Literature DB >> 34117476

Raman spectral cytopathology for cancer diagnostic applications.

Damien Traynor1,2, Isha Behl1,2, Declan O'Dea1,3, Franck Bonnier4, Siobhan Nicholson5, Finbar O'Connell5, Aoife Maguire5, Stephen Flint6, Sheila Galvin6, Claire M Healy6, Cara M Martin7,8,9, John J O'Leary7,8,9, Alison Malkin3, Hugh J Byrne10, Fiona M Lyng11,12,13.   

Abstract

Raman spectroscopy can provide a rapid, label-free, nondestructive measurement of the chemical fingerprint of a sample and has shown potential for cancer screening and diagnosis. Here we report a protocol for Raman microspectroscopic analysis of different exfoliative cytology samples (cervical, oral and lung), covering sample preparation, spectral acquisition, preprocessing and data analysis. The protocol takes 2 h 20 min for sample preparation, measurement and data preprocessing and up to 8 h for a complete analysis. A key feature of the protocol is that it uses the same sample preparation procedure as commonly used in diagnostic cytology laboratories (i.e., liquid-based cytology on glass slides), ensuring compatibility with clinical workflows. Our protocol also covers methods to correct for the spectral contribution of glass and sample pretreatment methods to remove contaminants (such as blood and mucus) that can obscure spectral features in the exfoliated cells and lead to variability. The protocol establishes a standardized clinical routine allowing the collection of highly reproducible data for Raman spectral cytopathology for cancer diagnostic applications for cervical and lung cancer and for monitoring suspicious lesions for oral cancer.

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Year:  2021        PMID: 34117476     DOI: 10.1038/s41596-021-00559-5

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  38 in total

1.  Infrared spectral features of exfoliated cervical cells, cervical adenocarcinoma tissue, and an adenocarcinoma cell line (SiSo).

Authors:  Shanmugam Neviliappan; Lim Fang Kan; Tan Tiang Lee Walter; Sabaratnam Arulkumaran; P T T Wong
Journal:  Gynecol Oncol       Date:  2002-04       Impact factor: 5.482

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

Authors:  Michael J Walsh; 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
Journal:  Biochem Biophys Res Commun       Date:  2006-11-09       Impact factor: 3.575

3.  Detecting structural changes at the molecular level with Fourier transform infrared spectroscopy. A potential tool for prescreening preinvasive lesions of the cervix.

Authors:  H M Yazdi; M A Bertrand; P T Wong
Journal:  Acta Cytol       Date:  1996 Jul-Aug       Impact factor: 2.319

Review 4.  Cytology versus HPV testing for cervical cancer screening in the general population.

Authors:  George Koliopoulos; Victoria N Nyaga; Nancy Santesso; Andrew Bryant; Pierre Pl Martin-Hirsch; Reem A Mustafa; Holger Schünemann; Evangelos Paraskevaidis; Marc Arbyn
Journal:  Cochrane Database Syst Rev       Date:  2017-08-10

Review 5.  Clinical applications of infrared and Raman spectroscopy: state of play and future challenges.

Authors:  Matthew J Baker; Hugh J Byrne; John Chalmers; Peter Gardner; Royston Goodacre; Alex Henderson; Sergei G Kazarian; Francis L Martin; Julian Moger; Nick Stone; Josep Sulé-Suso
Journal:  Analyst       Date:  2018-04-16       Impact factor: 4.616

6.  Influence of benign cellular changes in diagnosis of cervical cancer using IR microspectroscopy.

Authors:  Melissa J Romeo; Michael A Quinn; Frank R Burden; Don McNaughton
Journal:  Biopolymers       Date:  2002       Impact factor: 2.505

7.  Spectral cytopathology of cervical samples: detecting cellular abnormalities in cytologically normal cells.

Authors:  Jennifer M Schubert; Benjamin Bird; Kostas Papamarkakis; Milos Miljković; Kristi Bedrossian; Nora Laver; Max Diem
Journal:  Lab Invest       Date:  2010-04-05       Impact factor: 5.662

8.  Infrared spectroscopy of exfoliated human cervical cells: evidence of extensive structural changes during carcinogenesis.

Authors:  P T Wong; R K Wong; T A Caputo; T A Godwin; B Rigas
Journal:  Proc Natl Acad Sci U S A       Date:  1991-12-15       Impact factor: 11.205

Review 9.  Spectropathology for the next generation: quo vadis?

Authors:  Hugh J Byrne; Malgorzata Baranska; Gerwin J Puppels; Nick Stone; Bayden Wood; Kathleen M Gough; Peter Lasch; Phil Heraud; Josep Sulé-Suso; Ganesh D Sockalingum
Journal:  Analyst       Date:  2015-04-07       Impact factor: 4.616

10.  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

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  2 in total

1.  Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN).

Authors:  Damien Traynor; Shiyamala Duraipandian; Ramya Bhatia; Kate Cuschieri; Prerna Tewari; Padraig Kearney; Tom D'Arcy; John J O'Leary; Cara M Martin; Fiona M Lyng
Journal:  Cancers (Basel)       Date:  2022-04-06       Impact factor: 6.639

2.  Diagnostic accuracy of Raman spectroscopy in oral squamous cell carcinoma.

Authors:  Ruiying Han; Nan Lin; Juan Huang; Xuelei Ma
Journal:  Front Oncol       Date:  2022-08-05       Impact factor: 5.738

  2 in total

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