Correlation between genomic index lesions and mpMRI and 68Ga-PSMA-PET/CT imaging features in primary prostate cancer

被引:0
作者
Claudia Kesch
Jan-Philipp Radtke
Axel Wintsche
Manuel Wiesenfarth
Mariska Luttje
Claudia Gasch
Svenja Dieffenbacher
Carine Pecqueux
Dogu Teber
Gencay Hatiboglu
Joanne Nyarangi-Dix
Tobias Simpfendörfer
Gita Schönberg
Antonia Dimitrakopoulou-Strauss
Martin Freitag
Anette Duensing
Carsten Grüllich
Dirk Jäger
Michael Götz
Niels Grabe
Michal-Ruth Schweiger
Sascha Pahernik
Sven Perner
Esther Herpel
Wilfried Roth
Kathrin Wieczorek
Klaus Maier-Hein
Jürgen Debus
Uwe Haberkorn
Frederik Giesel
Jörg Galle
Boris Hadaschik
Heinz-Peter Schlemmer
Markus Hohenfellner
David Bonekamp
Holger Sültmann
Stefan Duensing
机构
[1] University Hospital Heidelberg,Department of Urology
[2] University of Leipzig,Interdisciplinary Center for Bioinformatics
[3] German Cancer Research Center (DKFZ),Division of Biostatistics
[4] University Medical Center Utrecht,Imaging Division
[5] German Cancer Research Center (DKFZ),Clinical Cooperation Unit Nuclear Medicine
[6] German Cancer Research Center (DKFZ),Department of Radiology
[7] Hillman Cancer Center,Cancer Therapeutics Program and Department of Pathology
[8] University of Pittsburgh School of Medicine,Department of Medical Oncology
[9] National Center for Tumor Diseases (NCT),Division of Medical Image Computing
[10] University Hospital Heidelberg,Hamamatsu Tissue Imaging and Analysis Center (TIGA), BIOQUANT
[11] German Cancer Research Center (DKFZ),Functional Epigenomics, Center for Molecular Medicine Cologne (CMMC)
[12] University of Heidelberg,Pathology of the University Hospital Schleswig
[13] University of Cologne,Holstein
[14] Campus Lübeck and the Research Center Borstel,Institute of Pathology
[15] Leibniz Lung Center,Department of Radiation Oncology
[16] Ratzeburger Allee 160,Department of Nuclear Medicine
[17] University Hospital Heidelberg,Cancer Genome Research
[18] University Hospital Heidelberg,Molecular Urooncology
[19] University Hospital Heidelberg,Department of Urology
[20] German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK),Institute of Pathology
[21] University Hospital Heidelberg,Department of Urology
[22] University Hospital Nuremberg,undefined
[23] University Hospital Mainz,undefined
[24] Pathology Rosenheim,undefined
[25] University Hospital Essen,undefined
来源
Scientific Reports | / 8卷
关键词
Index Lesion; Chromosomal Copy Number Alterations (CNAs); Radiogenomic Analysis; Prostate-specific Membrane Antigen (PSMA); Radiomics Feature Extraction;
D O I
暂无
中图分类号
学科分类号
摘要
Magnetic resonance imaging (MRI) and prostate specific membrane antigen (PSMA)- positron emission tomography (PET)/computed tomography (CT)-imaging of prostate cancer (PCa) are emerging techniques to assess the presence of significant disease and tumor progression. It is not known, however, whether and to what extent lesions detected by these imaging techniques correlate with genomic features of PCa. The aim of this study was therefore to define a genomic index lesion based on chromosomal copy number alterations (CNAs) as marker for tumor aggressiveness in prostate biopsies in direct correlation to multiparametric (mp) MRI and 68Ga-PSMA-PET/CT imaging features. CNA profiles of 46 biopsies from five consecutive patients with clinically high-risk PCa were obtained from radiologically suspicious and unsuspicious areas. All patients underwent mpMRI, MRI/TRUS-fusion biopsy, 68Ga-PSMA-PET/CT and a radical prostatectomy. CNAs were directly correlated to imaging features and radiogenomic analyses were performed. Highly significant CNAs (≥10 Mbp) were found in 22 of 46 biopsies. Chromosome 8p, 13q and 5q losses were the most common findings. There was an strong correspondence between the radiologic and the genomic index lesions. The radiogenomic analyses suggest the feasibility of developing radiologic signatures that can distinguish between genomically more or less aggressive lesions. In conclusion, imaging features of mpMRI and 68Ga-PSMA-PET/CT can guide to the genomically most aggressive lesion of a PCa. Radiogenomics may help to better differentiate between indolent and aggressive PCa in the future.
引用
收藏
相关论文
共 70 条
[1]  
Siegel RL(2018)Cancer statistics, 2018 CA. Cancer J. Clin. 68 7-30
[2]  
Miller KD(2016)Translational and clinical implications of the genetic landscape of prostate cancer Nat. Rev. Clin. Oncol. 13 597-22
[3]  
Jemal A(2010)Integrative Genomic Profiling of Human Prostate Cancer Cancer Cell 18 11-8510
[4]  
Spratt DE(2007)Genomic Profiling Reveals Alternative Genetic Pathways of Prostate Tumorigenesis Cancer Res. 67 8504-488
[5]  
Zumsteg ZS(2014)Recurrent copy number alterations in prostate cancer: an in silico meta-analysis of publicly available genomic data Cancer Genet. 207 474-822
[6]  
Feng FY(2017)Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study The Lancet 389 815-1267
[7]  
Tomlins SA(2016)Prostate Specific Membrane Antigen Positron Emission Tomography May Improve the Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging in Localized Prostate Cancer J. Urol. 196 1261-1725
[8]  
Taylor BS(2016)68Ga-PSMA PET/CT Detects the Location and Extent of Primary Prostate Cancer Journal of Nuclear Medicine 57 1720-567
[9]  
Lapointe J(2016)Correlation of Intraprostatic Tumor Extent with 68Ga-PSMA Distribution in Patients with Prostate Cancer J. Nucl. Med. 57 563-495
[10]  
Williams JL(2013)PET imaging with a [68Ga]gallium-labelled PSMA ligand for the diagnosis of prostate cancer: biodistribution in humans and first evaluation of tumour lesions Eur. J. Nucl. Med. Mol. Imaging 40 486-53376