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Characterization of HPV subtypes in invasive cervical cancer in Botswana patients using a pan-pathogen microarray technology

Human papillomavirus (HPV) plays a significant role in the development of cervical cancers in the setting of co-infection with HIV. Botswana has a high prevalence of HIV and cervical cancer. In this study, we investigated the distribution of HPV subtypes in cervical cancer biopsy samples from patien...

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Autores principales: Grover, Surbhi, Seckar, Tyler, Gao, Le, Bhatia, Rohini, Lin, Xiang, Zetola, Nicola, Ramogola-Masire, Doreen, Robertson, Erle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239018/
https://www.ncbi.nlm.nih.gov/pubmed/37209888
http://dx.doi.org/10.1016/j.tvr.2023.200262
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author Grover, Surbhi
Seckar, Tyler
Gao, Le
Bhatia, Rohini
Lin, Xiang
Zetola, Nicola
Ramogola-Masire, Doreen
Robertson, Erle
author_facet Grover, Surbhi
Seckar, Tyler
Gao, Le
Bhatia, Rohini
Lin, Xiang
Zetola, Nicola
Ramogola-Masire, Doreen
Robertson, Erle
author_sort Grover, Surbhi
collection PubMed
description Human papillomavirus (HPV) plays a significant role in the development of cervical cancers in the setting of co-infection with HIV. Botswana has a high prevalence of HIV and cervical cancer. In this study, we investigated the distribution of HPV subtypes in cervical cancer biopsy samples from patients in Botswana using a highly sensitive pan-pathogen microarray technology, PathoChip, to detect both high- (HR-HPV) and low-risk HPV (LR-HPV) subtypes in women living with HIV (WLWH) and women living without HIV. We analyzed samples from 168 patients, of which 73% (n = 123) were WLWH with a median CD4 count of 479.5 cells/μL. Five HR-HPV subtypes were detected in the cohort: HPV 16, 18, 26, 34, and 53. The most prevalent subtypes were HPV 26 (96%) and HPV 34 (92%); 86% of WLWH (n = 106) had co-infection with four or more HR-HPV subtypes compared to 67% (n = 30) of women without HIV (p < 0.01). We detected 66 LR-HPV subtypes among all cervical cancer patients, with HPV 6b and 48 being most prevalent. Notably, signatures for LR-HPV subtypes 10, 41, 90, and 129 were only detected in WLWH. Signal intensity for HPV 18 was significantly weaker in WLWH with CD4 levels ≤200 cells/μL as compared to patients with >200 cells/μL and HIV-negative patients. Although the majority of cervical cancer specimens in this cohort were determined to have multiple HPV infections, the most prevalent HR-HPV subtypes (HPV 26 and HPV34) found in these cervical cancer samples are not covered in the current HPV vaccines. Though no conclusions can be made on the direct carcinogenicity of these subtypes the results do underlie the need for continued screening for prevention of cervical cancer.
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spelling pubmed-102390182023-06-04 Characterization of HPV subtypes in invasive cervical cancer in Botswana patients using a pan-pathogen microarray technology Grover, Surbhi Seckar, Tyler Gao, Le Bhatia, Rohini Lin, Xiang Zetola, Nicola Ramogola-Masire, Doreen Robertson, Erle Tumour Virus Res Full Length Article Human papillomavirus (HPV) plays a significant role in the development of cervical cancers in the setting of co-infection with HIV. Botswana has a high prevalence of HIV and cervical cancer. In this study, we investigated the distribution of HPV subtypes in cervical cancer biopsy samples from patients in Botswana using a highly sensitive pan-pathogen microarray technology, PathoChip, to detect both high- (HR-HPV) and low-risk HPV (LR-HPV) subtypes in women living with HIV (WLWH) and women living without HIV. We analyzed samples from 168 patients, of which 73% (n = 123) were WLWH with a median CD4 count of 479.5 cells/μL. Five HR-HPV subtypes were detected in the cohort: HPV 16, 18, 26, 34, and 53. The most prevalent subtypes were HPV 26 (96%) and HPV 34 (92%); 86% of WLWH (n = 106) had co-infection with four or more HR-HPV subtypes compared to 67% (n = 30) of women without HIV (p < 0.01). We detected 66 LR-HPV subtypes among all cervical cancer patients, with HPV 6b and 48 being most prevalent. Notably, signatures for LR-HPV subtypes 10, 41, 90, and 129 were only detected in WLWH. Signal intensity for HPV 18 was significantly weaker in WLWH with CD4 levels ≤200 cells/μL as compared to patients with >200 cells/μL and HIV-negative patients. Although the majority of cervical cancer specimens in this cohort were determined to have multiple HPV infections, the most prevalent HR-HPV subtypes (HPV 26 and HPV34) found in these cervical cancer samples are not covered in the current HPV vaccines. Though no conclusions can be made on the direct carcinogenicity of these subtypes the results do underlie the need for continued screening for prevention of cervical cancer. Elsevier 2023-05-19 /pmc/articles/PMC10239018/ /pubmed/37209888 http://dx.doi.org/10.1016/j.tvr.2023.200262 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Full Length Article
Grover, Surbhi
Seckar, Tyler
Gao, Le
Bhatia, Rohini
Lin, Xiang
Zetola, Nicola
Ramogola-Masire, Doreen
Robertson, Erle
Characterization of HPV subtypes in invasive cervical cancer in Botswana patients using a pan-pathogen microarray technology
title Characterization of HPV subtypes in invasive cervical cancer in Botswana patients using a pan-pathogen microarray technology
title_full Characterization of HPV subtypes in invasive cervical cancer in Botswana patients using a pan-pathogen microarray technology
title_fullStr Characterization of HPV subtypes in invasive cervical cancer in Botswana patients using a pan-pathogen microarray technology
title_full_unstemmed Characterization of HPV subtypes in invasive cervical cancer in Botswana patients using a pan-pathogen microarray technology
title_short Characterization of HPV subtypes in invasive cervical cancer in Botswana patients using a pan-pathogen microarray technology
title_sort characterization of hpv subtypes in invasive cervical cancer in botswana patients using a pan-pathogen microarray technology
topic Full Length Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239018/
https://www.ncbi.nlm.nih.gov/pubmed/37209888
http://dx.doi.org/10.1016/j.tvr.2023.200262
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