Genomic profile – a possible diagnostic and prognostic marker in upper tract urothelial carcinoma
Objectives To investigate gene alterations as diagnostic and prognostic markers in upper tract urothelial carcinoma (UTUC). Patients and Methods Patients with UTUC who underwent nephroureterectomy between 2005 and 2012 were followed until November 2020. DNA was extracted from paraffin‐embedded tumou...
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Veröffentlicht in: | BJU international 2022-07, Vol.130 (1), p.92-101 |
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description | Objectives
To investigate gene alterations as diagnostic and prognostic markers in upper tract urothelial carcinoma (UTUC).
Patients and Methods
Patients with UTUC who underwent nephroureterectomy between 2005 and 2012 were followed until November 2020. DNA was extracted from paraffin‐embedded tumour tissue. Next‐generation sequencing using a 388‐gene panel was performed. First a blinded analysis using principal component analysis and hierarchical clustering was used to search for patterns of mutations. Then a comparative analysis using analysis of variance (ANOVA) was used to search for mutations enriched in groups of various grades, stages, and survival. In addition, careful manual annotation was used to identify pathogenic mutations over‐represented in tumours of high grade/stage and/or poor survival.
Results
A total of 39 patients were included. All tumour stages and grades were represented in the cohort. The median follow‐up was 10.6 years. In all, 11 patients died from UTUC during the follow‐up. Tumour mutational burden showed a statistically significant correlation with stage, grade, and stage + grade. Grade 1, Grade 2, and Grade 3 tumours had different mutational patterns. Patients who died from UTUC had pathogenic mutations in specific genes e.g. tumour protein p53 (TP53) and HRas proto‐oncogene, GTPase (HRAS). Patients with Ta Grade 1 tumours with a known pathogenic fibroblast growth factor receptor 3 (FGFR3) mutation did not die from UTUC.
Conclusion
The genetic analysis was highly concordant with histopathological features and added prognostic information in some cases. Thus, results from genomic profiling may contribute to the choice of treatment and follow‐up regimens in the future. |
doi_str_mv | 10.1111/bju.15566 |
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To investigate gene alterations as diagnostic and prognostic markers in upper tract urothelial carcinoma (UTUC).
Patients and Methods
Patients with UTUC who underwent nephroureterectomy between 2005 and 2012 were followed until November 2020. DNA was extracted from paraffin‐embedded tumour tissue. Next‐generation sequencing using a 388‐gene panel was performed. First a blinded analysis using principal component analysis and hierarchical clustering was used to search for patterns of mutations. Then a comparative analysis using analysis of variance (ANOVA) was used to search for mutations enriched in groups of various grades, stages, and survival. In addition, careful manual annotation was used to identify pathogenic mutations over‐represented in tumours of high grade/stage and/or poor survival.
Results
A total of 39 patients were included. All tumour stages and grades were represented in the cohort. The median follow‐up was 10.6 years. In all, 11 patients died from UTUC during the follow‐up. Tumour mutational burden showed a statistically significant correlation with stage, grade, and stage + grade. Grade 1, Grade 2, and Grade 3 tumours had different mutational patterns. Patients who died from UTUC had pathogenic mutations in specific genes e.g. tumour protein p53 (TP53) and HRas proto‐oncogene, GTPase (HRAS). Patients with Ta Grade 1 tumours with a known pathogenic fibroblast growth factor receptor 3 (FGFR3) mutation did not die from UTUC.
Conclusion
The genetic analysis was highly concordant with histopathological features and added prognostic information in some cases. Thus, results from genomic profiling may contribute to the choice of treatment and follow‐up regimens in the future.</description><identifier>ISSN: 1464-4096</identifier><identifier>ISSN: 1464-410X</identifier><identifier>EISSN: 1464-410X</identifier><identifier>DOI: 10.1111/bju.15566</identifier><language>eng</language><publisher>Edgecliff: Wiley Subscription Services, Inc</publisher><subject>Bladder cancer ; Comparative analysis ; Fibroblast growth factor receptor 3 ; Fibroblast growth factor receptors ; Genetic analysis ; Genomic profile ; Genomics ; Kidney‐sparing surgery ; Medicin och hälsovetenskap ; Mutation ; p53 Protein ; Paraffin ; Patients ; Principal components analysis ; Prognostic marker ; Statistical analysis ; Survival ; Tumors ; Urothelial carcinoma ; UTUC ; Variance analysis</subject><ispartof>BJU international, 2022-07, Vol.130 (1), p.92-101</ispartof><rights>2021 The Authors. BJU International published by John Wiley & Sons Ltd on behalf of BJU International</rights><rights>2021. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4536-78842e05b899f127426c24b84727c1b2a991d79ef71021042a3a42c2e429f0763</citedby><cites>FETCH-LOGICAL-c4536-78842e05b899f127426c24b84727c1b2a991d79ef71021042a3a42c2e429f0763</cites><orcidid>0000-0002-8048-9058</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fbju.15566$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fbju.15566$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,552,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:147520458$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Grahn, Alexandra</creatorcontrib><creatorcontrib>Eisfeldt, Jesper</creatorcontrib><creatorcontrib>Malm, Camilla</creatorcontrib><creatorcontrib>Foroughi Asl, Hassan</creatorcontrib><creatorcontrib>Jaremko, Georg</creatorcontrib><creatorcontrib>Tham, Emma</creatorcontrib><creatorcontrib>Brehmer, Marianne</creatorcontrib><title>Genomic profile – a possible diagnostic and prognostic marker in upper tract urothelial carcinoma</title><title>BJU international</title><description>Objectives
To investigate gene alterations as diagnostic and prognostic markers in upper tract urothelial carcinoma (UTUC).
Patients and Methods
Patients with UTUC who underwent nephroureterectomy between 2005 and 2012 were followed until November 2020. DNA was extracted from paraffin‐embedded tumour tissue. Next‐generation sequencing using a 388‐gene panel was performed. First a blinded analysis using principal component analysis and hierarchical clustering was used to search for patterns of mutations. Then a comparative analysis using analysis of variance (ANOVA) was used to search for mutations enriched in groups of various grades, stages, and survival. In addition, careful manual annotation was used to identify pathogenic mutations over‐represented in tumours of high grade/stage and/or poor survival.
Results
A total of 39 patients were included. All tumour stages and grades were represented in the cohort. The median follow‐up was 10.6 years. In all, 11 patients died from UTUC during the follow‐up. Tumour mutational burden showed a statistically significant correlation with stage, grade, and stage + grade. Grade 1, Grade 2, and Grade 3 tumours had different mutational patterns. Patients who died from UTUC had pathogenic mutations in specific genes e.g. tumour protein p53 (TP53) and HRas proto‐oncogene, GTPase (HRAS). Patients with Ta Grade 1 tumours with a known pathogenic fibroblast growth factor receptor 3 (FGFR3) mutation did not die from UTUC.
Conclusion
The genetic analysis was highly concordant with histopathological features and added prognostic information in some cases. Thus, results from genomic profiling may contribute to the choice of treatment and follow‐up regimens in the future.</description><subject>Bladder cancer</subject><subject>Comparative analysis</subject><subject>Fibroblast growth factor receptor 3</subject><subject>Fibroblast growth factor receptors</subject><subject>Genetic analysis</subject><subject>Genomic profile</subject><subject>Genomics</subject><subject>Kidney‐sparing surgery</subject><subject>Medicin och hälsovetenskap</subject><subject>Mutation</subject><subject>p53 Protein</subject><subject>Paraffin</subject><subject>Patients</subject><subject>Principal components analysis</subject><subject>Prognostic marker</subject><subject>Statistical analysis</subject><subject>Survival</subject><subject>Tumors</subject><subject>Urothelial carcinoma</subject><subject>UTUC</subject><subject>Variance analysis</subject><issn>1464-4096</issn><issn>1464-410X</issn><issn>1464-410X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>D8T</sourceid><recordid>eNp1kcFOwzAMhisEEmNw4A0qcYFDtyRN0uYIEwzQJC5M4halWQrZurYkrabdeAfekCfBoxtISMsltvX9lu0_CM4xGmB4w2zeDjBjnB8EPUw5jShGL4e7GAl-HJx4P0cICpz1Aj02ZbW0OqxdldvChF8fn6EK68p7m0E6s-q1rHwDhCpnG2qXLpVbGBfaMmzrGoLGKd2ErauaN1NYVYRaOW2huToNjnJVeHO2_fvB9O72eXQfTZ7GD6PrSaQpi3mUpCklBrEsFSLHJKGEa0KzlCYk0TgjSgg8S4TJE4wIRpSoWFGiiaFE5CjhcT-Iur5-Zeo2k7WzMORaVsrKbWkBkZGUCYEQ8GIvD4vO_kQ7IaYJI4iyFLSXnRbA99b4Ri6t16YoVGmq1kvCOCKCiRgDevEPnVetK-ESkvAUC55SvKGuOko7uL0z-e84GMmNtRKslT_WAjvs2BU4tt4PypvHaaf4BusPpoA</recordid><startdate>202207</startdate><enddate>202207</enddate><creator>Grahn, Alexandra</creator><creator>Eisfeldt, Jesper</creator><creator>Malm, Camilla</creator><creator>Foroughi Asl, Hassan</creator><creator>Jaremko, Georg</creator><creator>Tham, Emma</creator><creator>Brehmer, Marianne</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0002-8048-9058</orcidid></search><sort><creationdate>202207</creationdate><title>Genomic profile – a possible diagnostic and prognostic marker in upper tract urothelial carcinoma</title><author>Grahn, Alexandra ; Eisfeldt, Jesper ; Malm, Camilla ; Foroughi Asl, Hassan ; Jaremko, Georg ; Tham, Emma ; Brehmer, Marianne</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4536-78842e05b899f127426c24b84727c1b2a991d79ef71021042a3a42c2e429f0763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Bladder cancer</topic><topic>Comparative analysis</topic><topic>Fibroblast growth factor receptor 3</topic><topic>Fibroblast growth factor receptors</topic><topic>Genetic analysis</topic><topic>Genomic profile</topic><topic>Genomics</topic><topic>Kidney‐sparing surgery</topic><topic>Medicin och hälsovetenskap</topic><topic>Mutation</topic><topic>p53 Protein</topic><topic>Paraffin</topic><topic>Patients</topic><topic>Principal components analysis</topic><topic>Prognostic marker</topic><topic>Statistical analysis</topic><topic>Survival</topic><topic>Tumors</topic><topic>Urothelial carcinoma</topic><topic>UTUC</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Grahn, Alexandra</creatorcontrib><creatorcontrib>Eisfeldt, Jesper</creatorcontrib><creatorcontrib>Malm, Camilla</creatorcontrib><creatorcontrib>Foroughi Asl, Hassan</creatorcontrib><creatorcontrib>Jaremko, Georg</creatorcontrib><creatorcontrib>Tham, Emma</creatorcontrib><creatorcontrib>Brehmer, Marianne</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library Free Content</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>MEDLINE - Academic</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>BJU international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grahn, Alexandra</au><au>Eisfeldt, Jesper</au><au>Malm, Camilla</au><au>Foroughi Asl, Hassan</au><au>Jaremko, Georg</au><au>Tham, Emma</au><au>Brehmer, Marianne</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genomic profile – a possible diagnostic and prognostic marker in upper tract urothelial carcinoma</atitle><jtitle>BJU international</jtitle><date>2022-07</date><risdate>2022</risdate><volume>130</volume><issue>1</issue><spage>92</spage><epage>101</epage><pages>92-101</pages><issn>1464-4096</issn><issn>1464-410X</issn><eissn>1464-410X</eissn><abstract>Objectives
To investigate gene alterations as diagnostic and prognostic markers in upper tract urothelial carcinoma (UTUC).
Patients and Methods
Patients with UTUC who underwent nephroureterectomy between 2005 and 2012 were followed until November 2020. DNA was extracted from paraffin‐embedded tumour tissue. Next‐generation sequencing using a 388‐gene panel was performed. First a blinded analysis using principal component analysis and hierarchical clustering was used to search for patterns of mutations. Then a comparative analysis using analysis of variance (ANOVA) was used to search for mutations enriched in groups of various grades, stages, and survival. In addition, careful manual annotation was used to identify pathogenic mutations over‐represented in tumours of high grade/stage and/or poor survival.
Results
A total of 39 patients were included. All tumour stages and grades were represented in the cohort. The median follow‐up was 10.6 years. In all, 11 patients died from UTUC during the follow‐up. Tumour mutational burden showed a statistically significant correlation with stage, grade, and stage + grade. Grade 1, Grade 2, and Grade 3 tumours had different mutational patterns. Patients who died from UTUC had pathogenic mutations in specific genes e.g. tumour protein p53 (TP53) and HRas proto‐oncogene, GTPase (HRAS). Patients with Ta Grade 1 tumours with a known pathogenic fibroblast growth factor receptor 3 (FGFR3) mutation did not die from UTUC.
Conclusion
The genetic analysis was highly concordant with histopathological features and added prognostic information in some cases. Thus, results from genomic profiling may contribute to the choice of treatment and follow‐up regimens in the future.</abstract><cop>Edgecliff</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/bju.15566</doi><tpages>101</tpages><orcidid>https://orcid.org/0000-0002-8048-9058</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bladder cancer Comparative analysis Fibroblast growth factor receptor 3 Fibroblast growth factor receptors Genetic analysis Genomic profile Genomics Kidney‐sparing surgery Medicin och hälsovetenskap Mutation p53 Protein Paraffin Patients Principal components analysis Prognostic marker Statistical analysis Survival Tumors Urothelial carcinoma UTUC Variance analysis |
title | Genomic profile – a possible diagnostic and prognostic marker in upper tract urothelial carcinoma |
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