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Objective To develop and validate a prediction model based on targeted sequencing for glucocorticoid (GC)-associated osteonecrosis of the femoral head (GA-ONFH) in GC-treated adults. Methods This two-centre retrospective study was conducted between July 2015 and April 2019 at Zhongshan Hospital (training set) and the Sixth People's Hospital (test set) in Shanghai, China. All patients had a history of GC therapy, with a dose exceeding 2000 mg equivalent prednisone within 6 weeks. Patients were divided into two groups according to whether they were diagnosed with GA-ONFH within 2 years after GC initiation. Blood or saliva samples were collected for targeted sequencing of 358 single nucleotide polymorphisms and genetic risk score (GRS) calculating for developing GA-ONFH prediction model. Receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA) were performed to evaluate and validate the model. Results. The training set comprised 117 patients, while the test set comprised 30 patients for external validation. Logistic regression analysis showed that GRS was significantly associated with GA-ONFH (OR 1.87, 95% CI: 1.48, 2.37). The ROC and DCA curves showed that the multivariate model considering GRS, age at GC initial, sex and underlying diseases had a discrimination with area under the ROC curve (AUC) of 0.98 (95% CI: 0.96, 1.00). This model was further externally validated using the test set with an AUC of 0.91 (95% CI: 0.81, 1.00). Conclusion Our prediction model comprising GRS, age, sex and underlying diseases yields valid predictions of GA-ONFH incidence. It may facilitate effective screening and prevention strategies of GA-ONFH. [ABSTRACT FROM AUTHOR]

A number of studies suggest an association between miRNAs and diffuse large B-cell lymphoma (DLBCL). The present study aimed to investigate the prognostic value of microRNA (miR-150) in primary gastrointestinal (PGI)-DLBCL, by assessing the association between miR-150 expression and clinicopathological characteristics in patients with PGI-DLBCL. A total of 84 patients diagnosed with PGI-DLBCL were recruited and both tumor and adjacent non-tumor tissue samples were collected. miR-150 expression was assessed via reverse transcription-quantitative (RT-q)PCR analysis. The results demonstrated that miR-150 expression was significantly lower in PGI-DLBCL tissues compared with adjacent non-tumor tissues. Furthermore, receiver operating characteristic (ROC) curve analysis indicated that the optimal cut-off value of miR-150 for predicting survival was 8.965 with high sensitivity (79.8%) and specificity (77.1%). Patients were divided into two groups according to this cut-off value, as follows: High (n=18) and low expression (n=66) groups. Low miR-150 expression was significantly associated with clinical stage, International Prognostic Index (IPI), Eastern Cooperative Oncology Group status and use of rituximab. RT-qPCR analysis demonstrated that miR-150 expression was significantly lower in patients with high IPI scores compared with patients with low IPI scores. Downregulated miR-150 expression was significantly associated with shorter overall survival (OS) time and progression-free survival (PFS) time in patients with PGI-DLBCL. Furthermore, miR-150 level and IPI score were identified as two risk factors for OS and PFS. The diagnostic value of miR-150 was evaluated via ROC curve analysis, with an area under the curve value of 0.882. Taken together, the results of the present study suggest that miR-150 is a potential diagnostic marker of PGI-DLBCL, and may also serve as a useful prognostic factor for survival outcomes in patients with PGI-DLBCL. [ABSTRACT FROM AUTHOR]

Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) is involved in the pathogenesis and progression of several cancers. However, the potential effect of MALAT1 in primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL) has not been elucidated. This study aimed to explore the prognostic value of MALAT1 in patients with PGI-DLBCL. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to determine the expression of MALAT1 in 90 patients with PGI-DLBCL. MALAT1 was remarkably upregulated in PGI-DLBCL tissues compared to paired adjacent non-tumor tissues (P < 0.001), and the area under the receiver operating characteristic (ROC) curve (AUC) was 0.838. MALAT1 expression was further increased in the non-germinal center B-cell-like (non-GCB), advanced stage (stages IIE-IV) and International Prognostic Index (IPI) score (3–5) groups (P = 0.01, P < 0.001 and P < 0.001, respectively). Furthermore, Kaplan–Meier analysis showed that elevated MALAT1 expression correlated with inferior overall survival (OS) and progression-free survival in PGI-DLBCL patients (P < 0.001 and P < 0.001, respectively), and our multivariate analysis results suggested that upregulation of MALAT1 and high IPI score (3–5) were two unfavorable prognostic factors for PGI-DLBCL. In conclusion, our results demonstrate that MALAT1 may serve as a novel prognostic biomarker and an ideal therapeutic target for patients with PGI-DLBCL. [ABSTRACT FROM AUTHOR]

Objective: To develop nomograms for effective prediction of cause-specific survival (CSS) and overall survival (OS) of patients who underwent radical operation for stage I-III appendiceal adenocarcinoma.Methods: Clinical information from the surveillance, epidemiology, and end results database was retrieved from 2004 to 2015 and subjected to multivariate analysis to explore variables that affect the OS and CSS. Results were used to construct nomograms to assess the 1-, 3-, and 5-year OS and CSS rates, then their calibration accuracy and discriminative power were examined using Kaplan-Meier curves, calibration plots, and C statistics.Results: Overall, 1,241 patients were included in the analysis. We found 7 and 5 factors that could independently alter the prognosis, then used for creating nomograms for evaluating the OS and CSS, respectively, with respective C-index values of 0.741 (95% confidence interval [CI]: 0.729-0.754) and 0.747 (95% CI: 0.733-0.762). Calibration and receiver operating characteristic curves further revealed excellent predictive performance.Conclusions: We successfully built highly accurate nomograms for evaluating the 1-, 3-, and 5-year CSS and OS rates in subjects who underwent radical operation for stage I-III appendiceal adenocarcinoma. Further studies, involving prospective validations, are required to validate these nomograms. [ABSTRACT FROM AUTHOR]

Primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL) is a highly heterogeneous type of non-Hodgkin lymphoma. A number of studies have demonstrated that microRNA-130a (miR-130a) serves a role in the tumorigenesis and prognosis of numerous human tumors. However, to the best of our knowledge, the prognostic significance of miR-130a in PGI-DLBCL remains unknown. The present study explored the association between miR-130a and the clinical outcomes of PGI-DLBCL. Relative miR-130a expression was assessed by reverse transcription-quantitative PCR. Immunohistochemistry was used to detect expression levels of BCL-2, c-MYC, neprilysin, B-cell lymphoma 6 protein, PWWP domain-containing DNA repair factor 3A and proliferation marker protein Ki-67. A receiver operating characteristic curve was constructed to analyze the specificity and sensitivity of microRNA levels in the diagnosis of PGI-DLBCL. Survival curves were constructed using the Kaplan-Meier method. In the present study, miR-130a expression was notably higher in patients with PGI-DLBCL compared with in the controls (P<0.0001). miR-130a overexpression was closely associated with a high International Prognostic Index score (3–5) and drug resistance (P=0.017 and P=0.044, respectively). No significant difference in other clinical features was observed. Patients with increased expression levels of miR-130a had lower overall survival [hazard ratio (HR), 2.998; 95% CI, 1.347-6.673; P=0.007] and progression-free survival (HR, 3.325; 95% CI, 1.488-7.429; P=0.003) compared with patients who had lower expression levels of miR-130a. Furthermore, multivariate Cox regression analysis suggested that miR-130a was a negative prognostic parameter in PGI-DLBCL. Therefore, upregulation of miR-130a could become a potential prognostic marker for PGI-DLBCL. Additionally, further study of these results may have important guiding significance for the prognosis of patients with PGI-DLBCL in the clinical setting. [ABSTRACT FROM AUTHOR]