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LncRNA PGM5-AS1 Impairs the Resistance of Cervical Cancer to Cisplatin by Regulating the Hippo and PI3K-AKT Pathways.
Biochem Genet
December 2024
Department of Obstetrics and Gynecology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), No.216, Guanshan Avenue, Hongshan District, Wuhan, 430074, Hubei, China.
Cisplatin, a platinum-based chemotherapeutic agent, can be used to treat cervical cancer (CC), but cisplatin resistance is increased during the cisplatin treatment. Long non-coding RNA PGM5-AS1 reportedly participates in CC tumorigenesis; however, its role in CC patients with cisplatin resistance has not been revealed. The present aimed to examine the role of PGM5-AS1 in modulating cisplatin resistance in CC.
View Article and Find Full Text PDFMetabolic profiling reveals altered amino acid and fatty acid metabolism in children with Williams Syndrome.
Sci Rep
December 2024
Department of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, National Children's Regional Medical Center, National Clinical Research Center for Child Health, 3333 Binsheng Road, Hangzhou, 310052, Zhejiang Province, China.
Williams Syndrome (WS) is a rare neurodevelopmental disorder with a prevalence of 1 in 7500 to 1 in 20,000 individuals, caused by a microdeletion in chromosome 7q11.23. Despite its distinctive clinical features, the underlying metabolic alterations remain largely unexplored.
View Article and Find Full Text PDFIdentification of the shared gene signatures in retinoblastoma and osteosarcoma by machine learning.
Sci Rep
December 2024
Department of Orthopaedics, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Osteosarcoma (OS) is the most prevalent secondary sarcoma associated with retinoblastoma (RB). However, the molecular mechanisms driving the interactions between these two diseases remain incompletely understood. This study aims to explore the transcriptomic commonalities and molecular pathways shared by RB and OS, and to identify biomarkers that predict OS prognosis effectively.
View Article and Find Full Text PDFIntegrated analysis of physiological and metabolic data uncovers essential dynamic mechanisms involved in the maturation of cigar tobacco leaves.
Sci Rep
December 2024
Microelement Research Center, College of Resources and Environment, Huazhong Agricultural University, No. 1 Shizishan Road, Wuhan, 430070, China.
The quality of cigar tobacco leaves is profoundly affected by the timing of their harvest, with both early and late collections resulting in inferior characteristics. While the relationship between maturity and physiological metabolic processes is acknowledged, a comprehensive understanding of the physiological behavior of cigar leaves harvested at different stages remains elusive. This research investigated the physiological and metabolomic profiles of the cigar tobacco variety CX-014, grown in Danjiangkou City, Hubei Province, with leaves sampled at 35 (T1), 42 (T2), 49 (T3), and 56 (T4) days post-inflorescence removal.
View Article and Find Full Text PDFNovel anoikis-related diagnostic biomarkers for aortic dissection based on machine learning.
Sci Rep
December 2024
Department of Dermatology, Hunan Key Laboratory of Skin Cancer and Psoriasis, Hunan Engineering Research Center of Skin Health and Disease, Xiangya Clinical Research Center for Cancer Immunotherapy, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, China.
Aortic dissection (AD) is one of the most dangerous diseases of the cardiovascular system, which is characterized by acute onset and poor prognosis, while the pathogenesis of AD is still unclear and may affect or even delay the diagnosis of AD. Anchorage-dependent cell death (Anoikis) is a special mode of cell death, which is programmed cell death caused by normal cells after detachment from extracellular matrix (ECM) and has been widely studied in the field of oncology in recent years. In this study, we applied bioinformatics analysis, according to the results of research analysis and Gene Ontology (GO), as well as Kyoto Encyclopedia of Genes and Genomes (KEGG), finally found 3 anoikis-related genes (ARGs) based on machine learning.
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