Medicine
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Sapiens spondin-2 (SPON2) is a protein found in the extracellular matrix that plays a role in a number of processes, including immune reactions and cell adhesion, and is closely linked to the emergence of a number of tumor types. However, we know very little about Sapiens spondin-2. Therefore, we performed a systematic pan-carcinogenic analysis to explore the relationship between Sapiens spondin-2 and cancers. ⋯ We found and validated the potential use of SPON2 in cancer detection for the first time through pan-cancer analysis. The expression levels of SPON2 in various tumors were quite different from those in normal tissues. Furthermore, the performance of SPON2 in tumorigenesis and tumor immunity verified our hypothesis. At the same time, it has high specificity and sensitivity in cancer detection. Therefore, SPON2 can be employed as an auxiliary index for the initial diagnosis of tumors and a prognostic marker for various types of tumors.
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We performed UCC on the expression data of lung squamous cell carcinoma tumor samples to identify the classification of lung squamous cell carcinoma (LUSC) tumor samples, and calculated the levels of different classified immune cells by single-sample gene enrichment analysis (ssGSEA) to obtain a set of immune-related subtype gene tags, which can be used for subtype classification of lung squamous cell carcinoma. TCGA-LUSC and GSE30219 data of lung squamous cell carcinoma were obtained from TCGA and GEO databases. Prognostic-associated subtypes were identified by unsupervised consensus clustering (UCC). ⋯ We effectively identified 2 subtypes that were significantly associated with prognostic survival by UCC, and calculated according to ssGSEA, the 2 subtypes were significantly different at the level of immune cells, followed by introducing a This weighted thinking computes a set of gene signatures that are significantly associated with subtype 1. During validation, this set of gene signatures could efficiently and robustly identify distinct prognostic immune subtypes, demonstrated the validity of this set of gene signatures, as well as 2 subtypes of lung squamous cell carcinoma. We used lung squamous cell carcinoma data from public databases and identified 2 prognostic immunosubtypes of lung squamous cell carcinoma and a set of gene tags that can be used to classify immune subtypes of lung squamous cell carcinoma, which may provide effective evidence for accurate clinical treatment of lung squamous cell carcinoma.
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Chronic kidney disease is a worldwide public health issue with rising incidence, morbidity/mortality, and cost. Depression and chronic renal disease often coexist, and psychological illnesses are associated with poor results. Early identification of depression reduces morbidity and death. ⋯ Depression is one of the most common psychiatric conditions in dialysis patients and is linked to increased morbidity, mortality, treatment failure, expense, and hospitalization. NLR helped predict moderate-to-major depression in dialysis patients, even after controlling for confounding factors in multivariate analysis. This study indicated that an NLR successfully identified depressive groups, and patients with an NLR value >3.26 were 6.1 times more likely to have moderate or major depression.
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This study aimed to evaluate the association between bone metabolism indices and glycated hemoglobin (HbA1c) levels in middle-aged and older adult patients with type 2 diabetes mellitus (T2DM). We retrospectively analyzed 372 T2DM patients aged > 45 years who had attended the Endocrinology Department at our hospital (males, n = 192; postmenopausal females, n = 180). We collected data concerning patient characteristics, HbA1c levels, and bone metabolism indices (25-hydroxyvitamin D [25(OH)D], β-isomerized C-terminal telopeptides, N-terminal osteocalcin [N-MID], procollagen type 1 N-terminal propeptide [P1NP], bone-specific alkaline phosphatase [BAP], calcium [Ca], and phosphorus [P]). ⋯ Multiple linear regression analysis showed that N-MID was a factor influencing HbA1c levels after adjusting for age and body mass index (BMI). Serum N-MID levels negatively correlated with HbA1c levels in middle-aged and older adult men with T2DM. Therefore, high serum N-MID levels may contribute to blood glucose control in T2DM patients.
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In the realm of clinical practice, there is currently an insufficiency of distinct biomarkers available for the detection of breast cancer. It is of utmost importance to promptly employ bioinformatics methodologies to investigate prospective biomarkers for breast cancer, with the ultimate goal of achieving early diagnosis of the disease. The initial phase of this investigation involved the identification of 2 breast cancer gene chips meeting the specified criteria within the gene expression omnibus database. ⋯ The findings of this study unveiled the significant involvement of the identified 10 Hub genes in facilitating the growth and proliferation of cancer cells, particularly cell cycle protein A2, cell division cycle-associated protein 8, maternal embryonic leucine zipper kinase, nucleolar and spindle-associated protein 1, hyaluronan-mediated motility receptor, and protein regulator of cytokinesis 1, which demonstrated a more pronounced connection with the onset and progression of breast cancer. Further analysis through differential expression and survival analysis reaffirmed their strong correlation with the incidence of breast cancer. Consequently, the investigation of these 10 pertinent Hub genes presents novel prospects for potential biomarkers and valuable insights into the early diagnosis of breast cancer.