Literature DB >> 20949203

Discrimination of zone-specific spectral signatures in normal human prostate using Raman spectroscopy.

Imran I Patel1, Francis L Martin.   

Abstract

The prostate gland is the most common site of pathology in human males. Using the urethra as an anatomical reference point, it can be divided into three distinct zones known as the transition zone (TZ), peripheral zone (PZ) and central zone (CZ). The pathological conditions of benign prostatic hypertrophy and/or prostate adenocarcinoma are highly prevalent in this gland. This preliminary study set out to determine whether biochemical intra-individual differences between normal prostate zones could be identified using Raman spectroscopy with subsequent exploratory analyses. A normal (benign) prostate transverse tissue section perpendicular to the rectal surface and above the verumontanum was obtained in a paraffin-embedded block. A 10-µm-thick slice was floated onto a gold substrate, de-waxed and analysed using Raman spectroscopy (200 epithelial-cell and 140 stromal spectra/zone). Raman spectra were subsequently processed in the 1800-367 cm(-1) spectral region employing principal component analysis (PCA) to determine whether wavenumber-intensity relationships expressed as single points in hyperspace might reveal biochemical differences associated with inter-zone pathological susceptibility. Visualisation of PCA scores plots and their corresponding loadings plots highlighted 781 cm(-1) (cytosine/uracil) and 787 cm(-1) (DNA) as the key discriminating factors segregating PZ from less susceptible TZ and CZ epithelia (P < 0.001). Conversely, 1459 cm(-1) (lipids and proteins) and 1003 cm(-1) (phenylalanine) were identified as the key biochemical factor distinguishing TZ from CZ epithelia (P < 0.05). All stromal zones were discriminated by the protein/lipid region (1459 cm(-1) and 1100 cm(-1)) with DNA/RNA region (781 cm(-1) and 787 cm(-1)) only highlighted between PZ and CZ (P < 0.05). This novel approach identifies biochemical markers that may have aetiological functional roles towards susceptibility of human prostate zones to specific pathological conditions.

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Year:  2010        PMID: 20949203     DOI: 10.1039/c0an00518e

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  9 in total

1.  Using Raman spectroscopy to characterize biological materials.

Authors:  Holly J Butler; Lorna Ashton; Benjamin Bird; Gianfelice Cinque; Kelly Curtis; Jennifer Dorney; Karen Esmonde-White; Nigel J Fullwood; Benjamin Gardner; Pierre L Martin-Hirsch; Michael J Walsh; Martin R McAinsh; Nicholas Stone; Francis L Martin
Journal:  Nat Protoc       Date:  2016-03-10       Impact factor: 13.491

2.  Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging.

Authors:  Sumanta Kar; Sharad V Jaswandkar; Kalpana S Katti; Jeon Woong Kang; Peter T C So; Ramasamy Paulmurugan; Dorian Liepmann; Renugopalakrishnan Venkatesan; Dinesh R Katti
Journal:  Sci Rep       Date:  2022-05-16       Impact factor: 4.996

3.  Infrared microspectroscopy identifies biomolecular changes associated with chronic oxidative stress in mammary epithelium and stroma of breast tissues from healthy young women: implications for latent stages of breast carcinogenesis.

Authors:  Imran I Patel; Debra A Shearer; Simon W Fogarty; Nigel J Fullwood; Luca Quaroni; Francis L Martin; Judith Weisz
Journal:  Cancer Biol Ther       Date:  2013-11-01       Impact factor: 4.742

Review 4.  Opportunities for live cell FT-infrared imaging: macromolecule identification with 2D and 3D localization.

Authors:  Eric C Mattson; Ebrahim Aboualizadeh; Marie E Barabas; Cheryl L Stucky; Carol J Hirschmugl
Journal:  Int J Mol Sci       Date:  2013-11-19       Impact factor: 5.923

5.  Comparison of multivariate analysis methods for extracting the paraffin component from the paraffin-embedded cancer tissue spectra for Raman imaging.

Authors:  Phiranuphon Meksiarun; Mika Ishigaki; Verena A C Huck-Pezzei; Christian W Huck; Kanet Wongravee; Hidetoshi Sato; Yukihiro Ozaki
Journal:  Sci Rep       Date:  2017-03-22       Impact factor: 4.379

6.  Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer.

Authors:  Ragini Kothari; Veronica Jones; Dominique Mena; Viviana Bermúdez Reyes; Youkang Shon; Jennifer P Smith; Daniel Schmolze; Philip D Cha; Lily Lai; Yuman Fong; Michael C Storrie-Lombardi
Journal:  Sci Rep       Date:  2021-03-22       Impact factor: 4.379

Review 7.  Application and Progress of Raman Spectroscopy in Male Reproductive System.

Authors:  Feng Zhang; Yiling Tan; Jinli Ding; Dishuang Cao; Yanan Gong; Yan Zhang; Jing Yang; Tailang Yin
Journal:  Front Cell Dev Biol       Date:  2022-01-12

8.  Assessment of tumor cells in a mouse model of diffuse infiltrative glioma by Raman spectroscopy.

Authors:  Kuniaki Tanahashi; Atsushi Natsume; Fumiharu Ohka; Hiroyuki Momota; Akira Kato; Kazuya Motomura; Naoki Watabe; Shuichi Muraishi; Hitoshi Nakahara; Yahachi Saito; Ichiro Takeuchi; Toshihiko Wakabayashi
Journal:  Biomed Res Int       Date:  2014-08-27       Impact factor: 3.411

Review 9.  Application of Raman spectroscopy in Andrology: non-invasive analysis of tissue and single cell.

Authors:  Yufei Liu; Yong Zhu; Zheng Li
Journal:  Transl Androl Urol       Date:  2014-03
  9 in total

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