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Circulating tumor DNA as a prognostic marker in high-risk endometrial cancer
BACKGROUND: Currently, there is no reliable blood-based marker to track tumor recurrence in endometrial cancer (EC) patients. Liquid biopsies, specifically, circulating tumor DNA (ctDNA) analysis emerged as a way to monitor tumor metastasis. The objective of this study was to examine the feasibility...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860194/ https://www.ncbi.nlm.nih.gov/pubmed/33536036 http://dx.doi.org/10.1186/s12967-021-02722-8 |
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author | Feng, Weiwei Jia, Nan Jiao, Haining Chen, Jun Chen, Yan Zhang, Yueru Zhu, Menghan Zhu, Chongying Shen, Lifei Long, Wenqing |
author_facet | Feng, Weiwei Jia, Nan Jiao, Haining Chen, Jun Chen, Yan Zhang, Yueru Zhu, Menghan Zhu, Chongying Shen, Lifei Long, Wenqing |
author_sort | Feng, Weiwei |
collection | PubMed |
description | BACKGROUND: Currently, there is no reliable blood-based marker to track tumor recurrence in endometrial cancer (EC) patients. Liquid biopsies, specifically, circulating tumor DNA (ctDNA) analysis emerged as a way to monitor tumor metastasis. The objective of this study was to examine the feasibility of ctDNA in recurrence surveillance and prognostic evaluation of high-risk EC. METHODS: Tumor tissues from nine high-risk EC patients were collected during primary surgery and tumor DNA was subjected to next generation sequencing to obtain the initial mutation spectrum using a 78 cancer-associated gene panel. Baseline and serial post-operative plasma samples were collected and droplet digital PCR (ddPCR) assays for patient-specific mutations were developed to track the mutations in the ctDNA in serial plasma samples. Log-rank test was used to assess the association between detection of ctDNA before or after surgery and disease-free survival. RESULTS: Somatic mutations were identified in all of the cases. The most frequent mutated genes were PTEN, FAT4, ARID1A, TP53, ZFHX3, ATM, and FBXW7. For each patient, personalized ddPCR assays were designed for one-to-three high-frequent mutations. DdPCR analysis and tumor panel sequencing had a high level of agreement in the assessment of the mutant allele fractions in baseline tumor tissue DNA. CtDNA was detected in 67% (6 of 9) of baseline plasma samples, which was not predictive of disease-free survival (DFS). CtDNA was detected in serial post-operative plasma samples (ctDNA tracking) of 44% (4 of 9) of the patients, which predicted tumor relapse. The DFS was a median of 9 months (ctDNA detected) versus median DFS undefined (ctDNA not detected), with a hazard ratio of 17.43 (95% CI, 1.616–188.3). The sensitivity of post-operative ctDNA detection in estimating tumor relapse was 100% and specificity was 83.3%, which was superior to CA125 or HE4. CONCLUSIONS: Personalized ctDNA detection was effective and stable for high-risk EC. CtDNA tracking in post-operative plasma is valuable for predicting tumor recurrence. |
format | Online Article Text |
id | pubmed-7860194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78601942021-02-05 Circulating tumor DNA as a prognostic marker in high-risk endometrial cancer Feng, Weiwei Jia, Nan Jiao, Haining Chen, Jun Chen, Yan Zhang, Yueru Zhu, Menghan Zhu, Chongying Shen, Lifei Long, Wenqing J Transl Med Research BACKGROUND: Currently, there is no reliable blood-based marker to track tumor recurrence in endometrial cancer (EC) patients. Liquid biopsies, specifically, circulating tumor DNA (ctDNA) analysis emerged as a way to monitor tumor metastasis. The objective of this study was to examine the feasibility of ctDNA in recurrence surveillance and prognostic evaluation of high-risk EC. METHODS: Tumor tissues from nine high-risk EC patients were collected during primary surgery and tumor DNA was subjected to next generation sequencing to obtain the initial mutation spectrum using a 78 cancer-associated gene panel. Baseline and serial post-operative plasma samples were collected and droplet digital PCR (ddPCR) assays for patient-specific mutations were developed to track the mutations in the ctDNA in serial plasma samples. Log-rank test was used to assess the association between detection of ctDNA before or after surgery and disease-free survival. RESULTS: Somatic mutations were identified in all of the cases. The most frequent mutated genes were PTEN, FAT4, ARID1A, TP53, ZFHX3, ATM, and FBXW7. For each patient, personalized ddPCR assays were designed for one-to-three high-frequent mutations. DdPCR analysis and tumor panel sequencing had a high level of agreement in the assessment of the mutant allele fractions in baseline tumor tissue DNA. CtDNA was detected in 67% (6 of 9) of baseline plasma samples, which was not predictive of disease-free survival (DFS). CtDNA was detected in serial post-operative plasma samples (ctDNA tracking) of 44% (4 of 9) of the patients, which predicted tumor relapse. The DFS was a median of 9 months (ctDNA detected) versus median DFS undefined (ctDNA not detected), with a hazard ratio of 17.43 (95% CI, 1.616–188.3). The sensitivity of post-operative ctDNA detection in estimating tumor relapse was 100% and specificity was 83.3%, which was superior to CA125 or HE4. CONCLUSIONS: Personalized ctDNA detection was effective and stable for high-risk EC. CtDNA tracking in post-operative plasma is valuable for predicting tumor recurrence. BioMed Central 2021-02-03 /pmc/articles/PMC7860194/ /pubmed/33536036 http://dx.doi.org/10.1186/s12967-021-02722-8 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Feng, Weiwei Jia, Nan Jiao, Haining Chen, Jun Chen, Yan Zhang, Yueru Zhu, Menghan Zhu, Chongying Shen, Lifei Long, Wenqing Circulating tumor DNA as a prognostic marker in high-risk endometrial cancer |
title | Circulating tumor DNA as a prognostic marker in high-risk endometrial cancer |
title_full | Circulating tumor DNA as a prognostic marker in high-risk endometrial cancer |
title_fullStr | Circulating tumor DNA as a prognostic marker in high-risk endometrial cancer |
title_full_unstemmed | Circulating tumor DNA as a prognostic marker in high-risk endometrial cancer |
title_short | Circulating tumor DNA as a prognostic marker in high-risk endometrial cancer |
title_sort | circulating tumor dna as a prognostic marker in high-risk endometrial cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860194/ https://www.ncbi.nlm.nih.gov/pubmed/33536036 http://dx.doi.org/10.1186/s12967-021-02722-8 |
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