Title |
The interplay of extracellular matrix and microbiome in urothelial bladder cancer
|
---|---|
Published in |
Nature Reviews Urology, December 2015
|
DOI | 10.1038/nrurol.2015.292 |
Pubmed ID | |
Authors |
Massimo Alfano, Filippo Canducci, Manuela Nebuloni, Massimo Clementi, Francesco Montorsi, Andrea Salonia |
Abstract |
Many pathological changes in solid tumours are caused by the accumulation of genetic mutations and epigenetic molecular alterations. In addition, tumour progression is profoundly influenced by the environment surrounding the transformed cells. The interplay between tumour cells and their microenvironment has been recognized as one of the key determinants of cancer development and is being extensively investigated. Data suggest that both the extracellular matrix and the microbiota represent microenvironments that contribute to the onset and progression of tumours. Through the introduction of omics technologies and pyrosequencing analyses, a detailed investigation of these two microenvironments is now possible. In urological research, assessment of their dysregulation has become increasingly important to provide diagnostic, prognostic and predictive biomarkers for urothelial bladder cancer. Understanding the roles of the extracellular matrix and microbiota, two key components of the urothelial mucosa, in the sequelae of pathogenic events that occur in the development and progression of urothelial carcinomas will be important to overcome the shortcomings in current bladder cancer treatment strategies. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 22% |
France | 2 | 22% |
Germany | 1 | 11% |
Netherlands | 1 | 11% |
United Kingdom | 1 | 11% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | <1% |
Germany | 1 | <1% |
India | 1 | <1% |
United Kingdom | 1 | <1% |
Taiwan | 1 | <1% |
United States | 1 | <1% |
Unknown | 147 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 33 | 22% |
Student > Ph. D. Student | 23 | 15% |
Student > Master | 21 | 14% |
Student > Doctoral Student | 10 | 7% |
Student > Bachelor | 9 | 6% |
Other | 24 | 16% |
Unknown | 33 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 36 | 24% |
Biochemistry, Genetics and Molecular Biology | 25 | 16% |
Agricultural and Biological Sciences | 23 | 15% |
Immunology and Microbiology | 7 | 5% |
Nursing and Health Professions | 4 | 3% |
Other | 13 | 8% |
Unknown | 45 | 29% |