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Non-coding RNAs (ncRNAs), especially microRNAs (miRNAs) and long ncRNAs (lncRNAs), are essential regulators of processes, such as the cell cycle and apoptosis. In addition to interacting with intracellular complexes and participating in diverse molecular pathways, ncRNAs can be used as clinical diagnostic biomarkers and therapeutic targets for fighting cancer. Studying ncRNA gene clusters is crucial for understanding their role in cancer and developing new treatments. LOC124905135 is a protein-coding gene encoding a collagen alpha-1(III) chain-like protein, and also acts as a gene for several ncRNAs, including miR-3619, PRR34 antisense RNA 1 (PRR34-AS1), PRR34, long intergenic ncRNA 2939 (LINC02939), LOC112268288, and MIRLET7BHG. It also serves as a host gene for three miRNAs (hsa-let7-A3, hsa-miR-4763, and hsa-let-7b). Notably, the ncRNAs derived from this particular genomic region significantly affect various cell functions, including the cell cycle and apoptosis. This cluster of ncRNAs is dysregulated in several types of cancer, exhibiting mutations, alterations in copy number, and being subject to DNA methylation and histone modification. In summary, the ncRNAs derived from the LOC124905135 cluster could be used as targets for diagnosis, therapy monitoring, and drug discovery in human cancers.
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http://dx.doi.org/10.1016/j.heliyon.2024.e39931 | DOI Listing |
JMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
View Article and Find Full Text PDFJCO Clin Cancer Inform
September 2025
USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Purpose: To evaluate a generative artificial intelligence (GAI) framework for creating readable lay abstracts and summaries (LASs) of urologic oncology research, while maintaining accuracy, completeness, and clarity, for the purpose of assessing their comprehension and perception among patients and caregivers.
Methods: Forty original abstracts (OAs) on prostate, bladder, kidney, and testis cancers from leading journals were selected. LASs were generated using a free GAI tool, with three versions per abstract for consistency.
Neurol Neuroimmunol Neuroinflamm
November 2025
Department of Neurology, UC Davis Medical Center, Sacramento, CA.
Objectives: Complement factor I (CFI) deficiency is a rare condition that can present with fulminant relapsing CNS autoinflammation. In this report, we highlight the utility of genetic testing in unexplained CNS autoinflammation.
Methods: This case report describes a young adult with partial CFI deficiency, presenting with acute hemorrhagic leukoencephalitis and longitudinally extensive transverse myelitis.
JCO Precis Oncol
September 2025
Division of Hematology and Oncology, University of California Los Angeles, Los Angeles, CA.
Purpose: mutations are classically seen in non-small cell lung cancers (NSCLCs), and EGFR-directed inhibitors have changed the therapeutic landscape in patients with -mutated NSCLC. The real-world prevalence of -mutated ovarian cancers has not been previously described. We aim to determine the prevalence of pathogenic or likely pathogenic mutations in ovarian cancer and describe a case of -mutated metastatic ovarian cancer with a durable response to osimertinib, an EGFR-directed targeted therapy.
View Article and Find Full Text PDFJCO Precis Oncol
September 2025
Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, Italy.
Purpose: Tumor comprehensive genomic profiling (CGP) may detect potential germline pathogenic/likely pathogenic (P/LP) alterations as secondary findings. We analyzed the frequency of potentially germline variants and large rearrangements (LRs) in the RATIONAL study, an Italian multicenter, observational clinical trial that collects next-generation sequencing-based tumor profiling data, and evaluated how these findings were managed by the enrolling centers.
Patients And Methods: Patients prospectively enrolled in the pathway-B of the RATIONAL study and undergoing CGP with the FoundationOne CDx assays were included in the analysis.