Machine learning-driven prognostic analysis of cuproptosis and disulfidptosis-related lncRNAs in clear cell renal cell carcinoma: a step towards precision oncology

Cuproptosis and disulfidptosis, recently discovered mechanisms of cell death, have demonstrated that differential expression of key genes and long non-coding RNAs (lncRNAs) profoundly influences tumor development and affects their drug sensitivity. Clear cell renal cell carcinoma (ccRCC), the most common subtype of kidney cancer, presently lacks research utilizing cuproptosis and disulfidptosis-related lncRNAs (CDRLRs) as prognostic markers. In this study, we analyzed RNA-seq data, clinical information, and mutation data from The Cancer Genome Atlas (TCGA) on ccRCC and cross-referenced it with known cuproptosis and disulfidptosis-related genes (CDRGs). Using the LASSO machine learning algorithm, we identified four CDRLRs-ACVR2B-AS1, AC095055.1, AL161782.1, and MANEA-DT-that are strongly associated with prognosis and used them to construct a prognostic risk model. To verify the model's reliability and validate these four CDRLRs as significant prognostic factors, we performed dataset grouping validation, followed by RT-qPCR and external database validation for differential expression and prognosis of CDRLRs in ccRCC. Gene function and pathway analysis were conducted using Gene Ontology (GO) and Gene Set Enrichment Analysis (GSEA) for high- and low-risk groups. Additionally, we have analyzed the tumor mutation burden (TMB) and the immune microenvironment (TME), employing the oncoPredict and Immunophenoscore (IPS) algorithms to assess the sensitivity of diverse risk categories to targeted therapeutics and immunosuppressants. Our predominant objective is to refine prognostic predictions for patients with ccRCC and inform treatment decisions by conducting an exhaustive study on cuproptosis and disulfidptosis.

Progress in medical treatment of ulcerative colitis

Ulcerative colitis (UC) is a kind of chronic inflammatory disease and its etiology and pathogenesis are not clear. Accumulating evidence has indicated that the interactions among genotype, immune system and intestinal microbiota of patients play a significant role in the pathogenesis of UC. At present, it is difficult to cure UC. The main goals of UC treatment include inducing remission rapidly, maintaining the remission stage for a long time and preventing the occurrence of complications. As the incidence of UC keeps rising sharply in the recent 20 years, and a portion of patients have no response to the treatments or the effects are not satisfying, it is necessary to make further research for the treatment of UC. There are some main medical treatments for UC, such as 5-ASA, immune inhibitors, biological agents, Chinese herbal medicine, antibiotics and probiotics. In recent years, some new treatments such as stem cell transplantation, fecal bacteria transplantation and CO enema treatment are becoming the hot spot of research. This article will make a summary of the progress in medical treatment of UC in recent years.

The regulatory impact of immune inhibitors on T cells of SD rats

OBJECTIVE

To observe the regulatory impact of immune inhibitors on T cells in rats.

METHOD

Forty SD rats were selected and randomly divided into experimental group and control group, Rapamycin (SRL) 0.4 mg/d to fill the stomach of the former one, saline lavage was used with the latter one for two weeks. Using flow cytometry to detect the two groups of rats with spleen and thymus level of CD4+ CD25+ T cells; and the spleen cells FoxP3 mRNA expression; Using ELISA method to detect TGF-β, IL-10 levels.

RESULTS

The peripheral blood, spleen and thymus of CD4+ CD25+ T cells accounted for the proportion of mononuclear cells were significantly higher than that of control group (P<0.05); FoxP3 mRNA expression quantity also significantly higher than the control group (P<0.05); Experimental TGF-β in rats, IL-10 levels are significantly higher than control group (P<0.05).

CONCLUSIONS

Immune inhibitors can regulatory CD4+ CD25+ foxp3+ T cells in rats, a single nuclear cell proportion increase, shows that it can induce rat CD4+ CD25+ foxp3+ regulatory T cells proliferation.