Spectral histopathology of colon cancer tissue sections by Raman imaging with 532 nm excitation provides label free annotation of lymphocytes, erythrocytes and proliferating nuclei of cancer cells

Mavarani, Laven; Petersen, Dennis R.; El-Mashtoly, Samir F.; Mosig, Axel; Tannapfel, Andrea; Kötting, Carsten; Gerwert, Klaus

doi:10.1039/c3an00370a

Cited by 51 publications

(44 citation statements)

References 24 publications

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“…[5][6][7] Raman spectroscopy, in particular, is additionally attractive as a potential diagnostic tool that can effectively provide information concerning the structures and chemical compositions of biological materials at a molecular level. 1,[9][10][11][12] However, due to the weak Raman signal, some of these detections require a very long time for spectral integration. 1,[9][10][11][12] However, due to the weak Raman signal, some of these detections require a very long time for spectral integration.…”

Section: Introductionmentioning

confidence: 99%

Label-free detection of serum proteins using surface-enhanced Raman spectroscopy for colorectal cancer screening

Wang

Lin

et al. 2014

J. Biomed. Opt

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Surface-enhanced Raman scattering (SERS) spectra of serum proteins purified from human serum samples were employed to detect colorectal cancer. Acetic acid as a new aggregating agent was introduced to increase the magnitude of the SERS enhancement. High-quality SERS spectra of serum proteins were acquired from 103 cancer patients and 103 healthy volunteers. Tentative assignments of SERS bands reflect that some specific biomolecular contents and protein secondary structures change with colorectal cancer progression. Principal component analysis combined with linear discriminant analysis was used to assess the capability of this approach for identifying colorectal cancer, yielding diagnostic accuracies of 100% (sensitivity: 100%; specificity: 100%) based on albumin SERS spectroscopy and 99.5% (sensitivity: 100%; specificity: 99%) based on globulin SERS spectroscopy, respectively. A partial least squares (PLS) approach was introduced to develop diagnostic models. An albumin PLS model successfully predicted the unidentified subjects with a diagnostic accuracy of 93.5% (sensitivity: 95.6%; specificity: 91.3%) and the globulin PLS model gave a diagnostic accuracy of 93.5% (sensitivity: 91.3%; specificity: 95.6%). These results suggest that serum protein SERS spectroscopy can be a sensitive and clinically powerful means for colorectal cancer detection.

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Section: Introductionmentioning

confidence: 99%

Label-free detection of serum proteins using surface-enhanced Raman spectroscopy for colorectal cancer screening

Wang

Lin

et al. 2014

J. Biomed. Opt

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“…A study by Mavarani et al . (2013) evaluated the use of a 532 nm laser excitation source to identify more intricate structures within fixed colon sections, namely lymphocytes and erythrocytes. Again, this study was primarily focused around the characterization of cancerous colon tissue without full‐length normal crypt analysis.…”

mentioning

confidence: 99%

Label‐free Raman spectroscopic imaging to extract morphological and chemical information from a formalin‐fixed, paraffin‐embedded rat colon tissue section

Gaifulina

Maher

Kendall

et al. 2016

Int J Experimental Path

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SummaryAnimal models and archived human biobank tissues are useful resources for research in disease development, diagnostics and therapeutics. For the preservation of microscopic anatomical features and to facilitate long‐term storage, a majority of tissue samples are denatured by the chemical treatments required for fixation, paraffin embedding and subsequent deparaffinization. These aggressive chemical processes are thought to modify the biochemical composition of the sample and potentially compromise reliable spectroscopic examination useful for the diagnosis or biomarking. As a result, spectroscopy is often conducted on fresh/frozen samples. In this study, we provide an extensive characterization of the biochemical signals remaining in processed samples (formalin fixation and paraffin embedding, FFPE) and especially those originating from the anatomical layers of a healthy rat colon. The application of chemometric analytical methods (unsupervised and supervised) was shown to eliminate the need for tissue staining and easily revealed microscopic features consistent with goblet cells and the dense populations of cells within the mucosa, principally via strong nucleic acid signals. We were also able to identify the collagenous submucosa‐ and serosa‐ as well as the muscle‐associated signals from the muscular regions and blood vessels. Applying linear regression analysis to the data, we were able to corroborate this initial assignment of cell and tissue types by confirming the biological origin of each layer by reference to a subset of authentic biomolecular standards. Our results demonstrate the potential of using label‐free Raman microspectroscopy to obtain superior imaging contrast in FFPE sections when compared directly to conventional haematoxylin and eosin (H&E) staining.

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“…In this regard, optical methods have the potential to noninvasively identify and monitor neoplastic changes in skin tissue using One of the convenient methods for non-invasive analysis of tumors is Raman spectroscopy (RS) 2 . The applicability of this method for cancer analysis has been demonstrated in in vivo and ex vivo studies of skin 3 , lung 4 , breast 5 , colon 6 , etc. The accuracy of the RS method in malignant melanoma diagnosis may exceed 85% 7 .…”

Section: Introductionmentioning

confidence: 97%

Combined Raman spectroscopy and autofluoresence imaging method forin vivoskin tumor diagnosis

Zakharov

Bratchenko

Myakinin

et al. 2014

Ultrafast Nonlinear Imaging and Spectroscopy II

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The fluorescence and Raman spectroscopy (RS) combined method of in vivo detection of malignant human skin cancer was demonstrated. The fluorescence analysis was used for detection of abnormalities during fast scanning of large tissue areas. In suspected cases of malignancy the Raman spectrum analysis of biological tissue was performed to determine the type of neoplasm. A special RS phase method was proposed for in vivo identification of skin tumor. Quadratic Discriminant Analysis was used for tumor type classification on phase planes. It was shown that the application of phase method provides a diagnosis of malignant melanoma with a sensitivity of 89% and a specificity of 87%.

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Spectral histopathology of colon cancer tissue sections by Raman imaging with 532 nm excitation provides label free annotation of lymphocytes, erythrocytes and proliferating nuclei of cancer cells

Cited by 51 publications

References 24 publications

Label-free detection of serum proteins using surface-enhanced Raman spectroscopy for colorectal cancer screening

Label-free detection of serum proteins using surface-enhanced Raman spectroscopy for colorectal cancer screening

Label‐free Raman spectroscopic imaging to extract morphological and chemical information from a formalin‐fixed, paraffin‐embedded rat colon tissue section

Combined Raman spectroscopy and autofluoresence imaging method forin vivoskin tumor diagnosis

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