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Uterine Lavage Identifies Cancer Mutations and Increased TP53 Somatic Mutation Burden in Individuals with Ovarian Cancer

Current screening methods for ovarian cancer have failed to demonstrate a significant reduction in mortality. Uterine lavage combined with TP53 ultradeep sequencing for the detection of disseminated ovarian cancer cells has emerged as a promising tool, but this approach has not been tested for early...

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Autores principales: Ghezelayagh, Talayeh S., Kohrn, Brendan F., Fredrickson, Jeanne, Manhardt, Enna, Radke, Marc R., Katz, Ronit, Gray, Heidi J., Urban, Renata R., Pennington, Kathryn P., Liao, John B., Doll, Kemi M., Simons, Elise J., Burzawa, Jennifer K., Goff, Barbara A., Speiser, Paul, Swisher, Elizabeth M., Norquist, Barbara M., Risques, Rosa Ana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615025/
https://www.ncbi.nlm.nih.gov/pubmed/36311816
http://dx.doi.org/10.1158/2767-9764.CRC-22-0314
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author Ghezelayagh, Talayeh S.
Kohrn, Brendan F.
Fredrickson, Jeanne
Manhardt, Enna
Radke, Marc R.
Katz, Ronit
Gray, Heidi J.
Urban, Renata R.
Pennington, Kathryn P.
Liao, John B.
Doll, Kemi M.
Simons, Elise J.
Burzawa, Jennifer K.
Goff, Barbara A.
Speiser, Paul
Swisher, Elizabeth M.
Norquist, Barbara M.
Risques, Rosa Ana
author_facet Ghezelayagh, Talayeh S.
Kohrn, Brendan F.
Fredrickson, Jeanne
Manhardt, Enna
Radke, Marc R.
Katz, Ronit
Gray, Heidi J.
Urban, Renata R.
Pennington, Kathryn P.
Liao, John B.
Doll, Kemi M.
Simons, Elise J.
Burzawa, Jennifer K.
Goff, Barbara A.
Speiser, Paul
Swisher, Elizabeth M.
Norquist, Barbara M.
Risques, Rosa Ana
author_sort Ghezelayagh, Talayeh S.
collection PubMed
description Current screening methods for ovarian cancer have failed to demonstrate a significant reduction in mortality. Uterine lavage combined with TP53 ultradeep sequencing for the detection of disseminated ovarian cancer cells has emerged as a promising tool, but this approach has not been tested for early-stage disease or non-serous histologies. In addition, lavages carry multiple background mutations, the significance of which is poorly understood. Uterine lavage was collected preoperatively in 34 patients undergoing surgery for suspected ovarian malignancy including 14 patients with benign disease and 20 patients with ovarian cancer [6 non-serous and 14 high-grade serous-like (serous)]. Ultradeep duplex sequencing (∼3,000×) with a panel of common ovarian cancer genes identified the tumor mutation in 33% of non-serous (all early stage) and 79% of serous cancers (including four early stage). In addition, all lavages carried multiple somatic mutations (average of 25 mutations per lavage), more than half of which corresponded to common cancer driver mutations. Driver mutations in KRAS, PIK3CA, PTEN, PPP2R1A, and ARID1A presented as larger clones than non-driver mutations and with similar frequency in lavages from patients with and without ovarian cancer, indicating prevalent somatic evolution in all patients. Driver TP53 mutations, however, presented as significantly larger clones and with higher frequency in lavages from individuals with ovarian cancer, suggesting that TP53-specific clonal expansions are linked to ovarian cancer development. Our results demonstrate that lavages capture cancer cells, even from early-stage cancers, as well as other clonal expansions and support further exploration of TP53 mutation burden as a potential ovarian cancer risk factor. SIGNIFICANCE: Cancer driver mutations are found in uterine lavage DNA in all individuals, but driver TP53 mutations presented as significantly larger clones and with higher frequency in lavages from individuals with ovarian cancer. This suggests that TP53-specific clonal expansion plays a role in tumorigenesis and presents opportunities for early detection.
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spelling pubmed-96150252022-12-13 Uterine Lavage Identifies Cancer Mutations and Increased TP53 Somatic Mutation Burden in Individuals with Ovarian Cancer Ghezelayagh, Talayeh S. Kohrn, Brendan F. Fredrickson, Jeanne Manhardt, Enna Radke, Marc R. Katz, Ronit Gray, Heidi J. Urban, Renata R. Pennington, Kathryn P. Liao, John B. Doll, Kemi M. Simons, Elise J. Burzawa, Jennifer K. Goff, Barbara A. Speiser, Paul Swisher, Elizabeth M. Norquist, Barbara M. Risques, Rosa Ana Cancer Res Commun Research Article Current screening methods for ovarian cancer have failed to demonstrate a significant reduction in mortality. Uterine lavage combined with TP53 ultradeep sequencing for the detection of disseminated ovarian cancer cells has emerged as a promising tool, but this approach has not been tested for early-stage disease or non-serous histologies. In addition, lavages carry multiple background mutations, the significance of which is poorly understood. Uterine lavage was collected preoperatively in 34 patients undergoing surgery for suspected ovarian malignancy including 14 patients with benign disease and 20 patients with ovarian cancer [6 non-serous and 14 high-grade serous-like (serous)]. Ultradeep duplex sequencing (∼3,000×) with a panel of common ovarian cancer genes identified the tumor mutation in 33% of non-serous (all early stage) and 79% of serous cancers (including four early stage). In addition, all lavages carried multiple somatic mutations (average of 25 mutations per lavage), more than half of which corresponded to common cancer driver mutations. Driver mutations in KRAS, PIK3CA, PTEN, PPP2R1A, and ARID1A presented as larger clones than non-driver mutations and with similar frequency in lavages from patients with and without ovarian cancer, indicating prevalent somatic evolution in all patients. Driver TP53 mutations, however, presented as significantly larger clones and with higher frequency in lavages from individuals with ovarian cancer, suggesting that TP53-specific clonal expansions are linked to ovarian cancer development. Our results demonstrate that lavages capture cancer cells, even from early-stage cancers, as well as other clonal expansions and support further exploration of TP53 mutation burden as a potential ovarian cancer risk factor. SIGNIFICANCE: Cancer driver mutations are found in uterine lavage DNA in all individuals, but driver TP53 mutations presented as significantly larger clones and with higher frequency in lavages from individuals with ovarian cancer. This suggests that TP53-specific clonal expansion plays a role in tumorigenesis and presents opportunities for early detection. American Association for Cancer Research 2022-10-27 /pmc/articles/PMC9615025/ /pubmed/36311816 http://dx.doi.org/10.1158/2767-9764.CRC-22-0314 Text en © 2022 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by/4.0/This open access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
spellingShingle Research Article
Ghezelayagh, Talayeh S.
Kohrn, Brendan F.
Fredrickson, Jeanne
Manhardt, Enna
Radke, Marc R.
Katz, Ronit
Gray, Heidi J.
Urban, Renata R.
Pennington, Kathryn P.
Liao, John B.
Doll, Kemi M.
Simons, Elise J.
Burzawa, Jennifer K.
Goff, Barbara A.
Speiser, Paul
Swisher, Elizabeth M.
Norquist, Barbara M.
Risques, Rosa Ana
Uterine Lavage Identifies Cancer Mutations and Increased TP53 Somatic Mutation Burden in Individuals with Ovarian Cancer
title Uterine Lavage Identifies Cancer Mutations and Increased TP53 Somatic Mutation Burden in Individuals with Ovarian Cancer
title_full Uterine Lavage Identifies Cancer Mutations and Increased TP53 Somatic Mutation Burden in Individuals with Ovarian Cancer
title_fullStr Uterine Lavage Identifies Cancer Mutations and Increased TP53 Somatic Mutation Burden in Individuals with Ovarian Cancer
title_full_unstemmed Uterine Lavage Identifies Cancer Mutations and Increased TP53 Somatic Mutation Burden in Individuals with Ovarian Cancer
title_short Uterine Lavage Identifies Cancer Mutations and Increased TP53 Somatic Mutation Burden in Individuals with Ovarian Cancer
title_sort uterine lavage identifies cancer mutations and increased tp53 somatic mutation burden in individuals with ovarian cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615025/
https://www.ncbi.nlm.nih.gov/pubmed/36311816
http://dx.doi.org/10.1158/2767-9764.CRC-22-0314
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