Assessing the prognostic value of stemness-related genes in breast cancer patients.

Breast cancer (BC) is currently one of the deadliest tumors worldwide. Cancer stem cells (CSCs) are a small group of tumor cells with self-renewal and differentiation abilities and high treatment resistance. One of the reasons for treatment failures is the inability to completely eliminate tumor stem cells. By using the edgeR package, we identified stemness-related differentially expressed genes in GSE69280. Via Lasso-penalized Cox regression analysis and univariate Cox regression analysis, survival genes were screened out to construct a prognostic model. Via nomograms and ROC curves, we verified the accuracy of the prognostic model. We selected 4 genes (PSMB9, CXCL13, NPR3, and CDKN2C) to establish a prognostic model from TCGA data and a validation model from GSE24450 data. We found that the low-risk score group had better OS than the high-risk score group, whether using TCGA or GSE24450 data. A prognostic model including four stemness-related genes was constructed in our study to determine targets of breast cancer stem cells (BCSCs) and improve the treatment effect.

Prognostic value of immune related genes in lung adenocarcinoma.

Lung cancer has the highest incidence and mortality rates of all cancers in China. Immune-related genes and immune infiltrating lymphocytes are involved in tumor growth, and in the past decade, immunotherapy has become increasingly important in the treatment of lung cancer. Using the edgeR package, differentially expressed genes and immune-related genes (DEIRGs) were identified in patients with lung adenocarcinoma (LUAD). Functional enrichment analysis of DEIRGs was performed using Gene Ontology annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Survival-associated immune-related genes (IRGs) were selected using univariate Cox regression analysis and the prognostic model was assessed using multivariate Cox regression analysis. Overall, 273 DEIRGs were identified in LUAD, and KEGG pathway analysis of IRGs showed that 'cytokine-cytokine receptor interaction' was the most significantly enriched pathway. Furthermore, six survival associated IRGs were screened to establish a prognostic model; patients in the high risk score group had less favorable survival times, and the prognostic model was negatively associated with B cell infiltration. The present study established a prognostic model using analysis of survival-related immune-related genes, which were associated with B cell infiltration.

Prognostic Values of LDH and CRP in Cervical Cancer.

PURPOSE: Cervical cancer is one of the deadliest tumors among women in China. C-reactive protein (CRP), an indicator of inflammation, and lactate dehydrogenase (LDH), an enzyme ubiquitously expressed in cells, both play important roles in tumor growth and metastasis. PATIENTS AND METHODS: Based on pre-radiotherapy LDH and CRP median levels, we divided patients into four groups: high LDH and CRP group, high LDH group, high CRP group, and low LDH and CRP group. Then, based on pre-/post-radiotherapy LDH and CRP ratios, we divided patients into four groups: high LDH and CRP ratio group, high LDH ratio group, high CRP ratio group, and low LDH and CRP ratio group. Kaplan-Meier (KM) curves were constructed to show overall survival (OS). A multivariate Cox regression model was employed to identify the independent risk factors. RESULTS: High pre-radiotherapy LDH and CRP levels and increased pre-/post-radiotherapy LDH and CRP ratios were correlated with worst OS compared with the other three groups. CONCLUSION: LDH and CRP were correlated with outcomes in patients with locally advanced cervical cancer.