Noninvasive Detection of Urothelial Carcinoma by Cost-effective Low-coverage Whole-genome Sequencing from Urine-Exfoliated Cell DNA
Urothelial carcinoma is a malignant cancer with frequent chromosomal aberrations. Here, we investigated the application of a cost-effective, low-coverage whole-genome sequencing technology in detecting all chromosomal aberrations. Patients with urothelial carcinomas and nontumor controls were prospe...
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Veröffentlicht in: | Clinical cancer research 2020-11, Vol.26 (21), p.5646-5654 |
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creator | Zeng, Shuxiong Ying, Yidie Xing, Naidong Wang, Baiyun Qian, Ziliang Zhou, Zunlin Zhang, Zhensheng Xu, Weidong Wang, Huiqing Dai, Lihe Gao, Li Zhou, Tie Ji, Jiatao Xu, Chuanliang |
description | Urothelial carcinoma is a malignant cancer with frequent chromosomal aberrations. Here, we investigated the application of a cost-effective, low-coverage whole-genome sequencing technology in detecting all chromosomal aberrations.
Patients with urothelial carcinomas and nontumor controls were prospectively recruited in clinical trial NCT03998371. Urine-exfoliated cell DNA was analyzed by Illumina HiSeq XTen, followed by genotyping with a customized bioinformatics workflow named Urine Exfoliated Cells Copy Number Aberration Detector (UroCAD).
In the discovery phase, urine samples from 126 patients with urothelial carcinomas and 64 nontumor disease samples were analyzed. Frequent chromosome copy-number changes were found in patients with tumor as compared with nontumor controls. A novel diagnosis model, UroCAD, was built by incorporating all the autosomal chromosomal changes. The model reached performance of AUC = 0.92 (95% confidence interval, 89.4%-97.3%). At the optimal cutoff, |Z| ≥ 3.21, the sensitivity, specificity, and accuracy were 82.5%, 96.9%, and 89.0%, respectively. The prediction positivity was found correlated with tumor grade (
= 0.01). In the external validation cohort of 95 participants, the UroCAD assay identified urothelial carcinomas with an overall sensitivity of 80.4%, specificity of 94.9%, and AUC of 0.91. Meanwhile, UroCAD assay outperformed cytology tests with significantly improved sensitivity (80.4% vs. 33.9%;
< 0.001) and comparable specificity (94.9% vs. 100%;
= 0.49).
UroCAD could be a robust urothelial carcinoma diagnostic method with improved sensitivity and similar specificity as compared with cytology tests. It may be used as a noninvasive approach for diagnosis and recurrence surveillance in urothelial carcinoma prior to the use of cystoscopy, which would largely reduce the burden on patients. |
doi_str_mv | 10.1158/1078-0432.CCR-20-0401 |
format | Article |
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Patients with urothelial carcinomas and nontumor controls were prospectively recruited in clinical trial NCT03998371. Urine-exfoliated cell DNA was analyzed by Illumina HiSeq XTen, followed by genotyping with a customized bioinformatics workflow named Urine Exfoliated Cells Copy Number Aberration Detector (UroCAD).
In the discovery phase, urine samples from 126 patients with urothelial carcinomas and 64 nontumor disease samples were analyzed. Frequent chromosome copy-number changes were found in patients with tumor as compared with nontumor controls. A novel diagnosis model, UroCAD, was built by incorporating all the autosomal chromosomal changes. The model reached performance of AUC = 0.92 (95% confidence interval, 89.4%-97.3%). At the optimal cutoff, |Z| ≥ 3.21, the sensitivity, specificity, and accuracy were 82.5%, 96.9%, and 89.0%, respectively. The prediction positivity was found correlated with tumor grade (
= 0.01). In the external validation cohort of 95 participants, the UroCAD assay identified urothelial carcinomas with an overall sensitivity of 80.4%, specificity of 94.9%, and AUC of 0.91. Meanwhile, UroCAD assay outperformed cytology tests with significantly improved sensitivity (80.4% vs. 33.9%;
< 0.001) and comparable specificity (94.9% vs. 100%;
= 0.49).
UroCAD could be a robust urothelial carcinoma diagnostic method with improved sensitivity and similar specificity as compared with cytology tests. It may be used as a noninvasive approach for diagnosis and recurrence surveillance in urothelial carcinoma prior to the use of cystoscopy, which would largely reduce the burden on patients.</description><identifier>ISSN: 1078-0432</identifier><identifier>EISSN: 1557-3265</identifier><identifier>DOI: 10.1158/1078-0432.CCR-20-0401</identifier><identifier>PMID: 33037018</identifier><language>eng</language><publisher>United States</publisher><subject>Aged ; Aneuploidy ; Biomarkers, Tumor - genetics ; Carcinoma, Transitional Cell - genetics ; Carcinoma, Transitional Cell - pathology ; Carcinoma, Transitional Cell - urine ; Chromosome Aberrations ; Circulating Tumor DNA - genetics ; Cost-Benefit Analysis ; Cytodiagnosis ; Disease-Free Survival ; DNA Copy Number Variations - genetics ; Female ; Genotype ; Humans ; Male ; Middle Aged ; Neoplasm Recurrence, Local - genetics ; Neoplasm Recurrence, Local - pathology ; Neoplasm Recurrence, Local - urine ; Urinary Bladder Neoplasms - diagnosis ; Urinary Bladder Neoplasms - pathology ; Urinary Bladder Neoplasms - urine ; Urothelium - metabolism ; Urothelium - pathology ; Whole Genome Sequencing</subject><ispartof>Clinical cancer research, 2020-11, Vol.26 (21), p.5646-5654</ispartof><rights>2020 American Association for Cancer Research.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-e4ac039aacc8a28ac46e9e8359f7b15f3b9de9f24d7aea20052dbc6320e6fe913</citedby><cites>FETCH-LOGICAL-c408t-e4ac039aacc8a28ac46e9e8359f7b15f3b9de9f24d7aea20052dbc6320e6fe913</cites><orcidid>0000-0002-3110-4596 ; 0000-0001-6707-9014</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,3356,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33037018$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zeng, Shuxiong</creatorcontrib><creatorcontrib>Ying, Yidie</creatorcontrib><creatorcontrib>Xing, Naidong</creatorcontrib><creatorcontrib>Wang, Baiyun</creatorcontrib><creatorcontrib>Qian, Ziliang</creatorcontrib><creatorcontrib>Zhou, Zunlin</creatorcontrib><creatorcontrib>Zhang, Zhensheng</creatorcontrib><creatorcontrib>Xu, Weidong</creatorcontrib><creatorcontrib>Wang, Huiqing</creatorcontrib><creatorcontrib>Dai, Lihe</creatorcontrib><creatorcontrib>Gao, Li</creatorcontrib><creatorcontrib>Zhou, Tie</creatorcontrib><creatorcontrib>Ji, Jiatao</creatorcontrib><creatorcontrib>Xu, Chuanliang</creatorcontrib><title>Noninvasive Detection of Urothelial Carcinoma by Cost-effective Low-coverage Whole-genome Sequencing from Urine-Exfoliated Cell DNA</title><title>Clinical cancer research</title><addtitle>Clin Cancer Res</addtitle><description>Urothelial carcinoma is a malignant cancer with frequent chromosomal aberrations. Here, we investigated the application of a cost-effective, low-coverage whole-genome sequencing technology in detecting all chromosomal aberrations.
Patients with urothelial carcinomas and nontumor controls were prospectively recruited in clinical trial NCT03998371. Urine-exfoliated cell DNA was analyzed by Illumina HiSeq XTen, followed by genotyping with a customized bioinformatics workflow named Urine Exfoliated Cells Copy Number Aberration Detector (UroCAD).
In the discovery phase, urine samples from 126 patients with urothelial carcinomas and 64 nontumor disease samples were analyzed. Frequent chromosome copy-number changes were found in patients with tumor as compared with nontumor controls. A novel diagnosis model, UroCAD, was built by incorporating all the autosomal chromosomal changes. The model reached performance of AUC = 0.92 (95% confidence interval, 89.4%-97.3%). At the optimal cutoff, |Z| ≥ 3.21, the sensitivity, specificity, and accuracy were 82.5%, 96.9%, and 89.0%, respectively. The prediction positivity was found correlated with tumor grade (
= 0.01). In the external validation cohort of 95 participants, the UroCAD assay identified urothelial carcinomas with an overall sensitivity of 80.4%, specificity of 94.9%, and AUC of 0.91. Meanwhile, UroCAD assay outperformed cytology tests with significantly improved sensitivity (80.4% vs. 33.9%;
< 0.001) and comparable specificity (94.9% vs. 100%;
= 0.49).
UroCAD could be a robust urothelial carcinoma diagnostic method with improved sensitivity and similar specificity as compared with cytology tests. It may be used as a noninvasive approach for diagnosis and recurrence surveillance in urothelial carcinoma prior to the use of cystoscopy, which would largely reduce the burden on patients.</description><subject>Aged</subject><subject>Aneuploidy</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Carcinoma, Transitional Cell - genetics</subject><subject>Carcinoma, Transitional Cell - pathology</subject><subject>Carcinoma, Transitional Cell - urine</subject><subject>Chromosome Aberrations</subject><subject>Circulating Tumor DNA - genetics</subject><subject>Cost-Benefit Analysis</subject><subject>Cytodiagnosis</subject><subject>Disease-Free Survival</subject><subject>DNA Copy Number Variations - genetics</subject><subject>Female</subject><subject>Genotype</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neoplasm Recurrence, Local - genetics</subject><subject>Neoplasm Recurrence, Local - pathology</subject><subject>Neoplasm Recurrence, Local - urine</subject><subject>Urinary Bladder Neoplasms - diagnosis</subject><subject>Urinary Bladder Neoplasms - pathology</subject><subject>Urinary Bladder Neoplasms - urine</subject><subject>Urothelium - metabolism</subject><subject>Urothelium - pathology</subject><subject>Whole Genome Sequencing</subject><issn>1078-0432</issn><issn>1557-3265</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kM1u1TAQhS1ERX_oI4C8ZOMy_kviZZUWqHRVJKDq0nKc8W1QEhc795au--I4astqZvGdM6OPkA8czjjXzWcOdcNASXHWtj-YgLIDf0OOuNY1k6LSb8v-yhyS45x_A3DFQb0jh1KCrIE3R-TpOs7DvHd52CO9wAX9MsSZxkBvUlzucBzcSFuX_DDHydHukbYxLwxDWMmS2cQH5uMek9sivb2LI7ItFhbpT_yzw7kEtzSkOJXCYUZ2-TfEUrpgT1scR3pxff6eHAQ3Zjx9mSfk5svlr_Yb23z_etWeb5hX0JSbynmQxjnvGyca51WFBhupTag7roPsTI8mCNXXDp0A0KLvfCUFYBXQcHlCPj333qdYXsuLnYbsyxNuxrjLVihljK5qbgqqn1GfYs4Jg71Pw-TSo-VgV_92dWtXt7b4twLs6r_kPr6c2HUT9v9Tr8LlP4DBgzo</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Zeng, Shuxiong</creator><creator>Ying, Yidie</creator><creator>Xing, Naidong</creator><creator>Wang, Baiyun</creator><creator>Qian, Ziliang</creator><creator>Zhou, Zunlin</creator><creator>Zhang, Zhensheng</creator><creator>Xu, Weidong</creator><creator>Wang, Huiqing</creator><creator>Dai, Lihe</creator><creator>Gao, Li</creator><creator>Zhou, Tie</creator><creator>Ji, Jiatao</creator><creator>Xu, Chuanliang</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3110-4596</orcidid><orcidid>https://orcid.org/0000-0001-6707-9014</orcidid></search><sort><creationdate>20201101</creationdate><title>Noninvasive Detection of Urothelial Carcinoma by Cost-effective Low-coverage Whole-genome Sequencing from Urine-Exfoliated Cell DNA</title><author>Zeng, Shuxiong ; Ying, Yidie ; Xing, Naidong ; Wang, Baiyun ; Qian, Ziliang ; Zhou, Zunlin ; Zhang, Zhensheng ; Xu, Weidong ; Wang, Huiqing ; Dai, Lihe ; Gao, Li ; Zhou, Tie ; Ji, Jiatao ; Xu, Chuanliang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-e4ac039aacc8a28ac46e9e8359f7b15f3b9de9f24d7aea20052dbc6320e6fe913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Aneuploidy</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Carcinoma, Transitional Cell - genetics</topic><topic>Carcinoma, Transitional Cell - pathology</topic><topic>Carcinoma, Transitional Cell - urine</topic><topic>Chromosome Aberrations</topic><topic>Circulating Tumor DNA - genetics</topic><topic>Cost-Benefit Analysis</topic><topic>Cytodiagnosis</topic><topic>Disease-Free Survival</topic><topic>DNA Copy Number Variations - genetics</topic><topic>Female</topic><topic>Genotype</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neoplasm Recurrence, Local - genetics</topic><topic>Neoplasm Recurrence, Local - pathology</topic><topic>Neoplasm Recurrence, Local - urine</topic><topic>Urinary Bladder Neoplasms - diagnosis</topic><topic>Urinary Bladder Neoplasms - pathology</topic><topic>Urinary Bladder Neoplasms - urine</topic><topic>Urothelium - metabolism</topic><topic>Urothelium - pathology</topic><topic>Whole Genome Sequencing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zeng, Shuxiong</creatorcontrib><creatorcontrib>Ying, Yidie</creatorcontrib><creatorcontrib>Xing, Naidong</creatorcontrib><creatorcontrib>Wang, Baiyun</creatorcontrib><creatorcontrib>Qian, Ziliang</creatorcontrib><creatorcontrib>Zhou, Zunlin</creatorcontrib><creatorcontrib>Zhang, Zhensheng</creatorcontrib><creatorcontrib>Xu, Weidong</creatorcontrib><creatorcontrib>Wang, Huiqing</creatorcontrib><creatorcontrib>Dai, Lihe</creatorcontrib><creatorcontrib>Gao, Li</creatorcontrib><creatorcontrib>Zhou, Tie</creatorcontrib><creatorcontrib>Ji, Jiatao</creatorcontrib><creatorcontrib>Xu, Chuanliang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical cancer research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zeng, Shuxiong</au><au>Ying, Yidie</au><au>Xing, Naidong</au><au>Wang, Baiyun</au><au>Qian, Ziliang</au><au>Zhou, Zunlin</au><au>Zhang, Zhensheng</au><au>Xu, Weidong</au><au>Wang, Huiqing</au><au>Dai, Lihe</au><au>Gao, Li</au><au>Zhou, Tie</au><au>Ji, Jiatao</au><au>Xu, Chuanliang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Noninvasive Detection of Urothelial Carcinoma by Cost-effective Low-coverage Whole-genome Sequencing from Urine-Exfoliated Cell DNA</atitle><jtitle>Clinical cancer research</jtitle><addtitle>Clin Cancer Res</addtitle><date>2020-11-01</date><risdate>2020</risdate><volume>26</volume><issue>21</issue><spage>5646</spage><epage>5654</epage><pages>5646-5654</pages><issn>1078-0432</issn><eissn>1557-3265</eissn><abstract>Urothelial carcinoma is a malignant cancer with frequent chromosomal aberrations. Here, we investigated the application of a cost-effective, low-coverage whole-genome sequencing technology in detecting all chromosomal aberrations.
Patients with urothelial carcinomas and nontumor controls were prospectively recruited in clinical trial NCT03998371. Urine-exfoliated cell DNA was analyzed by Illumina HiSeq XTen, followed by genotyping with a customized bioinformatics workflow named Urine Exfoliated Cells Copy Number Aberration Detector (UroCAD).
In the discovery phase, urine samples from 126 patients with urothelial carcinomas and 64 nontumor disease samples were analyzed. Frequent chromosome copy-number changes were found in patients with tumor as compared with nontumor controls. A novel diagnosis model, UroCAD, was built by incorporating all the autosomal chromosomal changes. The model reached performance of AUC = 0.92 (95% confidence interval, 89.4%-97.3%). At the optimal cutoff, |Z| ≥ 3.21, the sensitivity, specificity, and accuracy were 82.5%, 96.9%, and 89.0%, respectively. The prediction positivity was found correlated with tumor grade (
= 0.01). In the external validation cohort of 95 participants, the UroCAD assay identified urothelial carcinomas with an overall sensitivity of 80.4%, specificity of 94.9%, and AUC of 0.91. Meanwhile, UroCAD assay outperformed cytology tests with significantly improved sensitivity (80.4% vs. 33.9%;
< 0.001) and comparable specificity (94.9% vs. 100%;
= 0.49).
UroCAD could be a robust urothelial carcinoma diagnostic method with improved sensitivity and similar specificity as compared with cytology tests. It may be used as a noninvasive approach for diagnosis and recurrence surveillance in urothelial carcinoma prior to the use of cystoscopy, which would largely reduce the burden on patients.</abstract><cop>United States</cop><pmid>33037018</pmid><doi>10.1158/1078-0432.CCR-20-0401</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-3110-4596</orcidid><orcidid>https://orcid.org/0000-0001-6707-9014</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Aneuploidy Biomarkers, Tumor - genetics Carcinoma, Transitional Cell - genetics Carcinoma, Transitional Cell - pathology Carcinoma, Transitional Cell - urine Chromosome Aberrations Circulating Tumor DNA - genetics Cost-Benefit Analysis Cytodiagnosis Disease-Free Survival DNA Copy Number Variations - genetics Female Genotype Humans Male Middle Aged Neoplasm Recurrence, Local - genetics Neoplasm Recurrence, Local - pathology Neoplasm Recurrence, Local - urine Urinary Bladder Neoplasms - diagnosis Urinary Bladder Neoplasms - pathology Urinary Bladder Neoplasms - urine Urothelium - metabolism Urothelium - pathology Whole Genome Sequencing |
title | Noninvasive Detection of Urothelial Carcinoma by Cost-effective Low-coverage Whole-genome Sequencing from Urine-Exfoliated Cell DNA |
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