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A comparison of DNA sequencing and gene expression profiling to assist tissue of origin diagnosis in cancer of unknown primary

Cancer of unknown primary (CUP) is a syndrome defined by clinical absence of a primary cancer after standardised investigations. Gene expression profiling (GEP) and DNA sequencing have been used to predict primary tissue of origin (TOO) in CUP and find molecularly guided treatments; however, a detai...

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Autores principales: Posner, Atara, Prall, Owen WJ, Sivakumaran, Tharani, Etemadamoghadam, Dariush, Thio, Niko, Pattison, Andrew, Balachander, Shiva, Fisher, Krista, Webb, Samantha, Wood, Colin, DeFazio, Anna, Wilcken, Nicholas, Gao, Bo, Karapetis, Christos S, Singh, Madhu, Collins, Ian M, Richardson, Gary, Steer, Christopher, Warren, Mark, Karanth, Narayan, Wright, Gavin, Williams, Scott, George, Joshy, Hicks, Rodney J, Boussioutas, Alex, Gill, Anthony J, Solomon, Benjamin J, Xu, Huiling, Fellowes, Andrew, Fox, Stephen B, Schofield, Penelope, Bowtell, David, Mileshkin, Linda, Tothill, Richard W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099529/
https://www.ncbi.nlm.nih.gov/pubmed/36287571
http://dx.doi.org/10.1002/path.6022
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author Posner, Atara
Prall, Owen WJ
Sivakumaran, Tharani
Etemadamoghadam, Dariush
Thio, Niko
Pattison, Andrew
Balachander, Shiva
Fisher, Krista
Webb, Samantha
Wood, Colin
DeFazio, Anna
Wilcken, Nicholas
Gao, Bo
Karapetis, Christos S
Singh, Madhu
Collins, Ian M
Richardson, Gary
Steer, Christopher
Warren, Mark
Karanth, Narayan
Wright, Gavin
Williams, Scott
George, Joshy
Hicks, Rodney J
Boussioutas, Alex
Gill, Anthony J
Solomon, Benjamin J
Xu, Huiling
Fellowes, Andrew
Fox, Stephen B
Schofield, Penelope
Bowtell, David
Mileshkin, Linda
Tothill, Richard W
author_facet Posner, Atara
Prall, Owen WJ
Sivakumaran, Tharani
Etemadamoghadam, Dariush
Thio, Niko
Pattison, Andrew
Balachander, Shiva
Fisher, Krista
Webb, Samantha
Wood, Colin
DeFazio, Anna
Wilcken, Nicholas
Gao, Bo
Karapetis, Christos S
Singh, Madhu
Collins, Ian M
Richardson, Gary
Steer, Christopher
Warren, Mark
Karanth, Narayan
Wright, Gavin
Williams, Scott
George, Joshy
Hicks, Rodney J
Boussioutas, Alex
Gill, Anthony J
Solomon, Benjamin J
Xu, Huiling
Fellowes, Andrew
Fox, Stephen B
Schofield, Penelope
Bowtell, David
Mileshkin, Linda
Tothill, Richard W
author_sort Posner, Atara
collection PubMed
description Cancer of unknown primary (CUP) is a syndrome defined by clinical absence of a primary cancer after standardised investigations. Gene expression profiling (GEP) and DNA sequencing have been used to predict primary tissue of origin (TOO) in CUP and find molecularly guided treatments; however, a detailed comparison of the diagnostic yield from these two tests has not been described. Here, we compared the diagnostic utility of RNA and DNA tests in 215 CUP patients (82% received both tests) in a prospective Australian study. Based on retrospective assessment of clinicopathological data, 77% (166/215) of CUPs had insufficient evidence to support TOO diagnosis (clinicopathology unresolved). The remainder had either a latent primary diagnosis (10%) or clinicopathological evidence to support a likely TOO diagnosis (13%) (clinicopathology resolved). We applied a microarray (CUPGuide) or custom NanoString 18‐class GEP test to 191 CUPs with an accuracy of 91.5% in known metastatic cancers for high–medium confidence predictions. Classification performance was similar in clinicopathology‐resolved CUPs – 80% had high–medium predictions and 94% were concordant with pathology. Notably, only 56% of the clinicopathology‐unresolved CUPs had high–medium confidence GEP predictions. Diagnostic DNA features were interrogated in 201 CUP tumours guided by the cancer type specificity of mutations observed across 22 cancer types from the AACR Project GENIE database (77,058 tumours) as well as mutational signatures (e.g. smoking). Among the clinicopathology‐unresolved CUPs, mutations and mutational signatures provided additional diagnostic evidence in 31% of cases. GEP classification was useful in only 13% of cases and oncoviral detection in 4%. Among CUPs where genomics informed TOO, lung and biliary cancers were the most frequently identified types, while kidney tumours were another identifiable subset. In conclusion, DNA and RNA profiling supported an unconfirmed TOO diagnosis in one‐third of CUPs otherwise unresolved by clinicopathology assessment alone. DNA mutation profiling was the more diagnostically informative assay. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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spelling pubmed-100995292023-04-14 A comparison of DNA sequencing and gene expression profiling to assist tissue of origin diagnosis in cancer of unknown primary Posner, Atara Prall, Owen WJ Sivakumaran, Tharani Etemadamoghadam, Dariush Thio, Niko Pattison, Andrew Balachander, Shiva Fisher, Krista Webb, Samantha Wood, Colin DeFazio, Anna Wilcken, Nicholas Gao, Bo Karapetis, Christos S Singh, Madhu Collins, Ian M Richardson, Gary Steer, Christopher Warren, Mark Karanth, Narayan Wright, Gavin Williams, Scott George, Joshy Hicks, Rodney J Boussioutas, Alex Gill, Anthony J Solomon, Benjamin J Xu, Huiling Fellowes, Andrew Fox, Stephen B Schofield, Penelope Bowtell, David Mileshkin, Linda Tothill, Richard W J Pathol Original Articles Cancer of unknown primary (CUP) is a syndrome defined by clinical absence of a primary cancer after standardised investigations. Gene expression profiling (GEP) and DNA sequencing have been used to predict primary tissue of origin (TOO) in CUP and find molecularly guided treatments; however, a detailed comparison of the diagnostic yield from these two tests has not been described. Here, we compared the diagnostic utility of RNA and DNA tests in 215 CUP patients (82% received both tests) in a prospective Australian study. Based on retrospective assessment of clinicopathological data, 77% (166/215) of CUPs had insufficient evidence to support TOO diagnosis (clinicopathology unresolved). The remainder had either a latent primary diagnosis (10%) or clinicopathological evidence to support a likely TOO diagnosis (13%) (clinicopathology resolved). We applied a microarray (CUPGuide) or custom NanoString 18‐class GEP test to 191 CUPs with an accuracy of 91.5% in known metastatic cancers for high–medium confidence predictions. Classification performance was similar in clinicopathology‐resolved CUPs – 80% had high–medium predictions and 94% were concordant with pathology. Notably, only 56% of the clinicopathology‐unresolved CUPs had high–medium confidence GEP predictions. Diagnostic DNA features were interrogated in 201 CUP tumours guided by the cancer type specificity of mutations observed across 22 cancer types from the AACR Project GENIE database (77,058 tumours) as well as mutational signatures (e.g. smoking). Among the clinicopathology‐unresolved CUPs, mutations and mutational signatures provided additional diagnostic evidence in 31% of cases. GEP classification was useful in only 13% of cases and oncoviral detection in 4%. Among CUPs where genomics informed TOO, lung and biliary cancers were the most frequently identified types, while kidney tumours were another identifiable subset. In conclusion, DNA and RNA profiling supported an unconfirmed TOO diagnosis in one‐third of CUPs otherwise unresolved by clinicopathology assessment alone. DNA mutation profiling was the more diagnostically informative assay. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. John Wiley & Sons, Ltd 2022-11-30 2023-01 /pmc/articles/PMC10099529/ /pubmed/36287571 http://dx.doi.org/10.1002/path.6022 Text en © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Posner, Atara
Prall, Owen WJ
Sivakumaran, Tharani
Etemadamoghadam, Dariush
Thio, Niko
Pattison, Andrew
Balachander, Shiva
Fisher, Krista
Webb, Samantha
Wood, Colin
DeFazio, Anna
Wilcken, Nicholas
Gao, Bo
Karapetis, Christos S
Singh, Madhu
Collins, Ian M
Richardson, Gary
Steer, Christopher
Warren, Mark
Karanth, Narayan
Wright, Gavin
Williams, Scott
George, Joshy
Hicks, Rodney J
Boussioutas, Alex
Gill, Anthony J
Solomon, Benjamin J
Xu, Huiling
Fellowes, Andrew
Fox, Stephen B
Schofield, Penelope
Bowtell, David
Mileshkin, Linda
Tothill, Richard W
A comparison of DNA sequencing and gene expression profiling to assist tissue of origin diagnosis in cancer of unknown primary
title A comparison of DNA sequencing and gene expression profiling to assist tissue of origin diagnosis in cancer of unknown primary
title_full A comparison of DNA sequencing and gene expression profiling to assist tissue of origin diagnosis in cancer of unknown primary
title_fullStr A comparison of DNA sequencing and gene expression profiling to assist tissue of origin diagnosis in cancer of unknown primary
title_full_unstemmed A comparison of DNA sequencing and gene expression profiling to assist tissue of origin diagnosis in cancer of unknown primary
title_short A comparison of DNA sequencing and gene expression profiling to assist tissue of origin diagnosis in cancer of unknown primary
title_sort comparison of dna sequencing and gene expression profiling to assist tissue of origin diagnosis in cancer of unknown primary
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099529/
https://www.ncbi.nlm.nih.gov/pubmed/36287571
http://dx.doi.org/10.1002/path.6022
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