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Luo Y, Liu H, Wu C, Paraskevaidi M, Deng Y, Shi W, Yuan Y, Feng R, Martin FL, Pang W. Diagnostic segregation of human breast tumours using Fourier-transform infrared spectroscopy coupled with multivariate analysis: Classifying cancer subtypes. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 255:119694. [PMID: 33799187 DOI: 10.1016/j.saa.2021.119694] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 03/01/2021] [Accepted: 03/07/2021] [Indexed: 06/12/2023]
Abstract
The present study aimed to investigate whether attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy coupled with multivariate analysis could be applied to discriminate and classify among breast tumour molecular subtypes based on the unique spectral "fingerprints" of their biochemical composition. The different breast cancer tissues and normal breast tissues were collected and identified by pathology and ATR-FTIR spectroscopy respectively. The study indicates that the levels of the lipid-to-protein, nucleic acid-to-lipid, phosphate-to-carbohydrate and their secondary structure ratio, including RNA-to-DNA, Amide I-to-Amide II, and RNA-to-lipid ratios were significantly altered among the molecular subtype of breast tumour compared with normal breast tissues, which helps explain the changes in the biochemical structure of different molecular phenotypes of breast cancer. Tentatively-assigned characteristic peak ratios of infrared (IR) spectra reflect the changes of the macromolecule structure in different issues to a great extent and can be used as a potential biomarker to predict the molecular subtype of breast tumour. The present study acts as the first case study to show the successful application of IR spectroscopy in classifying subtypes of breast cancer with biochemical alterations. Therefore, the present study is likely to help to provide a new diagnostic approach for the accurate diagnosis of breast tumours and differential molecular subtypes and has the potential to be used for further intraoperative management.
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Affiliation(s)
- Youhong Luo
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Hui Liu
- School of Public Health, Guilin Medical University, Guilin, Guangxi, PR China
| | - Chunye Wu
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Maria Paraskevaidi
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, UK; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston PR1 2HE, UK
| | - Yujie Deng
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Wenjie Shi
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Ye Yuan
- School of Basic Medical Sciences, Guilin Medical University, Guilin, Guangxi, PR China
| | - Ruifa Feng
- The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | | | - Weiyi Pang
- School of Public Health, Guilin Medical University, Guilin, Guangxi, PR China.
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Maitra I, Morais CLM, Lima KMG, Ashton KM, Date RS, Martin FL. Attenuated total reflection Fourier-transform infrared spectral discrimination in human bodily fluids of oesophageal transformation to adenocarcinoma. Analyst 2019; 144:7447-7456. [DOI: 10.1039/c9an01749f] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Attenuated total reflection Fourier-transform infrared spectroscopy (ATR-FTIR) of biofluids was used to detect oesophageal stages through to oesophageal adenocarcinoma.
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Affiliation(s)
- Ishaan Maitra
- School of Pharmacy and Biomedical Sciences
- University of Central Lancashire
- Preston PR1 2HE
- UK
| | - Camilo L. M. Morais
- School of Pharmacy and Biomedical Sciences
- University of Central Lancashire
- Preston PR1 2HE
- UK
| | - Kássio M. G. Lima
- School of Pharmacy and Biomedical Sciences
- University of Central Lancashire
- Preston PR1 2HE
- UK
- Institute of Chemistry
| | - Katherine M. Ashton
- Lancashire Teaching Hospitals NHS Foundation Trust
- Royal Preston Hospital
- Preston PR2 9HT
- UK
| | - Ravindra S. Date
- Lancashire Teaching Hospitals NHS Foundation Trust
- Royal Preston Hospital
- Preston PR2 9HT
- UK
| | - Francis L. Martin
- School of Pharmacy and Biomedical Sciences
- University of Central Lancashire
- Preston PR1 2HE
- UK
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3
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Siqueira LFS, Lima KMG. MIR-biospectroscopy coupled with chemometrics in cancer studies. Analyst 2018; 141:4833-47. [PMID: 27433557 DOI: 10.1039/c6an01247g] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
This review focuses on chemometric techniques applied in MIR-biospectroscopy for cancer diagnosis and analysis over the last ten years of research. Experimental applications of chemometrics coupled with biospectroscopy are discussed throughout this work. The advantages and drawbacks of this association are also highlighted. Chemometric algorithms are evidenced as a powerful tool for cancer diagnosis, classification, and in different matrices. In fact, it is shown how chemometrics can be implemented along all different types of cancer analyses.
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Affiliation(s)
- Laurinda F S Siqueira
- Biological Chemistry and Chemometrics, Institute of Chemistry, Federal University of Rio Grande of Norte, Natal 59072-970, RN-Brazil.
| | - Kássio M G Lima
- Biological Chemistry and Chemometrics, Institute of Chemistry, Federal University of Rio Grande of Norte, Natal 59072-970, RN-Brazil.
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Li L, Bi X, Sun H, Liu S, Yu M, Zhang Y, Weng S, Yang L, Bao Y, Wu J, Xu Y, Shen K. Characterization of ovarian cancer cells and tissues by Fourier transform infrared spectroscopy. J Ovarian Res 2018; 11:64. [PMID: 30071867 PMCID: PMC6090913 DOI: 10.1186/s13048-018-0434-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Accepted: 07/18/2018] [Indexed: 12/31/2022] Open
Abstract
Background Ovarian cancer is the most lethal of gynecological malignancies. Fourier Transform Infrared (FTIR) spectroscopy has gradually developed as a convenient, inexpensive and non-destructive technique for the study of many diseases. In this study, FTIR spectra of normal and several heterogeneous ovarian cancer cell lines as well as ovarian cancer tissue samples were compared in the spectral region of 4000 cm− 1 - 600 cm− 1. Methods Cell samples were collected from human ovarian surface epithelial cell line (HOSEpiC) and five ovarian cancer cell lines (ES2, A2780, OVCAR3, SKOV3 and IGROV1). Validation spectra were performed on normal and cancerous tissue samples from 12 ovarian cancer patients. FTIR spectra were collected from a NICOLET iN10 MX spectrometer and the spectral data were analyzed by OMNIC 8.0 software. Results Spectral features discriminating malignant tissues from normal tissues were integrated by cell line data and tissue data. In particular changes in cancerous tissues, the decrease in the amount of lipids and nucleic acids were observed. Protein conformation and composition were also altered in some cancer cells. The band intensity ratio of 1454/1400 was higher in normal cells/tissues and lower in cancer cells/tissues. Conclusion The spectral features revealed the important molecular characteristics about ovarian cancer cells/tissues. These findings demonstrate the possible diagnostic use of FTIR spectroscopy, providing the research model and evidences, and supporting the future study on more tissue samples to establish a data bank of spectra features for the possible discrimination of ovarian cancers.
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Affiliation(s)
- Lei Li
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Xiaoning Bi
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Hengzi Sun
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Simiao Liu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Mei Yu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Ying Zhang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China
| | - Shifu Weng
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, No. 202 Chengfu Road, Haidian District, Beijing, 100871, China
| | - Limin Yang
- State Key Laboratory of Nuclear Physics and Technology, Institute of Heavy Ion Physics, School of Physics, Peking University, No. 202 Chengfu Road, Haidian District, Beijing, 100871, China
| | - Yanan Bao
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, No. 202 Chengfu Road, Haidian District, Beijing, 100871, China
| | - Jinguang Wu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, No. 202 Chengfu Road, Haidian District, Beijing, 100871, China
| | - Yizhuang Xu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, No. 202 Chengfu Road, Haidian District, Beijing, 100871, China.
| | - Keng Shen
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuai Fu Yuan, Eastern District, Beijing, 100730, China.
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5
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Ashtarinezhad A, Panahyab A, Shaterzadeh-Oskouei S, Khoshniat H, Mohamadzadehasl B, Shirazi FH. Teratogenic study of phenobarbital and levamisole on mouse fetus liver tissue using biospectroscopy. J Pharm Biomed Anal 2016; 128:174-183. [DOI: 10.1016/j.jpba.2016.05.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Revised: 05/08/2016] [Accepted: 05/09/2016] [Indexed: 10/21/2022]
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Theophilou G, Lima KMG, Martin-Hirsch PL, Stringfellow HF, Martin FL. ATR-FTIR spectroscopy coupled with chemometric analysis discriminates normal, borderline and malignant ovarian tissue: classifying subtypes of human cancer. Analyst 2016; 141:585-594. [DOI: 10.1039/c5an00939a] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Abstract
Spectrochemical discrimination of ovarian cancer.
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Affiliation(s)
| | | | | | - Helen F. Stringfellow
- Department of Obstetrics and Gynaecology
- Central Lancashire Teaching Hospitals NHS Foundation Trust
- Preston
- UK
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7
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Obinaju BE, Graf C, Halsall C, Martin FL. Linking biochemical perturbations in tissues of the African catfish to the presence of polycyclic aromatic hydrocarbons in Ovia River, Niger Delta region. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2015; 201:42-9. [PMID: 25765972 DOI: 10.1016/j.envpol.2015.02.031] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2015] [Revised: 02/13/2015] [Accepted: 02/15/2015] [Indexed: 05/28/2023]
Abstract
Petroleum hydrocarbons including polycyclic aromatic hydrocarbons (PAHs) are a pollution issue in the Niger Delta region due to oil industry activities. PAHs were measured in the water column of the Ovia River with concentrations ranging from 0.1 to 1055.6 ng L(-1). Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy detected alterations in tissues of the African catfish (Heterobranchus bidorsalis) from the region showed varying degrees of statistically significant (P<0.0001, P<0.001, P<0.05) changes to absorption band areas and shifts in centroid positions of peaks. Alteration patterns were similar to those induced by benzo[a]pyrene in MCF-7 cells. These findings have potential health implications for resident local communities as H. bidorsalis constitutes a key nutritional source. The study provides supporting evidence for the sensitivity of infrared spectroscopy in environmental studies and supports their potential application in biomonitoring.
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Affiliation(s)
- Blessing E Obinaju
- Lancaster Environment Centre, Lancaster University, Bailrigg, Lancaster LA1 4YQ, UK
| | - Carola Graf
- Lancaster Environment Centre, Lancaster University, Bailrigg, Lancaster LA1 4YQ, UK
| | - Crispin Halsall
- Lancaster Environment Centre, Lancaster University, Bailrigg, Lancaster LA1 4YQ, UK
| | - Francis L Martin
- Lancaster Environment Centre, Lancaster University, Bailrigg, Lancaster LA1 4YQ, UK.
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8
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Owens GL, Gajjar K, Trevisan J, Fogarty SW, Taylor SE, Da Gama-Rose B, Martin-Hirsch PL, Martin FL. Vibrational biospectroscopy coupled with multivariate analysis extracts potentially diagnostic features in blood plasma/serum of ovarian cancer patients. JOURNAL OF BIOPHOTONICS 2014; 7:200-9. [PMID: 24259229 DOI: 10.1002/jbio.201300157] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2013] [Revised: 10/28/2013] [Accepted: 11/04/2013] [Indexed: 05/06/2023]
Abstract
Despite numerous advances in "omics" research, early detection of ovarian cancer still remains a challenge. The aim of this study was to determine whether attenuated total reflection Fourier-transform infrared (ATR-FTIR) or Raman spectroscopy could characterise alterations in the biomolecular signatures of human blood plasma/serum obtained from ovarian cancer patients compared to non-cancer controls. Blood samples isolated from ovarian cancer patients (n = 30) and healthy controls (n = 30) were analysed using ATR-FTIR spectroscopy. For comparison, a smaller cohort of samples (n = 8) were analysed using an InVia Renishaw Raman spectrometer. Resultant spectra were pre-processed prior to being inputted into principal component analysis (PCA) and linear discriminant analysis (LDA). Statistically significant differences (P < 0.001) were observed between spectra of ovarian cancer versus control subjects for both biospectroscopy methods. Using a support vector machine classifier for Raman spectra of blood plasma, a diagnostic accuracy of 74% was achieved, while the same classifier showed 93.3% accuracy for IR spectra of blood plasma. These observations suggest that a biospectroscopy approach could be applied to identify spectral alterations associated with the presence of insidious ovarian cancer.
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Affiliation(s)
- Gemma L Owens
- Centre for Biophotonics, Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK; Department of Obstetrics and Gynaecology, Central Lancashire Teaching Hospitals, Preston, UK
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9
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Travo A, Paya C, Déléris G, Colin J, Mortemousque B, Forfar I. Potential of FTIR spectroscopy for analysis of tears for diagnosis purposes. Anal Bioanal Chem 2014; 406:2367-76. [DOI: 10.1007/s00216-013-7607-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2013] [Revised: 12/20/2013] [Accepted: 12/29/2013] [Indexed: 01/24/2023]
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10
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Ahmadzai AA, Patel II, Veronesi G, Martin-Hirsch PL, Llabjani V, Cotte M, Stringfellow HF, Martin FL. Determination using synchrotron radiation-based Fourier transform infrared microspectroscopy of putative stem cells in human adenocarcinoma of the intestine: corresponding benign tissue as a template. APPLIED SPECTROSCOPY 2014; 68:812-822. [PMID: 25061782 DOI: 10.1366/13-07016] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
The epithelial-cell layer lining the two morphologically and functionally distinct segments of the mammalian intestinal tract, small intestine, and colon is constantly being renewed. This renewal is necessitated by a harsh lumen environment and is hypothesized to be driven by a small population of stem cells (SCs) that are believed to reside at the base of intestinal crypts. A lack of specific markers has hampered previous attempts to identify their exact location. We obtained tissue sections containing small intestine and colon crypts derived from normal (benign) or adenocarcinoma (AC) human intestine. The samples were floated onto BaF2 windows and analyzed using synchrotron radiation-based Fourier transform infrared microspectroscopy via an aperture size of 10 × 10 μm. Derived infrared (IR) spectral data was then analyzed using principal component analysis and/or linear discriminant analysis. Hypothesized cell types (as a function of aperture location along the length of individual crypts) within benign crypts were classed based on exploratory unsupervised IR spectral point clustering. Scores plots derived from individual small intestine crypts consistently generated one or two distinct spectra that clustered away from the remaining cell categories; these were retrospectively classed as "distinct base region" spectra. In these plots, a clear progression of locations along crypt lengths designated as from putative stem cells (SCs) to transit-amplifying (TA) cells to terminally differentiated (TD) cells was observed in benign small intestine and colon crypts. This progression of spectral points was crypt specific, pointing away from a unifying cell lineage model in human intestinal crypts. On comparison of AC-derived spectra versus corresponding benign, a subpopulation of AC-derived spectra suggested a putative SC-like spectral fingerprint; remaining IR spectra were classed as exhibiting TA cell-like or TD cell-like spectral characteristics. These observations could point to a cancer SC phenotype; an approach capable of identifying their in situ location has enormous therapeutic applications.
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Affiliation(s)
- Abdullah A Ahmadzai
- Centre for Biophotonics, Lancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK
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11
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Obinaju BE, Martin FL. Novel biospectroscopy sensor technologies towards environmental health monitoring in urban environments. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2013; 183:46-53. [PMID: 23257285 DOI: 10.1016/j.envpol.2012.11.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2012] [Revised: 11/15/2012] [Accepted: 11/18/2012] [Indexed: 06/01/2023]
Abstract
Biospectroscopy is an emerging inter-disciplinary field that exploits the application of sensor technologies [e.g., Fourier-transform infrared spectroscopy, Raman spectroscopy] to lend novel insights into biological questions. Methods involved are relatively non-destructive so samples can subsequently be analysed by more conventional approaches, facilitating deeper mechanistic insights. Fingerprint spectra are derived and these consist of wavenumber-absorbance intensities; within a typical biological experiment, a complex dataset is quickly generated. Biological samples range from biofluids to cytology to tissues derived from human or sentinel sources, and analyses can be carried out ex vivo or in situ in living tissue. A reference range of a designated normal state can be derived; anything outside this is potentially atypical and discriminating chemical entities identified. Computational approaches allow one to minimize within-category confounding factors. Because of ease of sample preparation, low-cost and high-throughput capability, biospectroscopy approaches herald a new greener means of environmental health monitoring in urban environments.
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Affiliation(s)
- Blessing E Obinaju
- Centre for Biophotonics, Lancaster Environment Centre, Lancaster University, Bailrigg, Lancaster LA1 4YQ, UK
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12
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Wood BR, Kiupel M, McNaughton D. Progress in Fourier Transform Infrared Spectroscopic Imaging Applied to Venereal Cancer Diagnosis. Vet Pathol 2013; 51:224-37. [DOI: 10.1177/0300985813501340] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Fourier transform infrared imaging spectroscopy is a powerful technique that provides molecular and spatial information at the single-cell level. We report on the progress of this technology in the field of cancer research, focusing on human cervical cancer because of the inherent difficulty in grading this type of cancer and as a model for venereal cancers in dogs. Using a suite of multivariate imaging processing techniques, we demonstrate the potential of this technique to identify histologic features in the normal epithelium and cervical intraepithelial neoplasia stages I and III. We highlight the advantages and detail the barriers that need to be overcome before implementation of this technology in the clinical environment.
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Affiliation(s)
- B. R. Wood
- Centre for Biospectroscopy, School of Chemistry, Monash University, Victoria, Australia
| | - M. Kiupel
- Department of Pathobiology and Diagnostic Investigation, Diagnostic Center for Population and Animal Health, Michigan State University, East Lansing, USA
| | - D. McNaughton
- Centre for Biospectroscopy, School of Chemistry, Monash University, Victoria, Australia
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13
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Pallua JD, Pezzei C, Zelger B, Schaefer G, Bittner LK, Huck-Pezzei VA, Schoenbichler SA, Hahn H, Kloss-Brandstaetter A, Kloss F, Bonn GK, Huck CW. Fourier transform infrared imaging analysis in discrimination studies of squamous cell carcinoma. Analyst 2012; 137:3965-74. [PMID: 22792538 DOI: 10.1039/c2an35483g] [Citation(s) in RCA: 50] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Oral squamous cell carcinoma (OSCC) of the oral cavity and oropharynx represents more than 95% of all malignant neoplasms in the oral cavity. Histomorphological evaluation of this cancer type is invasive and remains a time consuming and subjective technique. Therefore, novel approaches for histological recognition are necessary to identify malignancy at an early stage. Fourier transform infrared (FTIR) imaging has become an essential tool for the detection and characterization of the molecular components of biological processes, such as those responsible for the dynamic properties of tumor progression. FTIR imaging is a modern analytical technique enabling molecular imaging of a complex biological sample and is based on the absorption of IR radiation by vibrational transitions in covalent bonds. One major advantage of this technique is the acquisition of local molecular expression profiles, while maintaining the topographic integrity of the tissue and avoiding time-consuming extraction, purification, and separation steps. With this imaging technique, it is possible to obtain unique images of the spatial distribution of proteins, lipids, carbohydrates, cholesterols, nucleic acids, phospholipids, and small molecules with high spatial resolution. Analysis and visualization of FTIR imaging datasets are challenging and the use of chemometric tools is crucial in order to take advantage of the full measurement. Therefore, methodologies for this task based on the novel developed algorithm for multivariate image analysis (MIA) are often necessary. In the present study, FTIR imaging and data analysis methods were combined to optimize the tissue measurement mode after deparaffinization and subsequent data evaluation (univariate analysis and MIAs). We demonstrate that it is possible to collect excellent IR spectra from formalin-fixed paraffin-embedded (FFPE) tissue microarrays (TMAs) of OSCC tissue sections employing an optimised analytical protocol. The correlation of FTIR imaging to the morphological tissue features obtained by histological staining of the sections demonstrated that many histomorphological tissue patterns can be visualized in the colour images. The different algorithms used for MIAs of FTIR imaging data dramatically increased the information content of the IR images from squamous cell tissue sections. These findings indicate that intra-operative and surgical specimens of squamous cell carcinoma tissue can be characterized by FTIR imaging.
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Affiliation(s)
- J D Pallua
- Institute of Analytical Chemistry and Radiochemistry, CCB-Center for Chemistry and Biomedicine, Leopold-Franzens University, Innrain 80-82-52a, 6020 Innsbruck, Austria
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14
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Pang W, Li J, Ahmadzai AA, Heppenstall LD, Llabjani V, Trevisan J, Qiu X, Martin FL. Identification of benzo[a]pyrene-induced cell cycle-associated alterations in MCF-7 cells using infrared spectroscopy with computational analysis. Toxicology 2012; 298:24-9. [PMID: 22561278 DOI: 10.1016/j.tox.2012.04.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2012] [Revised: 04/06/2012] [Accepted: 04/19/2012] [Indexed: 01/03/2023]
Abstract
Chemical contaminants, such as benzo[a]pyrene (B[a]P), may modulate transcriptional responses in cells via the activation of aryl hydrocarbon receptor (AhR) or through responses to DNA damage following adduct formation. Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy can be employed in a non-destructive fashion to interrogate the biochemical signature of cells via generation of infrared (IR) spectra. By applying to generated spectral datasets subsequent computational approaches such as principal component analysis plus linear discriminant analysis (PCA-LDA), derived data reduction is achieved to facilitate the visualization of wavenumber-related alterations in target cells. Discriminating spectral variables might be associated with lipid or glycogen content, conformational protein changes and phosphorylation, and structural alterations in DNA/RNA. Using this approach, we investigated the dose-related effects of B[a]P in MCF-7 cells concentrated in S- or G₀/G₁-phase. Our findings identified that in PCA-LDA scores plots a clear segregation of IR spectra was evident, with the major spectral alterations associated with DNA/RNA, secondary protein structure and lipid. Dose-related effects were observed and even with exposures as low as 10⁻⁹ M B[a]P, significant (P ≤ 0.001) separation of B[a]P-treated vs. vehicle control cells was noted. ATR-FTIR spectroscopy with computational analysis is a novel approach to identify the effects of environmental contaminants in target cells.
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Affiliation(s)
- Weiyi Pang
- The School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, PR China
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15
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Patel II, Trevisan J, Evans G, Llabjani V, Martin-Hirsch PL, Stringfellow HF, Martin FL. High contrast images of uterine tissue derived using Raman microspectroscopy with the empty modelling approach of multivariate curve resolution-alternating least squares. Analyst 2011; 136:4950-9. [DOI: 10.1039/c1an15717e] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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