Timothy H T Cheng1,2, Peiyong Jiang1,2, Jeremy Y C Teoh3, Macy M S Heung1,2, Jacqueline C W Tam1,2, Xiao Sun1,2, Wing-Shan Lee1,2, Meng Ni1,2, Ronald C K Chan4, Chi-Fai Ng3, K C Allen Chan1,2, Rossa W K Chiu1,2, Y M Dennis Lo5,2. 1. Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong. 2. Department of Chemical Pathology, State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong. 3. SH Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong. 4. Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong. 5. Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong; loym@cuhk.edu.hk.
Abstract
BACKGROUND: The current diagnosis and monitoring of bladder cancer are heavily reliant on cystoscopy, an invasive and costly procedure. Previous efforts in urine-based detection of bladder cancer focused on targeted approaches that are predicated on the tumor expressing specific aberrations. We aimed to noninvasively detect bladder cancer by the genome-wide assessment of methylomic and copy number aberrations (CNAs). We also investigated the size of tumor cell-free (cf)DNA fragments. METHODS: Shallow-depth paired-end genome-wide bisulfite sequencing of urinary cfDNA was done for 46 bladder cancer patients and 39 cancer-free controls with hematuria. We assessed (a) proportional contribution from different tissues by methylation deconvolution, (b) global hypomethylation, (c) CNA, and (d) cfDNA size profile. RESULTS: Methylomic and copy number approaches were synergistically combined to detect bladder cancer with a sensitivity of 93.5% (84.2% for low-grade nonmuscle-invasive disease) and a specificity of 95.8%. The prevalence of methylomic and CNAs reflected disease stage and tumor size. Sampling over multiple time points could assess residual disease and changes in tumor load. Muscle-invasive bladder cancer was associated with a higher proportion of long cfDNA, as well as longer cfDNA fragments originating from genomic regions enriched for tumor DNA. CONCLUSIONS: Bladder cancer can be detected noninvasively in urinary cfDNA by methylomic and copy number analysis without previous knowledge or assumptions of specific aberrations. Such analysis could be used as a liquid biopsy to aid diagnosis and for potential longitudinal monitoring of tumor load. Further understanding of the differential size and fragmentation of cfDNA could improve the detection of bladder cancer.
BACKGROUND: The current diagnosis and monitoring of bladder cancer are heavily reliant on cystoscopy, an invasive and costly procedure. Previous efforts in urine-based detection of bladder cancer focused on targeted approaches that are predicated on the tumor expressing specific aberrations. We aimed to noninvasively detect bladder cancer by the genome-wide assessment of methylomic and copy number aberrations (CNAs). We also investigated the size of tumor cell-free (cf)DNA fragments. METHODS: Shallow-depth paired-end genome-wide bisulfite sequencing of urinary cfDNA was done for 46 bladder cancerpatients and 39 cancer-free controls with hematuria. We assessed (a) proportional contribution from different tissues by methylation deconvolution, (b) global hypomethylation, (c) CNA, and (d) cfDNA size profile. RESULTS: Methylomic and copy number approaches were synergistically combined to detect bladder cancer with a sensitivity of 93.5% (84.2% for low-grade nonmuscle-invasive disease) and a specificity of 95.8%. The prevalence of methylomic and CNAs reflected disease stage and tumor size. Sampling over multiple time points could assess residual disease and changes in tumor load. Muscle-invasive bladder cancer was associated with a higher proportion of long cfDNA, as well as longer cfDNA fragments originating from genomic regions enriched for tumor DNA. CONCLUSIONS:Bladder cancer can be detected noninvasively in urinary cfDNA by methylomic and copy number analysis without previous knowledge or assumptions of specific aberrations. Such analysis could be used as a liquid biopsy to aid diagnosis and for potential longitudinal monitoring of tumor load. Further understanding of the differential size and fragmentation of cfDNA could improve the detection of bladder cancer.
Authors: Meihui Chen; Rebecca W Y Chan; Peter P H Cheung; Meng Ni; Danny K L Wong; Ze Zhou; Mary-Jane L Ma; Liangbo Huang; Xinzhou Xu; Wing-Shan Lee; Guangya Wang; Kathy O Lui; W K Jacky Lam; Jeremy Y C Teoh; Chi-Fai Ng; Peiyong Jiang; K C Allen Chan; Rossa W K Chiu; Y M Dennis Lo Journal: PLoS Genet Date: 2022-07-06 Impact factor: 6.020
Authors: Megan E Barefoot; Netanel Loyfer; Amber J Kiliti; A Patrick McDeed; Tommy Kaplan; Anton Wellstein Journal: Front Genet Date: 2021-07-27 Impact factor: 4.772
Authors: Anouk E Hentschel; Jakko A Nieuwenhuijzen; Judith Bosschieter; Annina P van Splunter; Birgit I Lissenberg-Witte; J Patrick van der Voorn; Loes I Segerink; R Jeroen A van Moorselaar; Renske D M Steenbergen Journal: Cancers (Basel) Date: 2020-04-02 Impact factor: 6.639
Authors: G Kazemier; R D M Steenbergen; S Bach; I Paulis; N R Sluiter; M Tibbesma; I Martin; M A van de Wiel; J B Tuynman; I Bahce Journal: Sci Rep Date: 2021-01-27 Impact factor: 4.379
Authors: Tingting Xie; Guangya Wang; Spencer C Ding; Wing-Shan Lee; Suk Hang Cheng; Rebecca W Y Chan; Ze Zhou; Mary-Jane L Ma; Diana S C Han; Jeremy Y C Teoh; W K Jacky Lam; Peiyong Jiang; Rossa W K Chiu; K C Allen Chan; Y M Dennis Lo Journal: NPJ Genom Med Date: 2022-02-23 Impact factor: 8.617
Authors: Florent Mouliere; Christopher G Smith; Katrin Heider; Jing Su; Ymke van der Pol; Mareike Thompson; James Morris; Jonathan C M Wan; Dineika Chandrananda; James Hadfield; Marta Grzelak; Irena Hudecova; Dominique-Laurent Couturier; Wendy Cooper; Hui Zhao; Davina Gale; Matthew Eldridge; Colin Watts; Kevin Brindle; Nitzan Rosenfeld; Richard Mair Journal: EMBO Mol Med Date: 2021-07-22 Impact factor: 12.137