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A spectral phenotype of oncogenic human papillomavirus-infected exfoliative cervical cytology distinguishes women based on age

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A spectral phenotype of oncogenic human papillomavirus-infected exfoliative cervical cytology distinguishes women based on age. / Kerns, Jemma; Cheung, Karen T.; Martin, Cara; O'Leary, John J.; Prendiville, Walter; Martin-Hirsch, Pierre L.; Martin, Francis L.

In: Clinica Chimica Acta, Vol. 411, No. 15-16, 05.08.2010, p. 1027-1033.

Research output: Contribution to journalJournal article

Harvard

Kerns, J, Cheung, KT, Martin, C, O'Leary, JJ, Prendiville, W, Martin-Hirsch, PL & Martin, FL 2010, 'A spectral phenotype of oncogenic human papillomavirus-infected exfoliative cervical cytology distinguishes women based on age', Clinica Chimica Acta, vol. 411, no. 15-16, pp. 1027-1033. https://doi.org/10.1016/j.cca.2010.03.029

APA

Kerns, J., Cheung, K. T., Martin, C., O'Leary, J. J., Prendiville, W., Martin-Hirsch, P. L., & Martin, F. L. (2010). A spectral phenotype of oncogenic human papillomavirus-infected exfoliative cervical cytology distinguishes women based on age. Clinica Chimica Acta, 411(15-16), 1027-1033. https://doi.org/10.1016/j.cca.2010.03.029

Vancouver

Kerns J, Cheung KT, Martin C, O'Leary JJ, Prendiville W, Martin-Hirsch PL et al. A spectral phenotype of oncogenic human papillomavirus-infected exfoliative cervical cytology distinguishes women based on age. Clinica Chimica Acta. 2010 Aug 5;411(15-16):1027-1033. https://doi.org/10.1016/j.cca.2010.03.029

Author

Kerns, Jemma ; Cheung, Karen T. ; Martin, Cara ; O'Leary, John J. ; Prendiville, Walter ; Martin-Hirsch, Pierre L. ; Martin, Francis L. / A spectral phenotype of oncogenic human papillomavirus-infected exfoliative cervical cytology distinguishes women based on age. In: Clinica Chimica Acta. 2010 ; Vol. 411, No. 15-16. pp. 1027-1033.

Bibtex

@article{3ba6b1dcba464b5fa9d6cbd3768330d0,
title = "A spectral phenotype of oncogenic human papillomavirus-infected exfoliative cervical cytology distinguishes women based on age",
abstract = "BACKGROUND: Human papillomavirus (HPV) is a sexually-transmitted infection associated with cervical cancer. Of over 100 HPV types identified, 13 are high-risk oncogenic. In unvaccinated women worldwide, the incidence of cervical cancer from HPV16 and HPV18 will remain. Cervical cytology can be graded from normal (atypia-free) to low-grade to high-grade. Infrared (IR) spectroscopy is a non-destructive technique that allows the acquisition of a biochemical-cell fingerprint based on vibrational states of chemical bonds.METHODS: Exfoliative cervical cytology specimens (n=147) were retrieved, graded by a cytologist and HPV-tested/genotyped using hybrid capture 2 and the Roche HPV Linear Array. Additionally, the spectral signatures of cervical cell lines C33A, HeLa and SiHa were examined. After washing, cellular material was transferred to low-E glass slides and interrogated using attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy. Given the complex nature of the dataset consisting of thousands of variables (wavenumbers), we used multivariate analysis for data reduction and information retrieval. Principal component analysis coupled with linear discriminant analysis (PCA-LDA) generated a visual representation of the data (scores plot) and, identification of the wavenumbers and consequent biochemical entities responsible for segregation (loadings plot).RESULTS: Immortalised cell lines were readily distinguishable from each other. It was difficult to segregate categories of cytology associated with HPV infection types. However, in low-grade cytology infected with high-risk oncogenic HPV16 or HPV18, it was possible to segregate women based on whether they were aged 20-29years vs. 30-39years.CONCLUSIONS: Our findings suggest a spectral phenotype in exfoliative cervical cytology associated with transient vs. persistent HPV infection.",
keywords = "Adult, Age Factors, Aged, Aging, Cell Line, Tumor, Cervix Uteri, Discriminant Analysis, Female, Human papillomavirus 16, Human papillomavirus 18, Humans, Middle Aged, Papillomavirus Infections, Phenotype, Principal Component Analysis, Spectroscopy, Fourier Transform Infrared, Young Adult",
author = "Jemma Kerns and Cheung, {Karen T.} and Cara Martin and O'Leary, {John J.} and Walter Prendiville and Martin-Hirsch, {Pierre L.} and Martin, {Francis L.}",
note = "Copyright 2010 Elsevier B.V. All rights reserved.",
year = "2010",
month = aug
day = "5",
doi = "10.1016/j.cca.2010.03.029",
language = "English",
volume = "411",
pages = "1027--1033",
journal = "Clinica Chimica Acta",
issn = "0009-8981",
publisher = "Elsevier",
number = "15-16",

}

RIS

TY - JOUR

T1 - A spectral phenotype of oncogenic human papillomavirus-infected exfoliative cervical cytology distinguishes women based on age

AU - Kerns, Jemma

AU - Cheung, Karen T.

AU - Martin, Cara

AU - O'Leary, John J.

AU - Prendiville, Walter

AU - Martin-Hirsch, Pierre L.

AU - Martin, Francis L.

N1 - Copyright 2010 Elsevier B.V. All rights reserved.

PY - 2010/8/5

Y1 - 2010/8/5

N2 - BACKGROUND: Human papillomavirus (HPV) is a sexually-transmitted infection associated with cervical cancer. Of over 100 HPV types identified, 13 are high-risk oncogenic. In unvaccinated women worldwide, the incidence of cervical cancer from HPV16 and HPV18 will remain. Cervical cytology can be graded from normal (atypia-free) to low-grade to high-grade. Infrared (IR) spectroscopy is a non-destructive technique that allows the acquisition of a biochemical-cell fingerprint based on vibrational states of chemical bonds.METHODS: Exfoliative cervical cytology specimens (n=147) were retrieved, graded by a cytologist and HPV-tested/genotyped using hybrid capture 2 and the Roche HPV Linear Array. Additionally, the spectral signatures of cervical cell lines C33A, HeLa and SiHa were examined. After washing, cellular material was transferred to low-E glass slides and interrogated using attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy. Given the complex nature of the dataset consisting of thousands of variables (wavenumbers), we used multivariate analysis for data reduction and information retrieval. Principal component analysis coupled with linear discriminant analysis (PCA-LDA) generated a visual representation of the data (scores plot) and, identification of the wavenumbers and consequent biochemical entities responsible for segregation (loadings plot).RESULTS: Immortalised cell lines were readily distinguishable from each other. It was difficult to segregate categories of cytology associated with HPV infection types. However, in low-grade cytology infected with high-risk oncogenic HPV16 or HPV18, it was possible to segregate women based on whether they were aged 20-29years vs. 30-39years.CONCLUSIONS: Our findings suggest a spectral phenotype in exfoliative cervical cytology associated with transient vs. persistent HPV infection.

AB - BACKGROUND: Human papillomavirus (HPV) is a sexually-transmitted infection associated with cervical cancer. Of over 100 HPV types identified, 13 are high-risk oncogenic. In unvaccinated women worldwide, the incidence of cervical cancer from HPV16 and HPV18 will remain. Cervical cytology can be graded from normal (atypia-free) to low-grade to high-grade. Infrared (IR) spectroscopy is a non-destructive technique that allows the acquisition of a biochemical-cell fingerprint based on vibrational states of chemical bonds.METHODS: Exfoliative cervical cytology specimens (n=147) were retrieved, graded by a cytologist and HPV-tested/genotyped using hybrid capture 2 and the Roche HPV Linear Array. Additionally, the spectral signatures of cervical cell lines C33A, HeLa and SiHa were examined. After washing, cellular material was transferred to low-E glass slides and interrogated using attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy. Given the complex nature of the dataset consisting of thousands of variables (wavenumbers), we used multivariate analysis for data reduction and information retrieval. Principal component analysis coupled with linear discriminant analysis (PCA-LDA) generated a visual representation of the data (scores plot) and, identification of the wavenumbers and consequent biochemical entities responsible for segregation (loadings plot).RESULTS: Immortalised cell lines were readily distinguishable from each other. It was difficult to segregate categories of cytology associated with HPV infection types. However, in low-grade cytology infected with high-risk oncogenic HPV16 or HPV18, it was possible to segregate women based on whether they were aged 20-29years vs. 30-39years.CONCLUSIONS: Our findings suggest a spectral phenotype in exfoliative cervical cytology associated with transient vs. persistent HPV infection.

KW - Adult

KW - Age Factors

KW - Aged

KW - Aging

KW - Cell Line, Tumor

KW - Cervix Uteri

KW - Discriminant Analysis

KW - Female

KW - Human papillomavirus 16

KW - Human papillomavirus 18

KW - Humans

KW - Middle Aged

KW - Papillomavirus Infections

KW - Phenotype

KW - Principal Component Analysis

KW - Spectroscopy, Fourier Transform Infrared

KW - Young Adult

U2 - 10.1016/j.cca.2010.03.029

DO - 10.1016/j.cca.2010.03.029

M3 - Journal article

C2 - 20359472

VL - 411

SP - 1027

EP - 1033

JO - Clinica Chimica Acta

JF - Clinica Chimica Acta

SN - 0009-8981

IS - 15-16

ER -