In Research Component 4, we will develop and clinically test endomicroscopic Collagen I (Coll) fiber imaging with an innovative ultra-compact fiber-optic biopsy needle-compatible endomicroscope that is optimized for second harmonic generation (SHG) microscopic detection of Coll fibers. We will integrate this endomicroscope with a routinely used clinical 14-gauge biopsy needle for SHG Coll imaging in preclinical and clinical studies. Coll fibers will be detected in primary breast tumors at the time of biopsy to predict lymph node involvement in breast cancer patients. The assessment of lymph node involvement, which is the most important predictor of prognosis, early on in the clinical management of breast cancer patients, would be of significant advantage in selecting treatment options at the early time of the initial breast biopsy. Coll fibers are an important component of the extracellular matrix (ECM) in breast tumors, and increased stromal Coll fibers facilitate breast tumor formation, invasion, and metastasis. High Coll fiber density in primary tumors promotes metastasis as cancer cells migrate along dense CoH fiber avenues within metastatic primary tumors to form metastatic nodules. We will therefore evaluate Coll fiber density as an imaging biomarker to predict tumor aggressiveness and lymph node metastasis. Coll fibers will be detected by optical SHG microscopy, a highly sensitive and noninvasive technique for imaging intrinsic signal from Coll fibers. We observed an increased Coll fiber density in lymph node positive (LN+) compared to lymph node negative (LN-) patients using ex vivo primary tumor specimens from breast cancer patients. Molecular optical endomicroscopic SHG imaging of Coll fibers, which directly reveals ECM integrity and structure, may serve as a surrogate marker to predict metastasis. We will test this hypothesis in three Aims.
In Aim 1, we will quantitatively characterize SHG-detected Coll fiber signatures in primary tumor specimens from breast cancer patients and evaluate if the quantitative Coll fiber parameters 'fiber distance'and 'fiber volume'predict lymph node status.
In Aim 2, we will develop, test, and optimize an ultra-compact fiber-optic SHG endomicroscope to detect Coll fibers.
In Aim 3, we will perform the first clinical feasibility study with this fiber-optic SHG endomicroscope during standard ultrasound-guided breast biopsy procedures and thereby obtain SHG Coll images that can help predict lymph node metastasis.
In Aims 1 and 3, we will also correlate Coll fiber density with standard breast cancer prognostic markers to determine the ability of CoH fiber density to uniquely select a population of patients that are at risk for lymph node involvement and potentially systemic disease. On a wider perspective, the device being built will also be useful for future applications such as detecting response to stromal depletion therapies that improve drug delivery in desmoplasmic tumors, and predicting drug delivery.
Most breast cancer patients succumb to their disease due to complications from metastasis, which is detected only later, by which time few treatment options are available. Developing imaging biomarkers to predict lymph node involvement, the most important predictor of prognosis in breast cancer patients, at the time of diagnosis would be of significant importance in breast cancer management. Clinical endomicroscopic Collagen I imaging developed in this application may provide an imaging biomarker to predict lymph node metastasis.
|Penet, Marie-France; Shah, Tariq; Bharti, Santosh et al. (2015) Metabolic imaging of pancreatic ductal adenocarcinoma detects altered choline metabolism. Clin Cancer Res 21:386-95|
|Ahn, Eun Hyun; Kim, Younghoon; Kshitiz et al. (2014) Spatial control of adult stem cell fate using nanotopographic cues. Biomaterials 35:2401-10|
|El Khouli, Riham H; Macura, Katarzyna J; Kamel, Ihab R et al. (2014) The effects of applying breast compression in dynamic contrast material-enhanced MR imaging. Radiology 272:79-90|
|Nimmagadda, Sridhar; Pullambhatla, Mrudula; Lisok, Ala et al. (2014) Imaging Axl expression in pancreatic and prostate cancer xenografts. Biochem Biophys Res Commun 443:635-40|
|Yadav, Nirbhay N; Xu, Jiadi; Bar-Shir, Amnon et al. (2014) Natural D-glucose as a biodegradable MRI relaxation agent. Magn Reson Med 72:823-8|
|Gadiya, Mayur; Mori, Noriko; Cao, Maria D et al. (2014) Phospholipase D1 and choline kinase-? are interactive targets in breast cancer. Cancer Biol Ther 15:593-601|
|Shamir, Eliah R; Pappalardo, Elisa; Jorgens, Danielle M et al. (2014) Twist1-induced dissemination preserves epithelial identity and requires E-cadherin. J Cell Biol 204:839-56|
|Huang, Peng; Ou, Ai-hua; Piantadosi, Steven et al. (2014) Formulating appropriate statistical hypotheses for treatment comparison in clinical trial design and analysis. Contemp Clin Trials 39:294-302|
|Subhawong, Ty K; Jacobs, Michael A; Fayad, Laura M (2014) Insights into quantitative diffusion-weighted MRI for musculoskeletal tumor imaging. AJR Am J Roentgenol 203:560-72|
|Zhu, Wenlian; Kato, Yoshinori; Artemov, Dmitri (2014) Water exchange-minimizing DCE-MRI protocol to detect changes in tumor vascular parameters: effect of bevacizumab/paclitaxel combination therapy. MAGMA 27:161-70|
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