150 results on '"Yokoyama, Seiya"'
Search Results
2. MALAT1 functions as a transcriptional promoter of MALAT1::GLI1 fusion for truncated GLI1 protein expression in cancer
3. “Surface epithelial slackening” pattern in endometrioid carcinoma: A morphological feature for differentiating the POLE mutation-subtype from the no specific molecular profile subtype
4. Exercise Suppresses Head and Neck Squamous Cell Carcinoma Growth via Oncostatin M
5. Gallbladder microbiota composition is associated with pancreaticobiliary and gallbladder cancer prognosis
6. An oncogenic splice variant of PDGFRα in adult glioblastoma as a therapeutic target for selective CDK4/6 inhibitors
7. Cervical Cytology Preserves Histologically Detected Surface Epithelial Slackening, Unique to thePOLEMutation-subtype in Endometrial Cancer
8. One-hundred-nm-scale electronic structure and transport calculations of organic polymers on the K computer
9. PCP4/PEP19 downregulates neurite outgrowth via transcriptional regulation of Ascl1 and NeuroD1 expression in human neuroblastoma M17 cells
10. Aberrant Methylation of UC Promoters in Human Pancreatic Ductal Carcinomas
11. Assessment of tumor characteristics based on glycoform analysis of membrane-tethered MUC1
12. Characterization and treatment of gemcitabine‐ and cisplatin‐resistant bladder cancer cells with a pan‐RAS inhibitor
13. Data from Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning
14. Supplementary table 4 from Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning
15. Supplementary table 1 from Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning
16. Supplementary table 3 from Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning
17. Supplementary table 2 from Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning
18. Supplementary figure 3 from Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning
19. Supplementary figure 1 from Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning
20. Supplementary figure 2 from Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning
21. Supplementary figure 4 from Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning
22. Next-generation sequencing analysis of endometrial screening liquid-based cytology specimens: a comparative study to tissue specimens
23. Favorable prognostic impact of phosphatase and tensin homolog alterations in wild-type isocitrate dehydrogenase and telomerase reverse transcriptase promoter glioblastoma
24. Genome Editing Using Cas9 Ribonucleoprotein Is Effective for Introducing PDGFRA Variant in Cultured Human Glioblastoma Cell Lines
25. Identification of Neck Lymph Node Metastasis-Specific microRNA—Implication for Use in Monitoring or Prediction of Neck Lymph Node Metastasis.
26. Characterization and treatment of gemcitabine- and cisplatin-resistant bladder cancer cells with a Pan-RAS inhibitor
27. Molecular Genetic Profile of 300 Japanese Patients with Diffuse Gliomas Using a Glioma-tailored Gene Panel
28. Distribution and favorable prognostic implication of genomicEGFRalterations inIDH‐wildtype glioblastoma
29. Genome Editing Using Cas9 Ribonucleoprotein Is Effective for Introducing PDGFRA Variant in Cultured Human Glioblastoma Cell Lines.
30. Distribution and favorable prognostic implication of genomic EGFR alterations in IDH‐wildtype glioblastoma.
31. PDGFRA amplification is a significant prognostic marker in patients with IDH wild-type glioblastoma multiforme
32. Prognostic impact of PDGFRA gain/amplification and MGMT promoter methylation status in patients with IDH wild-type glioblastoma
33. Molecular Evaluation of Endometrial Dedifferentiated Carcinoma, Endometrioid Carcinoma, Carcinosarcoma, and Serous Carcinoma Using a Custom-Made Small Cancer Panel
34. Detection of EGFR Mutation Distribution and Transcriptional Variants in IDH-Wildtype High-Grade Gliomas Using a Next-Generation Sequencing Oncopanel
35. Two autopsy cases of severe fever with thrombocytopenia syndrome (SFTS) in Japan: A pathognomonic histological feature and unique complication of SFTS
36. Circulating microRNA Panel as a Potential Novel Biomarker for Oral Squamous Cell Carcinoma Diagnosis
37. A tailored next‐generation sequencing panel identified distinct subtypes of wildtype IDH and TERT promoter glioblastomas
38. Next-Generation Sequencing Analysis of Endometrial Screening Liquid-Based Cytology Specimens A Comparative Study to Tissue Specimens
39. Predicted Prognosis of Patients with Pancreatic Cancer by Machine Learning
40. Analysis by Next-Generation Sequencing Panel Covered 60 Genes and 17 Microsatellite Foci in Endometrial Screening Liquid-Based Cytology Specimens A Comparative Study to Tissue Specimens
41. Comprehensive validation of liquid-based cytology specimens for next-generation sequencing in cancer genome analysis
42. The Association of Peroxiredoxin 4 with the Initiation and Progression of Hepatocellular Carcinoma
43. Immunohistochemical expression of mucin antigens in gallbladder adenocarcinoma: MUC1-positive and MUC2-negative expression is associated with vessel invasion and shortened survival
44. Protective Effects of Peroxiredoxin 4 (PRDX4) on Cholestatic Liver Injury
45. PCP4/PEP19 upregulates aromatase gene expression via CYP19A1 promoter I.1 in human breast cancer SK-BR-3 cells
46. Significant photoresponsivity enhancement of polycrystalline BaSi2 films formed on heated Si(111) substrates by sputtering
47. Erratum: Assessment of tumor characteristics based on glycoform analysis of membrane-tethered MUC1
48. TET1-mediated DNA hypomethylation regulates the expression of MUC4 in lung cancer
49. Aberrant methylation of MUC1 and MUC4 promoters are potential prognostic biomarkers for pancreatic ductal adenocarcinomas
50. One-hundred-nm-scale electronic structure and transport calculations of organic polymers on the K computer
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