BACKGROUND: Prostate cancer (PCa) is a clinically and pathologically heterogeneous disease. The rapid development of sequencing technology has the potential to deliver new biomarkers with emphasis on aggressive disease and to revolutionise personalised cancer treatment. However, a prostate harbouring cancer commonly contains multiple separate tumour foci, with the potential to aggravate tumour sampling. The level of intraprostatic tumour heterogeneity remains to be determined. OBJECTIVE: To determine the level of intraprostatic tumour heterogeneity through genome-wide, high-resolution profiling of multiple tumour samples from the same individual. DESIGN, SETTINGS, AND PARTICIPANTS: Multiple tumour samples were obtained from four individuals following radical prostatectomy. One individual (SWE-1) contained >70% cancer cells in all tumour samples, whereas the other three (SWE-2 to SWE-4) required the use of laser capture microdissection for tumour cell enrichment. Subsequently, DNA was extracted from all tissue samples, and exome sequencing was performed. All tumour foci of SWE-1 were also profiled using a high-resolution array for the identification of copy number alterations (CNA). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Shared somatic high-frequency single nucleotide variants (SNV) and CNAs were used to infer the level of intraprostatic tumour heterogeneity. RESULTS AND LIMITATIONS: No high-frequency mutations, common for the three tumour samples of SWE-1, were identified. Ten randomly chosen positions were validated with Sanger sequencing in all foci, which verified the exome data. The high level of intraprostatic heterogeneity was consistent in all individuals. In total, three out of four individuals harboured tumours without an apparent common somatic denominator. Although we cannot exclude the presence of common structural rearrangements, a high-density array was used for the detection of deletions and amplifications in SWE-1, which agreed with the exome data. CONCLUSIONS: We present evidence for the presence of somatically independent tumours within the same prostate. This finding will have implications for personalised cancer treatment and biomarker discovery.
BACKGROUND:Prostate cancer (PCa) is a clinically and pathologically heterogeneous disease. The rapid development of sequencing technology has the potential to deliver new biomarkers with emphasis on aggressive disease and to revolutionise personalised cancer treatment. However, a prostate harbouring cancer commonly contains multiple separate tumour foci, with the potential to aggravate tumour sampling. The level of intraprostatic tumour heterogeneity remains to be determined. OBJECTIVE: To determine the level of intraprostatic tumour heterogeneity through genome-wide, high-resolution profiling of multiple tumour samples from the same individual. DESIGN, SETTINGS, AND PARTICIPANTS: Multiple tumour samples were obtained from four individuals following radical prostatectomy. One individual (SWE-1) contained >70% cancer cells in all tumour samples, whereas the other three (SWE-2 to SWE-4) required the use of laser capture microdissection for tumour cell enrichment. Subsequently, DNA was extracted from all tissue samples, and exome sequencing was performed. All tumour foci of SWE-1 were also profiled using a high-resolution array for the identification of copy number alterations (CNA). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Shared somatic high-frequency single nucleotide variants (SNV) and CNAs were used to infer the level of intraprostatic tumour heterogeneity. RESULTS AND LIMITATIONS: No high-frequency mutations, common for the three tumour samples of SWE-1, were identified. Ten randomly chosen positions were validated with Sanger sequencing in all foci, which verified the exome data. The high level of intraprostatic heterogeneity was consistent in all individuals. In total, three out of four individuals harboured tumours without an apparent common somatic denominator. Although we cannot exclude the presence of common structural rearrangements, a high-density array was used for the detection of deletions and amplifications in SWE-1, which agreed with the exome data. CONCLUSIONS: We present evidence for the presence of somatically independent tumours within the same prostate. This finding will have implications for personalised cancer treatment and biomarker discovery.
Authors: Christopher E Barbieri; Chris H Bangma; Anders Bjartell; James W F Catto; Zoran Culig; Henrik Grönberg; Jun Luo; Tapio Visakorpi; Mark A Rubin Journal: Eur Urol Date: 2013-05-18 Impact factor: 20.096
Authors: Paul C Boutros; Michael Fraser; Nicholas J Harding; Richard de Borja; Dominique Trudel; Emilie Lalonde; Alice Meng; Pablo H Hennings-Yeomans; Andrew McPherson; Veronica Y Sabelnykova; Amin Zia; Natalie S Fox; Julie Livingstone; Yu-Jia Shiah; Jianxin Wang; Timothy A Beck; Cherry L Have; Taryne Chong; Michelle Sam; Jeremy Johns; Lee Timms; Nicholas Buchner; Ada Wong; John D Watson; Trent T Simmons; Christine P'ng; Gaetano Zafarana; Francis Nguyen; Xuemei Luo; Kenneth C Chu; Stephenie D Prokopec; Jenna Sykes; Alan Dal Pra; Alejandro Berlin; Andrew Brown; Michelle A Chan-Seng-Yue; Fouad Yousif; Robert E Denroche; Lauren C Chong; Gregory M Chen; Esther Jung; Clement Fung; Maud H W Starmans; Hanbo Chen; Shaylan K Govind; James Hawley; Alister D'Costa; Melania Pintilie; Daryl Waggott; Faraz Hach; Philippe Lambin; Lakshmi B Muthuswamy; Colin Cooper; Rosalind Eeles; David Neal; Bernard Tetu; Cenk Sahinalp; Lincoln D Stein; Neil Fleshner; Sohrab P Shah; Colin C Collins; Thomas J Hudson; John D McPherson; Theodorus van der Kwast; Robert G Bristow Journal: Nat Genet Date: 2015-05-25 Impact factor: 38.330
Authors: Mirjam Blattner; Daniel J Lee; Catherine O'Reilly; Kyung Park; Theresa Y MacDonald; Francesca Khani; Kevin R Turner; Ya-Lin Chiu; Peter J Wild; Igor Dolgalev; Adriana Heguy; Andrea Sboner; Sinan Ramazangolu; Haley Hieronymus; Charles Sawyers; Ashutosh K Tewari; Holger Moch; Ghil Suk Yoon; Yong Chul Known; Ove Andrén; Katja Fall; Francecsa Demichelis; Juan Miguel Mosquera; Brian D Robinson; Christopher E Barbieri; Mark A Rubin Journal: Neoplasia Date: 2014-01 Impact factor: 5.715
Authors: Thomas Whitington; Ping Gao; Wei Song; Helen Ross-Adams; Alastair D Lamb; Yuehong Yang; Ilaria Svezia; Daniel Klevebring; Ian G Mills; Robert Karlsson; Silvia Halim; Mark J Dunning; Lars Egevad; Anne Y Warren; David E Neal; Henrik Grönberg; Johan Lindberg; Gong-Hong Wei; Fredrik Wiklund Journal: Nat Genet Date: 2016-03-07 Impact factor: 38.330
Authors: Lei Wei; Jianmin Wang; Erika Lampert; Simon Schlanger; Adam D DePriest; Qiang Hu; Eduardo Cortes Gomez; Mitsuko Murakam; Sean T Glenn; Jeffrey Conroy; Carl Morrison; Gissou Azabdaftari; James L Mohler; Song Liu; Hannelore V Heemers Journal: Eur Urol Date: 2016-07-21 Impact factor: 20.096