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Risk of high-grade lesions after atypical glandular cells in cervical screening: a population-based cohort study.

ABSTRACT: To determine how human papillomavirus (HPV) positivity of atypical glandular cells (AGCs) affects the predictive values for the presence of high-grade cervical lesions.Population-based cohort study.Stockholm-Gotland region, Sweden.Between 17 February 2014 and 30 June 2016, there were 562 women with AGC detected in a cervical sample. Registry linkages up to 30 June 2016 identified 392 women with an associated HPV test and a histopathological follow-up.Presence of a high-grade cervical lesion in the cervical biopsy taken after the AGC smear, in relation to the HPV status of the AGC-containing index smear.The proportion of HPV-positive AGC was 56% (n=222). In this group, there were six cases of invasive cervical adenocarcinoma, 33 cases of cervical adenocarcinoma in situ and 93 cases of high-grade squamous intraepithelial lesion (HSIL), giving a positive predictive value (PPV) for a cervical high-grade lesion of 60% (132/222). Among the 170 women with HPV-negative AGC, there was one invasive cervical squamous cell cancer and four HSIL, giving an PPV for a cervical high-grade lesion of 2.9% (5/170). This group also contained five endometrial cancers and one breast cancer.HPV triaging of AGC will greatly increase the predictive ability for identifying cervical high-grade lesions (OR: 48.4 (95% CI 19.1 to122.6)) and the high sensitivity (96%; 132/137 women) implies safety of primary HPV screening strategies, with regard to this subset of patients. The measurable risk for endometrial cancer among women with HPV-negative AGC (2.9%) suggests that research on screening for endometrial cancer is needed.

SUBMITTER: Norman I

PROVIDER: S-EPMC5735403 | biostudies-other | 2017 Dec

REPOSITORIES: biostudies-other

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Risk of high-grade lesions after atypical glandular cells in cervical screening: a population-based cohort study.

Norman Ingrid I Hjerpe Anders A Dillner Joakim J

BMJ open 20171214 12

<h4>Objectives</h4>To determine how human papillomavirus (HPV) positivity of atypical glandular cells (AGCs) affects the predictive values for the presence of high-grade cervical lesions.<h4>Design</h4>Population-based cohort study.<h4>Setting</h4>Stockholm-Gotland region, Sweden.<h4>Participants</h4>Between 17 February 2014 and 30 June 2016, there were 562 women with AGC detected in a cervical sample. Registry linkages up to 30 June 2016 identified 392 women with an associated HPV test and a hi ...[more]

PMID: 29247086

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Project description:ObjectivesTo investigate the risks of invasive cervical cancer after detection of atypical glandular cells (AGC) during cervical screening.DesignNationwide population based cohort study.SettingCancer and population registries in Sweden.Participants3,054,328 women living in Sweden at any time between 1 January 1980 and 1 July 2011 who had any record of cervical cytological testing at ages 23-59. Of these, 2,899,968 women had normal cytology results at the first screening record. The first recorded abnormal result was atypical glandular cells (AGC) in 14 625, high grade squamous intraepithelial lesion (HSIL) in 65 633, and low grade squamous intraepithelial lesions (LSIL) in 244 168.Main outcome measuresCumulative incidence of invasive cervical cancer over 15.5 years; proportion of invasive cervical cancer within six months of abnormality (prevalence); crude incidence rates for invasive cervical cancer over 0.5-15.5 years of follow-up; incidence rate ratios compared with women with normal cytology, estimated with Poisson regression adjusted for age and stratified by histopathology of cancer; distribution of clinical assessment within six months after the abnormality.ResultsThe prevalence of cervical cancer was 1.4% for women with AGC, which was lower than for women with HSIL (2.5%) but higher than for women with LSIL (0.2%); adenocarcinoma accounted for 73.2% of the prevalent cases associated with AGC. The incidence rate of invasive cervical cancer after AGC was significantly higher than for women with normal results on cytology for up to 15.5 years and higher than HSIL and LSIL for up to 6.5 years. The incidence rate of adenocarcinoma was 61 times higher than for women with normal results on cytology in the first screening round after AGC, and remained nine times higher for up to 15.5 years. Incidence and prevalence of invasive cervical cancer was highest when AGC was found at ages 30-39. Only 54% of women with AGC underwent histology assessment within six months, much less than after HSIL (86%). Among women with histology assessment within six months, the incidence rate of cervical cancer after AGC was significantly higher than that after HSIL for up to 6.5 years.ConclusionsAGC found at cervical screening is associated with a high and persistent risk of cervical cancer for up to 15 years, particularly for cervical adenocarcinoma and women with AGC at age 30-39. Compared with the reduction in risk of cancer seen after HSIL management, management of AGC seems to have been suboptimal in preventing cervical cancer. Research to optimise management is needed, and a more aggressive assessment strategy is warranted.

Project description:It is crucial to classify cervical lesions into high-grade squamous intraepithelial lesions (HSILs) and low-grade SILs (LSILs), as LSILs are conservatively treated by observation, based on an expectation of natural regression, whereas HSILs usually require electrosurgical excision. In the present study, peripheral blood gene expression profiles were analyzed to identify transcriptomic biomarkers distinguishing HSILs from LSILs. A total of 102 blood samples were collected from women with cervical SILs (66 HSIL and 36 LSIL) for microarray hybridization. Candidate gene signatures were identified using AdaBoost algorithms, and a predictive model was constructed using logistic regression to differentiate HSILs from LSILs. To correct for possible bias as a result of the limited sample size and to verify the stability of the predictive model, a two-fold cross validation and null set analysis was conducted over 1,000 iterations. The functions of the transcriptomic biomarkers were then analyzed to elucidate the pathogenesis of cervical SIL. A total of 10 transcriptomic genes (STMN3, TRPC4AP, DYRK2, AGK, KIAA0319L, GRPEL1, ZFC3H1, LYL1, ITGB1 and ARHGAP18) were identified. The predictive model based on the 10-gene panel exhibited well-discriminated power. A cross validation process using known disease status exhibited almost the same performance as that of the predictive model, whereas null-set analysis with randomly reassigned disease status exhibited much lower predictive performance for distinguishing HSILs from LSILs. These biomarkers were involved in the 'Rho GTPase cycle', 'mitochondrial protein import', 'oncogenic MAPK signaling', 'integrin cell surface interaction' and 'signaling by BRAF and RAF fusions'. In conclusion, peripheral blood gene expression analysis is a promising method for distinguishing HSILs from LSILs. The present study proposes 10 candidate genes that could be used in the future as diagnostic biomarkers and potential therapeutic targets for cervical SILs. A simple, non-invasive blood test would be clinically useful in the diagnosis and classification of patients with cervical SILs.

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Risk of high-grade lesions after atypical glandular cells in cervical screening: a population-based cohort study.

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Risk of high-grade lesions after atypical glandular cells in cervical screening: a population-based cohort study.

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