Detection of benign epithelia, prostatic intraepithelial neoplasia, and cancer regions in radical prostatectomy tissues using Raman spectroscopy

Devpura, Suneetha; Thakur, J. S.; Sarkar, Fazlul H.; Sakr, Wael; Naik, V. M.; Naik, R.

doi:10.1016/j.vibspec.2010.03.009

Cited by 29 publications

(38 citation statements)

References 21 publications

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“…In another study, Raman spectroscopy measurements also showed differences between benign and malignant bladder tissues . There have been numerous studies on breast and prostate cancers. Kumar et al .…”

Section: Introductionmentioning

confidence: 84%

Diagnosis of head and neck squamous cell carcinoma using Raman spectroscopy: tongue tissues

Devpura

Thakur

Sethi

et al. 2011

J Raman Spectroscopy

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Raman spectroscopy is a powerful optical technique capable of providing the structural information at the molecular level. Thus, the technique can be used to detect biochemical changes associated with carcinogenesis and identify the biomolecules involved in cancer. We studied the Raman spectral characteristics of normal, carcinoma in situ, and invasive squamous cell carcinoma (SCC) tissues of tongue, and identified the spectral features that can discriminate these three tissue types. We found that the intensities of Raman bands assignable to tryptophan increase while those attributable to protein keratin decrease when tissue changes from normal to invasive SCC. The variation observed in the intensity of many discriminating peaks including those of tryptophan and keratin as tissue changes from normal to carcinoma in situ and then to invasive SCC suggests that Raman spectroscopy can be used to monitor progression of the disease. We have also analyzed the data with multivariate statistical methods such as principal component analysis and discriminant function analysis. These chemometric methods clearly separate the whole data into three distinct groups consistent with results of pathology. We were able to detect with 91% success rate the normal and carcinoma in situ tissues and with 89% accuracy the invasive SCC tissues of the tongue. Copyright © 2011 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 84%

Diagnosis of head and neck squamous cell carcinoma using Raman spectroscopy: tongue tissues

Devpura

Thakur

Sethi

et al. 2011

J Raman Spectroscopy

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“…It is based on the principle of inelastic scattering of photons by molecular vibrations. A small fraction of photons is scattered by interaction with vibrating chemical bonds, resulting in a shift towards lower and higher frequencies [12,13]. The energy differences between incident and scattered photons correspond to specific vibrational energies of the chemical bonds of the molecules.…”

Section: Introductionmentioning

confidence: 99%

Different Phases of Breast Cancer Cells: Raman Study of Immortalized, Transformed, and Invasive Cells

Chaturvedi

Balaji

et al. 2016

Biosensors

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Breast cancer is the most prevalent cause of cancer-associated death in women the world over, but if detected early it can be treated successfully. Therefore, it is important to diagnose this disease at an early stage and to understand the biochemical changes associated with cellular transformation and cancer progression. Deregulated lipid metabolism has been shown to contribute to cell transformation as well as cancer progression. In this study, we monitored the biomolecular changes associated with the transformation of a normal cell into an invasive cell associated with breast cancer using Raman microspectroscopy. We have utilized primary normal breast cells, and immortalized, transformed, non-invasive, and invasive breast cancer cells. The Raman spectra were acquired from all these cell lines under physiological conditions. The higher wavenumber (2800–3000 cm−1) and lower wavenumber (700–1800 cm−1) range of the Raman spectrum were analyzed and we observed increased lipid levels for invasive cells. The Raman spectral data were analyzed by principal component–linear discriminant analysis (PC-LDA), which resulted in the formation of distinct clusters for different cell types with a high degree of sensitivity. The subsequent testing of the PC-LDA analysis via the leave-one-out cross validation approach (LOOCV) yielded relatively high identification sensitivity. Additionally, the Raman spectroscopic results were confirmed through fluorescence staining tests with BODIPY and Nile Red biochemical assays. Furthermore, Raman maps from the above mentioned cells under fixed conditions were also acquired to visualize the distribution of biomolecules throughout the cell. The present study shows the suitability of Raman spectroscopy as a non-invasive, label-free, microspectroscopic technique, having the potential of probing changes in the biomolecular composition of living cells as well as fixed cells.

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“…Sensitivity of differentiating cancer grades, Gleason score 7, less than 7, and greater than 7 are more than 81%. In another study, prostate cancer was identified with 94% accuracy compared to benign and prostate intraepithelial neoplasia (Devpura, 2010). In addition, Gleason score 6, 7, and 8 were distinguished with more than 81%.…”

Section: Introductionmentioning

confidence: 94%

“…The H&E stained slides were reviewed by three experienced pathologists and none of the cases studied here found to be in dispute. The paraffin wax was removed from the 10 μm thick tissue sections using xylene and ethanol baths following the procedures described in Devpura, 2010 and. It is noted that the incomplete removal wax residues gives rise to strong and sharp Raman bands that interfere with the Raman bands of the tissue samples at 1063, 1130, 1296, 1436, and 1465 cm -1 (Ó Faoláin, 2005).…”

Section: Preparation Of Tissues For Raman Spectroscopymentioning

confidence: 99%

“…Currently, the potential of this technique are being tested to detect different types of cancers: breast, prostate, bladder, cervix, skin, larynx, head and neck squamous cell carcinoma, etc. and determine their unique spectra features , Keller, 2006, Devpura, 2010. Raman spectroscopy is able to identify prostate cancer from benign with 89% accuracy in snap frozen biopsies in vitro .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Diagnosis of Prostatic Intraepithelial Neoplasia in Luminal Cells Using Raman Spectroscopy

Devpura¹,

Thakur²,

Sethi³

et al. 2012

Intraepithelial Neoplasia

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Detection of benign epithelia, prostatic intraepithelial neoplasia, and cancer regions in radical prostatectomy tissues using Raman spectroscopy

Cited by 29 publications

References 21 publications

Diagnosis of head and neck squamous cell carcinoma using Raman spectroscopy: tongue tissues

Diagnosis of head and neck squamous cell carcinoma using Raman spectroscopy: tongue tissues

Different Phases of Breast Cancer Cells: Raman Study of Immortalized, Transformed, and Invasive Cells

Diagnosis of Prostatic Intraepithelial Neoplasia in Luminal Cells Using Raman Spectroscopy

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