Literature DB >> 20201840

Raman spectral imaging of prostate cancer: can Raman molecular imaging be used to augment standard histopathology?

Matthew Tollefson1, James Magera, Thomas Sebo, Jeffrey Cohen, Amy Drauch, John Maier, Igor Frank.   

Abstract

OBJECTIVE: To evaluate whether Raman molecular imaging (RMI, which combines digital imaging and analytical spectroscopy to evaluate the biochemical composition of interrogated material) can be used to identify biochemical differences in patients with Gleason 7 prostate cancer who progress to metastatic disease and die from prostate cancer. PATIENTS AND METHODS: We identified 38 patients who had a radical prostatectomy for Gleason 7 adenocarcinoma of the prostate. Half progressed to metastatic disease and half had no evidence of disease after treatment. Patients were matched for preoperative prostate-specific antigen level, surgical margin status, pathological stage, tumour volume, age at surgery, year of surgery and DNA ploidy. Sequential 5 microm sections were obtained from paraffin-embedded tissue and one genitourinary pathologist selected areas of tumour for study. Principal component analysis was used to investigate the correlation between spectral response and clinical outcome.
RESULTS: The analysis was able to distinguish between those with progressive disease and those with no evidence of disease, most notably within the Gleason 3 regions when evaluating the epithelium and stroma as separate histological elements. A two-sample t-test gave P < 0.01 for both the Gleason 3 and 4 epithelium and stroma classes.
CONCLUSIONS: RMI is a novel technique that shows promise for identifying patients at risk of progression by visualizing molecular information not seen using other current methods. In Gleason 7 disease, RMI shows distinctive chemical differences in patients who progress to metastatic disease in both Gleason pattern 3 and 4 regions. This preliminary work lays the foundation for the further study of RMI for evaluating prostate tissue.

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Year:  2010        PMID: 20201840     DOI: 10.1111/j.1464-410X.2010.09185.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  5 in total

1.  Discrimination of basal cell carcinoma and melanoma from normal skin biopsies in vitro through Raman spectroscopy and principal component analysis.

Authors:  Benito Bodanese; Fabrício Luiz Silveira; Renato Amaro Zângaro; Marcos Tadeu T Pacheco; Carlos Augusto Pasqualucci; Landulfo Silveira
Journal:  Photomed Laser Surg       Date:  2012-06-13       Impact factor: 2.796

2.  [Application of Raman-based technologies in the detection of urological tumors].

Authors:  Z Hao; S H Yue; L Q Zhou
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2022-08-18

3.  Diagnosis of tumors during tissue-conserving surgery with integrated autofluorescence and Raman scattering microscopy.

Authors:  Kenny Kong; Christopher J Rowlands; Sandeep Varma; William Perkins; Iain H Leach; Alexey A Koloydenko; Hywel C Williams; Ioan Notingher
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-03       Impact factor: 11.205

Review 4.  Prostate Cancer for the Internist.

Authors:  Shikha Jaiswal; Rehan Sarmad; Sumant Arora; Radhikha Dasaraju; Komal Sarmad
Journal:  N Am J Med Sci       Date:  2015-10

5.  Endothelium in spots--high-content imaging of lipid rafts clusters in db/db mice.

Authors:  Marta Pilarczyk; Lukasz Mateuszuk; Anna Rygula; Mariusz Kepczynski; Stefan Chlopicki; Malgorzata Baranska; Agnieszka Kaczor
Journal:  PLoS One       Date:  2014-08-28       Impact factor: 3.240

  5 in total

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