Multi-Modality Plasma-Based Detection of Minimal Residual Disease in Triple-Negative Breast Cancer

Indiana University-Purdue University Indianapolis (IUPUI) === Triple-negative breast cancers (TNBCs) are pathologically defined by the absence of estrogen, progesterone, and HER2 receptors. Compared to other breast cancers, TNBC has a relatively high mortality. In addition, TNBC patients are more...

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Main Author: Chen, Yu-Hsiang
Other Authors: Radovich, Milan
Language:en_US
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/1805/20202
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spelling ndltd-IUPUI-oai-scholarworks.iupui.edu-1805-202022021-08-09T05:06:36Z Multi-Modality Plasma-Based Detection of Minimal Residual Disease in Triple-Negative Breast Cancer Chen, Yu-Hsiang Radovich, Milan Ivan, Mircea Li, Lang Liu, Yunlong Schneider, Bryan P. Skaar, Todd C. Medical & Molecular Genetics circulating tumor DNA/RNA early cancer detection liquid biopsies minimal residual disease next-generation sequencing triple-negative breast cancer Indiana University-Purdue University Indianapolis (IUPUI) Triple-negative breast cancers (TNBCs) are pathologically defined by the absence of estrogen, progesterone, and HER2 receptors. Compared to other breast cancers, TNBC has a relatively high mortality. In addition, TNBC patients are more likely to relapse in the first few years after treatment, and experiencing a shorter median time from recurrence to death. Detecting the presence of tumor in patients who are technically “disease-free” after neoadjuvant chemotherapy and surgery as early as possible might be able to predict recurrence of patients, and then provide timely intervention for additional therapy. To this end, I applied the analysis of “liquid biopsies” for early detection of minimal residual disease (MRD) on early-stage TNBC patients using next-generation sequencing. For the first part of this study, I focused on detecting circulating tumor DNA (ctDNA) from TNBC patients after neoadjuvant chemotherapy and surgery. First, patient-specific somatic mutations were identified by sequencing primary tumors. From these data, 82% of the patients had at least one TP53 mutation, followed by 16% of the patients having at least one PIK3CA mutation. Next, I sequenced matched plasma samples collected after surgery to identify ctDNA with the same mutations. I observed that by detecting corresponding ctDNA I was able to predict rapid recurrence, but not distant recurrence. To increase the sensitivity of MRD detection, in the second part I developed a strategy to co-detect ctDNA along with circulating tumor RNA (ctRNA). An advantage of ctRNA is its active release into the circulation from living cancer cells. Preliminary data showed that more mutant molecules were identified after incorporating ctRNA with ctDNA detection in a metastatic breast cancer setting. A validation study in early-stage TNBC is in progress. In summary, my study suggests that co-detection of ctDNA and ctRNA could be a potential solution for the early detection of disease recurrence. 2021-08-05 2019-08-06T16:17:14Z 2021-08-08T09:30:11Z 2019-07 Dissertation http://hdl.handle.net/1805/20202 en_US
collection NDLTD
language en_US
sources NDLTD
topic circulating tumor DNA/RNA
early cancer detection
liquid biopsies
minimal residual disease
next-generation sequencing
triple-negative breast cancer
spellingShingle circulating tumor DNA/RNA
early cancer detection
liquid biopsies
minimal residual disease
next-generation sequencing
triple-negative breast cancer
Chen, Yu-Hsiang
Multi-Modality Plasma-Based Detection of Minimal Residual Disease in Triple-Negative Breast Cancer
description Indiana University-Purdue University Indianapolis (IUPUI) === Triple-negative breast cancers (TNBCs) are pathologically defined by the absence of estrogen, progesterone, and HER2 receptors. Compared to other breast cancers, TNBC has a relatively high mortality. In addition, TNBC patients are more likely to relapse in the first few years after treatment, and experiencing a shorter median time from recurrence to death. Detecting the presence of tumor in patients who are technically “disease-free” after neoadjuvant chemotherapy and surgery as early as possible might be able to predict recurrence of patients, and then provide timely intervention for additional therapy. To this end, I applied the analysis of “liquid biopsies” for early detection of minimal residual disease (MRD) on early-stage TNBC patients using next-generation sequencing. For the first part of this study, I focused on detecting circulating tumor DNA (ctDNA) from TNBC patients after neoadjuvant chemotherapy and surgery. First, patient-specific somatic mutations were identified by sequencing primary tumors. From these data, 82% of the patients had at least one TP53 mutation, followed by 16% of the patients having at least one PIK3CA mutation. Next, I sequenced matched plasma samples collected after surgery to identify ctDNA with the same mutations. I observed that by detecting corresponding ctDNA I was able to predict rapid recurrence, but not distant recurrence. To increase the sensitivity of MRD detection, in the second part I developed a strategy to co-detect ctDNA along with circulating tumor RNA (ctRNA). An advantage of ctRNA is its active release into the circulation from living cancer cells. Preliminary data showed that more mutant molecules were identified after incorporating ctRNA with ctDNA detection in a metastatic breast cancer setting. A validation study in early-stage TNBC is in progress. In summary, my study suggests that co-detection of ctDNA and ctRNA could be a potential solution for the early detection of disease recurrence. === 2021-08-05
author2 Radovich, Milan
author_facet Radovich, Milan
Chen, Yu-Hsiang
author Chen, Yu-Hsiang
author_sort Chen, Yu-Hsiang
title Multi-Modality Plasma-Based Detection of Minimal Residual Disease in Triple-Negative Breast Cancer
title_short Multi-Modality Plasma-Based Detection of Minimal Residual Disease in Triple-Negative Breast Cancer
title_full Multi-Modality Plasma-Based Detection of Minimal Residual Disease in Triple-Negative Breast Cancer
title_fullStr Multi-Modality Plasma-Based Detection of Minimal Residual Disease in Triple-Negative Breast Cancer
title_full_unstemmed Multi-Modality Plasma-Based Detection of Minimal Residual Disease in Triple-Negative Breast Cancer
title_sort multi-modality plasma-based detection of minimal residual disease in triple-negative breast cancer
publishDate 2019
url http://hdl.handle.net/1805/20202
work_keys_str_mv AT chenyuhsiang multimodalityplasmabaseddetectionofminimalresidualdiseaseintriplenegativebreastcancer
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