Multiphoton Microscopy for Identifying Collagen Signatures Associated with Biochemical Recurrence in Prostate Cancer Patients
Prostate cancer is a heterogeneous disease that remains dormant for long periods or acts aggressively with poor clinical outcomes. Identifying aggressive prostate tumor behavior using current glandular-focused histopathological criteria is challenging. Recent evidence has implicated the stroma in mo...
Guardado en:
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d8316fc960fc40c6ac773fb15e79a94d |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:d8316fc960fc40c6ac773fb15e79a94d |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:d8316fc960fc40c6ac773fb15e79a94d2021-11-25T18:06:48ZMultiphoton Microscopy for Identifying Collagen Signatures Associated with Biochemical Recurrence in Prostate Cancer Patients10.3390/jpm111110612075-4426https://doaj.org/article/d8316fc960fc40c6ac773fb15e79a94d2021-10-01T00:00:00Zhttps://www.mdpi.com/2075-4426/11/11/1061https://doaj.org/toc/2075-4426Prostate cancer is a heterogeneous disease that remains dormant for long periods or acts aggressively with poor clinical outcomes. Identifying aggressive prostate tumor behavior using current glandular-focused histopathological criteria is challenging. Recent evidence has implicated the stroma in modulating prostate tumor behavior and in predicting post-surgical outcomes. However, the emergence of stromal signatures has been limited, due in part to the lack of adoption of imaging modalities for stromal-specific profiling. Herein, label-free multiphoton microscopy (MPM), with its ability to image tissue with stromal-specific contrast, is used to identify prostate stromal features associated with aggressive tumor behavior and clinical outcome. MPM was performed on unstained prostatectomy specimens from 59 patients and on biopsy specimens from 17 patients with known post-surgery recurrence status. MPM-identified collagen content, organization, and morphological tumor signatures were extracted for each patient and screened for association with recurrent disease. Compared to tumors from patients whose disease did not recur, tumors from patients with recurrent disease exhibited higher MPM-identified collagen amount and collagen fiber intensity signal and width. Our study shows an association between MPM-identified stromal collagen features of prostate tumors and post-surgical disease recurrence, suggesting their potential for prostate cancer risk assessment.Ina P. PavlovaSujit S. NairDara LundonStanislaw SobotkaReza RoshandelPatrick-Julien TreacyParita RatnaniRachel BrodyJonathan I. EpsteinGustavo E. AyalaNatasha KyprianouAshutosh K. TewariMDPI AGarticleoptical microscopyprostate cancerreactive stromacollagen signaturesprognosisMedicineRENJournal of Personalized Medicine, Vol 11, Iss 1061, p 1061 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
optical microscopy prostate cancer reactive stroma collagen signatures prognosis Medicine R |
spellingShingle |
optical microscopy prostate cancer reactive stroma collagen signatures prognosis Medicine R Ina P. Pavlova Sujit S. Nair Dara Lundon Stanislaw Sobotka Reza Roshandel Patrick-Julien Treacy Parita Ratnani Rachel Brody Jonathan I. Epstein Gustavo E. Ayala Natasha Kyprianou Ashutosh K. Tewari Multiphoton Microscopy for Identifying Collagen Signatures Associated with Biochemical Recurrence in Prostate Cancer Patients |
description |
Prostate cancer is a heterogeneous disease that remains dormant for long periods or acts aggressively with poor clinical outcomes. Identifying aggressive prostate tumor behavior using current glandular-focused histopathological criteria is challenging. Recent evidence has implicated the stroma in modulating prostate tumor behavior and in predicting post-surgical outcomes. However, the emergence of stromal signatures has been limited, due in part to the lack of adoption of imaging modalities for stromal-specific profiling. Herein, label-free multiphoton microscopy (MPM), with its ability to image tissue with stromal-specific contrast, is used to identify prostate stromal features associated with aggressive tumor behavior and clinical outcome. MPM was performed on unstained prostatectomy specimens from 59 patients and on biopsy specimens from 17 patients with known post-surgery recurrence status. MPM-identified collagen content, organization, and morphological tumor signatures were extracted for each patient and screened for association with recurrent disease. Compared to tumors from patients whose disease did not recur, tumors from patients with recurrent disease exhibited higher MPM-identified collagen amount and collagen fiber intensity signal and width. Our study shows an association between MPM-identified stromal collagen features of prostate tumors and post-surgical disease recurrence, suggesting their potential for prostate cancer risk assessment. |
format |
article |
author |
Ina P. Pavlova Sujit S. Nair Dara Lundon Stanislaw Sobotka Reza Roshandel Patrick-Julien Treacy Parita Ratnani Rachel Brody Jonathan I. Epstein Gustavo E. Ayala Natasha Kyprianou Ashutosh K. Tewari |
author_facet |
Ina P. Pavlova Sujit S. Nair Dara Lundon Stanislaw Sobotka Reza Roshandel Patrick-Julien Treacy Parita Ratnani Rachel Brody Jonathan I. Epstein Gustavo E. Ayala Natasha Kyprianou Ashutosh K. Tewari |
author_sort |
Ina P. Pavlova |
title |
Multiphoton Microscopy for Identifying Collagen Signatures Associated with Biochemical Recurrence in Prostate Cancer Patients |
title_short |
Multiphoton Microscopy for Identifying Collagen Signatures Associated with Biochemical Recurrence in Prostate Cancer Patients |
title_full |
Multiphoton Microscopy for Identifying Collagen Signatures Associated with Biochemical Recurrence in Prostate Cancer Patients |
title_fullStr |
Multiphoton Microscopy for Identifying Collagen Signatures Associated with Biochemical Recurrence in Prostate Cancer Patients |
title_full_unstemmed |
Multiphoton Microscopy for Identifying Collagen Signatures Associated with Biochemical Recurrence in Prostate Cancer Patients |
title_sort |
multiphoton microscopy for identifying collagen signatures associated with biochemical recurrence in prostate cancer patients |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/d8316fc960fc40c6ac773fb15e79a94d |
work_keys_str_mv |
AT inappavlova multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients AT sujitsnair multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients AT daralundon multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients AT stanislawsobotka multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients AT rezaroshandel multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients AT patrickjulientreacy multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients AT paritaratnani multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients AT rachelbrody multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients AT jonathaniepstein multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients AT gustavoeayala multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients AT natashakyprianou multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients AT ashutoshktewari multiphotonmicroscopyforidentifyingcollagensignaturesassociatedwithbiochemicalrecurrenceinprostatecancerpatients |
_version_ |
1718411648306249728 |