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The purpose of this document is to provide pre-analytical, analytical and post-analytical considerations and recommendations to Canadian clinical laboratories developing, validating and offering next-generation sequencing (NGS)-based and () tumour testing in ovarian cancers. This document was drafted by the members of the Canadian College of Medical Geneticists (CCMG) somatic BRCA Ad Hoc Working Group, and representatives from the Canadian Association of Pathologists. The document was circulated to the CCMG members for comment. Following incorporation of feedback, this document has been approved by the CCMG board of directors. The CCMG is a Canadian organisation responsible for certifying medical geneticists and clinical laboratory geneticists, and for establishing professional and ethical standards for clinical genetics services in Canada. The current CCMG Practice Guidelines were developed as a resource for clinical laboratories in Canada; however, they are not inclusive of all information laboratories should consider in the validation and use of NGS for tumour testing in ovarian cancers.
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http://dx.doi.org/10.1136/jmedgenet-2021-108238 | DOI Listing |
Naunyn Schmiedebergs Arch Pharmacol
September 2025
Department of Gastroenterology, Jinhua Central Hospital, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, 321000, Zhejiang, China.
The fourth leading cause of cancer-related fatalities in the USA is pancreatic ductal adenocarcinoma (PDAC), a particularly deadly illness that is resistant to immunotherapy. One of the Main Obstacles in cancer research is developing better treatments for PDAC, which has the lowest 5-year survival rate of any malignancy. Anti-CTLA-4, anti-PD-L1, and anti-PD-1 immune checkpoint blockade medications also have poor results in these patients, which may indicate the presence of other immunosuppressive mechanisms in the pancreatic tumor microenvironment (TME).
View Article and Find Full Text PDFMol Cell Biochem
September 2025
Department of Laboratory Medicine, The People's Hospital of Zhongjiang, No. 96, Dabei Street, Kaijiang Town, Zhongjiang County, Deyang City, 618100, Sichuan Province, China.
5-methylcytosine (m5C) methylation is a post-transcriptional modification of RNAs, and its dysregulation plays pro-tumorigenic roles in lung adenocarcinoma (LUAD). Here, this study elucidated the mechanism of action of NSUN2, a major m5C methyltransferase, on LUAD progression. mRNA expression was analyzed by quantitative PCR.
View Article and Find Full Text PDFArch Gynecol Obstet
September 2025
Department of Obstetrics and Gynecology, University Medical Center Freiburg, Freiburg, Germany.
Objective: To investigate the clinical utility of diagnostic laparoscopy in guiding treatment strategy and surgical outcomes for patients with advanced-stage ovarian cancer, specifically regarding operability assessment and the likelihood of complete cytoreduction.
Methods: This retrospective cohort study analyzed 183 patients with histologically confirmed International Federation of Gynecology and Obstetrics (FIGO) stage III-IV ovarian cancer treated with curative intent between January 2018 and December 2023 at a tertiary referral center. Patients were divided into two groups: those who underwent diagnostic laparoscopy prior to primary treatment (n = 80) and those managed without laparoscopy (n = 103).
Int J Surg
September 2025
Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Background: Precise preoperative discrimination of invasive lung adenocarcinoma (IA) from preinvasive lesions (adenocarcinoma in situ [AIS]/minimally invasive adenocarcinoma [MIA]) and prediction of high-risk histopathological features are critical for optimizing resection strategies in early-stage lung adenocarcinoma (LUAD).
Methods: In this multicenter study, 813 LUAD patients (tumors ≤3 cm) formed the training cohort. A total of 1,709 radiomic features were extracted from the PET/CT images.
Radiol Artif Intell
September 2025
Department of Radiology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, No. 197 Ruijin Er Road, Shanghai 200025, China.
Purpose To assess the effectiveness of an explainable deep learning (DL) model, developed using multiparametric MRI (mpMRI) features, in improving diagnostic accuracy and efficiency of radiologists for classification of focal liver lesions (FLLs). Materials and Methods FLLs ≥ 1 cm in diameter at mpMRI were included in the study. nn-Unet and Liver Imaging Feature Transformer (LIFT) models were developed using retrospective data from one hospital (January 2018-August 2023).
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