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Yao Z, Li F, Xie W, Chen J, Wu J, Zhan Y, Wu X, Wang Z, Zhang G. DeepSF-4mC: A deep learning model for predicting DNA cytosine 4mC methylation sites leveraging sequence features. Comput Biol Med 2024; 171:108166. [PMID: 38382385 DOI: 10.1016/j.compbiomed.2024.108166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 02/15/2024] [Accepted: 02/15/2024] [Indexed: 02/23/2024]
Abstract
N4-methylcytosine (4mC) is a DNA modification involving the addition of a methyl group to the fourth nitrogen atom of the cytosine base. This modification may influence gene regulation, providing potential insights into gene control mechanisms. Traditional laboratory methods for detecting 4mC DNA methylation have limitations, but the rise of artificial intelligence has introduced efficient computational strategies for 4mC site prediction. Despite this progress, challenges persist in terms of model performance and interpretability. To tackle these challenges, we propose DeepSF-4mC, a deep learning model specifically designed for predicting DNA cytosine 4mC methylation sites by leveraging sequence features. Our approach incorporates multiple encoding techniques to enhance prediction accuracy, increase model stability, and reduce the computational resources needed. Leveraging transfer learning, we harness existing models to enhance performance through learned representations or fine-tuning. Ensemble learning techniques combine predictions from multiple models, boosting robustness and accuracy. This research contributes to DNA methylation analysis and lays the groundwork for understanding 4mC's multifaceted role in biological processes. The web server for DeepSF-4mC is accessible at: http://deepsf-4mc.top/and the original code can be found at: https://github.com/754131799/DeepSF-4mC.
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Affiliation(s)
- Zhaomin Yao
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, 110016, China; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, 110167, China
| | - Fei Li
- College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China
| | - Weiming Xie
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, 110016, China; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, 110167, China
| | - Jiaming Chen
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, 110016, China; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, 110167, China
| | - Jiezhang Wu
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, 110016, China; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, 110167, China
| | - Ying Zhan
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, 110016, China; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, 110167, China
| | - Xiaodan Wu
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, 110016, China
| | - Zhiguo Wang
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, 110016, China; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, 110167, China.
| | - Guoxu Zhang
- Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, 110016, China; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, 110167, China.
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Rebolj M, Sargent A, Njor SH, Cuschieri K. Widening the offer of human papillomavirus self-sampling to all women eligible for cervical screening: Make haste slowly. Int J Cancer 2023; 153:8-19. [PMID: 36385698 PMCID: PMC10952475 DOI: 10.1002/ijc.34358] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/20/2022] [Accepted: 11/08/2022] [Indexed: 11/19/2022]
Abstract
Self-collection of samples for human papillomavirus (HPV) testing has the potential to increase the uptake of cervical screening among underscreened women and will likely form a crucial part of the WHO's strategy to eliminate cervical cancer by 2030. In high-income countries with long-standing, organised cervical screening programmes, self-collection is increasingly becoming available as a routine offer for women regardless of their screening histories, including under- and well-screened women. For these contexts, a validated microsimulation model determined that adding self-collection to clinician collection is likely to be cost-effective on the condition that it meets specific thresholds relating to (1) uptake and (2) sensitivity for the detection of high-grade cervical intraepithelial neoplasia (CIN2+). We used these thresholds to review the 'early-adopter' programme-level evidence with a mind to determine how well and how consistently they were being met. The available evidence suggested some risk to overall programme performance in the situation where low uptake among underscreened women was accompanied by a high rate of substituting clinician sampling with self-collection among well-screened women. Risk was further compounded in a situation where the slightly reduced sensitivity of self-sampling vs clinician sampling for the detection of CIN2+ was accompanied with lack of adherence to a follow-up triage test that required a clinician sample. To support real-world programmes on their pathways toward implementation and to avoid HPV self-collection being introduced as a screening measure in good faith but with counterproductive consequences, we conclude by identifying a range of mitigations and areas worthy of research prioritisation.
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Affiliation(s)
- Matejka Rebolj
- Cancer Prevention Group, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences & MedicineKing's College LondonLondonUK
| | - Alexandra Sargent
- Cytology Department, Manchester Royal InfirmaryManchester University NHS Foundation TrustManchesterUK
| | - Sisse Helle Njor
- University Research Clinic for Cancer Screening, Department of Public Health ProgrammesRanders Regional HospitalRandersDenmark
- Department of Clinical MedicineAarhus UniversityAarhusDenmark
| | - Kate Cuschieri
- Scottish HPV Reference Laboratory, Royal Infirmary of Edinburgh, NHS Lothian ScotlandEdinburghUK
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Verhoef L, Bleeker MCG, Polman N, Steenbergen RDM, Ebisch RMF, Melchers WJG, Bekkers RLM, Molijn AC, Quint WG, van Kemenade F, Meijer CJLM, Berkhof J, Heideman DAM. Evaluation of DNA methylation biomarkers ASCL1 and LHX8 on HPV-positive self-collected samples from primary HPV-based screening. Br J Cancer 2023:10.1038/s41416-023-02277-z. [PMID: 37100874 PMCID: PMC10132796 DOI: 10.1038/s41416-023-02277-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 04/04/2023] [Accepted: 04/12/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Host-cell DNA methylation analysis can be used to triage women with high-risk human papillomavirus (HPV)-positive self-collected cervicovaginal samples, but current data are restricted to under-/never-screened women and referral populations. This study evaluated triage performance in women who were offered primary HPV self-sampling for cervical cancer screening. METHODS Self-collected samples from 593 HPV-positive women who participated in a primary HPV self-sampling trial (IMPROVE study; NTR5078), were tested for the DNA methylation markers ASCL1 and LHX8 using quantitative multiplex methylation-specific PCR (qMSP). The diagnostic performance for CIN3 and cervical cancer (CIN3 + ) was evaluated and compared with that of paired HPV-positive clinician-collected cervical samples. RESULTS Significantly higher methylation levels were found in HPV-positive self-collected samples of women with CIN3 + than control women with no evidence of disease (P values <0.0001). The marker panel ASCL1/LHX8 yielded a sensitivity for CIN3 + detection of 73.3% (63/86; 95% CI 63.9-82.6%), with a corresponding specificity of 61.1% (310/507; 95% CI 56.9-65.4%). The relative sensitivity for detecting CIN3+ was 0.95 (95% CI 0.82-1.10) for self-collection versus clinician-collection, and the relative specificity was 0.82 (95% CI 0.75-0.90). CONCLUSIONS The ASCL1/LHX8 methylation marker panel constitutes a feasible direct triage method for the detection of CIN3 + in HPV-positive women participating in routine screening by self-sampling.
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Affiliation(s)
- Lisanne Verhoef
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Pathology, De Boelelaan 1117, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Maaike C G Bleeker
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Pathology, De Boelelaan 1117, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Nicole Polman
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Pathology, De Boelelaan 1117, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Renske D M Steenbergen
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Pathology, De Boelelaan 1117, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Renée M F Ebisch
- Radboud University Medical Center, Obstetrics and Gynecology, 6525 GA, Nijmegen, the Netherlands
| | - Willem J G Melchers
- Radboud University Medical Center, Medical Microbiology, 6525 GA, Nijmegen, the Netherlands
| | - Ruud L M Bekkers
- GROW School for Oncology and Developmental Biology, Maastricht University, 6229 ER, Maastricht, the Netherlands
- Catharina Hospital, 5623 EJ, Eindhoven, the Netherlands
| | - Anco C Molijn
- Eurofins NMDL-LCPL, 2280 CA, Rijswijk, the Netherlands
| | - Wim G Quint
- Eurofins NMDL-LCPL, 2280 CA, Rijswijk, the Netherlands
| | - Folkert van Kemenade
- Erasmus MC University Medical Center, Pathology, 3015 GD, Rotterdam, the Netherlands
| | - Chris J L M Meijer
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Pathology, De Boelelaan 1117, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Johannes Berkhof
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Daniëlle A M Heideman
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Pathology, De Boelelaan 1117, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands.
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Vink FJ, Meijer CJLM, Lissenberg-Witte BI, Visser C, Duin S, Snyman LC, Richter KL, van der Merwe FH, Botha MH, Steenbergen RDM, Dreyer G. Validation of ASCL1 and LHX8 Methylation Analysis as Primary Cervical Cancer Screening Strategy in South African Women with Human Immunodeficiency Virus. Clin Infect Dis 2022; 76:416-423. [PMID: 36366827 PMCID: PMC9907555 DOI: 10.1093/cid/ciac801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Compared with women who are human immunodeficiency virus (HIV) negative, women with human immunodeficiency virus (WWH) have a higher human papillomavirus (HPV) prevalence and increased cervical cancer risk, emphasizing the need for effective cervical cancer screening in this population. The present study aimed to validate methylation markers ASCL1 and LHX8 for primary screening in a South African cohort of WWH. METHODS In this post hoc analysis within the DIAgnosis in Vaccine And Cervical Cancer Screen (DiaVACCS) study, a South African observational multicenter cohort study, cervical scrape samples from 411 HIV-positive women were analyzed for hypermethylation of ASCL1 and LHX8 genes, HPV DNA, and cytology. Sensitivities, specificities, and positive and negative predictive values of primary methylation-based, HPV-based and cytology-based screening were calculated for the detection of cervical intraepithelial neoplasia of grade 3 or higher. RESULTS Single markers ASCL1 and LHX8 resulted in a good performance for the detection of cervical intraepithelial neoplasia of grade 3 or higher, with sensitivities of 85.9% (95% confidence interval [CI], 78.2%-93.6%) and 89.7% (83.0%-96.5%), respectively, and specificities of 72.9% (67.3%-78.5%) and 75.0% (69.5%-80.5%). Combining markers ASCL1 and LHX8 resulted in a lower sensitivity compared with HPV testing (84.6% vs 93.6%, respectively; ratio, 0.90 [95% CI, .82-.99]) and a higher specificity (86.7% vs 78.3%; ratio 1.11 [1.02-1.20]) and reduced the referral rate from 46.8% to 33.4%. ASCL1/LHX8 methylation had a significantly higher sensitivity than cytology (threshold, high-grade intraepithelial squamous lesion or worse), (84.6% vs 74.0%, respectively; ratio, 1.16 [95% CI, 1.01-1.32]) and similar specificity (86.7% vs 91.0%; ratio, 0.95 [.90-1.003]). CONCLUSIONS Our results validate the accuracy of ASCL1/LHX8 methylation analysis for primary screening in WWH, which offers a full-molecular alternative to cytology- or HPV-based screening, without the need for additional triage testing.
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Affiliation(s)
- Frederique J Vink
- Department of Pathology, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands,Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Chris J L M Meijer
- Correspondence: C. J. L. M. Meijer, Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands ()
| | - Birgit I Lissenberg-Witte
- Department of Epidemiology and Data Science, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Cathy Visser
- Gynaecologic Oncology Unit, Department of Obstetrics & Gynaecology, University of Pretoria Faculty of Health Sciences, Pretoria, South Africa
| | - Sylvia Duin
- Department of Pathology, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands,Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Leon C Snyman
- Gynaecologic Oncology Unit, Department of Obstetrics & Gynaecology, University of Pretoria Faculty of Health Sciences, Pretoria, South Africa
| | - Karin L Richter
- Department of Medical Virology, University of Pretoria Faculty of Health Sciences, Pretoria, South Africa
| | - Frederick H van der Merwe
- Gynaecologic Oncology Unit, Department of Obstetrics & Gynaecology, Stellenbosch University Faculty of Health Sciences, Stellenbosch, South Africa
| | - Matthys H Botha
- Gynaecologic Oncology Unit, Department of Obstetrics & Gynaecology, Stellenbosch University Faculty of Health Sciences, Stellenbosch, South Africa
| | - Renske D M Steenbergen
- Department of Pathology, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands,Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
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Vink FJ, Steenbergen RD, Kremer WW, Lissenberg-Witte BI, Heideman DA, Bleeker MC, van Zummeren M, Breytenbach E, Visser C, Lukhwareni A, Meijer CJ, Dreyer G. Posttreatment monitoring by ASCL1/LHX8 methylation analysis in women with HIV treated for cervical intraepithelial neoplasia grade 2/3. AIDS 2022; 36:953-961. [PMID: 35152224 DOI: 10.1097/qad.0000000000003197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Women with HIV (WWH) have an increased risk to develop recurrent cervical intraepithelial neoplasia grade 2/3 (rCIN2/3) after treatment compared with HIV-negative women. Therefore, appropriate posttreatment monitoring of WWH is important. This study evaluates the performance of ASCL1 and LHX8 methylation analysis as posttreatment monitoring test in WWH treated for CIN2/3, as alternative to cytology or human papillomavirus (HPV) as follow-up test. DESIGN Prospective observational cohort study. METHODS WWH treated for CIN2/3 by large loop excision of the transformation zone (LLETZ) (n = 61) were invited for follow-up study visits at 1, 2.5 and 4 years after baseline. Baseline and follow-up cervical scrapes were tested for cytology, HPV and DNA methylation of ASCL1 and LHX8 genes. The performance of these strategies for the detection of rCIN2/3 was evaluated in the first follow-up cervical scrape. RESULTS Thirteen (21.3%) rCIN2/3 lesions were detected within 4 years of follow-up. In women without rCIN2/3 in follow-up, methylation levels of ASCL1 and LHX8 decreased significantly after LLETZ treatment (P = 0.02 and 0.007, respectively). In women with rCIN2/3, methylation levels remained high after LLETZ treatment. The 4-year rCIN2/3 risk was 4.9% (95% CI: 0.6-16.5) for ASCL1/LHX8-negative women, 8.1% (95% CI: 1.7-21.9) for HPV-negative women and 7.7% (95% CI: 2.1-18.5) for cytology-negative women. CONCLUSION A negative ASCL1/LHX8 methylation test in follow-up is associated with a low rCIN2/3 risk and could serve as an objective test of cure and well tolerated alternative for HPV and/or cytology screening in the posttreatment monitoring of WWH.
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Tost J. Current and Emerging Technologies for the Analysis of the Genome-Wide and Locus-Specific DNA Methylation Patterns. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1389:395-469. [DOI: 10.1007/978-3-031-11454-0_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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