Guidelines on lung adenocarcinoma prognosis based on immuno-glycolysis-related genes.

OBJECTIVES: This study developed a new model for risk assessment of immuno-glycolysis-related genes for lung adenocarcinoma (LUAD) patients to predict prognosis and immunotherapy efficacy. METHODS: LUAD samples and data obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases are used as training and test columns, respectively. Twenty-two (22) immuno-glycolysis-related genes were screened, the patients diagnosed with LUAD were divided into two molecular subtypes by consensus clustering of these genes. The initial prognosis model was developed using the multiple regression analysis method and Receiver Operating characteristic (ROC) analysis was used to verify its predictive potential. Gene set enrichment analysis (GSEA) showed the immune activities and pathways in different risk populations, we calculated immune checkpoints, immune escape, immune phenomena (IPS), and tumor mutation burden (TMB) based on TCGA datasets. Finally, the relationship between the model and drug sensitivity was analyzed. RESULTS: Fifteen (15) key differentially expressed genes (DEGs) with prognostic value were screened and a new prognostic model was constructed. Four hundred and forty-three (443) samples were grouped into two different risk cohorts based on median model risk values. It was observed that survival rates in high-risk groups were significantly low. ROC curves were used to evaluate the model's accuracy in determining the survival time and clinical outcome of LUAD patients. Cox analysis of various clinical factors proved that the risk score has great potential as an independent prognostic factor. The results of immunological analysis can reveal the immune infiltration and the activity of related functions in different pathways in the two risk groups, and immunotherapy was more effective in low-risk patients. Most chemotherapeutic agents are more sensitive to low-risk patients, making them more likely to benefit. CONCLUSION: A novel prognostic model for LUAD patients was established based on IGRG, which could more accurately predict the prognosis and an effective immunotherapy approach for patients.

A new strain of Aspergillus tubingensis for high-activity pectinase production.

Pectinase is a general term for a class of enzymes that decompose pectin. To obtain a fungal strain with high-activity pectinase of potential commercial importance, we screened microorganisms from the soil of vineyards, performed mutation breeding by ultraviolet (UV) and nitrosoguanidine (NTG) mutagenesis, and performed comparisons to commercially available pectinases. We found that the derived pectinase-producing strain Rn14-88A had the highest pectinase activity of 8363.215 U/mL, and identified it using internal transcribed spacer sequence analysis as Aspergillus tubingensis. Rn14-88A was the original strain for UV mutagenesis, from which mutant strain R-7-2-4 had the highest pectinase enzyme activity (9198.68 U/mL), which was a 9.99% increase compared to that of Rn14-88A. Following NTG mutagenesis of R-7-2-4, mutant strain Y1-3-2-6 had a pectinase enzyme activity of 9843.34 U/mL, which reflects a 6.36% increase compared to the pectinase activity of R-7-2-4. Subsequently, another round of NTG mutagenesis was performed on Y1-3-2-6, and the mutagenic strain Y2-6-3-4 exhibited an improved enzyme activity of 21,864.34 U/mL, which was 161.44% higher than that of Rn14-88A. Through liquid fermentation experiments of A. tubingensis Y2-6-3-4, it was determined that pectinase activity was the highest at a fermentation time of 20 h. Therefore, we conclude that A. tubingensis Y2-6-3-4 has potential for use in commercial production.