Strong Correlation between the Expression of CHEK1 and Clinicopathological Features of Patients with Multiple Myeloma.

Multiple myeloma (MM) is one of the most common malignancies, and the clinical outcome of patients with MM remains poor. Our objective is to screen biomarkers correlated with clinicopathological features and survival of patients with MM. A gene co-expression network was constructed to screen hub genes related to the three stages in the International Staging System (ISS) of MM. Functional analysis and protein-protein interaction analysis of the hub genes was performed. CHEK1, a gene most related to the ISS stages of MM, was selected for further clinical validation. A total of 780 hub genes correlated with ISS stages of MM were identified. Functional enrichment analysis of hub genes suggested that these genes were mostly enriched in several gene ontology (GO) terms and pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) that were involved in cell proliferation and immune response. Expression of the gene for the protein checkpoint kinase I (CHEK1) was increased in MM cells from newly diagnosed patients (P = 0.0304) and relapsed patients (P = 0.0002) as compared to normal plasma cells. Meanwhile, CHEK1 was increased more in MM patients with stage II disease (P = 0.0321) and stage III disease (P = 0.0076) than in those with stage I disease. Survival analysis indicated that MM patients in the group characterized by low CHEK1 expression were associated with better clinical outcomes in terms of time to progression, event-free survival, and overall survival. High expression of CHEK1 predicted poor clinical characteristics of MM patient, and our results indicate that it can be considered a biomarker for the diagnosis of MM.

DHCR24 predicts poor clinicopathological features of patients with bladder cancer: A STROBE-compliant study.

To investigate the prognostic value of DHCR24 for patients with bladder cancer (BC). We used public bladder cancer microarray studies to evaluate the expression of DHCR24 between normal bladder tissues and BC cells, to investigate the relationship between the expression of DHCR24 and the clinical features of BC patients. Survival analysis was performed to investigate the correlation between DHCR24 expression and the survivals of BC patients. Gene set enrichment analysis was conducted to identify relevant mechanisms. The results showed that DHCR24 was up-regulated in BC cells compared with that in normal bladder tissues (P = .0389). Results of chi-square test suggested that BC patients in DHCR24 low expression group were proved to have better clinical characteristics (including tumor grade, disease progression, T staging, and N staging) as compared with those in DHCR24 low expression group (P < .0001, P = .002, P = .005, and P = .002, respectively). BC patients in DHCR24 low expression group were associated with better cancer-specific survival and overall survival (P < .0001 and P = .0008, respectively). DHCR24 might promote the proliferation of BC cells through several oncogenesis-associated biological processes (estrogen response, heme metabolism, P53 pathway, cholesterol homeostasis, mTORC1 signaling, peroxisome, xenobiotic metabolism, glycolysis, and protein secretion). Thus, DHCR24 might be a therapeutic target for patients with BC.

The Clinical Relevance of Fragile Histidine Triad Protein (FHIT) in Patients with Bladder Cancer.

BACKGROUND The present study aimed to investigate the clinical relevance of fragile histidine triad protein (FHIT) in patients with bladder cancer (BC). MATERIAL AND METHODS Three independent BC microarray studies were collected and reanalyzed. The expression of FHIT was evaluated between BC samples and normal bladder tissues. The correlation between the expression of FHIT and clinicopathological features was analyzed using the chi-square test. Log-rank based survival analysis was conducted to detect the survival significance of FHIT in patients with BC. Gene set enrichment analysis (GSEA) was performed to identify the mechanisms. RESULTS FHIT was significantly downregulated in BC cells (p=0.0044). BC patients in the FHIT high expression group had better clinical characteristics (including invasiveness, tumor grade, disease progression, and T staging) than those in the FHIT low expression group (p<0.0001, p<0.0001, p=0.031, p<0.0001, and p=0.056, respectively). Patients in the FHIT high expression group had better cancer-specific survival (p<0.0001) and overall survival (p=0.0008) than those in the FHIT low expression. GSEA results indicated that BC samples in the FHIT low expression group were enriched in interferon alpha response, apoptosis, androgen response, interferon gamma response, heme metabolism, and transforming growth facto r(TGF) beta signaling. CONCLUSIONS FHIT predicts better clinical relevance for patients with BC, which may be a promising therapeutic target.

Development and Validation of a 9-Gene Prognostic Signature in Patients With Multiple Myeloma.

Background: Multiple myeloma (MM) is one of the most common types of hematological malignance, and the prognosis of MM patients remains poor. Objective: To identify and validate a genetic prognostic signature in patients with MM. Methods: Co-expression network was constructed to identify hub genes related with International Staging System (ISS) stage of MM. Functional analysis of hub genes was conducted. Univariate Cox proportional hazard regression analysis was conducted to identify genes correlated with the overall survival (OS) of MM patients. Least absolute shrinkage and selection operator (LASSO) penalized Cox proportional hazards regression model was used to minimize overfitting and construct a prognostic signature. The prognostic value of the signature was validated in the test set and an independent validation cohort. Results: A total of 758 hub genes correlated with ISS stage of MM patients were identified, and these hub genes were mainly enriched in several GO terms and KEGG pathways involved in cell proliferation and immune response. Nine hub genes (HLA-DPB1, TOP2A, FABP5, CYP1B1, IGHM, FANCI, LYZ, HMGN5, and BEND6) with non-zero coefficients in the LASSO Cox regression model were used to build a 9-gene prognostic signature. Relapsed MM and ISS stage III MM was associated with high risk score calculated based on the signature. Patients in the 9-gene signature low risk group was significantly associated with better clinical outcome than those in the 9-gene signature high risk group in the training set, test, and validation set. Conclusions: We developed a 9-gene prognostic signature that might be an independent prognostic factor in patients with MM.

Endoplasmic reticulum stress protects human thyroid carcinoma cell lines against ionizing radiation-induced apoptosis.

Radiotherapy is one of the most effective forms of cancer treatment, used in the treatment of a number of malignant tumors. However, the resistance of tumor cells to ionizing radiation remains a major therapeutic problem and the critical mechanisms determining radiation resistance are poorly defined. In the present study, a cellular endoplasmic reticulum (ER) stress microenvironment was established through the pretreatment of cultured thyroid cancer cells with tunicamycin (TM) and thapsigargin (TG), in order to mimic the ER stress response in a tumor microenvironment. This microenviroment was confirmed through the X­box binding protein 1 splice process, glucose­regulated protein 78 kD and ER degradation­enhancing α­mannosidase­like mRNA expression. A clonogenic assay was used to measure cancer cell resistance to 60Co­Î³ following TM pretreatment; in addition, human C/EBP homologous protein (CHOP) mRNA expression was determined and apoptosis assays were performed. The results showed that TM or TG pretreatment inhibited CHOP expression and reduced the apoptotic rate of cells. Furthermore, the results demonstrated that the induced ER stress response rendered cancer cells more resistant to ionizing radiation­induced apoptosis. Therefore, the ER stress pathway may be a potential therapeutic target in order to improve the clinical efficiency of radiotherapy.