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Background: Liver metastasis (LM) after pancreatic ductal adenocarcinoma (PDAC) resection is common but difficult to predict and has grave prognosis. We combined preoperative clinicopathological variables and quantitative analysis of computed tomography (CT) imaging to predict early LM.
Methods: We retrospectively evaluated patients with PDAC submitted to resection between 2005 and 2014 and identified clinicopathological variables associated with early LM. We performed liver radiomic analysis on preoperative contrast-enhanced CT scans and developed a logistic regression classifier to predict early LM (< 6 months).
Results: In 688 resected PDAC patients, there were 516 recurrences (75%). The cumulative incidence of LM at 5 years was 41%, and patients who developed LM first (n = 194) had the lowest 1-year overall survival (OS) (34%), compared with 322 patients who developed extrahepatic recurrence first (61%). Independent predictors of time to LM included poor tumor differentiation (hazard ratio (HR) = 2.30; P < 0.001), large tumor size (HR = 1.17 per 2-cm increase; P = 0.048), lymphovascular invasion (HR = 1.50; P = 0.015), and liver Fibrosis-4 score (HR = 0.89 per 1-unit increase; P = 0.029) on multivariate analysis. A model using radiomic variables that reflect hepatic parenchymal heterogeneity identified patients at risk for early LM with an area under the receiver operating characteristic curve (AUC) of 0.71; the performance of the model was improved by incorporating preoperative clinicopathological variables (tumor size and differentiation status; AUC = 0.74, negative predictive value (NPV) = 0.86).
Conclusions: We confirm the adverse survival impact of early LM after resection of PDAC. We further show that a model using radiomic data from preoperative imaging combined with tumor-related variables has great potential for identifying patients at high risk for LM and may help guide treatment selection.
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http://dx.doi.org/10.1245/s10434-022-11579-0 | DOI Listing |
Int J Surg
September 2025
Department of Thoracic Surgery, Changchun Tumor Hospital.
Objective: The risk factors of postoperative survival in T4N0M0 NSCLC patients are not fully understood. This study aimed to develop and validate a nomogram model for predicting postoperative survival in patients with T4N0M0 non-small cell lung cancer (NSCLC).
Methods: Clinicopathological data of patients were collected from Surveillance, Epidemiology, and End Results (SEER) database.
Breast J
September 2025
University of Hawai'i Cancer Center, Honolulu, Hawaii, USA.
The Oncotype DX test is standardly used for patients with early-stage, hormone-receptor-positive, HER2-negative breast cancers to determine the benefit from chemotherapy and the likelihood of distant recurrence. The relationship between Oncotype DX recurrence scores and race/ethnicity is still being studied. This retrospective study aims to evaluate the relationship between Oncotype DX recurrence scores, race/ethnicity, and clinicopathological factors and to support the applicability of the Oncotype DX test for a diverse breast cancer population of Hawaii.
View Article and Find Full Text PDFJ Int Med Res
September 2025
Department of Hematology, Guangzhou Eighth People's Hospital, Guangzhou Medical University, China.
ObjectiveAccurate prognostication is crucial for managing human immunodeficiency virus (HIV)-associated cutaneous T-cell lymphoma. In this study, we aimed to develop an improved machine learning-based prognostic model for predicting the 5-year survival rates in HIV-associated cutaneous T-cell lymphoma patients.MethodsWe derived and tested machine learning models using algorithms including Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Random Forest.
View Article and Find Full Text PDFZhonghua Bing Li Xue Za Zhi
September 2025
Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
To investigate the clinicopathological features, diagnosis, and prognosis of aggressive natural killer-cell leukemia (ANKL). A retrospective analysis was conducted on 27 ANKL patients treated at the First Affiliated Hospital of Nanjing Medical University from 2014 to 2024. Their clinical data, histomorphology, and immunophenotype were reviewed.
View Article and Find Full Text PDFPigment Cell Melanoma Res
September 2025
Department of Biomedicine, Aarhus University, Aarhus, Denmark.
Low density lipoprotein receptor-related protein 2 (LRP2) is a 600 kilodalton multi-ligand endocytic membrane receptor expressed in several cell types during fetal development, including neuroepithelial cells, and in select absorptive epithelial cells in the adult. In epithelial cancers, LRP2 expression is associated with a differentiated tumor cell state and better prognosis. In previous work, we found that while LRP2 is not expressed in benign naevi, it is frequently acquired in melanoma.
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