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Soft-tissue sarcomas (STS) represent a heterogeneous group of rare, malignant tumors of mesenchymal origin. Reliable sarcoma research models are scarce. We aimed to establish and characterize histologically and molecularly stable patient-derived xenograft (PDX) models from a broad variety of STS subtypes. A total of 188 fresh tumor samples from consenting patients with localized or advanced STS were transplanted subcutaneously in NMRI-nu/nu-immunodeficient mice. Once tumor growth was observed, the material was passaged to a next generation of mice. A patient-derived tumor sample was considered "successfully engrafted" whenever the sample was transplanted to passage 1. A PDX model was considered "established" when observing stable morphologic and molecular features for at least two passages. With every passage, histologic and molecular analyses were performed. Specific genomic alterations and copy-number profile were assessed by FISH and low coverage whole-genome sequencing. The tumor engraftment rate was 32% (61/188) and 188 patient samples generated a total of 32 PDX models, including seven models of myxofibrosarcoma, five dedifferentiated liposarcoma, five leiomyosarcoma, three undifferentiated pleomorphic sarcoma, two malignant peripheral nerve sheet tumor models, and single models of synovial sarcoma and some other (ultra)rare subtypes. Seventeen additional models are in early stages of engraftment (passage 1-2). Histopathologic and molecular features were compared with the original donor tumor and were stable throughout passaging. The platform is used for studies on sarcoma biology and suited for preclinical drug testing as illustrated by a number of completed and ongoing laboratory studies.
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http://dx.doi.org/10.1158/1535-7163.MCT-18-1045 | DOI Listing |
Cancer Rep (Hoboken)
September 2025
Division of Gastroenterology, Department of Internal Medicine, Asahikawa Medical University, Asahikawa, Japan.
Background: Cancer of unknown primary (CUP) is a challenging malignancy characterized by metastatic tumors with an unidentified primary site, even after extensive pathological and radiographic evaluation. Recent advancements in gene expression profiling and comprehensive genomic profiling (CGP) using next-generation sequencing (NGS) have enabled the identification of potential tissue origins, thereby facilitating personalized treatment strategies. Although most cases of CUP present as adenocarcinomas or poorly differentiated tumors, the treatment remains largely empirical, with limited success from molecularly tailored therapies.
View Article and Find Full Text PDFLancet Oncol
September 2025
Department of Neurosurgery, Mass General Brigham and Harvard Medical School, Boston, MA, USA. Electronic address:
Background: Molecular aberrations have been incorporated into tumour classification guidelines of meningioma. TERT-promoter (TERTp) mutation is associated with worse prognosis and is designated a WHO grade 3 biomarker. However, it remains unclear whether TERTp mutation is context-dependent, with other co-occurring genetic alterations potentially driving its association with prognosis.
View Article and Find Full Text PDFCancer Discov
September 2025
Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
Unlabelled: Lineage plasticity, a critical hallmark of cancer progression, enables tumor cells to evade inhibition of primary oncogenic pathways through histologic transformation. This adaptive process, driven by stemness-associated features and epigenetic reprogramming, poses significant challenges in treatment. Using non-small cell lung cancer and prostate cancer as models, we examine the utility of tissue and liquid biopsies in detecting histologic transformations and tailoring treatments to specific subtypes, which has profound clinical implications, potentially improving outcomes in patients with advanced, therapy-resistant disease.
View Article and Find Full Text PDFEpigenomics
September 2025
Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
There is no immunohistochemical or molecular marker to confirm the histologic diagnosis of pancreatic ductal adenocarcinoma (PDAC). This is particularly important in a scenario of unknown primary. Molecularly, PDAC is characterized by a limited set of driver mutations, and new predictive and prognostic markers are needed to guide novel therapies.
View Article and Find Full Text PDFDespite promising results in using deep learning to infer genetic features from histological whole-slide images (WSIs), no prior studies have specifically applied these methods to lung adenocarcinomas from subjects who have never smoked tobacco (NS-LUAD) - a molecularly and histologically distinct subset of lung cancer. Existing models have focused on LUAD from predominantly smoker populations, with limited molecular scope and variable performance. Here, we propose a customized deep convolutional neural network based on ResNet50 architecture, optimized for multilabel classification for NS-LUAD, enabling simultaneous prediction of 16 molecular alterations from a single H&E-stained WSI.
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