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- W2892266499 abstract "Large investments by pharmaceutical companies in the development of new antineoplastic drugs have not been resulting in adequate advances of new therapies. Despite the introduction of new methods, technologies, translational medicine and bioinformatics, the usage of collected knowledge is unsatisfactory. In this paper, using examples of pancreatic ductal adenocarcinoma (PaC) and castrate-resistant prostate cancer (CRPC), we proposed a concept showing that, in order to improve applicability of current knowledge in oncology, the re-clustering of clinical and scientific data is crucial. Such an approach, based on systems oncology, would include bridging of data on biomarkers and pathways between different cancer types. Proposed concept would introduce a new matrix, which enables combining of already approved therapies between cancer types. Paper provides a (a) detailed analysis of similarities in mechanisms of etiology and progression between PaC and CRPC, (b) diabetes as common hallmark of both cancer types and (c) knowledge gaps and directions of future investigations. Proposed horizontal and vertical matrix in cancer profiling has potency to improve current antineoplastic therapy efficacy. Systems biology map using Systems Biology Graphical Notation Language is used for summarizing complex interactions and similarities of mechanisms in biology of PaC and CRPC." @default.
- W2892266499 created "2018-09-27" @default.
- W2892266499 creator A5007312106 @default.
- W2892266499 creator A5029796591 @default.
- W2892266499 creator A5050653767 @default.
- W2892266499 creator A5085089545 @default.
- W2892266499 date "2018-09-16" @default.
- W2892266499 modified "2023-09-27" @default.
- W2892266499 title "Systems Oncology: Bridging Pancreatic and Castrate Resistant Prostate Cancer" @default.
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