| Chapter title |
Perspectives of Reprogramming Breast Cancer Metabolism
|
|---|---|
| Chapter number | 10 |
| Book title |
Translational Research in Breast Cancer
|
| Published in |
Advances in experimental medicine and biology, January 2017
|
| DOI | 10.1007/978-981-10-6020-5_10 |
| Pubmed ID | |
| Book ISBNs |
978-9-81-106019-9, 978-9-81-106020-5
|
| Authors |
Yi-Ping Wang, Qun-Ying Lei, Wang, Yi-Ping, Lei, Qun-Ying |
| Abstract |
Reprogramming of cellular metabolism is one of the hallmarks of breast cancer. Breast cancer cells remodel metabolic network to maintain their transformed state and survive in a harsh tumor microenvironment. Dysregulated metabolism further interacts with cellular signaling and epigenetics to promote breast cancer development. Meanwhile, breast cancer stem cells exhibit unique metabolic features, which are critical for therapeutic resistance and tumor recurrence. Besides, aberrant metabolism of breast cancer cells reshapes tumor microenvironment, such as promoting cancer vascularization and sabotaging tumor immunity, to accelerate tumor progression. These special metabolic traits not only open vulnerabilities of breast cancer by targeting essential metabolic pathways but also provide promising diagnostic and prognostic biomarkers to facilitate clinical investigations. Studies in the last few decades have significantly advanced our understanding of mechanisms underlying the reprogramming of breast cancer metabolism and metabolic regulation of breast cancer biology. Targeting tumor metabolism serves as a potentially effective therapeutic approach to suppress breast cancer. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 16% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Master | 6 | 12% |
| Student > Doctoral Student | 3 | 6% |
| Unspecified | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 20 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 22% |
| Agricultural and Biological Sciences | 7 | 14% |
| Medicine and Dentistry | 4 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Engineering | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 19 | 39% |