Literature DB >> 16713674

IR microspectroscopy: potential applications in cervical cancer screening.

Michael J Walsh1, Matthew J German, Maneesh Singh, Hubert M Pollock, Azzedine Hammiche, Maria Kyrgiou, Helen F Stringfellow, Evangelos Paraskevaidis, Pierre L Martin-Hirsch, Francis L Martin.   

Abstract

Screening exfoliative cytology for early dysplastic cells reduces incidence and mortality from squamous carcinoma of the cervix. In the developed world, screening programmes have adopted a 3-5 years recall system. In its absence, cervical cancer would be the second most common female cancer in these regions; instead, it is currently eleventh. However, there exist a number of limitations to the smear test even given the removal of contaminants using liquid-based cytology. It is prohibitively expensive, labour-intensive and subject to inaccuracies that give rise to significant numbers of false negatives. There remains a need for novel approaches to allow efficient and objective interrogation of exfoliative cytology. Methods that variously exploit infrared (IR) microspectroscopy are one possibility. Using IR microspectroscopy, an integrated 'biochemical-cell fingerprint' of the lipid, protein and carbohydrate composition of a biomolecular entity may be derived in the form of a spectrum via vibrational transitions of individual chemical bonds. Powerful statistical approaches (e.g. principal component analysis) now facilitate the interrogation of large amounts of spectroscopic data to allow the extraction of what may be small but extremely significant biomarker differences between disease-free and pre-malignant or malignant samples. An increasing wealth of literature points to the ability of IR microspectroscopy to allow the segregation of cells based on their disease status. We review the current evidence supporting its diagnostic potential in cancer biology.

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Year:  2006        PMID: 16713674     DOI: 10.1016/j.canlet.2006.03.019

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  19 in total

Review 1.  From structure to cellular mechanism with infrared microspectroscopy.

Authors:  Lisa M Miller; Paul Dumas
Journal:  Curr Opin Struct Biol       Date:  2010-08-24       Impact factor: 6.809

2.  Distinguishing cell types or populations based on the computational analysis of their infrared spectra.

Authors:  Francis L Martin; Jemma G Kelly; Valon Llabjani; Pierre L Martin-Hirsch; Imran I Patel; Júlio Trevisan; Nigel J Fullwood; Michael J Walsh
Journal:  Nat Protoc       Date:  2010-10-07       Impact factor: 13.491

3.  Infrared spectroscopy and microscopy in cancer research and diagnosis.

Authors:  Giuseppe Bellisola; Claudio Sorio
Journal:  Am J Cancer Res       Date:  2011-11-22       Impact factor: 6.166

4.  Application of metasurface-enhanced infra-red spectroscopy to distinguish between normal and cancerous cell types.

Authors:  G Kelp; N Arju; A Lee; E Esquivel; R Delgado; Y Yu; S Dutta-Gupta; K Sokolov; G Shvets
Journal:  Analyst       Date:  2019-01-31       Impact factor: 4.616

5.  Cell transformation assays for prediction of carcinogenic potential: state of the science and future research needs.

Authors:  Stuart Creton; Marilyn J Aardema; Paul L Carmichael; James S Harvey; Francis L Martin; Robert F Newbold; Michael R O'Donovan; Kamala Pant; Albrecht Poth; Ayako Sakai; Kiyoshi Sasaki; Andrew D Scott; Leonard M Schechtman; Rhine R Shen; Noriho Tanaka; Hemad Yasaei
Journal:  Mutagenesis       Date:  2011-08-17       Impact factor: 3.000

6.  FTIR Microspectroscopy Coupled with Two-Class Discrimination Segregates Markers Responsible for Inter- and Intra-Category Variance in Exfoliative Cervical Cytology.

Authors:  Michael J Walsh; Maneesh N Singh; Helen F Stringfellow; Hubert M Pollock; Azzedine Hammiche; Olaug Grude; Nigel J Fullwood; Mark A Pitt; Pierre L Martin-Hirsch; Francis L Martin
Journal:  Biomark Insights       Date:  2008-03-25

Review 7.  Extracting knowledge from chemical imaging data using computational algorithms for digital cancer diagnosis.

Authors:  Saumya Tiwari; Rohit Bhargava
Journal:  Yale J Biol Med       Date:  2015-06-01

8.  A biospectroscopic analysis of human prostate tissue obtained from different time periods points to a trans-generational alteration in spectral phenotype.

Authors:  Georgios Theophilou; Kássio M G Lima; Matthew Briggs; Pierre L Martin-Hirsch; Helen F Stringfellow; Francis L Martin
Journal:  Sci Rep       Date:  2015-08-27       Impact factor: 4.379

9.  Infrared spectroscopy characterization of normal and lung cancer cells originated from epithelium.

Authors:  So Yeong Lee; Kyong Ah Yoon; Soo Hwa Jang; Erdene Ochir Ganbold; Dembereldorj Uuriintuya; Sang Mo Shin; Pan Dong Ryu; Sang Woo Joo
Journal:  J Vet Sci       Date:  2009-12       Impact factor: 1.672

10.  Using Fourier transform IR spectroscopy to analyze biological materials.

Authors:  Matthew J Baker; Júlio Trevisan; Paul Bassan; Rohit Bhargava; Holly J Butler; Konrad M Dorling; Peter R Fielden; Simon W Fogarty; Nigel J Fullwood; Kelly A Heys; Caryn Hughes; Peter Lasch; Pierre L Martin-Hirsch; Blessing Obinaju; Ganesh D Sockalingum; Josep Sulé-Suso; Rebecca J Strong; Michael J Walsh; Bayden R Wood; Peter Gardner; Francis L Martin
Journal:  Nat Protoc       Date:  2014-07-03       Impact factor: 13.491

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