Lysosomes are one of the most important cellular organelles in breast cancer invasion, metastasis, and extracellular matrix (ECM) remodeling, because they contain several degradative enzymes that can influence the integrity and structure of the ECM. The roles of lysosomes in the breast cancer degradome in vivo are virtually unexplored, due, in part, to a lack of noninvasive imaging capabilities available to visualize lysosomes. We recently developed and validated novel near-infrared fluorescent (NIRF) probes for noninvasive imaging of lysosomes in cell culture and tumors in vivo. Preliminary data obtained using these probes support the importance of lysosomes in breast cancer invasion and metastasis. We therefore intend to use these probes to understand and define the influence of lysosomes in cancer cells on invasion, metastasis, and ECM remodeling. Collagen type I (Col1) fibers are an important component of the ECM that can facilitate breast tumor formation, invasion, and metastasis. In this application, we will perform multi-scale molecular and functional imaging studies to characterize the Col1 fiber matrix in primary tumors and metastatic nodules to understand how Col1 fibers are shaped by the cancer degradome, and how this promotes invasion and metastasis. We will microscopically image Col1 fibers using innovative and clinically translatable optical second harmonic generation (SHG) microscopy, which detects an intrinsic optical signal from Col1 fibers. We will utilize the lysosome-specific NIRF probe IR-2 to image lysosomes in breast tumor models in vivo. We will optically image protease activities in vivo using MMPSense to detect matrix metalloprotease activities and ProSense to detect cathepsin activities. We will focus on understanding the role of lysosomes in breast tumor invasion in vivo in Aim 1, and in breast cancer metastasis in Aim 2 using multi-scale optical imaging approaches.
In Aim 3, we will determine the influence of lysosomes and lysosomal enzymes on Col1 fiber structure and integrity in solid tumors and metastatic nodules in vivo. These three Aims will provide novel insights into the role of lysosomes and lysosomal enzymes within the overall degradome in breast cancer models. The proposed research will further our understanding of the role of lysosomes in cancer invasion, metastasis, and Col1 fiber remodeling, which may eventually lead to novel lysosome-based therapeutic strategies to treat cancer. Understanding the role of lysosomes and lysosomal enzymes in invasion, metastasis, and Col1 fiber remodeling may lead to the development of innovative diagnostic imaging techniques that noninvasively detect lysosomal probes as surrogate markers to assess invasiveness, metastatic potential, and Col1 fiber structure in these tumors.

Public Health Relevance

The proposed research will further our understanding of the importance of lysosomes within the breast cancer degradome, and their role in invasion, metastasis, and extracellular matrix remodeling. The resulting findings may lead to novel lysosome-based therapeutic strategies to treat breast cancer. Imaging the lysosomal compartment size with the near-infrared probe IR-2 may provide a surrogate marker of cancer aggressiveness.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Research Project (R01)
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Clinical Molecular Imaging and Probe Development (CMIP)
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Mohla, Suresh
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Johns Hopkins University
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Rizwan, Asif; Paidi, Santosh Kumar; Zheng, Chao et al. (2018) Mapping the genetic basis of breast microcalcifications and their role in metastasis. Sci Rep 8:11067
Cheng, Menglin; Glunde, Kristine (2018) Magnetic Resonance Spectroscopy Studies of Mouse Models of Cancer. Methods Mol Biol 1718:331-345
Cheng, Menglin; Rizwan, Asif; Jiang, Lu et al. (2017) Molecular Effects of Doxorubicin on Choline Metabolism in Breast Cancer. Neoplasia 19:617-627
Paidi, Santosh Kumar; Rizwan, Asif; Zheng, Chao et al. (2017) Label-Free Raman Spectroscopy Detects Stromal Adaptations in Premetastatic Lungs Primed by Breast Cancer. Cancer Res 77:247-256
Chan, Kannie W Y; Jiang, Lu; Cheng, Menglin et al. (2016) CEST-MRI detects metabolite levels altered by breast cancer cell aggressiveness and chemotherapy response. NMR Biomed 29:806-16
Mascini, Nadine E; Cheng, Menglin; Jiang, Lu et al. (2016) Mass Spectrometry Imaging of the Hypoxia Marker Pimonidazole in a Breast Tumor Model. Anal Chem 88:3107-14
Jiang, Lu; Chughtai, Kamila; Purvine, Samuel O et al. (2015) MALDI-Mass Spectrometric Imaging Revealing Hypoxia-Driven Lipids and Proteins in a Breast Tumor Model. Anal Chem 87:5947-5956
Glunde, Kristine; Penet, Marie-France; Jiang, Lu et al. (2015) Choline metabolism-based molecular diagnosis of cancer: an update. Expert Rev Mol Diagn 15:735-47
Rizwan, Asif; Cheng, Menglin; Bhujwalla, Zaver M et al. (2015) Breast cancer cell adhesome and degradome interact to drive metastasis. NPJ Breast Cancer 1:15017
Rizwan, Asif; Bulte, Camille; Kalaichelvan, Anusha et al. (2015) Metastatic breast cancer cells in lymph nodes increase nodal collagen density. Sci Rep 5:10002

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