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Chen W, Chen Y, Wu C, Zhang X, Huang X. The accuracy of Fiber-Optic Raman Spectroscopy in the detection and diagnosis of head and neck neoplasm in vivo: a systematic review and meta-analysis. PeerJ 2023; 11:e16536. [PMID: 38099303 PMCID: PMC10720414 DOI: 10.7717/peerj.16536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/07/2023] [Indexed: 12/17/2023] Open
Abstract
Purpose The aim of this article was to review and collectively assess the published studies of fiber-optic Raman spectroscopy (RS) of the in vivo detection and diagnosis of head and neck carcinomas, and to derive a consensus average of the accuracy, sensitivity and specificity. Methods The authors searched four databases, including Ovid-Medline, Ovid-Embase, Cochrane Library, and the China National Knowledge Infrastructure (CNKI), up to February 2023 for all published studies that assessed the diagnostic accuracy of fiber-optic RS in the in vivo detection of head and neck carcinomas. Nonqualifying studies were screened out in accordance with the specified exclusion criteria, and relevant information about the diagnostic performance of fiber-optic RS was excluded. Publication bias was estimated by Deeks' funnel plot asymmetry test. A random effects model was adopted to calculate the pooled sensitivity, specificity and diagnostic odds ratio (DOR). Additionally, the authors conducted a summary receiver operating characteristic (SROC) curve analysis and threshold analysis, reporting the area under the curve (AUC) to evaluate the overall performance of fiber-optic RS in vivo. Results Ten studies (including 16 groups of data) were included in this article, and a total of 5365 in vivo Raman spectra (cancer = 1,746; normal = 3,619) were acquired from 877 patients. The pooled sensitivity and specificity of fiber-optic RS of head and neck carcinomas were 0.88 and 0.94, respectively. SROC curves were generated to estimate the overall diagnostic accuracy, and the AUC was 0.96 (95% CI [0.94-0.97]). No significant publication bias was found in this meta-analysis by Deeks' funnel plot asymmetry test. The heterogeneity of these studies was significant; the Q test values of the sensitivity and specificity were 106.23 (P = 0.00) and 64.21 (P = 0.00), respectively, and the I2 index of the sensitivity and specificity were 85.88 (95% CI [79.99-91.77]) and 76.64 (95% CI [65.45-87.83]), respectively. Conclusion Fiber-optic RS was demonstrated to be a reliable technique for the in vivo detection of head and neck carcinoma with high accuracy. However, considering the high heterogeneity of these studies, more clinical studies are needed to reduce the heterogeneity, and further confirm the utility of fiber-optic Raman spectroscopy in vivo.
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Affiliation(s)
- Wen Chen
- Department of Stomatology and Immunology Research Center for Oral and Systemic Health, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yafei Chen
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Chenzhou Wu
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Head and Neck Oncology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Xidong Zhang
- Department of Pharmacy, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiaofeng Huang
- Department of Stomatology and Immunology Research Center for Oral and Systemic Health, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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Faur CI, Dinu C, Toma V, Jurj A, Mărginean R, Onaciu A, Roman RC, Culic C, Chirilă M, Rotar H, Fălămaș A, Știufiuc GF, Hedeșiu M, Almășan O, Știufiuc RI. A New Detection Method of Oral and Oropharyngeal Squamous Cell Carcinoma Based on Multivariate Analysis of Surface Enhanced Raman Spectra of Salivary Exosomes. J Pers Med 2023; 13:jpm13050762. [PMID: 37240933 DOI: 10.3390/jpm13050762] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/23/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
Raman spectroscopy recently proved a tremendous capacity to identify disease-specific markers in various (bio)samples being a non-invasive, rapid, and reliable method for cancer detection. In this study, we first aimed to record vibrational spectra of salivary exosomes isolated from oral and oropharyngeal squamous cell carcinoma patients and healthy controls using surface enhancement Raman spectroscopy (SERS). Then, we assessed this method's capacity to discriminate between malignant and non-malignant samples by means of principal component-linear discriminant analysis (PC-LDA) and we used area under the receiver operating characteristics with illustration as the area under the curve to measure the power of salivary exosomes SERS spectra analysis to identify cancer presence. The vibrational spectra were collected on a solid plasmonic substrate developed in our group, synthesized using tangential flow filtered and concentrated silver nanoparticles, capable of generating very reproducible spectra for a whole range of bioanalytes. SERS examination identified interesting variations in the vibrational bands assigned to thiocyanate, proteins, and nucleic acids between the saliva of cancer and control groups. Chemometric analysis indicated discrimination sensitivity between the two groups up to 79.3%. The sensitivity is influenced by the spectral interval used for the multivariate analysis, being lower (75.9%) when the full-range spectra were used.
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Affiliation(s)
- Cosmin Ioan Faur
- Department of Oral Radiology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Cristian Dinu
- Department of Maxillofacial Surgery and Implantology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Valentin Toma
- MedFuture-Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Anca Jurj
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Radu Mărginean
- MedFuture-Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Anca Onaciu
- MedFuture-Research Center for Advanced Medicine, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Rareș Călin Roman
- Department of Oral and Craniomaxillofacial Surgery, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Carina Culic
- Department of Odontology, Endodontics, Oral Pathology, Faculty of Dentistry, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Magdalena Chirilă
- Department of Otorhinolaryngology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Horațiu Rotar
- Department of Oral and Craniomaxillofacial Surgery, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Alexandra Fălămaș
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 400293 Cluj-Napoca, Romania
| | | | - Mihaela Hedeșiu
- Department of Oral Radiology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Oana Almășan
- Department of Prosthodontics and Dental Materials, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Rares Ionuț Știufiuc
- Department of Maxillofacial Surgery and Implantology, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
- Department of Pharmaceutical Physics & Biophysics, Faculty of Pharmacy, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
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3
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Saha P, Sawant S, Deshmukh A, Hole A, Murali Krishna C. Serum Raman spectroscopy: Prognostic applications in oral cancers. Head Neck 2023; 45:1244-1254. [PMID: 36919570 DOI: 10.1002/hed.27338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 01/30/2023] [Accepted: 02/22/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Loco-regional recurrences attributable to field cancerization and minimal residual cancer, remain prime causes of mortality in oral cancer (OC) subjects. The current study evaluates potential of serum Raman spectroscopy (SRS) to identify recurrence-prone OC subjects. METHODS Raman spectra of serum from eight healthy subjects (H) and 57 OC subjects (with-recurrence [R], without-recurrence [NR], and with suspicious-lesions [S]), before (BS) and after (AS) surgical excision of tumor were recorded. OC subjects were followed-up for 7-years. RESULTS DNA and protein alterations were observed in AS sera of all groups. 4-, 3-, and 2-model multivariate analyses were used to stratify BS and AS groups. H spectra were 100% distinguishable from all other groups. AS, R and NR were distinguished with high accuracy (84%) in all models. No stratification (~50%) was observed BS. CONCLUSION SRS shows potential to identify recurrence prone subjects, post-surgery, using serum collected as early as 1 week after surgery.
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Affiliation(s)
- Panchali Saha
- Tata Memorial Centre, Advanced Centre for Treatment, Education and Research in Cancer, Navi Mumbai, Maharashtra, India.,Training School Complex, Homi Bhabha National Institute, Anushakti Nagar, Maharashtra, India
| | - Sharada Sawant
- Tata Memorial Centre, Advanced Centre for Treatment, Education and Research in Cancer, Navi Mumbai, Maharashtra, India
| | - Atul Deshmukh
- Centre for Interdisciplinary Research, D.Y. Patil University, Navi Mumbai, Maharashtra, India
| | - Arti Hole
- Tata Memorial Centre, Advanced Centre for Treatment, Education and Research in Cancer, Navi Mumbai, Maharashtra, India
| | - C Murali Krishna
- Tata Memorial Centre, Advanced Centre for Treatment, Education and Research in Cancer, Navi Mumbai, Maharashtra, India.,Training School Complex, Homi Bhabha National Institute, Anushakti Nagar, Maharashtra, India
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4
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Faur C, Falamas A, Chirila M, Roman R, Rotaru H, Moldovan M, Albu S, Baciut M, Robu I, Hedesiu M. Raman spectroscopy in oral cavity and oropharyngeal cancer: a systematic review. Int J Oral Maxillofac Surg 2022; 51:1373-1381. [DOI: 10.1016/j.ijom.2022.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 02/22/2022] [Accepted: 02/25/2022] [Indexed: 12/24/2022]
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Behl I, Calado G, Vishwakarma A, Traynor D, Flint S, Galvin S, Healy CM, Pimentel ML, Malkin A, Byrne HJ, Lyng FM. Classification of cytological samples from oral potentially malignant lesions through Raman spectroscopy: A pilot study. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 266:120437. [PMID: 34627019 DOI: 10.1016/j.saa.2021.120437] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 08/25/2021] [Accepted: 09/22/2021] [Indexed: 06/13/2023]
Abstract
The potential of Raman microspectroscopy of exfoliated cells has been demonstrated for oral cancer diagnosis. In this study, brush biopsies were collected from the buccal mucosa/tongue of healthy donors (n = 31) and from oral mucosal dysplastic lesions (n = 31 patients). Raman spectra were acquired and subjected to partial least squares-discriminant analysis (PLS-DA). The patient samples could be differentiated from healthy donor samples with 96% sensitivity and 95% specificity. Furthermore, PLS-DA models were developed based on cytopathological and histopathological assessment. Low and high grade dysplasia could be discriminated with 64% sensitivity and 65% specificity based on cytopathological assessment, while 81% sensitivity and 86% specificity could be achieved when histopathological assessment was within six months of the brush biopsy sampling. Therefore, this explorative study has successfully demonstrated that Raman spectroscopy may have a role in monitoring patients with dysplasia and may reduce the need for multiple biopsies.
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Affiliation(s)
- Isha Behl
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, City Campus, Dublin, Ireland; School of Physics & Clinical & Optometric Sciences, Technological University Dublin, City Campus, Dublin, Ireland.
| | - Genecy Calado
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, City Campus, Dublin, Ireland; School of Physics & Clinical & Optometric Sciences, Technological University Dublin, City Campus, Dublin, Ireland
| | - Anika Vishwakarma
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, City Campus, Dublin, Ireland; School of Physics & Clinical & Optometric Sciences, Technological University Dublin, City Campus, Dublin, Ireland
| | - Damien Traynor
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, City Campus, Dublin, Ireland; School of Physics & Clinical & Optometric Sciences, Technological University Dublin, City Campus, Dublin, Ireland
| | - Stephen Flint
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Ireland
| | - Sheila Galvin
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Ireland
| | - Claire M Healy
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Ireland
| | - Marina Leite Pimentel
- Division of Restorative Dentistry and Periodontology, Dublin Dental University Hospital, Trinity College Dublin, Dublin, Ireland
| | - Alison Malkin
- School of Biological and Health Sciences, Technological University Dublin, City Campus, Dublin, Ireland
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, City Campus, Dublin, Ireland
| | - Fiona M Lyng
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, City Campus, Dublin, Ireland; School of Physics & Clinical & Optometric Sciences, Technological University Dublin, City Campus, Dublin, Ireland
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6
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Mishra SK, Hole A, Reddy BPK, Srivastava R, Chilakapati MK, De A. Raman micro-spectroscopic map estimating in vivo precision of tumor ablative effect achieved by photothermal therapy procedure. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2021; 37:102437. [PMID: 34273597 DOI: 10.1016/j.nano.2021.102437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 05/04/2021] [Accepted: 06/16/2021] [Indexed: 11/16/2022]
Abstract
Photothermal-therapy (PTT) inculcates near-infrared laser guided local heating effect, where high degree of precision is expected, but not well proven to-date. An ex vivo tissue biochemical map with molecular/biochemical response showing the coverage area out of an optimized PTT procedure can reveal precision information. In this work, Raman-microscopic mapping and linear discriminant analysis of spectra of PTT treated and surrounding tissue areas ex vivo are done, revealing three distinct spectral clusters/zones, with minimal overlap between the core treated and adjacent untreated zone. The core treated zone showed intense nucleic-acid, cytochrome/mitochondria and protein damage, an adjacent zone showed lesser degree of damages and far zone showed minimal/no damage. Immunohistochemistry for γH2AX (DNA damage marker protein) in PTT exposed tissue also revealed similar results. Altogether, this study reveals the utility of Raman-microspectroscopy for fine-tuning safety parameters and precision that can be achieved from PTT mediated tumor ablation in preclinical/clinical application.
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Affiliation(s)
- Sumit K Mishra
- Molecular Functional Imaging Lab, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, India; Department of Life Sciences, Homi Bhaba National Institute, Mumbai, India.
| | - Arti Hole
- Chilakapati Laboratory, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, India.
| | - B Pradeep K Reddy
- NanoBios Lab, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.
| | - Rohit Srivastava
- NanoBios Lab, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, India.
| | - Murali Krishna Chilakapati
- Chilakapati Laboratory, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, India; Department of Life Sciences, Homi Bhaba National Institute, Mumbai, India.
| | - Abhijit De
- Molecular Functional Imaging Lab, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, India; Department of Life Sciences, Homi Bhaba National Institute, Mumbai, India.
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7
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Byrne HJ, Behl I, Calado G, Ibrahim O, Toner M, Galvin S, Healy CM, Flint S, Lyng FM. Biomedical applications of vibrational spectroscopy: Oral cancer diagnostics. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 252:119470. [PMID: 33503511 DOI: 10.1016/j.saa.2021.119470] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 01/09/2021] [Accepted: 01/10/2021] [Indexed: 06/12/2023]
Abstract
Vibrational spectroscopy, based on either infrared absorption or Raman scattering, has attracted increasing attention for biomedical applications. Proof of concept explorations for diagnosis of oral potentially malignant disorders and cancer are reviewed, and recent advances critically appraised. Specific examples of applications of Raman microspectroscopy for analysis of histological, cytological and saliva samples are presented for illustrative purposes, and the future prospects, ultimately for routine, chairside in vivo screening are discussed.
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Affiliation(s)
- Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, City Campus, Dublin 8, Ireland.
| | - Isha Behl
- School of Physics and Clinical and Optometric Sciences, Technological University Dublin, City Campus, Dublin 8, Ireland; Radiation and Environmental Science Centre, FOCAS Research Institute, Technological University Dublin, City Campus, Dublin 8, Ireland
| | - Genecy Calado
- School of Physics and Clinical and Optometric Sciences, Technological University Dublin, City Campus, Dublin 8, Ireland; Radiation and Environmental Science Centre, FOCAS Research Institute, Technological University Dublin, City Campus, Dublin 8, Ireland
| | - Ola Ibrahim
- School of Dental Science, Trinity College Dublin, Lincoln Place, Dublin 2, Ireland
| | - Mary Toner
- Central Pathology Laboratory, St. James Hospital, James Street, Dublin 8, Ireland
| | - Sheila Galvin
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Lincoln Place, Dublin 2, Ireland
| | - Claire M Healy
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Lincoln Place, Dublin 2, Ireland
| | - Stephen Flint
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Lincoln Place, Dublin 2, Ireland
| | - Fiona M Lyng
- School of Physics and Clinical and Optometric Sciences, Technological University Dublin, City Campus, Dublin 8, Ireland; Radiation and Environmental Science Centre, FOCAS Research Institute, Technological University Dublin, City Campus, Dublin 8, Ireland
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8
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Kothari R, Jones V, Mena D, Bermúdez Reyes V, Shon Y, Smith JP, Schmolze D, Cha PD, Lai L, Fong Y, Storrie-Lombardi MC. Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer. Sci Rep 2021; 11:6482. [PMID: 33753760 PMCID: PMC7985361 DOI: 10.1038/s41598-021-85758-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 03/03/2021] [Indexed: 01/31/2023] Open
Abstract
This study addresses the core issue facing a surgical team during breast cancer surgery: quantitative prediction of tumor likelihood including estimates of prediction error. We have previously reported that a molecular probe, Laser Raman spectroscopy (LRS), can distinguish healthy and tumor tissue. We now report that combining LRS with two machine learning algorithms, unsupervised k-means and stochastic nonlinear neural networks (NN), provides rapid, quantitative, probabilistic tumor assessment with real-time error analysis. NNs were first trained on Raman spectra using human expert histopathology diagnostics as gold standard (74 spectra, 5 patients). K-means predictions using spectral data when compared to histopathology produced clustering models with 93.2-94.6% accuracy, 89.8-91.8% sensitivity, and 100% specificity. NNs trained on k-means predictions generated probabilities of correctness for the autonomous classification. Finally, the autonomous system characterized an extended dataset (203 spectra, 8 patients). Our results show that an increase in DNA|RNA signal intensity in the fingerprint region (600-1800 cm-1) and global loss of high wavenumber signal (2800-3200 cm-1) are particularly sensitive LRS warning signs of tumor. The stochastic nature of NNs made it possible to rapidly generate multiple models of target tissue classification and calculate the inherent error in the probabilistic estimates for each target.
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Affiliation(s)
- Ragini Kothari
- Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Rd, Furth 1116, Duarte, CA, 91010, USA.
- Department of Engineering, Harvey Mudd College, 301 Platt Blvd, Claremont, CA, 91711, USA.
| | - Veronica Jones
- Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Rd, Furth 1116, Duarte, CA, 91010, USA
| | - Dominique Mena
- Department of Engineering, Harvey Mudd College, 301 Platt Blvd, Claremont, CA, 91711, USA
| | - Viviana Bermúdez Reyes
- Department of Engineering, Harvey Mudd College, 301 Platt Blvd, Claremont, CA, 91711, USA
| | - Youkang Shon
- Department of Engineering, Harvey Mudd College, 301 Platt Blvd, Claremont, CA, 91711, USA
| | - Jennifer P Smith
- Department of Physics, Harvey Mudd College, 301 Platt Blvd, Claremont, CA, 91711, USA
| | - Daniel Schmolze
- Department of Pathology, City of Hope, 1500 E. Duarte Rd, Duarte, CA, 91010, USA
| | - Philip D Cha
- Department of Engineering, Harvey Mudd College, 301 Platt Blvd, Claremont, CA, 91711, USA
| | - Lily Lai
- Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Rd, Furth 1116, Duarte, CA, 91010, USA
| | - Yuman Fong
- Department of Surgery, City of Hope National Medical Center, 1500 E. Duarte Rd, Furth 1116, Duarte, CA, 91010, USA
| | - Michael C Storrie-Lombardi
- Department of Physics, Harvey Mudd College, 301 Platt Blvd, Claremont, CA, 91711, USA
- Kinohi Institute, Inc, Santa Barbara, CA, 93109, USA
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9
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Risk prediction by Raman spectroscopy for disease-free survival in oral cancers. Lasers Med Sci 2021; 36:1691-1700. [PMID: 33661401 DOI: 10.1007/s10103-021-03276-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 02/14/2021] [Indexed: 10/22/2022]
Abstract
In the present study, the potential of Raman spectroscopy (RS) in predicting disease-free survival (DFS) in oral cancer patients has been explored. Raman spectra were obtained from the tumor and contralateral regions of 94 oral squamous cell carcinoma patients. These patients were managed surgically and recommended for adjuvant therapy. The Cox proportional survival analysis was carried out to identify the spectral regions that can be correlated to DFS. The survival analysis was performed with 95% confidence intervals, hazard ratio, and p-values in the 1200-1800 cm-1 spectral region. Out of a total of 182 spectral points, 76 were found to be correlating with DFS, suggesting their utility to predict the patient outcome. The cut-off points of each correlating RS-point values were defined and tested towards predicting the DFS. The performance of predicting the power of spectral points was validated through Brier value, and it was found to be closer to the actual progression. The 76 spectral points identified from the tumors have the potential to accurately predict DFS in oral squamous cell carcinoma through a relatively simplistic prediction model in the absence of confounding factors.
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Daoust F, Nguyen T, Orsini P, Bismuth J, de Denus-Baillargeon MM, Veilleux I, Wetter A, Mckoy P, Dicaire I, Massabki M, Petrecca K, Leblond F. Handheld macroscopic Raman spectroscopy imaging instrument for machine-learning-based molecular tissue margins characterization. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-200306SSR. [PMID: 33580641 PMCID: PMC7880244 DOI: 10.1117/1.jbo.26.2.022911] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 01/19/2021] [Indexed: 05/08/2023]
Abstract
SIGNIFICANCE Raman spectroscopy has been developed for surgical guidance applications interrogating live tissue during tumor resection procedures to detect molecular contrast consistent with cancer pathophysiological changes. To date, the vibrational spectroscopy systems developed for medical applications include single-point measurement probes and intraoperative microscopes. There is a need to develop systems with larger fields of view (FOVs) for rapid intraoperative cancer margin detection during surgery. AIM We design a handheld macroscopic Raman imaging system for in vivo tissue margin characterization and test its performance in a model system. APPROACH The system is made of a sterilizable line scanner employing a coherent fiber bundle for relaying excitation light from a 785-nm laser to the tissue. A second coherent fiber bundle is used for hyperspectral detection of the fingerprint Raman signal over an area of 1 cm2. Machine learning classifiers were trained and validated on porcine adipose and muscle tissue. RESULTS Porcine adipose versus muscle margin detection was validated ex vivo with an accuracy of 99% over the FOV of 95 mm2 in ∼3 min using a support vector machine. CONCLUSIONS This system is the first large FOV Raman imaging system designed to be integrated in the workflow of surgical cancer resection. It will be further improved with the aim of discriminating brain cancer in a clinically acceptable timeframe during glioma surgery.
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Affiliation(s)
- François Daoust
- Polytechnique Montreal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Tien Nguyen
- Polytechnique Montreal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | | | | | | | - Israel Veilleux
- Polytechnique Montreal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | | | | | | | | | - Kevin Petrecca
- McGill University, Montreal Neurological Institute-Hospital, Department of Neurology and Neurosurgery, Montreal, Quebec, Canada
| | - Frédéric Leblond
- Polytechnique Montreal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre Hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Address all correspondence to Frédéric Leblond,
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11
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Hackshaw KV, Miller JS, Aykas DP, Rodriguez-Saona L. Vibrational Spectroscopy for Identification of Metabolites in Biologic Samples. Molecules 2020; 25:E4725. [PMID: 33076318 PMCID: PMC7587585 DOI: 10.3390/molecules25204725] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 09/27/2020] [Accepted: 09/28/2020] [Indexed: 12/16/2022] Open
Abstract
Vibrational spectroscopy (mid-infrared (IR) and Raman) and its fingerprinting capabilities offer rapid, high-throughput, and non-destructive analysis of a wide range of sample types producing a characteristic chemical "fingerprint" with a unique signature profile. Nuclear magnetic resonance (NMR) spectroscopy and an array of mass spectrometry (MS) techniques provide selectivity and specificity for screening metabolites, but demand costly instrumentation, complex sample pretreatment, are labor-intensive, require well-trained technicians to operate the instrumentation, and are less amenable for implementation in clinics. The potential for vibration spectroscopy techniques to be brought to the bedside gives hope for huge cost savings and potential revolutionary advances in diagnostics in the clinic. We discuss the utilization of current vibrational spectroscopy methodologies on biologic samples as an avenue towards rapid cost saving diagnostics.
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Affiliation(s)
- Kevin V. Hackshaw
- Department of Internal Medicine, Division of Rheumatology, Dell Medical School, The University of Texas, 1601 Trinity St, Austin, TX 78712, USA
| | - Joseph S. Miller
- Department of Medicine, Ohio University Heritage College of Osteopathic Medicine, Dublin, OH 43016, USA;
| | - Didem P. Aykas
- Department of Food Science and Technology, Ohio State University, Columbus, OH 43210, USA; (D.P.A.); (L.R.-S.)
- Department of Food Engineering, Faculty of Engineering, Adnan Menderes University, Aydin 09100, Turkey
| | - Luis Rodriguez-Saona
- Department of Food Science and Technology, Ohio State University, Columbus, OH 43210, USA; (D.P.A.); (L.R.-S.)
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12
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Picot F, Daoust F, Sheehy G, Dallaire F, Chaikho L, Bégin T, Kadoury S, Leblond F. Data consistency and classification model transferability across biomedical Raman spectroscopy systems. TRANSLATIONAL BIOPHOTONICS 2020. [DOI: 10.1002/tbio.202000019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Affiliation(s)
- Fabien Picot
- Department of Engineering Physics Polytechnique Montréal, 2500 chemin de Polytechnique Montreal Quebec Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal Montreal Quebec Canada
| | - François Daoust
- Department of Engineering Physics Polytechnique Montréal, 2500 chemin de Polytechnique Montreal Quebec Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal Montreal Quebec Canada
| | - Guillaume Sheehy
- Department of Engineering Physics Polytechnique Montréal, 2500 chemin de Polytechnique Montreal Quebec Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal Montreal Quebec Canada
| | - Frédérick Dallaire
- Centre de recherche du Centre Hospitalier de l'Université de Montréal Montreal Quebec Canada
| | - Layal Chaikho
- Department of Engineering Physics Polytechnique Montréal, 2500 chemin de Polytechnique Montreal Quebec Canada
| | - Théophile Bégin
- Department of Engineering Physics Polytechnique Montréal, 2500 chemin de Polytechnique Montreal Quebec Canada
| | - Samuel Kadoury
- Department of Engineering Physics Polytechnique Montréal, 2500 chemin de Polytechnique Montreal Quebec Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal Montreal Quebec Canada
| | - Frédéric Leblond
- Department of Engineering Physics Polytechnique Montréal, 2500 chemin de Polytechnique Montreal Quebec Canada
- Centre de recherche du Centre Hospitalier de l'Université de Montréal Montreal Quebec Canada
- Institut du Cancer de Montréal Montreal Quebec Canada
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13
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Behl I, Calado G, Vishwakarma A, Flint S, Galvin S, Healy CM, Leite Pimentel M, Malkin A, Byrne HJ, Lyng FM. Raman microspectroscopic study for the detection of oral field cancerisation using brush biopsy samples. JOURNAL OF BIOPHOTONICS 2020; 13:e202000131. [PMID: 32602241 DOI: 10.1002/jbio.202000131] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/30/2020] [Accepted: 06/10/2020] [Indexed: 06/11/2023]
Abstract
Field cancerisation (FC) is potentially an underlying cause of poor treatment outcomes of oral squamous cell carcinoma (OSCC). To explore the phenomenon using Raman microspectroscopy, brush biopsies from the buccal mucosa, tongue, gingiva and alveolus of healthy donors (n = 40) and from potentially malignant lesions (PML) of Dysplasia Clinic patients (n = 40) were examined. Contralateral normal samples (n = 38) were also collected from the patients. Raman spectra were acquired from the nucleus and cytoplasm of each cell, and subjected to partial least squares-discriminant analysis (PLS-DA). High discriminatory accuracy for donor and PML samples was achieved for both cytopalmic and nuclear data sets. Notably, contralateral normal (patient) samples were also accurately discriminated from donor samples and contralateral normal samples from patients with multiple lesions showed a similar spectral profile to PML samples, strongly indicating a FC effect. These findings support the potential of Raman microspectroscopy as a screening tool for PML using oral exfoliated cells.
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Affiliation(s)
- Isha Behl
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, Dublin, Ireland
- School of Physics, Technological University Dublin, Dublin, Ireland
| | - Genecy Calado
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, Dublin, Ireland
- School of Physics, Technological University Dublin, Dublin, Ireland
| | - Anika Vishwakarma
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, Dublin, Ireland
- School of Physics, Technological University Dublin, Dublin, Ireland
| | - Stephen Flint
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Dublin, Ireland
| | - Sheila Galvin
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Dublin, Ireland
| | - Claire M Healy
- Oral Medicine Unit, Dublin Dental University Hospital, Trinity College Dublin, Dublin, Ireland
| | - Marina Leite Pimentel
- Division of Restorative Dentistry and Periodontology, Dublin Dental University Hospital, Trinity College Dublin, Dublin, Ireland
| | - Alison Malkin
- School of Biological Sciences, Technological University Dublin, Dublin, Ireland
| | - Hugh J Byrne
- FOCAS Research Institute, Technological University Dublin, Dublin, Ireland
| | - Fiona M Lyng
- Centre for Radiation and Environmental Science, FOCAS Research Institute, Technological University Dublin, Dublin, Ireland
- School of Physics, Technological University Dublin, Dublin, Ireland
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14
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Nie Z, Yeh SCA, LePalud M, Badr F, Tse F, Armstrong D, Liu LWC, Deen MJ, Fang Q. Optical Biopsy of the Upper GI Tract Using Fluorescence Lifetime and Spectra. Front Physiol 2020; 11:339. [PMID: 32477151 PMCID: PMC7237753 DOI: 10.3389/fphys.2020.00339] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 03/24/2020] [Indexed: 12/11/2022] Open
Abstract
Screening and surveillance for gastrointestinal (GI) cancers by endoscope guided biopsy is invasive, time consuming, and has the potential for sampling error. Tissue endogenous fluorescence spectra contain biochemical and physiological information, which may enable real-time, objective diagnosis. We first briefly reviewed optical biopsy modalities for GI cancer diagnosis with a focus on fluorescence-based techniques. In an ex vivo pilot clinical study, we measured fluorescence spectra and lifetime on fresh biopsy specimens obtained during routine upper GI screening procedures. Our results demonstrated the feasibility of rapid acquisition of time-resolved fluorescence (TRF) spectra from fresh GI mucosal specimens. We also identified spectroscopic signatures that can differentiate between normal mucosal samples obtained from the esophagus, stomach, and duodenum.
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Affiliation(s)
- Zhaojun Nie
- School of Biomedical Engineering, Faculty of Engineering, McMaster University, Hamilton, ON, Canada
| | - Shu-Chi Allison Yeh
- Advanced Microscopy Program, Center for Systems Biology and Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Michelle LePalud
- School of Biomedical Engineering, Faculty of Engineering, McMaster University, Hamilton, ON, Canada
| | - Fares Badr
- School of Biomedical Engineering, Faculty of Engineering, McMaster University, Hamilton, ON, Canada
| | - Frances Tse
- Division of Gastroenterology and Farncombe Family Digestive Health Research Institute, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - David Armstrong
- Division of Gastroenterology and Farncombe Family Digestive Health Research Institute, Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Louis W. C. Liu
- Division of Gastrointestinal Diseases, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - M. Jamal Deen
- School of Biomedical Engineering, Faculty of Engineering, McMaster University, Hamilton, ON, Canada
- Department of Electrical and Computer Engineering, Faculty of Engineering, McMaster University, Hamilton, ON, Canada
| | - Qiyin Fang
- School of Biomedical Engineering, Faculty of Engineering, McMaster University, Hamilton, ON, Canada
- Department of Engineering Physics, Faculty of Engineering, McMaster University, Hamilton, ON, Canada
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15
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Can ethanol affect the cell structure? A dynamic molecular and Raman spectroscopy study. Photodiagnosis Photodyn Ther 2020; 30:101675. [PMID: 31991233 DOI: 10.1016/j.pdpdt.2020.101675] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 12/27/2019] [Accepted: 01/24/2020] [Indexed: 11/24/2022]
Abstract
The role that tobacco consumption plays in the etiology of oral cancer carcinogenesis, and of alcohol consumption acting as a co-factor, have been well established. However, in recent years, the contribution of alcohol consumption alone to oral cancer has been proposed. In fact, a high percentage of patients who develop oral cancer have both habits (tobacco and alcohol consumption), and other small patient groups only consume alcohol or do not have any other identifiable bad habits. In the present study we demonstrate, using a combination of dynamic molecular modelling and Raman spectroscopy, that ethanol has a significant effect on oral cells in vitro, mainly interacting with the lipids of the cell membrane, changing their conformation. Thus, it is possible to conclude that ethanol can affect the cell permeability, and by consequence serve as a possible trigger in oral carcinogenesis.
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16
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Sahu A, Gera P, Malik A, Nair S, Chaturvedi P, Murali Krishna C. Raman exfoliative cytology for prognosis prediction in oral cancers: A proof of concept study. JOURNAL OF BIOPHOTONICS 2019; 12:e201800334. [PMID: 30719849 DOI: 10.1002/jbio.201800334] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Revised: 01/16/2019] [Accepted: 02/03/2019] [Indexed: 06/09/2023]
Abstract
Oral cancer is associated with high rates of recurrence, attributable to field cancerization. Early detection of advanced field changes that can potentially progress to carcinoma can facilitate timely intervention and can lead to improved prognosis. Previous in vivo studies have successfully detected advanced field effects in oral cancers. Raman exfoliative cytology has previously shown to differentiate normal, oral pre-cancer and cancers. The present study explores Raman-exfoliative-cytology-based detection of field effects. Exfoliated cells were collected from tumor (n = 16) and contralateral-normal appearing mucosa (n = 16) of oral cancer patients, and healthy tobacco habitués (n = 20). After spectral acquisition, specimens were Pap-stained for cytological evaluation. Data analysis, by Principal Component Analysis and Principal Component-Linear Discriminant Analysis, indicate several spectral-misclassifications between contralateral normal and tumor, which were investigated and correlated with spectral, cytological and clinical outcomes. A qualitative analysis by grouping patients with number of misclassifications with tumor (Group 1: 0, Group 2: 1 and Group 3: >1) was explored. Group 3 with highest misclassifications showed spectral and cytological similarity to tumor group - one patient was a case of early inoperable residual disease, despite clear margins on histopathology. Thus, these misclassifications could be indicative of cancer field changes, and can prospectively help to identify patients susceptible to recurrences .
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Affiliation(s)
- Aditi Sahu
- Chilakapati Laboratory, Tata Memorial Centre, ACTREC, Mumbai, India
- Dermatology Service, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Poonam Gera
- ACTREC Biorepository, Tata Memorial Centre, ACTREC, Mumbai, India
| | - Akshat Malik
- Head and Neck Surgical Oncology, Tata Memorial Hospital, Mumbai, India
| | - Sudhir Nair
- Head and Neck Surgical Oncology, Tata Memorial Hospital, Mumbai, India
| | - Pankaj Chaturvedi
- Head and Neck Surgical Oncology, Tata Memorial Hospital, Mumbai, India
| | - C Murali Krishna
- Chilakapati Laboratory, Tata Memorial Centre, ACTREC, Mumbai, India
- Homi Baba National Institute, Trombay, Mumbai
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17
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Ghosh A, Raha S, Dey S, Chatterjee K, Roy Chowdhury A, Barui A. Chemometric analysis of integrated FTIR and Raman spectra obtained by non-invasive exfoliative cytology for the screening of oral cancer. Analyst 2019; 144:1309-1325. [DOI: 10.1039/c8an02092b] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
FTIR spectroscopy and Raman spectroscopy of biological analytes are increasingly explored as screening tools for early detection of cancer.
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Affiliation(s)
- Aritri Ghosh
- Centre for Healthcare Science and Technology
- Indian Institute of Engineering Science and Technology
- Howrah 711103
- India
| | - Sreyan Raha
- Department of Physics
- Bose Institute
- Kolkata-700009
- India
| | - Susmita Dey
- Centre for Healthcare Science and Technology
- Indian Institute of Engineering Science and Technology
- Howrah 711103
- India
| | - Kabita Chatterjee
- Department of Oral and Maxillofacial Pathology
- Buddha Institute of Dental Sciences
- Patna 800020
- India
| | - Amit Roy Chowdhury
- Department of Aerospace and Applied Mechanics
- Indian Institute of Engineering Science and Technology
- Howrah 711103
- India
| | - Ananya Barui
- Centre for Healthcare Science and Technology
- Indian Institute of Engineering Science and Technology
- Howrah 711103
- India
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18
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In vivo Raman spectroscopic characteristics of different sites of the oral mucosa in healthy volunteers. Clin Oral Investig 2018; 23:3021-3031. [DOI: 10.1007/s00784-018-2714-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 10/17/2018] [Indexed: 02/07/2023]
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19
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Pahlow S, Weber K, Popp J, Wood BR, Kochan K, Rüther A, Perez-Guaita D, Heraud P, Stone N, Dudgeon A, Gardner B, Reddy R, Mayerich D, Bhargava R. Application of Vibrational Spectroscopy and Imaging to Point-of-Care Medicine: A Review. APPLIED SPECTROSCOPY 2018; 72:52-84. [PMID: 30265133 PMCID: PMC6524782 DOI: 10.1177/0003702818791939] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Affiliation(s)
- Susanne Pahlow
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
| | - Karina Weber
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
- Leibniz Institute of Photonic Technology-Leibniz Health Technologies, Jena, Germany
| | - Jürgen Popp
- Friedrich Schiller University Jena, Institute of Physical Chemistry and Abbe Center of Photonics, Jena, Germany
- InfectoGnostics Research Campus Jena, Centre for Applied Research, Jena, Germany
- Leibniz Institute of Photonic Technology-Leibniz Health Technologies, Jena, Germany
| | - Bayden R. Wood
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Kamila Kochan
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Anja Rüther
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - David Perez-Guaita
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Philip Heraud
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria, Australia
| | - Nick Stone
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Alex Dudgeon
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Ben Gardner
- University of Exeter, School of Physics and Astronomy, Exeter, UK
| | - Rohith Reddy
- Department of Electrical Engineering, University of Houston, Houston, USA
| | - David Mayerich
- Department of Electrical Engineering, University of Houston, Houston, USA
| | - Rohit Bhargava
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Departments of Mechanical Engineering, Bioengineering, Chemical and Biomolecular Engineering, Electrical and Computer Engineering, and Chemistry, University of Illinois at Urbana-Champaign, Urbana, USA
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20
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Swami MK, Gupta PK. Optical Spectroscopy for Biomedical Diagnosis. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES 2018. [DOI: 10.1007/s40010-018-0519-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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21
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Identification of Malignancy-Associated Changes in Histologically Normal Tumor-Adjacent Epithelium of Patients with HPV-Positive Oropharyngeal Cancer. Anal Cell Pathol (Amst) 2018; 2018:1607814. [PMID: 29713583 PMCID: PMC5866869 DOI: 10.1155/2018/1607814] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 01/08/2018] [Accepted: 01/11/2018] [Indexed: 12/28/2022] Open
Abstract
The incidence of HPV-positive oropharyngeal cancer (HPV+ OPC) is increasing, thus presenting new challenges for disease detection and management. Noninvasive methods involving brush biopsies of diseased tissues were recently reported as insufficient for tumor detection in HPV+ OPC patients, likely due to differences between the site of tumor initiation at the base of involuted crypts and the site of brush biopsy at the crypt surface. We hypothesized that histologically normal surface epithelial cells in the oropharynx contain changes in nuclear morphology that arise due to tumor proximity. We analyzed the nuclear phenotype of matched tumor, tumor-adjacent normal, and contralateral normal tissues from biopsies of nine HPV+ OPC patients. Measurements of 89 nuclear features were used to train a random forest-based classifier to discriminate between normal and tumor nuclei. We then extracted voting scores from the trained classifier, which classify nuclei on a continuous scale from zero (“normal-like”) to one (“tumor-like”). In each case, the average score of the adjacent normal nuclei was intermediate between the tumor and contralateral normal nuclei. These results provide evidence for the existence of phenotypic changes in histologically normal, tumor-adjacent surface epithelial cells, which could be used as brush biopsy-based biomarkers for HPV+ OPC detection.
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22
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de Carvalho LFDCES, Saito Nogueira M. New insights of Raman spectroscopy for oral clinical applications. Analyst 2018; 143:6037-6048. [DOI: 10.1039/c8an01363b] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Oral injuries are currently diagnosed by histopathological analysis of biopsy, which is an invasive procedure and does not give immediate results.
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23
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Singh SP, Alam H, Dmello C, Mamgain H, Vaidya MM, Dasari RR, Krishna CM. Identification of morphological and biochemical changes in keratin-8/18 knock-down cells using Raman spectroscopy. JOURNAL OF BIOPHOTONICS 2017; 10:1377-1384. [PMID: 28067994 DOI: 10.1002/jbio.201600249] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Revised: 12/01/2016] [Accepted: 12/02/2016] [Indexed: 06/06/2023]
Abstract
Accurate understanding of cellular processes and responses to stimuli is of paramount importance in biomedical research and diagnosis. Raman spectroscopy (RS), a label-free and nondestructive spectroscopic method has the potential to serve as a novel 'theranostics' tool. Both fiber-optic and micro-Raman studies have demonstrated efficacy in diagnostics and therapeutic response monitoring. In the present study, we have evaluated the potential of micro-Raman spectroscopic maps in identifying changes induced by loss of K8/18 proteins in a tongue cancer cell line. Furthermore, we also evaluated the efficacy of less expensive and commercially available fiber probes to identify K8/18 wild and knock-down cell pellets, in view of the utility of cell pellet-based studies. The findings suggest that major differences in the cellular morphology and biochemical composition can be objectively identified and can be utilized for classification using both micro-Raman and fiber-probe-based RS. These findings highlight the potential of fiber-optic probe-based RS in noninvasive cellular phenotyping for diagnosis and therapeutic response monitoring, especially in low-resource settings.
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Affiliation(s)
- S P Singh
- Advanced Centre for Treatment, Research & Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, 410210, India
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Hunain Alam
- Advanced Centre for Treatment, Research & Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, 410210, India
| | - Crismita Dmello
- Advanced Centre for Treatment, Research & Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, 410210, India
| | | | - Milind M Vaidya
- Advanced Centre for Treatment, Research & Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, 410210, India
| | - Ramachandra Rao Dasari
- Laser Biomedical Research Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - C Murali Krishna
- Advanced Centre for Treatment, Research & Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, 410210, India
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24
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Malik A, Sahu A, Singh SP, Deshmukh A, Chaturvedi P, Nair D, Nair S, Murali Krishna C. In vivo Raman spectroscopy-assisted early identification of potential second primary/recurrences in oral cancers: An exploratory study. Head Neck 2017; 39:2216-2223. [DOI: 10.1002/hed.24884] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 04/21/2017] [Accepted: 06/15/2017] [Indexed: 12/19/2022] Open
Affiliation(s)
- Akshat Malik
- Head and Neck Surgical Oncology, Tata Memorial Center; Mumbai India
| | - Aditi Sahu
- Chilakapati Laboratory, Advanced Center for Training, Research, and Education in Cancer (ACTREC), Tata Memorial Center; Navi Mumbai India
| | - S. P. Singh
- Chilakapati Laboratory, Advanced Center for Training, Research, and Education in Cancer (ACTREC), Tata Memorial Center; Navi Mumbai India
| | - Atul Deshmukh
- Chilakapati Laboratory, Advanced Center for Training, Research, and Education in Cancer (ACTREC), Tata Memorial Center; Navi Mumbai India
| | | | - Deepa Nair
- Head and Neck Surgical Oncology, Tata Memorial Center; Mumbai India
| | - Sudhir Nair
- Head and Neck Surgical Oncology, Tata Memorial Center; Mumbai India
| | - C. Murali Krishna
- Chilakapati Laboratory, Advanced Center for Training, Research, and Education in Cancer (ACTREC), Tata Memorial Center; Navi Mumbai India
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25
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Petersen D, Naveed P, Ragheb A, Niedieker D, El-Mashtoly SF, Brechmann T, Kötting C, Schmiegel WH, Freier E, Pox C, Gerwert K. Raman fiber-optical method for colon cancer detection: Cross-validation and outlier identification approach. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2017; 181:270-275. [PMID: 28384603 DOI: 10.1016/j.saa.2017.03.054] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 03/20/2017] [Accepted: 03/24/2017] [Indexed: 06/07/2023]
Abstract
Endoscopy plays a major role in early recognition of cancer which is not externally accessible and therewith in increasing the survival rate. Raman spectroscopic fiber-optical approaches can help to decrease the impact on the patient, increase objectivity in tissue characterization, reduce expenses and provide a significant time advantage in endoscopy. In gastroenterology an early recognition of malign and precursor lesions is relevant. Instantaneous and precise differentiation between adenomas as precursor lesions for cancer and hyperplastic polyps on the one hand and between high and low-risk alterations on the other hand is important. Raman fiber-optical measurements of colon biopsy samples taken during colonoscopy were carried out during a clinical study, and samples of adenocarcinoma (22), tubular adenomas (141), hyperplastic polyps (79) and normal tissue (101) from 151 patients were analyzed. This allows us to focus on the bioinformatic analysis and to set stage for Raman endoscopic measurements. Since spectral differences between normal and cancerous biopsy samples are small, special care has to be taken in data analysis. Using a leave-one-patient-out cross-validation scheme, three different outlier identification methods were investigated to decrease the influence of systematic errors, like a residual risk in misplacement of the sample and spectral dilution of marker bands (esp. cancerous tissue) and therewith optimize the experimental design. Furthermore other validations methods like leave-one-sample-out and leave-one-spectrum-out cross-validation schemes were compared with leave-one-patient-out cross-validation. High-risk lesions were differentiated from low-risk lesions with a sensitivity of 79%, specificity of 74% and an accuracy of 77%, cancer and normal tissue with a sensitivity of 79%, specificity of 83% and an accuracy of 81%. Additionally applied outlier identification enabled us to improve the recognition of neoplastic biopsy samples.
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Affiliation(s)
- D Petersen
- Department of Biophysics and Protein Research Unit Europe (PURE), Ruhr University Bochum, ND/04 Nord, 44780 Bochum, Germany
| | - P Naveed
- University Hospital Knappschaftskrankenhaus Bochum, In der Schornau 23-25, 44892 Bochum, Germany; Department of Gastroenterology/Hepatology, Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil GmbH, Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - A Ragheb
- University Hospital Knappschaftskrankenhaus Bochum, In der Schornau 23-25, 44892 Bochum, Germany
| | - D Niedieker
- Department of Biophysics and Protein Research Unit Europe (PURE), Ruhr University Bochum, ND/04 Nord, 44780 Bochum, Germany
| | - S F El-Mashtoly
- Department of Biophysics and Protein Research Unit Europe (PURE), Ruhr University Bochum, ND/04 Nord, 44780 Bochum, Germany
| | - T Brechmann
- Department of Gastroenterology/Hepatology, Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil GmbH, Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - C Kötting
- Department of Biophysics and Protein Research Unit Europe (PURE), Ruhr University Bochum, ND/04 Nord, 44780 Bochum, Germany
| | - W H Schmiegel
- University Hospital Knappschaftskrankenhaus Bochum, In der Schornau 23-25, 44892 Bochum, Germany; Department of Gastroenterology/Hepatology, Berufsgenossenschaftliches Universitätsklinikum Bergmannsheil GmbH, Bürkle-de-la-Camp-Platz 1, 44789 Bochum, Germany
| | - E Freier
- Department of Biophysics and Protein Research Unit Europe (PURE), Ruhr University Bochum, ND/04 Nord, 44780 Bochum, Germany
| | - C Pox
- University Hospital Knappschaftskrankenhaus Bochum, In der Schornau 23-25, 44892 Bochum, Germany.
| | - K Gerwert
- Department of Biophysics and Protein Research Unit Europe (PURE), Ruhr University Bochum, ND/04 Nord, 44780 Bochum, Germany.
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26
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Krishna CM, Sahu A. Water Concentration Analysis of the Surgical Margin-Letter. Cancer Res 2017; 77:3121-3122. [PMID: 28526772 DOI: 10.1158/0008-5472.can-16-3206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 01/19/2017] [Indexed: 11/16/2022]
Affiliation(s)
- C Murali Krishna
- Chilakapati Laboratory, Advanced Center for Training, Research and Education in Cancer (ACTREC), Tata Memorial Center, Navi Mumbai, India.
| | - Aditi Sahu
- Chilakapati Laboratory, Advanced Center for Training, Research and Education in Cancer (ACTREC), Tata Memorial Center, Navi Mumbai, India
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27
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Abstract
Despite significant effort, cancer still remains a leading cause of death worldwide. In order to reduce its burden, the development and improvement of noninvasive strategies for early detection and diagnosis of cancer are urgently needed. Raman spectroscopy, an optical technique that relies on inelastic light scattering arising from molecular vibrations, is one such strategy, as it can noninvasively probe cancerous markers using only endogenous contrast. In this review, spontaneous, coherent and surface enhanced Raman spectroscopies and imaging, as well as the fundamental principles governing the successful use of these techniques, are discussed. Methods for spectral data analysis are also highlighted. Utilization of the discussed Raman techniques for the detection and diagnosis of cancer in vitro, ex vivo and in vivo is described. The review concludes with a discussion of the future directions of Raman technologies, with particular emphasis on their clinical translation.
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Affiliation(s)
- Lauren A Austin
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
| | - Sam Osseiran
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA. and Harvard-MIT Division of Health Sciences and Technology, 77 Massachusetts Avenue E25-519, Cambridge, Massachusetts 02139, USA
| | - Conor L Evans
- Wellman Center for Photomedicine, Harvard Medical School, Massachusetts General Hospital, 149 13th Street, Charlestown, Massachusetts 02129, USA.
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28
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Nazeer SS, Samrid R, Perez-Guaita D, Prachaney P, Chaisiwamongkol K, Pakdeechote P, Chaiyarit P, Wood BR. Monitoring the biochemical alterations in hypertension affected salivary gland tissues using Fourier transform infrared hyperspectral imaging. Analyst 2017; 142:1269-1275. [DOI: 10.1039/c6an02074g] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
FTIR imaging shows biochemical differences between salivary glands from control and hypertensive rats.
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Affiliation(s)
- Shaiju S. Nazeer
- Centre for Biospectroscopy
- School of Chemistry
- Monash University
- VIC 3800
- Australia
| | - Rarinthorn Samrid
- Department of Anatomy
- Faculty of Medicine
- Khon Kaen University
- Thailand
| | - David Perez-Guaita
- Centre for Biospectroscopy
- School of Chemistry
- Monash University
- VIC 3800
- Australia
| | | | | | | | - Ponlatham Chaiyarit
- Department of Oral Diagnosis
- Faculty of Dentistry
- Khon Kaen University
- Thailand
- Research Group of Chronic Inflammatory Oral Diseases and Systemic Diseases Associated with Oral Health
| | - Bayden R. Wood
- Centre for Biospectroscopy
- School of Chemistry
- Monash University
- VIC 3800
- Australia
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29
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Mian SA, Yorucu C, Ullah MS, Rehman IU, Colley HE. Raman spectroscopy can discriminate between normal, dysplastic and cancerous oral mucosa: a tissue-engineering approach. J Tissue Eng Regen Med 2016; 11:3253-3262. [PMID: 27860386 DOI: 10.1002/term.2234] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2015] [Revised: 03/24/2016] [Accepted: 05/17/2016] [Indexed: 11/06/2022]
Abstract
Head and neck cancer (HNC) is the sixth most common malignancy worldwide. Squamous cell carcinoma, the primary cause of HNC, evolves from normal epithelium through dysplasia before invading the connective tissue to form a carcinoma. However, less than 18% of suspicious oral lesions progress to cancer, with diagnosis currently relying on histopathological evaluation, which is invasive and time consuming. A non-invasive, real-time, point-of-care method could overcome these problems and facilitate regular screening. Raman spectroscopy is a non-invasive optical technique with the ability to extract molecular level information to help determine the functional groups present in a tissue and the molecular conformations of tissue constituents. In the present study, Raman spectroscopy was assessed for its ability to discriminate between normal, dysplastic and HNC. Tissue engineered models of normal, dysplastic and HNC were constructed using normal oral keratinocytes, dysplastic and HNC cell lines, and their biochemical content predicted by interpretation of spectral characteristics. Spectral differences were evident in both the fingerprint (600/cm to 1800/cm) and high wave-number compartments (2800/cm to 3400/cm). Visible differences were seen in peaks relating to lipid content (2881/cm), protein structure (amide I, amide III), several amino acids and nucleic acids (600/cm to 1003/cm). Multivariate data analysis algorithms successfully identified subtypes of dysplasia and cancer, suggesting that Raman spectroscopy not only has the potential to differentiate between normal, pre-malignant and cancerous tissue models but could also be sensitive enough to detect subtypes of dysplasia or cancer on the basis of their subcellular differences. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Salman A Mian
- Department of Materials Science and Engineering, University of Sheffield, Sheffield, UK.,School of Clinical Dentistry, University of Sheffield, Sheffield, UK
| | - Ceyla Yorucu
- Department of Materials Science and Engineering, University of Sheffield, Sheffield, UK
| | - Muhammad Saad Ullah
- Department of Materials Science and Engineering, University of Sheffield, Sheffield, UK.,School of Clinical Dentistry, University of Sheffield, Sheffield, UK
| | - Ihtesham U Rehman
- Department of Materials Science and Engineering, University of Sheffield, Sheffield, UK
| | - Helen E Colley
- School of Clinical Dentistry, University of Sheffield, Sheffield, UK
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30
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Cepeda-Pérez E, López-Luke T, Plascencia-Villa G, Perez-Mayen L, Ceja-Fdez A, Ponce A, Vivero-Escoto J, de la Rosa E. SERS and integrative imaging upon internalization of quantum dots into human oral epithelial cells. JOURNAL OF BIOPHOTONICS 2016; 9:683-693. [PMID: 27120043 DOI: 10.1002/jbio.201600034] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Revised: 04/01/2016] [Accepted: 04/03/2016] [Indexed: 06/05/2023]
Abstract
CdTe quantum dots (QDs) are widely used in bio-applications due to their size and highly efficient optical properties. However internalization mechanisms thereof for the variety of freshly extracted, not cultivated human cells and their specific molecular interactions remains an open topic for discussion. In this study, we assess the internalization mechanism of CdTe quantum dots (3.3 nm) capped with thioglycolic acid using non cultivated oral epithelial cells obtained from healthy donors. Naked gold nanoparticles (40 nm) were successfully used as nanosensors for surface-enhanced Raman spectroscopy to efficiently identify characteristic Raman peaks, providing new evidence indicating that the first interactions of these QDs with epithelial cells occurred preferentially with aromatic rings and amine groups of amino acid residues and glycans from trans-membrane proteins and cytoskeleton. Using an integrative combination of advanced imaging techniques, including ultra-high resolution SEM, high resolution STEM coupled with EDX spectroscopy together with the results obtained by Raman spectroscopy, it was determined that thioglycolic acid capped CdTe QDs are efficiently internalized into freshly extracted oral epithelial cells only by facilitated diffusion, distributed into cytoplasm and even within the cell nucleus in three minutes.
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Affiliation(s)
| | | | - Germán Plascencia-Villa
- Department of Physics and Astronomy, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA
| | | | | | - Arturo Ponce
- Department of Physics and Astronomy, University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA
| | - Juan Vivero-Escoto
- The University of North Carolina-Charlotte, Department of Chemistry, 9201 University City Blvd., Charlotte, NC 28223, USA
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31
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Abstract
Clinical diagnostic devices provide new sources of information that give insight about the state of health which can then be used to manage patient care. These tools can be as simple as an otoscope to better visualize the ear canal or as complex as a wireless capsule endoscope to monitor the gastrointestinal tract. It is with tools such as these that medical practitioners can determine when a patient is healthy and to make an appropriate diagnosis when he/she is not. The goal of diagnostic medicine then is to efficiently determine the presence and cause of disease in order to provide the most appropriate intervention. The earliest form of medical diagnostics relied on the eye - direct visual observation of the interaction of light with the sample. This technique was espoused by Hippocrates in his 5th century BCE work Epidemics, in which the pallor of a patient's skin and the coloring of the bodily fluids could be indicative of health. In the last hundred years, medical diagnosis has moved from relying on visual inspection to relying on numerous technological tools that are based on various types of interaction of the sample with different types of energy - light, ultrasound, radio waves, X-rays etc. Modern advances in science and technology have depended on enhancing technologies for the detection of these interactions for improved visualization of human health. Optical methods have been focused on providing this information in the micron to millimeter scale while ultrasound, X-ray, and radio waves have been key in aiding in the millimeter to centimeter scale. While a few optical technologies have achieved the status of medical instruments, many remain in the research and development phase despite persistent efforts by many researchers in the translation of these methods for clinical care. Of these, Raman spectroscopy has been described as a sensitive method that can provide biochemical information about tissue state while maintaining the capability of delivering this information in real-time, non-invasively, and in an automated manner. This review presents the various instrumentation considerations relevant to the clinical implementation of Raman spectroscopy and reviews a subset of interesting applications that have successfully demonstrated the efficacy of this technique for clinical diagnostics and monitoring in large (n ≥ 50) in vivo human studies.
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Affiliation(s)
- Isaac Pence
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
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32
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Stevens O, Iping Petterson IE, Day JCC, Stone N. Developing fibre optic Raman probes for applications in clinical spectroscopy. Chem Soc Rev 2016; 45:1919-34. [PMID: 26956027 DOI: 10.1039/c5cs00850f] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Raman spectroscopy has been shown by various groups over the last two decades to have significant capability in discriminating disease states in bodily fluids, cells and tissues. Recent development in instrumentation, optics and manufacturing approaches has facilitated the design and demonstration of various novel in vivo probes, which have applicability for myriad of applications. This review focusses on key considerations and recommendations for application specific clinical Raman probe design and construction. Raman probes can be utilised as clinical tools able to provide rapid, non-invasive, real-time molecular analysis of disease specific changes in tissues. Clearly the target tissue location, the significance of spectral changes with disease and the possible access routes to the region of interest will vary for each clinical application considered. This review provides insight into design and construction considerations, including suitable probe designs and manufacturing materials compatible with Raman spectroscopy.
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Affiliation(s)
- Oliver Stevens
- Biomedical Physics, School of Physics and Astronomy, University of Exeter, Exeter, Devon EX4 4QL, UK.
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33
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Automatic and objective oral cancer diagnosis by Raman spectroscopic detection of keratin with multivariate curve resolution analysis. Sci Rep 2016; 6:20097. [PMID: 26806007 PMCID: PMC4726139 DOI: 10.1038/srep20097] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Accepted: 12/18/2015] [Indexed: 11/29/2022] Open
Abstract
We have developed an automatic and objective method for detecting human oral squamous cell carcinoma (OSCC) tissues with Raman microspectroscopy. We measure 196 independent Raman spectra from 196 different points of one oral tissue sample and globally analyze these spectra using a Multivariate Curve Resolution (MCR) analysis. Discrimination of OSCC tissues is automatically and objectively made by spectral matching comparison of the MCR decomposed Raman spectra and the standard Raman spectrum of keratin, a well-established molecular marker of OSCC. We use a total of 24 tissue samples, 10 OSCC and 10 normal tissues from the same 10 patients, 3 OSCC and 1 normal tissues from different patients. Following the newly developed protocol presented here, we have been able to detect OSCC tissues with 77 to 92% sensitivity (depending on how to define positivity) and 100% specificity. The present approach lends itself to a reliable clinical diagnosis of OSCC substantiated by the “molecular fingerprint” of keratin.
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34
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Singh SP, Ibrahim O, Byrne HJ, Mikkonen JW, Koistinen AP, Kullaa AM, Lyng FM. Recent advances in optical diagnosis of oral cancers: Review and future perspectives. Head Neck 2015; 38 Suppl 1:E2403-11. [PMID: 26613806 DOI: 10.1002/hed.24293] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Revised: 07/30/2015] [Accepted: 09/12/2015] [Indexed: 12/16/2022] Open
Abstract
Optical diagnosis techniques offer several advantages over traditional approaches, including objectivity, speed, and cost, and these label-free, noninvasive methods have the potential to change the future workflow of cancer management. The oral cavity is particularly accessible and, thus, such methods may serve as alternate/adjunct tools to traditional methods. Recently, in vivo human clinical studies have been initiated with a view to clinical translation of such technologies. A comprehensive review of optical methods in oral cancer diagnosis is presented. After an introduction to the epidemiology and etiological factors associated with oral cancers currently used, diagnostic methods and their limitations are presented. A thorough review of fluorescence, infrared absorption, and Raman spectroscopic methods in oral cancer diagnosis is presented. The applicability of minimally invasive methods based on serum/saliva is also discussed. The review concludes with a discussion on future demands and scope of developments from a clinical point of view. © 2015 Wiley Periodicals, Inc. Head Neck 38: E2403-E2411, 2016.
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Affiliation(s)
- S P Singh
- Institute of Dentistry, University of Eastern Finland, Kuopio, Finland.,SIB Laboratories, University of Eastern Finland, Kuopio, Finland
| | - Ola Ibrahim
- DIT Centre for Radiation and Environmental Science, FOCAS Research Institute, Dublin Institute of Technology, Dublin, Ireland.,School of Physics, Dublin Institute of Technology, Dublin, Ireland
| | - Hugh J Byrne
- FOCAS Research Institute, Dublin Institute of Technology, Dublin, Ireland
| | - Jopi W Mikkonen
- SIB Laboratories, University of Eastern Finland, Kuopio, Finland
| | - Arto P Koistinen
- SIB Laboratories, University of Eastern Finland, Kuopio, Finland
| | - Arja M Kullaa
- Institute of Dentistry, University of Eastern Finland, Kuopio, Finland.,Research Group of Oral Health Sciences, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Fiona M Lyng
- DIT Centre for Radiation and Environmental Science, FOCAS Research Institute, Dublin Institute of Technology, Dublin, Ireland.,School of Physics, Dublin Institute of Technology, Dublin, Ireland
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35
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Sahu A, Nandakumar N, Sawant S, Krishna CM. Recurrence prediction in oral cancers: a serum Raman spectroscopy study. Analyst 2015; 140:2294-301. [PMID: 25619332 DOI: 10.1039/c4an01860e] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
High mortality rates associated with oral cancers can be primarily attributed to the failure of current histological procedures in predicting recurrence. Identifying recurrence related factors can lead to improved prognosis, optimized treatment and enhanced overall outcomes. Serum Raman spectroscopy has previously shown potential in the diagnosis of cancers, such as head and neck, cervix, breast, oral cancers, and also in predicting treatment response. In the present study, serum was collected from 22 oral cancer subjects [with recurrence (n = 10) and no-recurrence (n = 12)] before and after surgery and spectra were acquired using a Raman microprobe coupled with a 40× objective. Spectral acquisition parameters were as follows: λex = 785 nm, laser power = 30 mW, integration time: 12 s and averages: 3. Data was analyzed in a patient-wise approach using unsupervised PCA and supervised PC-LDA, followed by LOOCV. PCA and PC-LDA findings suggest that recurrent and non-recurrent cases cannot be classified in before surgery serum samples; an average classification efficiency of ∼78% was obtained in after-surgery samples. Mean and difference spectra and PCA loadings indicate that DNA and protein markers may be potential spectral markers for recurrence. RS of post surgery serum samples may have the potential to predict the probability of recurrence in clinics, after prospective large-scale validation.
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Affiliation(s)
- Aditi Sahu
- Chilakapati lab, ACTREC, Tata Memorial Center, Kharghar, Navi Mumbai 410210, India.
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36
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Kumar P, Bhattacharjee T, Ingle A, Maru G, Krishna CM. Raman Spectroscopy of Experimental Oral Carcinogenesis: Study on Sequential Cancer Progression in Hamster Buccal Pouch Model. Technol Cancer Res Treat 2015; 15:NP60-72. [PMID: 26272064 DOI: 10.1177/1533034615598622] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Accepted: 07/01/2015] [Indexed: 01/06/2023] Open
Abstract
Oral cancers suffer from poor 5-year survival rates, owing to late detection of the disease. Current diagnostic/screening tools need to be upgraded in view of disadvantages like invasiveness, tedious sample preparation, long output times, and interobserver variances. Raman spectroscopy has been shown to identify many disease conditions, including oral cancers, from healthy conditions. Further studies in exploring sequential changes in oral carcinogenesis are warranted. In this Raman spectroscopy study, sequential progression in experimental oral carcinogenesis in Hamster buccal pouch model was investigated using 3 approaches-ex vivo, in vivo sequential, and in vivo follow-up. In all these studies, spectral changes show lipid dominance in early stages while later stages and tumors showed increased protein to lipid ratio and nucleic acids. On similar lines, early weeks of 7,12-dimethylbenz(a)anthracene-treated and control groups showed higher overlap and low classification. The classification efficiency increased progressively, reached a plateau phase and subsequently increased up to 100% by 14 weeks. The misclassifications between treated and control spectra suggested some changes in controls as well, which was confirmed by a careful reexamination of histopathological slides. These findings suggests Raman spectroscopy may be able to identify microheterogeneity, which may often go unnoticed in conventional biochemistry wherein tissue extracts are employed, as well as in histopathology. In vivo findings, quite comparable to gold-standard supported ex vivo findings, give further proof of Raman spectroscopy being a promising label-free, noninvasive diagnostic adjunct for future clinical applications.
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Affiliation(s)
- Piyush Kumar
- Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
| | - Tanmoy Bhattacharjee
- Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
| | - Arvind Ingle
- Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
| | - Girish Maru
- Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
| | - C Murali Krishna
- Advanced Centre for Treatment, Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India
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37
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Omar E. Current concepts and future of noninvasive procedures for diagnosing oral squamous cell carcinoma--a systematic review. Head Face Med 2015; 11:6. [PMID: 25889859 PMCID: PMC4396078 DOI: 10.1186/s13005-015-0063-z] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2014] [Accepted: 02/04/2015] [Indexed: 12/21/2022] Open
Abstract
Background Oral squamous cell carcinoma (OSCC) has a remarkably high incidence worldwide, and a fairly serious prognosis, encouraging further research into advanced technologies for noninvasive methods of making early diagnoses, ideally in primary care settings. Objectives Our purpose was to examine the validity of using advanced noninvasive technologies in diagnosis of OSCC by identifying and evaluating relevant published reports. Data source MEDLINE, EMBASE, and CINAHL were searched to identify clinical trials and other information published between 1990 and 10 June 2014; the searches of MEDLINE and EMBASE were updated to November 2014. Study selection: Studies of noninvasive methods of diagnosing OSCC, including oral brush biopsy, optical biopsy, saliva-based oral cancer diagnosis, and others were included. Data extraction Data were abstracted and evaluated in duplicate for possible relevance on two occasions at an interval of 2 months before being included or excluded. Data synthesis This study identified 163 studies of noninvasive methods for diagnosing OSCC that met the inclusion criteria. These included six studies of oral brush biopsy, 42 of saliva-based oral diagnosis, and 115 of optical biopsy. Sixty nine of these studies were assessed by the modified version of the QUADAS instrument. Saliva-based oral cancer diagnosis and optical biopsy were found to be promising noninvasive methods for diagnosing OSCC. Limitation The strength of evidence was rated low for accuracy outcomes because the studies did not report important details required to assess the risk for bias. Conclusions It is clear that screening for and early detection of cancer and pre-cancerous lesions have the potential to reduce the morbidity and mortality of this disease. Advances in technologies for saliva-based oral diagnosis and optical biopsy are promising pathways for the future development of more effective noninvasive methods for diagnosing OSCC that are easy to perform clinically in primary care settings.
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Affiliation(s)
- Esam Omar
- Department of Oral and Maxillofacial Surgery, College of Dentistry, Taibah University, Madinah, Saudi Arabia.
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38
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Behl I, Kukreja L, Deshmukh A, Singh SP, Mamgain H, Hole AR, Krishna CM. Raman mapping of oral buccal mucosa: a spectral histopathology approach. JOURNAL OF BIOMEDICAL OPTICS 2014; 19:126005. [PMID: 25478870 DOI: 10.1117/1.jbo.19.12.126005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2014] [Accepted: 10/30/2014] [Indexed: 06/04/2023]
Abstract
Oral cancer is one of the most common cancers worldwide. One-fifth of the world's oral cancer subjects are from India and other South Asian countries. The present Raman mapping study was carried out to understand biochemical variations in normal and malignant oral buccal mucosa. Data were acquired using WITec alpha 300R instrument from 10 normal and 10 tumors unstained tissue sections. Raman maps of normal sections could resolve the layers of epithelium, i.e. basal, intermediate, and superficial. Inflammatory, tumor, and stromal regions are distinctly depicted on Raman maps of tumor sections. Mean and difference spectra of basal and inflammatory cells suggest abundance of DNA and carotenoids features. Strong cytochrome bands are observed in intermediate layers of normal and stromal regions of tumor. Epithelium and stromal regions of normal cells are classified by principal component analysis. Classification among cellular components of normal and tumor sections is also observed. Thus, the findings of the study further support the applicability of Raman mapping for providing molecular level insights in normal and malignant conditions.
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Affiliation(s)
- Isha Behl
- Chilakapati Lab, ACTREC, Kharghar, Navi-Mumbai 410210, India
| | - Lekha Kukreja
- Chilakapati Lab, ACTREC, Kharghar, Navi-Mumbai 410210, India
| | - Atul Deshmukh
- Chilakapati Lab, ACTREC, Kharghar, Navi-Mumbai 410210, India
| | - S P Singh
- Chilakapati Lab, ACTREC, Kharghar, Navi-Mumbai 410210, India
| | | | - Arti R Hole
- Chilakapati Lab, ACTREC, Kharghar, Navi-Mumbai 410210, India
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39
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Christian K, Johanna M, Werner A, Kathrin B, Tesfay GM, Robert H, Abbas A, Stefan W, Andreas B, Wilhelm NF, Florian S. Raman difference spectroscopy: a non-invasive method for identification of oral squamous cell carcinoma. BIOMEDICAL OPTICS EXPRESS 2014; 5:3252-65. [PMID: 25401036 PMCID: PMC4230857 DOI: 10.1364/boe.5.003252] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2014] [Revised: 07/16/2014] [Accepted: 07/31/2014] [Indexed: 05/04/2023]
Abstract
The feasibility of shifted-excitation Raman difference spectroscopy (SERDS) as a label-free and non-invasive technique for an objective diagnosis of oral cancer (OSCC) was investigated by analyzing 12 ex vivo OSCC samples. 72 mean SERDS spectra from each three physiological tissue points and pathological lesions were correlated with the histo-pathological diagnosis. Principal component analysis (PCA) and linear discriminant analysis (LDA) showed excellent results with an area under the curve of 94.5% and a classification error of 9.7% (sensitivity: 86.1%; specificity: 94.4%). The SERDS Raman spectra of malignant and benignant tissues were discriminable with respect to the spectral features of proteins, lipids and nucleic acids. The presented method is capable of a highly accurate identification of OSCC. These findings suggest a high validity and reproducibility of SERDS combined with PCA and LDA analysis regarding oral cancer tissue.
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Affiliation(s)
- Knipfer Christian
- Department of Oral and Maxillofacial Surgery, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Motz Johanna
- Department of Oral and Maxillofacial Surgery, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Adler Werner
- Department of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Brunner Kathrin
- Department of Pathology, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Gebrekidan Medhaine Tesfay
- Lehrstuhl für Technische Thermodynamik, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Hankel Robert
- Lehrstuhl für Technische Thermodynamik, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Agaimy Abbas
- Department of Pathology, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Will Stefan
- Lehrstuhl für Technische Thermodynamik, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Braeuer Andreas
- Lehrstuhl für Technische Thermodynamik, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Neukam Friedrich Wilhelm
- Department of Oral and Maxillofacial Surgery, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Stelzle Florian
- Department of Oral and Maxillofacial Surgery, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Erlangen Graduate School in Advanced Optical Technologies (SAOT), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
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40
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Yasser M, Shaikh R, Chilakapati MK, Teni T. Raman spectroscopic study of radioresistant oral cancer sublines established by fractionated ionizing radiation. PLoS One 2014; 9:e97777. [PMID: 24841281 PMCID: PMC4026477 DOI: 10.1371/journal.pone.0097777] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2014] [Accepted: 04/23/2014] [Indexed: 01/24/2023] Open
Abstract
Radiotherapy is an important treatment modality for oral cancer. However, development of radioresistance is a major hurdle in the efficacy of radiotherapy in oral cancer patients. Identifying predictors of radioresistance is a challenging task and has met with little success. The aim of the present study was to explore the differential spectral profiles of the established radioresistant sublines and parental oral cancer cell lines by Raman spectroscopy. We have established radioresistant sublines namely, 50Gy-UPCI:SCC029B and 70Gy-UPCI:SCC029B from its parental UPCI:SCC029B cell line, by using clinically admissible 2Gy fractionated ionizing radiation (FIR). The developed radioresistant character was validated by clonogenic cell survival assay and known radioresistance-related protein markers like Mcl-1, Bcl-2, Cox-2 and Survivin. Altered cellular morphology with significant increase (p<0.001) in the number of filopodia in radioresistant cells with respect to parental cells was observed. The Raman spectra of parental UPCI:SCC029B, 50Gy-UPCI:SCC029B and 70Gy-UPCI:SCC029B cells were acquired and spectral features indicate possible differences in biomolecules like proteins, lipids and nucleic acids. Principal component analysis (PCA) provided three clusters corresponding to radioresistant 50Gy, 70Gy-UPCI:SCC029B sublines and parental UPCI:SCC029B cell line with minor overlap, which suggest altered molecular profile acquired by the radioresistant cells due to multiple doses of irradiation. The findings of this study support the potential of Raman spectroscopy in prediction of radioresistance and possibly contribute to better prognosis of oral cancer.
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Affiliation(s)
- Mohd Yasser
- KS-121, Teni Laboratory, ACTREC, Tata Memorial Centre, Kharghar-Node, Navi Mumbai, India
| | - Rubina Shaikh
- KS-04, Chilakapati Laboratory, ACTREC, Tata Memorial Centre, Kharghar-Node, Navi Mumbai, India
| | - Murali Krishna Chilakapati
- KS-04, Chilakapati Laboratory, ACTREC, Tata Memorial Centre, Kharghar-Node, Navi Mumbai, India
- * E-mail: (MKC); (TT)
| | - Tanuja Teni
- KS-121, Teni Laboratory, ACTREC, Tata Memorial Centre, Kharghar-Node, Navi Mumbai, India
- * E-mail: (MKC); (TT)
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41
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Girish CM, Iyer S, Thankappan K, Rani VVD, Gowd GS, Menon D, Nair S, Koyakutty M. Rapid detection of oral cancer using Ag–TiO2 nanostructured surface-enhanced Raman spectroscopic substrates. J Mater Chem B 2014; 2:989-998. [DOI: 10.1039/c3tb21398f] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Developed Ag–TiO2 based large area SERS substrate that enables spectroscopic detection and classification of oral squamous cell carcinoma with a specificity and sensitivity of 95.83% and 100%, respectively.
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Affiliation(s)
- Chundayil Madathil Girish
- Amrita Centre for Nanosciences & Molecular Medicine
- Amrita Vishwa Vidyapeetham University
- Cochin, India
| | - Subramania Iyer
- Department of Head and Neck Surgery
- Amrita Institute of Medical Sciences
- Cochin, India
| | | | - V. V. Divya Rani
- Amrita Centre for Nanosciences & Molecular Medicine
- Amrita Vishwa Vidyapeetham University
- Cochin, India
| | - G. Siddaramana Gowd
- Amrita Centre for Nanosciences & Molecular Medicine
- Amrita Vishwa Vidyapeetham University
- Cochin, India
| | - Deepthy Menon
- Amrita Centre for Nanosciences & Molecular Medicine
- Amrita Vishwa Vidyapeetham University
- Cochin, India
| | - Shantikumar Nair
- Amrita Centre for Nanosciences & Molecular Medicine
- Amrita Vishwa Vidyapeetham University
- Cochin, India
| | - Manzoor Koyakutty
- Amrita Centre for Nanosciences & Molecular Medicine
- Amrita Vishwa Vidyapeetham University
- Cochin, India
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42
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Sahu A, Sawant S, Mamgain H, Krishna CM. Raman spectroscopy of serum: an exploratory study for detection of oral cancers. Analyst 2013; 138:4161-74. [DOI: 10.1039/c3an00308f] [Citation(s) in RCA: 89] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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