Investigator

Pallop Siewchaisakul

Chiang Mai University

PSPallop Siewchaisa…
Papers(2)
The Utilization of Hu…Genetic Biomarkers As…
Collaborators(5)
Patumrat SripanChen-Yang HsuJade TsoKraiwuth KallawichaNoppcha Singweratham
Institutions(4)
Chiang Mai UniversityNational Taiwan Unive…University Of Califor…Chulalongkorn Univers…

Papers

The Utilization of Human Papillomavirus Testing for Cervical Cancer Screening in Thailand: A Comparison of Screening with and without Self-sampling Samples

Cervical cancer (CC) screening shifted from Pap-smear to human papillomavirus (HPV) testing HPV with and without a self-sampling HPV-test in Thailand. Few studies have reported the initial outcomes of such a transition. This study aims to explore CC screening rate, CC detection and compare the CC detection rate by HPV with and without self-sampling methods in Krabi, province. A retrospective study was conducted from 1st October 2023 to 30th September 2024. A total of 11,925 women's records were retrieved. Information on demographic, screening results and cancer diagnosis was retrieved from the Krabi provincial hospital. Different proportions of CC detections and self-test collection based on demographic features were tested using chi-square and Fisher's exact tests.  Result: CC screening rate was 42.4%: 10,619 (89%) of women had an HPV test and 1,306 (11%) had a Pap-smear test. The screening rate was 30.2% in 2023 and 52.1% in 2024. With regard to age, occupation, and health insurance schemes there was a significant difference in the proportion of those taking the self- collection test. Religion showed non-significance difference in the proportion of self-sampling test in relation to religion. CC detection was 3% among women who underwent the Pap-smear test and 0.12% for those who performed the HPV test. There is a significant difference in CC detection between the HPV with and without a self-sampling test. CC screening with HPV testing, especially with self-sampling, showed a promising approach to increasing CC screening uptake in the population. The rate of CC detection through self-sampling was lower in the early years of implementation compared to non-self-sampling methods. Ensuring the correct performance of self-sampling should be carefully considered and monitored in the future.

Genetic Biomarkers Associated with Dynamic Transitions of Human Papillomavirus (HPV) Infection–Precancerous–Cancer of Cervix for Navigating Precision Prevention

Precision prevention strategies for cervical cancer that integrate genetic biomarkers provide opportunities for personalized risk assessment and optimized preventive measures. An HPV infection–Precancerous–Cancer risk assessment model incorporating genetic polymorphisms and DNA methylation was developed to better understand the regression and progression of cervical lesions by HPV infection status. Utilizing a virtual cohort of 300,000 Taiwanese women aged 30 years and older, our model simulated the natural history of cervical cancer, capturing transitions from a healthy state through precancerous lesions (LSILs and HSILs) to invasive carcinoma and incorporating the possibility of regression between states. Genetic and epigenetic markers significantly influenced disease transitions, demonstrating heterogeneous risks among women with distinct molecular biomarker profiles. Guided by these individual risk profiles, tailored preventive strategies including varying intervals for Pap smear screening, HPV DNA testing, and HPV vaccination showed improved efficiency and effectiveness in reducing cervical cancer incidence compared to uniform approaches. The proposed dynamic transition model of cervical neoplasms incorporating genetic biomarkers can facilitate the development of an individualized risk-based approach for guiding precision prevention towards the goal of cervical cancer elimination.

2Papers
5Collaborators