Combinatorial patterns of somatic gene mutations in cancer

Cited by (251)

Items 101–200 of 251

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6. Science and Mechanism of Action of Targeted Therapies in Cancer Treatment
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7. Explaining cancer type specific mutations with transcriptomic and epigenomic features in normal tissues
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8. The Evolution of Melanoma – Moving beyond Binary Models of Genetic Progression
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9. Low-Fidelity Compensatory Backup Alternative DNA Repair Pathways May Unify Current Carcinogenesis Theories
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10. A Multi-Scale Approach to Colorectal Cancer: From a Biochemical- Interaction Signaling-Network Level, to Multi-Cellular Dynamics of Malignant Transformation. Interplay with Mutations and Onco-Protein Inhibitor Drugs
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11. Detection of driver pathways using mutated gene network in cancer
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12. Systems Medicine in Oncology: Signaling Network Modeling and New-Generation Decision-Support Systems
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13. SSA-ME Detection of cancer driver genes using mutual exclusivity by small subnetwork analysis
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14. Mechanisms of Oncogene Activation
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15. How to get the most from microarray data: advice from reverse genomics
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16. Exploring the Pathological Mechanism of Bladder Cancer Based on Tumor Mutational Burden Analysis
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17. CDPath: Cooperative Driver Pathways Discovery Using Integer Linear Programming and Markov Clustering
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18. Landscape of MicroRNA Regulatory Network Architecture and Functional Rerouting in Cancer
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19. Approaches for the identification of driver mutations in cancer: A tutorial from a computational perspective
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20. The regulation role and diagnostic value of fibrinogen-like protein 1 revealed by pan-cancer analysis
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21. Remarkable difference of somatic mutation patterns between oncogenes and tumor suppressor genes
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22. The Novel Protein Suppressed in Lung Cancer Down-Regulated in Lung Cancer Tissues Retards Cell Proliferation and Inhibits the Oncokinase Aurora-A
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23. LKB1, TP16, EGFR, and KRAS somatic mutations in lung adenocarcinomas from a Chiba Prefecture, Japan cohort
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24. Prediction of Driver Modules via Balancing Exclusive Coverages of Mutations in Cancer Samples
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25. QuaDMutNetEx: a method for detecting cancer driver genes with low mutation frequency
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26. Epigenomic annotation of noncoding mutations identifies mutated pathways in primary liver cancer
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28. Analysis of pathway mutation profiles highlights collaboration between cancer-associated superpathways
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29. Cooperative driver pathway discovery via fusion of multi-relational data of genes, miRNAs and pathways
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30. Analysis, identification and visualization of subgroups in genomics
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31. Comparative analyses of individual and multiple alterations of p53, PTEN and p16 in non-small cell lung carcinoma, glioma and breast carcinoma samples
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32. A novel and efficient algorithm for de novo discovery of mutated driver pathways in cancer
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33. S100a4 upregulation in Pik3caH1047R;Trp53R270H;MMTV-Cre-driven mammary tumors promotes metastasis
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34. CoMEt: A Statistical Approach to Identify Combinations of Mutually Exclusive Alterations in Cancer
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35. A double-stranded DNA catalyzed strand displacement system for detection of small genetic variations
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36. Scinderin is a potential prognostic biomarker and correlated with immunological regulation: from pan-cancer analysis to liver hepatocellular carcinoma
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37. Systems medicine in colorectal cancer: from a mathematical model toward a new type of clinical trial
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38. Predicting Autism Using Naive Bayesian Classification Approach
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39. Finding co-mutated genes and candidate cancer genes in cancer genomes by stratified false discovery rate control
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40. QuaDMutEx: quadratic driver mutation explorer
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41. Identifying Cancer Specific Driver Modules Using a Network-Based Method
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42. Knockdown of TMEM132A restrains the malignant phenotype of gastric cancer cells via inhibiting Wnt signaling
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43. A pathway-based mutation signature to predict the clinical outcomes and response to CTLA-4 inhibitors in melanoma
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44. Inferring Sequential Order of Somatic Mutations during Tumorgenesis based on Markov Chain Model
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45. Simulated Annealing Based Algorithm for Identifying Mutated Driver Pathways in Cancer
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46. Network-Based Method for Inferring Cancer Progression at the Pathway Level from Cross-Sectional Mutation Data
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47. On the Sample Complexity of Cancer Pathways Identification
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48. An integrated analysis of molecular aberrations in NCI-60 cell lines
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49. Simultaneous Inference of Cancer Pathways and Tumor Progression from Cross-Sectional Mutation Data
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50. Multiplicity: an organizing principle for cancers and somatic mutations
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51. Industasis, a Promotion of Tumor Formation by Nontumorigenic Stray Cells
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52. Concurrent somatic mutations in driver genes were significantly correlated with lymph node metastasis and pathological types in solid tumors
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53. A model and algorithm for identifying driver pathways based on weighted non-binary mutation matrix
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54. Concordance Analysis of ALK Gene Fusion Detection Methods in Patients with Non–Small-Cell Lung Cancer from Chile, Brazil, and Peru
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55. OMEN: network-based driver gene identification using mutual exclusivity
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56. Activating Mutations and Targeted Therapy in Cancer
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57. DriveWays: a method for identifying possibly overlapping driver pathways in cancer
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58. Mutational Signatures Driven by Epigenetic Determinants Enable the Stratification of Patients with Gastric Cancer for Therapeutic Intervention
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59. A pan-cancer landscape of telomeric content shows that RAD21 and HGF alterations are associated with longer telomeres
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61. Co-mutated pathways analysis highlights the coordination mechanism in glioblastoma multiforme
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62. Integrative cancer genomics: models, algorithms and analysis
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63. Molecular and Cell Biological Considerations in the Initiation and Development of Sporadic Non-Hereditary Solid Cancers
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68. Correction: Profiling Critical Cancer Gene Mutations in Clinical Tumor Samples
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70. Whole-exome sequencing reveals novel cancer genes and actionable targets in biliary tract cancers in primary sclerosing cholangitis
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72. Identifying collateral and synthetic lethal vulnerabilities within the DNA-damage response
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73. Can BAD pores be good? New insights from examining BAD as a target of RAF kinases
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74. Pathway-based dissection of the genomic heterogeneity of cancer hallmarks’ acquisition with SLAPenrich
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77. Unravelling the nexus: Towards a unified model of development, ageing, and cancer
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79. Low-Fidelity Alternative Dna Repair Carcinogenesis Theory May Interpret Many Cancer Features and Anticancer Strategies
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80. Adaptively Weighted and Robust Mathematical Programming for the Discovery of Driver Gene Sets in Cancers
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81. Identification of Common Driver Gene Modules and Associations between Cancers through Integrated Network Analysis
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82. Impact of bevacizumab on clinical outcomes and its comparison with standard chemotherapy in metastatic colorectal cancer patients: a systematic review and meta-analysis
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83. CoDP: Cooperative Driver Pathways Discovery With Matrix Factorization and Tri-Random Walk
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84. Analysis of candidate genes expected to be essential for melanoma surviving
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88. Identifying actionable synthetically lethal cancer gene pairs using mutual exclusivity
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89. Using iPSC-Based Models to Understand the Signaling and Cellular Phenotypes in Idiopathic Autism and 16p11.2 Derived Neurons
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91. Co-occurrence: A Gene Reference Resource for Coincidental Patterns of Gene Mutations in Human Cancers
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