Design and feasibility of a novel program of cervical screening in Nigeria: self-sampled HPV testing paired with visual triage.

Automated visual evaluation Cervical screening HPV Self-sampling Triage

Journal

Infectious agents and cancer
ISSN: 1750-9378
Titre abrégé: Infect Agent Cancer
Pays: England
ID NLM: 101276559

Informations de publication

Date de publication:
2020
Historique:
received: 28 07 2020
accepted: 22 09 2020
entrez: 19 10 2020
pubmed: 20 10 2020
medline: 20 10 2020
Statut: epublish

Résumé

Accelerated global control of cervical cancer would require primary prevention with human papillomavirus (HPV) vaccination in addition to novel screening program strategies that are simple, inexpensive, and effective. We present the feasibility and outcome of a community-based HPV self-sampled screening program. In Ile Ife, Nigeria, 9406 women aged 30-49 years collected vaginal self-samples, which were tested for HPV in the local study laboratory using Hybrid Capture-2 (HC2) (Qiagen). HPV-positive women were referred to the colposcopy clinic. Gynecologist colposcopic impression dictated immediate management; biopsies were taken when definite acetowhitening was present to produce a histopathologic reference standard of precancer (and to determine final clinical management). Retrospective linkage to the medical records identified 442 of 9406 women living with HIV (WLWH). With self-sampling, it was possible to screen more than 100 women per day per clinic. Following an audio-visual presentation and in-person instructions, overall acceptability of self-sampling was very high (81.2% women preferring self-sampling over clinician collection). HPV positivity was found in 17.3% of women. Intensive follow-up contributed to 85.9% attendance at the colposcopy clinic. Of those referred, 8.2% were initially treated with thermal ablation and 5.6% with large loop excision of transformation zone (LLETZ). Full visibility of the squamocolumnar junction, necessary for optimal visual triage and ablation, declined from 68.5% at age 30 to 35.4% at age 49. CIN2+ and CIN3+ (CIN- Cervical intraepithelial neoplasia), including five cancers, were identified by histology in 5.9 and 3.2% of the HPV-positive women, respectively (0.9 and 0.5% of the total screening population), leading to additional treatment as indicated. The prevalences of HPV infection and CIN2+ were substantially higher (40.5 and 2.5%, respectively) among WLWH. Colposcopic impression led to over- and under-treatment compared to the histopathology reference standard. A cervical cancer screening program using self-sampled HPV testing, with colposcopic immediate management of women positive for HPV, proved feasible in Nigeria. Based on the collected specimens and images, we are now evaluating the use of a combination of partial HPV typing and automated visual evaluation (AVE) of cervical images to improve the accuracy of the screening program.

Sections du résumé

BACKGROUND BACKGROUND
Accelerated global control of cervical cancer would require primary prevention with human papillomavirus (HPV) vaccination in addition to novel screening program strategies that are simple, inexpensive, and effective. We present the feasibility and outcome of a community-based HPV self-sampled screening program.
METHODS METHODS
In Ile Ife, Nigeria, 9406 women aged 30-49 years collected vaginal self-samples, which were tested for HPV in the local study laboratory using Hybrid Capture-2 (HC2) (Qiagen). HPV-positive women were referred to the colposcopy clinic. Gynecologist colposcopic impression dictated immediate management; biopsies were taken when definite acetowhitening was present to produce a histopathologic reference standard of precancer (and to determine final clinical management). Retrospective linkage to the medical records identified 442 of 9406 women living with HIV (WLWH).
RESULTS RESULTS
With self-sampling, it was possible to screen more than 100 women per day per clinic. Following an audio-visual presentation and in-person instructions, overall acceptability of self-sampling was very high (81.2% women preferring self-sampling over clinician collection). HPV positivity was found in 17.3% of women. Intensive follow-up contributed to 85.9% attendance at the colposcopy clinic. Of those referred, 8.2% were initially treated with thermal ablation and 5.6% with large loop excision of transformation zone (LLETZ). Full visibility of the squamocolumnar junction, necessary for optimal visual triage and ablation, declined from 68.5% at age 30 to 35.4% at age 49. CIN2+ and CIN3+ (CIN- Cervical intraepithelial neoplasia), including five cancers, were identified by histology in 5.9 and 3.2% of the HPV-positive women, respectively (0.9 and 0.5% of the total screening population), leading to additional treatment as indicated. The prevalences of HPV infection and CIN2+ were substantially higher (40.5 and 2.5%, respectively) among WLWH. Colposcopic impression led to over- and under-treatment compared to the histopathology reference standard.
CONCLUSION CONCLUSIONS
A cervical cancer screening program using self-sampled HPV testing, with colposcopic immediate management of women positive for HPV, proved feasible in Nigeria. Based on the collected specimens and images, we are now evaluating the use of a combination of partial HPV typing and automated visual evaluation (AVE) of cervical images to improve the accuracy of the screening program.

Identifiants

pubmed: 33072178
doi: 10.1186/s13027-020-00324-5
pii: 324
pmc: PMC7556552
doi:

Types de publication

Journal Article

Langues

eng

Pagination

60

Informations de copyright

© The Author(s) 2020.

Déclaration de conflit d'intérêts

Competing interestsThe HC2 test kits were donated by Qiagen. The OncoE6 test kits were donated by Arborvitae. The MobileODT EVA system devices and data management software were donated by MobileODT. None of the companies had any role in design, analysis, interpretation, and finalization of the manuscript.

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Auteurs

Kanan T Desai (KT)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, USA.
Oak Ridge Institute of Science and Education, Oak Ridge, USA.

Kayode O Ajenifuja (KO)

Department of Obstetrics and Gynecology, Obafemi Awolowo University Teaching Hospital, Ile Ife, Nigeria.

Adekunbiola Banjo (A)

Lagos University Teaching Hospital, Lagos, Nigeria.

Clement A Adepiti (CA)

Department of Obstetrics and Gynecology, Obafemi Awolowo University Teaching Hospital, Ile Ife, Nigeria.

Akiva Novetsky (A)

Rutgers New Jersey Medical School and Cancer Institute of New Jersey (CINJ), Newark, USA.

Cathy Sebag (C)

Hela Health, Tel Aviv, Israel.

Mark H Einstein (MH)

Rutgers New Jersey Medical School and Cancer Institute of New Jersey (CINJ), Newark, USA.

Temitope Oyinloye (T)

Department of Obstetrics and Gynecology, Obafemi Awolowo University Teaching Hospital, Ile Ife, Nigeria.

Tamara R Litwin (TR)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, USA.

Matt Horning (M)

Global Health Labs, Bellevue, USA.

Fatai Olatunde Olanrewaju (FO)

Department of Obstetrics and Gynecology, Obafemi Awolowo University Teaching Hospital, Ile Ife, Nigeria.

Mufutau Muphy Oripelaye (MM)

Department of Obstetrics and Gynecology, Obafemi Awolowo University Teaching Hospital, Ile Ife, Nigeria.

Esther Afolabi (E)

Department of Obstetrics and Gynecology, Obafemi Awolowo University Teaching Hospital, Ile Ife, Nigeria.

Oluwole O Odujoko (OO)

Department of Obstetrics and Gynecology, Obafemi Awolowo University Teaching Hospital, Ile Ife, Nigeria.

Philip E Castle (PE)

Albert Einstein College of Medicine, New York City, USA.

Sameer Antani (S)

National Library of Medicine, NIH, Bethesda, USA.

Ben Wilson (B)

Global Health Labs, Bellevue, USA.

Liming Hu (L)

Global Health Labs, Bellevue, USA.

Courosh Mehanian (C)

Global Health Labs, Bellevue, USA.

Maria Demarco (M)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, USA.

Julia C Gage (JC)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, USA.

Zhiyun Xue (Z)

National Library of Medicine, NIH, Bethesda, USA.

Leonard R Long (LR)

National Library of Medicine, NIH, Bethesda, USA.

Li Cheung (L)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, USA.

Didem Egemen (D)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, USA.

Nicolas Wentzensen (N)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, USA.

Mark Schiffman (M)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, USA.

Classifications MeSH