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http://dx.doi.org/10.1016/j.jtha.2023.02.017 | DOI Listing |
JAMA Dermatol
September 2025
Department of Dermatology, University of Washington, Seattle.
Importance: Merkel cell carcinoma (MCC) is typically caused by the Merkel cell polyomavirus (MCPyV) and recurs in 40% of patients. Half of patients with MCC produce antibodies to MCPyV oncoproteins, the titers of which rise with disease recurrence and fall after successful treatment.
Objective: To assess the utility of MCPyV oncoprotein antibodies for early detection of first recurrence of MCC in a real-world clinical setting.
Ann Surg Oncol
September 2025
HepatoBiliaryPancreatic Surgery, AOU Careggi, Department of Experimental and Clinical Medicine (DMSC), University of Florence, Florence, Italy.
Purpose: To build computed tomography (CT)-based radiomics models, with independent external validation, to predict recurrence and disease-specific mortality in patients with colorectal liver metastases (CRLM) who underwent liver resection.
Methods: 113 patients were included in this retrospective study: the internal training cohort comprised 66 patients, while the external validation cohort comprised 47. All patients underwent a CT study before surgery.
Ann Surg Oncol
September 2025
Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China.
Background: Postoperative late recurrence (POLAR) after 2 years from the date of surgical resection of hepatocellular carcinoma (HCC) represents a unique surveillance and management challenge. Despite identified risk factors, individualized prediction tools to guide personalized surveillance strategies for recurrence remain scarce. The current study sought to develop a predictive model for late recurrence among patients undergoing HCC resection.
View Article and Find Full Text PDFChaos
September 2025
School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
Although many real-world time series are complex, developing methods that can learn from their behavior effectively enough to enable reliable forecasting remains challenging. Recently, several machine-learning approaches have shown promise in addressing this problem. In particular, the echo state network (ESN) architecture, a type of recurrent neural network where neurons are randomly connected and only the read-out layer is trained, has been proposed as suitable for many-step-ahead forecasting tasks.
View Article and Find Full Text PDFCancer Sci
September 2025
Department of Surgery, Asahikawa Medical University, Asahikawa, Japan.
Despite recent advances in neoadjuvant strategies for locally advanced rectal cancer (LARC), optimal chemotherapy regimens and the role of genetic biomarkers in guiding treatment remain unclear. Moreover, predictive markers are urgently needed for radiation-sparing strategies. Therefore, we aimed to assess the predictive and prognostic value of TP53, KRAS, and APC mutations in patients with LARC undergoing neoadjuvant chemotherapy (NACT) by retrospectively analyzing 43 patients with LARC who underwent NACT without radiation.
View Article and Find Full Text PDF