Abstract
Purpose
Limited knowledge exists on the detection of breast cancer stem cell (BCSC)-related mutations in circulating free DNA (cfDNA) from patients with advanced cancers. Identification of new cancer biomarkers may allow for earlier detection of disease progression and treatment strategy modifications.
Methods
We conducted a prospective study to determine the feasibility and prognostic utility of droplet digital polymerase chain reaction (ddPCR)-based BCSC gene mutation analysis of cfDNA in patients with breast cancer.
Results
Detection of quantitative BCSC gene mutation in cfDNA by ddPCR mirrors disease progression and thus may represent a valuable and cost-effective measure of tumor burden. We have previously shown that hematological and neurological expressed 1-like (HN1L), ribosomal protein L39 (RPL39), and myeloid leukemia factor 2 (MLF2) are novel targets for BCSC self-renewal, and targeting these genetic alterations could be useful for personalized genomic-based therapy.
Conclusion
BCSC mutation detection in cfDNA may have important implications for diagnosis, prognosis, and serial monitoring.
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Data availability
The datasets supporting the conclusions for the current study are stored in secured shared drive and will be shared by the corresponding author upon reasonable request.
Abbreviations
- BCSC:
-
Breast cancer stem cell
- cfDNA:
-
Circulating free DNA
- ddPCR:
-
Droplet digital polymerase chain reaction
- HN1L:
-
Hematological and neurological expressed 1-like
- RPL39:
-
Ribosomal protein L39
- MLF2:
-
Myeloid leukemia factor 2
- RNA-Seq:
-
RNA deep sequencing
- SIFT:
-
Sorting intolerant from tolerant
- HER2:
-
Human epidermal growth factor receptor 2
- TTM:
-
Time-to-metastasis
- NOS:
-
Nitric oxide synthase
- ER:
-
Estrogen receptor
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Acknowledgements
Any opinions, findings, and conclusions expressed in this materials are those of the author(s) and do not necessarily reflect those of the American Society of Clinical Oncology® or the Conquer Cancer Foundation, or The Breast Cancer Research Foundation. We would like to thank Dr. Ana María González-Angulo from MD Anderson Hospital who identified the samples from GEICAM investigators.
Funding
This work was supported by a 2013 Conquer Cancer Foundation of ASCO Long-term International Fellowship (LIFe) in Breast Cancer, supported by The Breast Cancer Research Foundation.
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Conceptualization, ZBL, BD, and JCC; Methodology, ZBL, NEE, AKE, BD, HW, and JCC; Investigation, ZBL, DSC, YL, HW, and BD; Formal Analysis, ZBL, NEE, JEE, and BD.; Resources, AKE, HJH, ZMS, JGD, GBM, and JCC; Writing—Original Draft, ZBL; Writing—Review and Editing, ZBL, JGD, DK, BD, and JCC; Supervision, BD and JCC; Funding Acquisition, JCC.
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The authors declare no potential conflicts of interest with the material reported in this manuscript and have no financial relationship with the organization that funded this study. Individual conflict of interest unrelated to the data presented here are listed in the conflict of interest form.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The study was approved by the Institutional Review Board at the Houston Methodist Hospital (IRB protocol numbers 0908-0265, 0811-0147, and 0208-0033) and written informed consent was obtained from all patients before sample and data collection.
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Liu, ZB., Ezzedine, N.E., Eterovic, A.K. et al. Detection of breast cancer stem cell gene mutations in circulating free DNA during the evolution of metastases. Breast Cancer Res Treat 178, 251–261 (2019). https://doi.org/10.1007/s10549-019-05374-x
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DOI: https://doi.org/10.1007/s10549-019-05374-x