Molecular network study of pituitary adenomas
Pituitary adenomas are a category of neoplasms with a high degree of heterogeneity that occur in the central regulatory organ pituitary, which plays important roles in the hypothalamus–pituitary-targeted organ axis systems that impact on important physiological functions of human body. Rapidly devel...
Shranjeno v:
| Format: | Online |
|---|---|
| Jezik: | angleščina |
| Izdano: |
Frontiers Media SA
2021
|
| Teme: | |
| Online dostop: | ONIX_20211118_9782889636020_876 |
| Oznake: |
Brez oznak, prvi označite!
|
| _version_ | 1869519182101479424 |
|---|---|
| collection | Directory of Open Access Books |
| description | Pituitary adenomas are a category of neoplasms with a high degree of heterogeneity that occur in the central regulatory organ pituitary, which plays important roles in the hypothalamus–pituitary-targeted organ axis systems that impact on important physiological functions of human body. Rapidly developed multi-omics and systems biology are impacting on treatment of pituitary adenomas and changing the paradigms from the traditional single-factor strategy to a multi-parameter systematic strategy. A series of molecular alterations at different levels of genes (genome), RNAs (transcriptome), proteins (proteome), peptides (peptidome), metabolites (metabolome), and imaging characteristics (radiome) that resulted from exogenous and endogenous carcinogens are involved in pituitary tumorigenesis and mutually associate and function in a molecular network system, thus determines the difficulty in the use of a single molecule as biomarker to clarify its molecular mechanisms, and to predict, prevent, diagnose, and treat a pituitary adenoma. Of them, molecular network study plays central roles. A key molecule-panel biomarker that is derived from molecular network is necessary for accurately clinical practice of a pituitary adenoma. The modern multi-omics, computation biology, and systems biology technologies lead to the possibility in recognizing really reliable molecular-panel biomarker for research and clinical practice in pituitary adenomas. |
| format | Online |
| id | doab-20.500.12854ir-73744 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-737442024-03-31T13:08:00Z Molecular network study of pituitary adenomas Zhan, Xianquan Desiderio, Dominic M. pituitary adenoma signaling pathway molecular network multi-omics personalized medicine precision medicine therapeutic target molecule-panel biomarker thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJG Endocrinology Pituitary adenomas are a category of neoplasms with a high degree of heterogeneity that occur in the central regulatory organ pituitary, which plays important roles in the hypothalamus–pituitary-targeted organ axis systems that impact on important physiological functions of human body. Rapidly developed multi-omics and systems biology are impacting on treatment of pituitary adenomas and changing the paradigms from the traditional single-factor strategy to a multi-parameter systematic strategy. A series of molecular alterations at different levels of genes (genome), RNAs (transcriptome), proteins (proteome), peptides (peptidome), metabolites (metabolome), and imaging characteristics (radiome) that resulted from exogenous and endogenous carcinogens are involved in pituitary tumorigenesis and mutually associate and function in a molecular network system, thus determines the difficulty in the use of a single molecule as biomarker to clarify its molecular mechanisms, and to predict, prevent, diagnose, and treat a pituitary adenoma. Of them, molecular network study plays central roles. A key molecule-panel biomarker that is derived from molecular network is necessary for accurately clinical practice of a pituitary adenoma. The modern multi-omics, computation biology, and systems biology technologies lead to the possibility in recognizing really reliable molecular-panel biomarker for research and clinical practice in pituitary adenomas. 2021-11-18T16:23:49Z 2021-11-18T16:23:49Z 2020 book ONIX_20211118_9782889636020_876 9782889636020 https://directory.doabooks.org/handle/20.500.12854/73744 eng image/jpeg Attribution 4.0 International https://www.frontiersin.org/research-topics/7633/molecular-network-study-of-pituitary-adenomas https://www.frontiersin.org/research-topics/7633/molecular-network-study-of-pituitary-adenomas Frontiers Media SA 10.3389/978-2-88963-602-0 10.3389/978-2-88963-602-0 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889636020 210 open access |
| spellingShingle | pituitary adenoma signaling pathway molecular network multi-omics personalized medicine precision medicine therapeutic target molecule-panel biomarker thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJG Endocrinology Molecular network study of pituitary adenomas |
| title | Molecular network study of pituitary adenomas |
| title_full | Molecular network study of pituitary adenomas |
| title_fullStr | Molecular network study of pituitary adenomas |
| title_full_unstemmed | Molecular network study of pituitary adenomas |
| title_short | Molecular network study of pituitary adenomas |
| title_sort | molecular network study of pituitary adenomas |
| topic | pituitary adenoma signaling pathway molecular network multi-omics personalized medicine precision medicine therapeutic target molecule-panel biomarker thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJG Endocrinology |
| topic_facet | pituitary adenoma signaling pathway molecular network multi-omics personalized medicine precision medicine therapeutic target molecule-panel biomarker thema EDItEUR::M Medicine and Nursing thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJG Endocrinology |
| url | ONIX_20211118_9782889636020_876 |