| Title |
CAF cellular glycolysis: linking cancer cells with the microenvironment
|
|---|---|
| Published in |
Tumor Biology, April 2016
|
| DOI | 10.1007/s13277-016-5049-3 |
| Pubmed ID | |
| Authors |
Amrita Roy, Soumen Bera |
| Abstract |
Cancers have long being hallmarked as cells relying heavily on their glycolysis for energy generation in spite of having functional mitochondria. The metabolic status of the cancer cells have been revisited time and again to get better insight into the overall carcinogenesis process which revealed the apparent crosstalks between the cancer cells with the fibroblasts present in the tumour microenvironment. This review focuses on the mechanisms of transformations of normal fibroblasts to cancer-associated fibroblasts (CAF), the participation of the CAF in tumour progression with special interest to the role of CAF cellular glycolysis in the overall tumorigenesis. The fibroblasts, when undergoes the transformation process, distinctly switches to a more glycolytic phenotype in order to provide the metabolic intermediates necessary for carrying out the mitochondrial pathways of ATP generation in cancer cells. This review will also discuss the molecular mechanisms responsible for this metabolic make over promoting glycolysis in CAF cells. A thorough investigation of the pathways and molecules involved will not only help in understanding the process of activation and metabolic reprogramming in CAF cells but also might open up new targets for cancer therapy. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 21% |
| Researcher | 11 | 18% |
| Student > Bachelor | 7 | 11% |
| Student > Master | 6 | 10% |
| Student > Doctoral Student | 2 | 3% |
| Other | 10 | 16% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 31% |
| Medicine and Dentistry | 9 | 15% |
| Agricultural and Biological Sciences | 8 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 7% |
| Immunology and Microbiology | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 13 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 April 2016.
All research outputs
#18,451,892
of 22,862,742 outputs
Outputs from Tumor Biology
#1,369
of 2,622 outputs
Outputs of similar age
#220,231
of 300,837 outputs
Outputs of similar age from Tumor Biology
#24
of 47 outputs
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