5 results match your criteria: "The 63600 hospital of PLA[Affiliation]"

Article Synopsis
  • Eczema is prevalent in preschool children, influenced by both genetic and environmental factors, which were studied using a sample of 1,030 children, half with eczema and half without.
  • The study revealed a strong genetic link, with around 8.4% of parents having a history of eczema, indicating a higher heritability in boys (73.59%) than girls (58.59%).
  • Key risk factors identified included premature birth, low birth weight, early antibiotic use, humid living conditions during pregnancy and infancy, and parental history of eczema, highlighting the importance of addressing these factors to mitigate eczema risk.
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Aim: To identify distinct disulfidptosis-molecular subtypes and develop a novel prognostic signature.

Methods/materials: We integrated into this study multiple SKCM transcriptomic datasets from the Cancer Genome Atlas database and Gene Expression Omnibus dataset. The consensus clustering algorithm was applied to categorize SKCM patients into different DRG subtypes.

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Background: We aimed to analyze the independent risk factors that affect the treatment outcomes of residual symptoms of cured benign paroxysmal positional vertigoand to construct a nomogram model.

Methods: A total of 186 benign paroxysmal positional vertigo patients who were treated in our hospital from June 2019 to August 2021 were selected. According to whether there were residual symptoms, they were divided into a group with residual symptoms (n=82) and a group without residual symptoms (n = 104).

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Background: Anoikis, a form of apoptosis induced by cell detachment, plays a key role in cancer metastasis. However, the potential roles of anoikis-related genes (ARGs) in assessing the prognosis of skin cutaneous melanoma (SKCM) and the tumor microenvironment (TME) remain unclear.

Methods: The data from TCGA corresponding to transcriptomic expression patterns for patients with SKCM were downloaded and utilized to screen distinct molecular subtypes by a non-negative matrix factorization algorithm.

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Background: The existing studies indicate that RNA binding proteins (RBPs) are closely correlated with the genesis and development of cancers. However, the role of RBPs in cutaneous melanoma remains largely unknown. Therefore, the present study aims to establish a reliable prognostic signature based on RBPs to distinguish cutaneous melanoma patients with different prognoses and investigate the immune infiltration of patients.

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