Clinical Network Systems Biology: Traversing the Cancer Multiverse
In recent decades, cancer biology and medicine have ushered in a new age of precision medicine through high-throughput approaches that led to the development of novel targeted therapies and immunotherapies for different cancers. The availability of multifaceted high-throughput omics data has reveale...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/12/13/4535 |
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| author | Isa Mambetsariev Jeremy Fricke Stephen B. Gruber Tingting Tan Razmig Babikian Pauline Kim Priya Vishnubhotla Jianjun Chen Prakash Kulkarni Ravi Salgia |
| author_facet | Isa Mambetsariev Jeremy Fricke Stephen B. Gruber Tingting Tan Razmig Babikian Pauline Kim Priya Vishnubhotla Jianjun Chen Prakash Kulkarni Ravi Salgia |
| author_sort | Isa Mambetsariev |
| collection | DOAJ |
| description | In recent decades, cancer biology and medicine have ushered in a new age of precision medicine through high-throughput approaches that led to the development of novel targeted therapies and immunotherapies for different cancers. The availability of multifaceted high-throughput omics data has revealed that cancer, beyond its genomic heterogeneity, is a complex system of microenvironments, sub-clonal tumor populations, and a variety of other cell types that impinge on the genetic and non-genetic mechanisms underlying the disease. Thus, a systems approach to cancer biology has become instrumental in identifying the key components of tumor initiation, progression, and the eventual emergence of drug resistance. Through the union of clinical medicine and basic sciences, there has been a revolution in the development and approval of cancer therapeutic drug options including tyrosine kinase inhibitors, antibody–drug conjugates, and immunotherapy. This ‘Team Medicine’ approach within the cancer systems biology framework can be further improved upon through the development of high-throughput clinical trial models that utilize machine learning models, rapid sample processing to grow patient tumor cell cultures, test multiple therapeutic options and assign appropriate therapy to individual patients quickly and efficiently. The integration of systems biology into the clinical network would allow for rapid advances in personalized medicine that are often hindered by a lack of drug development and drug testing. |
| first_indexed | 2024-03-11T01:36:54Z |
| format | Article |
| id | doaj.art-340c0c0322c445c183f6e03e7d892867 |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-11T01:36:54Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-340c0c0322c445c183f6e03e7d8928672023-11-18T16:55:17ZengMDPI AGJournal of Clinical Medicine2077-03832023-07-011213453510.3390/jcm12134535Clinical Network Systems Biology: Traversing the Cancer MultiverseIsa Mambetsariev0Jeremy Fricke1Stephen B. Gruber2Tingting Tan3Razmig Babikian4Pauline Kim5Priya Vishnubhotla6Jianjun Chen7Prakash Kulkarni8Ravi Salgia9Department of Medical Oncology and Therapeutic Research, City of Hope National Medical Center, Duarte, CA 91010, USADepartment of Medical Oncology and Therapeutic Research, City of Hope National Medical Center, Duarte, CA 91010, USADepartment of Medical Oncology and Therapeutic Research, City of Hope National Medical Center, Duarte, CA 91010, USADepartment of Medical Oncology and Therapeutic Research, City of Hope National Medical Center, Duarte, CA 91010, USADepartment of Medical Oncology and Therapeutic Research, City of Hope National Medical Center, Duarte, CA 91010, USADepartment of Pharmacy, City of Hope National Medical Center, Duarte, CA 91010, USADepartment of Medical Oncology and Therapeutic Research, City of Hope National Medical Center, Duarte, CA 91010, USADepartment of Systems Biology, City of Hope National Medical Center, Duarte, CA 91010, USADepartment of Medical Oncology and Therapeutic Research, City of Hope National Medical Center, Duarte, CA 91010, USADepartment of Medical Oncology and Therapeutic Research, City of Hope National Medical Center, Duarte, CA 91010, USAIn recent decades, cancer biology and medicine have ushered in a new age of precision medicine through high-throughput approaches that led to the development of novel targeted therapies and immunotherapies for different cancers. The availability of multifaceted high-throughput omics data has revealed that cancer, beyond its genomic heterogeneity, is a complex system of microenvironments, sub-clonal tumor populations, and a variety of other cell types that impinge on the genetic and non-genetic mechanisms underlying the disease. Thus, a systems approach to cancer biology has become instrumental in identifying the key components of tumor initiation, progression, and the eventual emergence of drug resistance. Through the union of clinical medicine and basic sciences, there has been a revolution in the development and approval of cancer therapeutic drug options including tyrosine kinase inhibitors, antibody–drug conjugates, and immunotherapy. This ‘Team Medicine’ approach within the cancer systems biology framework can be further improved upon through the development of high-throughput clinical trial models that utilize machine learning models, rapid sample processing to grow patient tumor cell cultures, test multiple therapeutic options and assign appropriate therapy to individual patients quickly and efficiently. The integration of systems biology into the clinical network would allow for rapid advances in personalized medicine that are often hindered by a lack of drug development and drug testing.https://www.mdpi.com/2077-0383/12/13/4535team medicineprecision medicinecancer systems biologyclinical network systems biology |
| spellingShingle | Isa Mambetsariev Jeremy Fricke Stephen B. Gruber Tingting Tan Razmig Babikian Pauline Kim Priya Vishnubhotla Jianjun Chen Prakash Kulkarni Ravi Salgia Clinical Network Systems Biology: Traversing the Cancer Multiverse Journal of Clinical Medicine team medicine precision medicine cancer systems biology clinical network systems biology |
| title | Clinical Network Systems Biology: Traversing the Cancer Multiverse |
| title_full | Clinical Network Systems Biology: Traversing the Cancer Multiverse |
| title_fullStr | Clinical Network Systems Biology: Traversing the Cancer Multiverse |
| title_full_unstemmed | Clinical Network Systems Biology: Traversing the Cancer Multiverse |
| title_short | Clinical Network Systems Biology: Traversing the Cancer Multiverse |
| title_sort | clinical network systems biology traversing the cancer multiverse |
| topic | team medicine precision medicine cancer systems biology clinical network systems biology |
| url | https://www.mdpi.com/2077-0383/12/13/4535 |
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