Clinical and Pathological Analysis of Perianal Paget's Disease: A Case Report and Review of 89 Cases.

Background/aim: Perianal Paget's disease (PPD) is an intraepithelial invasion of the perianal skin that is frequently associated with anorectal carcinoma. Rectal canal carcinoma with Pagetoid spread (PS) is a relatively rare disease, and few reports on its outcomes are available. The relatively rare nature of this disease makes the development of treatment recommendations difficult.

ASO Author Reflections: Potential of Peripheral Plasma Exosomal miRNA: miR-6855-5p Could Predict Radiosensitivity in Patients with Pancreatic Cancer, and Enhances Radioresistance.

The efficacy of preoperative treatment for pancreatic cancer (PC) has been reported in randomized controlled trials, but the optimal regimen and the appropriateness of combining radiotherapy remain controversial. Therefore, predicting the efficacy of preoperative treatment using biomarkers and determining whether to combine chemotherapy or radiotherapy based on the biology of individual tumors could help personalize treatment and maximize therapeutic outcomes. In this study, a microRNA (miRNA) microarray analysis was performed using peripheral blood plasma exosomes from 10 PC patients who underwent neoadjuvant chemoradiotherapy, leading to the identification of miR-6855-5p as a candidate miRNA.

MicroRNA-26a-5p is a reliable biomarker in the adjuvant setting for pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) has a high recurrence rate even after radical resection because of subclinical tumors. To manage them, a reliable biomarker that can indicate the presence of subclinical tumors and predict their chemosensitivity is required. This study aimed to identify a miRNA as a biomarker that can be used to individualize postoperative adjuvant chemotherapy using postoperative peripheral blood samples.

Preoperative treatment response prediction for pancreatic cancer by multiple microRNAs in plasma exosomes: Optimization using machine learning and network analysis.

Background/objectives: MicroRNAs (miRNAs) are involved in chemosensitivity through their biological activities in various malignancies, including pancreatic cancer (PC). However, single-miRNA models offer limited predictability of treatment response. We investigated whether a multiple-miRNA prediction model optimized via machine learning could improve treatment response prediction.

miR-6855-5p Enhances Radioresistance and Promotes Migration of Pancreatic Cancer by Inducing Epithelial-Mesenchymal Transition via Suppressing FOXA1: Potential of Plasma Exosomal miR-6855-5p as an Indicator of Radiosensitivity in Patients with Pancreatic Cancer.

Background: Whether radiation should be added to neoadjuvant treatment remains controversial, and liquid biopsy has not been reported to predict radioresistance in pancreatic cancer (PC). We aimed to identify microRNAs (miRNAs) governing radioresistance in PC by utilizing peripheral plasma exosome samples and to verify their usefulness as biomarkers.

Methods: miRNA microarray analysis was conducted using pretreatment peripheral plasma exosomes from 10 patients with PC receiving neoadjuvant chemoradiotherapy (NACRT) in the discovery cohort.