance in metastatic prostate cancer with circulating tumor DNA. Urol Oncol. 2018; 36:380–384. PMID: 29248429.
Article
Full Text Links
  • ICU
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr