Background: To elucidate the correlations between tumor microenvironment and clinical characteristics as well as prognosis in clear cell renal cell cancer (ccRCC) and investigate the immune-associated genes by a comprehensive analysis of The Cancer Genome Atlas (TCGA) database.
Methods: We collected mRNA expression profiles of 537 ccRCC samples from the TCGA database. Immune scores and stromal scores were calculated by applying the ESTIMATE algorithm. We evaluated the correlation between immune/stromal scores and clinical characteristics as well as prognosis. The differentially expressed genes (DEGs) were screened between high immune/stromal score and low immune/stromal score groups by the cutoff of |log (fold change)| > 1, value <0.05 by using package "limma" in R. Functional enrichment analysis was performed by DAVID, and the protein-protein interaction network of intersected DEGs between stromal score and immune score groups was conducted using the STRING database. The Kaplan-Meier method was used to explore DEGs with predictive values in overall survival, and the prognostic DEGs were further validated in a Gene Expression Omnibus (GEO) dataset GSE29609.
Results: A higher immune score was associated with T3/4 (vs. T1/2, < 0.001), N1 (vs. N0, =0.05), M1 (vs. M0, =0.004), G3/4 (vs. G1/2, < 0.001), advanced AJCC stage ( < 0.001), and shorter overall survival (=0.04). Intersected DEGs between immune and stromal score groups were 48 upregulated and 47 downregulated genes, with 43 DEGs associated with overall survival in ccRCC. After validation by a cohort of 39 ccRCC cases with detailed follow-up information from GSE29609, six immune-associated DEGs including CASP5, HSD11B1, VSIG4, HMGCS2, HSD11B2, and OGDHL were demonstrated to be predictive of prognosis in ccRCC.
Conclusions: Our study elucidated tight associations between immune score and clinical characteristics as well as prognosis in ccRCC. Moreover, six DEGs were explored and validated to exert predictive values in overall survival of ccRCC.
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http://dx.doi.org/10.1155/2019/2506843 | DOI Listing |
BioTech (Basel)
January 2025
Applied Physiology Laboratory, University of North Texas, Denton, TX 76203, USA.
The study of nutritional compounds with the potential to train the innate immune response has implications for human health. The objective of the current study was to discover by what means 6 weeks of oral baker's yeast beta glucan (BYBG) supplementation altered the mRNA expression of genes that reflect innate immune training in the absence of a physical stressor. Nineteen adults were randomly assigned to either a Wellmune BYBG or Placebo for 6 weeks.
View Article and Find Full Text PDFBiomedica
December 2024
Laboratorio de Inmunodeficiencias, Instituto Nacional de Pediatría, Ciudad de México, México.
STAT1 is a cytoplasmic transcription factor associated with cell growth regulation, differentiation, proliferation, metabolism, and apoptosis. IFN-mediated JAK/STAT signaling pathway is involved in eliminating intracellular pathogens and viruses. However, pathogenic variants in STAT1 can result in impaired or increased function.
View Article and Find Full Text PDFBMC Psychiatry
January 2025
The Fifth Hospital of Shanxi Medical University, The Fifth Clinical Medical College of Shanxi Medical University, Shanxi Provincial People's Hospital, Taiyuan, 030032, China.
Background: Early-onset schizophrenia (EOS) occurs between the ages of 13 and 17 years, and neurobiological factors leading to cognitive deficits and psychotic symptoms with varying degrees of positive and negative symptoms. Numerous studies have demonstrated a broad link between immune dysregulation and the central nervous system in EOS, and its pathogenesis involves immune dysfunction, but the exact biological mechanisms have not been elucidated. This study employs immune infiltration analysis and bioinformatics to unveil the pathogenic mechanisms of EOS and identify potential diagnostic biomarkers, aiming for more precise clinical interventions.
View Article and Find Full Text PDFTransl Cancer Res
December 2024
Tokyo Metropolitan Cancer and Infectious Disease Center, Komagome Hospital, Tokyo, Japan.
Background: Numerous studies have demonstrated that immune cell infiltration is a significant predictor in the prognosis of those with breast cancer. This study aimed to develop a prognostic model for undifferentiated breast cancer using immune-related markers.
Methods: Differentially expressed genes (DEGs) and prognostic factors were identified from The Cancer Genome Atlas (TCGA) database.
Animals (Basel)
December 2024
Department of Veterinary Clinical Sciences, University of Minnesota, Saint Paul, MN 55108, USA.
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