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1.
Journal of Xi'an Jiaotong University(Medical Sciences) ; (6): 755-763, 2023.
Article in Chinese | WPRIM | ID: wpr-1005801

ABSTRACT

【Objective】 To select and identify miRNA signatures to predict TMB level in gastric cancer based on The Cancer Genome Atlas (TCGA) database and machine learning methods. 【Methods】 MiRNA expression and somatic mutation profiles of gastric cancer (GC) were downloaded from TCGA database. R "limma" package was performed to select differentially expressed miRNAs between high-TMB and low-TMB groups. Two machine learning algorisms, random forest (RF), and Support Vector Machine-Recursive Feature Elimination were utilized to identify miRNAs with the highest discriminative ability. ROC was used to test the predictive ability of these signatures in multiple datasets. Besides, immune cells of different TMB levels were compared by the CIBERSORT method. 【Results】 A total of 56 differentially expressed miRNAs (DE-miRNAs) were filtered. Functional enrichment analysis showed that these DE miRNAs are mainly enriched in signaling pathways related to tumor occurrence and development as well as immunity-related biological processes. The RF and SVM-RFE algorithms jointly identified 10 diagnostic features of miRNAs, among which only hsa-miR-210-3p is considered the most relevant predictive biomarker for TMB classification. The AUC value of hsa-miR-210-3p in the training, testing, and total sets is 0.822, 0.721, and 0.793, respectively, and has been validated in other cancer types. Besides, CIBERSORT analysis suggests differences in immune cell infiltration between high- and low-TMB groups. Meanwhile, there is a significant positive correlation between the expression of immune checkpoint related genes and mismatch repair related genes and hsa-miR-210-3p. 【Conclusion】 This study successfully identified hsa-miR-210-3p as a predictive biomarker for TMB classification, which can effectively predict TMB values in gastric cancer and other cancer patients and may provide some guidance for immunotherapy.

2.
Journal of Pharmaceutical Analysis ; (6): 69-封3, 2010.
Article in Chinese | WPRIM | ID: wpr-623839

ABSTRACT

Objective Systemic chemotherapy for metastatic pancreatic cancer is still a difficult problem in clinical practice. The standard chemotherapy of pancreatic cancer has been gemcitabine, but the response rate is low. Therefore, it is in urgent need to explore an effective clinical therapy for this cancer. This paper, a case report, is aimed at discussing the effectiveness of vinorelbine and cisplatin combined with endostatin as the first-line therapy for metastatic pancreatic cancer. Methods A 52-year-old female patient was diagnosed with pancreas cancer with liver metastasis at the time of the first visit to our hospital. Systemic chemotherapy with vinorelbine and cisplatin combined with endostatin was conducted. Results Liver metastases almost disappeared after the first cycle of chemotherapy. The primary tumor decreased by one third in size after four cycles and disappeared after the sixth cycle according to the CT scan evaluation. Conclusion Vinorelbine and cisplatin combined with endostatin can be a promising regimen for metastatic pancreatic cancer.

3.
Journal of Pharmaceutical Analysis ; (6): 39-43, 2010.
Article in Chinese | WPRIM | ID: wpr-621634

ABSTRACT

Objective To conduct a case-control study on the association of the nucleotide polymorphisms in the promoter region of the matrix metalloproteinase-9 (MMP-9) gene with phenotype of esophageal cancer. Methods All subjects were unrelated residents in northern regions of China. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis was used to determine the MMP-9 genotypes. Results The overall distribution of genotypes in the patients was not different from that in the controls (OR=0.77, 95% CI=0.45-1.34; P=0.36). There were no significant differences between the patients and the control subjects in terms of the distributions of sex and age, smoking status, alcohol dependence, pickled diet status, or history of environmental exposure. The patients were further examined with stratifications by age, sex, grade, depth of tumor invasion, lymphatic invasion, venous invasion and TNM staging. The results showed no pronounced association among the stratifications. Conclusion There is no significant association between the MMP-9 single nucleotide polymorphism genotypes and phenotype of esophageal cancer.

4.
Chinese Journal of General Surgery ; (12)1994.
Article in Chinese | WPRIM | ID: wpr-673502

ABSTRACT

Objective To study the identification rate of sentinel lymph node (SLN) in patients with breast cancer (BC) and the accuracy in predicting axillary lymph node(ALN) metastasis using methylene blue (MB) and patent blue violet (PBV) injection. Methods From October, 1999 to April, 2001, 94 patients with BC were selected for this study. Of them, 32 patients were injected with 1% MB and 62 patients with 1% PBV to identify SLN. All 94 patients underwent the axillary lymph node dissection. Results In MB group and PBV group , the SLN identification rate were 65.6% (21/32), 88.7% (55/62); the accuracy rate to predict axillary lymph node status were 90.5% (19/21), 98.2% (54/55) respectively. Conclusion Compared with MB ,PVB is the more ideal vital blue dye in identification of SNB.

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