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Label-free detection of residual breast cancer after neoadjuvant chemotherapy using biomedical multiphoton microscopy

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Abstract

Neoadjuvant chemotherapy has become a standard treatment for breast cancer as it has been shown to increase the rate of breast preservation and to improve outcome in patients. However, how to accurately detect residual tumors is still a challenge. In this work, we tried to use multiphoton imaging to look for residual breast tumors after preoperative therapy. Imaging results demonstrate that multiphoton microscopy can identify remaining tumor tissues and can even detect rarely residual tumor cells, which would be helpful for surgeons to accurately assess the surgical margin in real time to confirm negative margins during operation. We also performed a quantification analysis of the nuclear area of tumor cells before and after treatment with neoadjuvant chemotherapy. The measurement data show that the tumor cell nuclei after chemotherapy are significantly larger than those without treatment, and there is a statistically significant difference in the nuclear areas between the pre-treatment and post-treatment mammary carcinoma. Our pilot study indicates the potential utility of multiphoton imaging for detecting residual breast carcinoma tissues in fresh, ex vivo specimens without the use of exogenous contrast agents. We foresee real-time intraoperative applications of multiphoton microscopy in evaluating therapy response, and thereby helping clinicians develop individualized treatment plans.

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Funding

The project was supported by the National Natural Science Foundation of China (Grant No. 81671730), the Joint Funds of Fujian Provincial Health and Education Research (Grant No. WKJ2016-2-28), the Special Funds of the Central Government Guiding Local Science and Technology Development (Grant No. 2017L3009), the Natural Science Foundation of Fujian Province (Grant Nos. 2018J01301, 2017J05100), the Fujian Province Educational Project A (Grant No. JAT160131), and the Program for Changjiang Scholars and Innovative Research Team in University (Grant No. IRT_15R10).

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Authors and Affiliations

  1. Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, People’s Republic of China

    Zhonghua Han & Chuan Wang

  2. Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, People’s Republic of China

    Lianhuang Li, Zhenlin Zhan & Jianxin Chen

  3. Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, 350001, People’s Republic of China

    Deyong Kang

  4. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA

    Haohua Tu

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  1. Zhonghua Han
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  2. Lianhuang Li
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  4. Zhenlin Zhan
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  5. Haohua Tu
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  6. Chuan Wang
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  7. Jianxin Chen
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Correspondence to Lianhuang Li.

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All procedures performed in this study involving human participants were in accordance with the ethical standards of the Institutional Review Board of the Fujian Medical University Union Hospital.

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Every patient signed an informed consent before study participation.

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The authors declare that they have no conflict of interest.

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Han, Z., Li, L., Kang, D. et al. Label-free detection of residual breast cancer after neoadjuvant chemotherapy using biomedical multiphoton microscopy. Lasers Med Sci 34, 1595–1601 (2019). https://doi.org/10.1007/s10103-019-02754-z

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  • DOI: https://doi.org/10.1007/s10103-019-02754-z

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