Abstract

Circulating tumor DNA (ctDNA) correlates with tumor burden and provides early detection of treatment response and tumor genetic alterations in breast cancer (BC). In this study, we aimed to identify genetic alterations during the process of tumor clonal evolution and examine if ctDNA level well indicated clinical response to neoadjuvant chemotherapy (NAC) and BC recurrence.We performed targeted ultra-deep sequencing of plasma DNAs, matched germline DNAs and tumor DNAs from locally advanced BC patients. Serial plasma DNAs were collected at diagnosis, after the 1st cycle of NAC and after curative surgery. For the target enrichment, we designed RNA baits covering a total of ∼202kb regions of the human genome including a total of 82 cancer-related genes.For ctDNA, 15 serial samples were collected and 87% of plasma SNVs were detected in 13 BC samples that had somatic alterations in tumor tissues. The TP53 mutation was most commonly detected in primary tumor tissues and plasma followed by BRCA1 and BRCA2. At BC diagnosis, the amount of plasma SNVs did not correlate with clinical stage at diagnosis. With respect to the therapeutic effects of NAC, we found two samples in which ctDNA disappeared after the 1st NAC cycle achieved a pathologic complete response (pCR). In addition, the amount of ctDNA correlated with residual cancer volume detected by breast MRI.This targeted ultra-deep sequencing for ctDNA analysis would be useful for monitoring tumor burden and drug resistance. Most of all, we suggest that ctDNA could be the earliest predictor of NAC response.

Highlights

  • Advanced breast cancer (LABC) is defined as breast cancer (BC) larger than 5 centimeters or with lymph node metastasis [1]

  • CtDNA were collected from only 15 patients because one patient withdrew before first sampling, one patient was diagnosed as breast angiosarcoma and three Circulating tumor DNA (ctDNA) samples were of poor quality

  • Plasma SNVs after the 1st neoadjuvant chemotherapy (NAC) cycle represented tumor response to 8 cycles of NAC and variation in plasma SNVs was associated with tumor response

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Summary

Introduction

Advanced breast cancer (LABC) is defined as breast cancer (BC) larger than 5 centimeters or with lymph node metastasis [1]. Response to NAC helps predict BC prognosis [3]. Pathologic complete response (pCR), defined as no residual tumor cells after NAC, represents prolonged survival without BC recurrence and residual cancer burden score, based on residual tumor volume, and can more accurately predict BC outcomes [4]. This clinical information does not provide biological information about BC that can be applied to BC treatment. Primary tumor biopsy is performed to determine biological characteristics related to prognosis; serial biopsy of BC specimens can identify pathological changes under NAC. Because NAC has a role in good research conditions as above, NAC condition could provide a great environment for window-of-opportunity trials [9]

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