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Multiphoton Microscopy for Identifying Collagen Signatures Associated with Biochemical Recurrence in Prostate Cancer
Ina P Pavlova1, Sujit S Nair1, Dara Lundon1
1Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Label-free multiphoton microscopy identified specific prostate stroma collagen features linked to aggressive prostate cancer. These stromal signatures may help predict post-surgical recurrence risk in patients.
Area of Science:
- Oncology
- Biophysics
- Medical Imaging
Background:
- Prostate cancer exhibits variable behavior, making aggressive tumor identification challenging with current methods.
- The tumor stroma plays a role in prostate cancer progression, but stromal profiling lacks advanced imaging adoption.
- Current histopathological criteria focus on glandular tissue, potentially overlooking stromal contributions to tumor behavior.
Purpose of the Study:
- To identify prostate stromal features associated with aggressive tumor behavior and clinical outcomes using label-free multiphoton microscopy (MPM).
- To investigate the potential of MPM-identified stromal signatures for predicting post-surgical prostate cancer recurrence.
Main Methods:
- Label-free multiphoton microscopy (MPM) was employed on unstained prostatectomy and biopsy specimens.
- MPM was used to image tissue with stromal-specific contrast, analyzing collagen content, organization, and morphology.
- Extracted MPM signatures were screened for association with post-surgical disease recurrence in 59 prostatectomy and 17 biopsy patients.
Main Results:
- Tumors from patients with recurrent disease showed significantly higher MPM-identified collagen amount compared to non-recurrent cases.
- Increased collagen fiber intensity signal and width were observed in tumors associated with recurrent prostate cancer.
- A significant association was found between MPM-identified stromal collagen features and post-surgical disease recurrence.
Conclusions:
- MPM can effectively profile prostate tumor stroma, revealing features linked to aggressive behavior.
- MPM-identified stromal collagen characteristics show potential as biomarkers for predicting prostate cancer recurrence risk.
- This approach offers a novel, label-free method for assessing stromal contributions to prostate cancer prognosis.
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