Publications by authors named "Potjanee Kanchanapiboon"
Article Synopsis
- Cervical cancer rates are significantly higher in Southeast Asia compared to Northern America, emphasizing the need for accessible self-diagnostic methods due to less frequent screening.
- This study created the first microRNA biomarker panel aimed at early detection of cervical cancer in Thai women, using a combination of tissue and discharge samples from patients with high-grade lesions.
- An 18-miRNA panel was identified, achieving a 90.9% accuracy in distinguishing between high-grade lesions and normal samples, with most miRNAs being down-regulated, suggesting their potential as non-invasive diagnostic tools for cervical cancer.
The skin microenvironment created by keratinocytes (KC) influences the stress responses of melanocytes (MC) to UVB insults. This study employed RNA sequencing analysis as well as in vitro and in vivo models to elucidate the underlying mechanisms. Our RNA-Seq analysis revealed a statistically significant upregulation of GCSF and CCL20 genes in UVB-irradiated KC, correlating with the protective effects of KC on MC responses to UVB exposure.
View Article and Find Full Text PDFObjectives: This study aimed to assess the accuracy of machine learning (ML) models with feature selection technique in classifying cervical vertebral maturation stages (CVMS). Consensus-based datasets were used for models training and evaluation for their model generalization capabilities on unseen datasets.
Methods: Three clinicians independently rated CVMS on 1380 lateral cephalograms, resulting in the creation of five datasets: two consensus-based datasets (Complete Agreement and Majority Voting), and three datasets based on a single rater's evaluations.