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Background/aim: Metastatic prostate cancer (mPCa) results in high morbidity and mortality. Visceral metastases in particular are associated with a shortened survival. Our aim was to unravel the molecular mechanisms that underly pulmonary spread in mPCa.
Materials And Methods: We performed a comprehensive transcriptomic analysis of PCa lung metastases, followed by functional validation of candidate genes. Digital gene expression analysis utilizing the NanoString technology was performed on mRNA extracted from formalin-fixed, paraffin-embedded (FFPE) tissue from PCa lung metastases. The gene expression data from primary PCa and PCa lung metastases were compared, and several publicly available bioinformatic analysis tools were used to annotate and validate the data.
Results: In PCa lung metastases, 234 genes were considerably up-regulated, and 78 genes were significantly down-regulated when compared to primary PCa. Carcinoembryonic antigen-related cell adhesion molecule 6 (CEACAM6) was identified as suitable candidate gene for further functional validation. CEACAM6 as a cell adhesion molecule has been implicated in promoting metastatic disease in several solid tumors, such as colorectal or gastric cancer. We showed that siRNA knockdown of CEACAM6 in PC-3 and LNCaP cells resulted in decreased cell viability and migration as well as enhanced apoptosis. Comprehensive transcriptomic analyses identified several genes of interest that might promote metastatic spread to the lung.
Conclusion: Functional validation revealed that CEACAM6 might play an important role in fostering metastatic spread to the lung of PCa patients via enhancing proliferation, migration and suppressing apoptosis in PC-3 and LNCaP cells. CEACAM6 might pose an attractive therapeutic target to prevent metastatic disease.
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http://dx.doi.org/10.21873/cgp.20459 | DOI Listing |
High-throughput spatial transcriptomics (ST) now profiles hundreds of thousands of cells or locations per section, creating computational bottlenecks for routine analysis. Sketching, or intelligent sub-sampling, addresses scale by selecting small, representative subsets. While used in scRNA-seq, most sketching methods optimize coverage in expression space alone and ignore physical location, risking spatial bias.
View Article and Find Full Text PDFJ Am Med Inform Assoc
September 2025
Academy of Artificial Intelligence, Beijing Institute of Petrochemical Technology, 19 Qingyuan North Road, Daxing District, Beijing 102617, China.
Objective: Immunotherapy has emerged as a promising treatment for advanced non-small cell lung cancer (NSCLC), but accurately predicting which patients will benefit from it remains a major clinical challenge. To address this, we aim to develop a novel multimodal method, DeepAFM, that integrates histopathology, genomic features, and clinical information to predict patient responses to anti-PD-(L)1 immunotherapy.
Materials And Methods: A total of 93 patients with advanced NSCLC were included in this study.
Radiother Oncol
August 2025
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China. Electronic address:
Objective: To propose and validate a correction method for the respiratory phase shift of using different motion management systems in the 4-dimensional (4D) imaging and free-breathing gated radiotherapy.
Materials And Methods: Synchronized cone-beam CT (CBCT) and optical surface images (OSI) of 30 patients at two institutions were included. Reference diaphragm-signals were extracted from CBCT projections using Amsterdam-Shroud (AS) method.
Front Med (Lausanne)
August 2025
Department of Respiratory and Critical Care Medicine, Renji Hospital, School of Medicine, Chongqing University, Chongqing, China.
Background: Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease marked by excessive fibrous tissue accumulation in the lung interstitium, leading to a gradual deterioration of respiratory function and significantly impairing patients' quality of life. Despite advances in understanding its etiology and pathogenesis, the exact mechanisms remain unclear, underscoring the need for novel biomarkers and therapeutic targets.
Methods: We analyzed five publicly available datasets from the Gene Expression Omnibus (GEO), specifically "GSE15197," "GSE53845," "GSE135065," "GSE185691," and "GSE195770," to identify gene expression changes associated with IPF.
Sci Rep
August 2025
Division of Cardiology, Duke University School of Medicine, Durham, NC, USA.
Ejection fraction (EF) is a key component of heart failure (HF) classification. However, the biologic basis of HF with mildly reduced EF (HFmrEF) as a distinct biologic entity distinct from HF with preserved EF (HFpEF) and reduced EF (HFrEF) has not been well characterized. The EXSCEL trial randomized participants with type 2 diabetes (T2DM) to a once-weekly glucagon-like peptide receptor agonist (GLP-1 RA) exenatide (EQW) vs.
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