Literature DB >> 17141660

ATR microspectroscopy with multivariate analysis segregates grades of exfoliative cervical cytology.

Michael J Walsh1, Maneesh N Singh, Hubert M Pollock, Leanne J Cooper, Matthew J German, Helen F Stringfellow, Nigel J Fullwood, Evangelos Paraskevaidis, Pierre L Martin-Hirsch, Francis L Martin.   

Abstract

Although cervical cancer screening in the UK has led to reductions in the incidence of invasive disease, this programme remains flawed. We set out to examine the potential of infrared (IR) microspectroscopy to allow the profiling of cellular biochemical constituents associated with disease progression. Attenuated total reflection-Fourier Transform IR (ATR) microspectroscopy was employed to interrogate spectral differences between samples of exfoliative cervical cytology collected into liquid based cytology (LBC). These were histologically characterised as normal (n = 5), low-grade (n = 5), high-grade (n = 5) or severe dyskaryosis (? carcinoma) (n = 5). Examination of resultant spectra was coupled with principal component analysis (PCA) and subsequent linear discriminant analysis (LDA). The interrogation of LBC samples using ATR microspectroscopy with PCA-LDA facilitated the discrimination of different categories of exfoliative cytology and allowed the identification of potential biomarkers of abnormality; these occurred prominently in the IR spectral region 1200 cm(-1) - 950 cm(-1) consisting of carbohydrates, phosphate, and glycogen. Shifts in the centroids of amide I (approximately 1650 cm(-1)) and II (approximately 1530 cm(-1)) absorbance bands, indicating conformational changes to the secondary structure of intracellular proteins and associated with increasing disease progression, were also noted. This work demonstrates the potential of ATR microspectroscopy coupled with multivariate analysis to be an objective alternative to routine cytology.

Entities:  

Mesh:

Year:  2006        PMID: 17141660     DOI: 10.1016/j.bbrc.2006.11.005

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  13 in total

1.  Selecting optimal features from Fourier transform infrared spectroscopy for discrete-frequency imaging.

Authors:  Rupali Mankar; Michael J Walsh; Rohit Bhargava; Saurabh Prasad; David Mayerich
Journal:  Analyst       Date:  2018-02-26       Impact factor: 4.616

2.  Microspectroscopy of spectral biomarkers associated with human corneal stem cells.

Authors:  Takahiro Nakamura; Jemma G Kelly; Júlio Trevisan; Leanne J Cooper; Adam J Bentley; Paul L Carmichael; Andrew D Scott; Marine Cotte; Jean Susini; Pierre L Martin-Hirsch; Shigeru Kinoshita; Nigel J Fullwood; Francis L Martin
Journal:  Mol Vis       Date:  2010-03-06       Impact factor: 2.367

3.  Infrared microspectroscopy identifies biomolecular changes associated with chronic oxidative stress in mammary epithelium and stroma of breast tissues from healthy young women: implications for latent stages of breast carcinogenesis.

Authors:  Imran I Patel; Debra A Shearer; Simon W Fogarty; Nigel J Fullwood; Luca Quaroni; Francis L Martin; Judith Weisz
Journal:  Cancer Biol Ther       Date:  2013-11-01       Impact factor: 4.742

4.  Raman spectral cytopathology for cancer diagnostic applications.

Authors:  Damien Traynor; Isha Behl; Declan O'Dea; Franck Bonnier; Siobhan Nicholson; Finbar O'Connell; Aoife Maguire; Stephen Flint; Sheila Galvin; Claire M Healy; Cara M Martin; John J O'Leary; Alison Malkin; Hugh J Byrne; Fiona M Lyng
Journal:  Nat Protoc       Date:  2021-06-11       Impact factor: 13.491

5.  Infrared spectroscopy with multivariate analysis to interrogate endometrial tissue: a novel and objective diagnostic approach.

Authors:  S E Taylor; K T Cheung; I I Patel; J Trevisan; H F Stringfellow; K M Ashton; N J Wood; P J Keating; P L Martin-Hirsch; F L Martin
Journal:  Br J Cancer       Date:  2011-02-15       Impact factor: 7.640

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.  Histology verification demonstrates that biospectroscopy analysis of cervical cytology identifies underlying disease more accurately than conventional screening: removing the confounder of discordance.

Authors:  Ketan Gajjar; Abdullah A Ahmadzai; George Valasoulis; Júlio Trevisan; Christina Founta; Maria Nasioutziki; Aristotelis Loufopoulos; Maria Kyrgiou; Sofia Melina Stasinou; Petros Karakitsos; Evangelos Paraskevaidis; Bianca Da Gama-Rose; Pierre L Martin-Hirsch; Francis L Martin
Journal:  PLoS One       Date:  2014-01-03       Impact factor: 3.240

9.  Infrared micro-spectral imaging: distinction of tissue types in axillary lymph node histology.

Authors:  Benjamin Bird; Milos Miljkovic; Melissa J Romeo; Jennifer Smith; Nicholas Stone; Michael W George; Max Diem
Journal:  BMC Clin Pathol       Date:  2008-08-29

10.  Perfluoroalkylated Substance Effects in Xenopus laevis A6 Kidney Epithelial Cells Determined by ATR-FTIR Spectroscopy and Chemometric Analysis.

Authors:  Eva Gorrochategui; Sílvia Lacorte; Romà Tauler; Francis L Martin
Journal:  Chem Res Toxicol       Date:  2016-04-25       Impact factor: 3.739

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.