Title |
Tumor classification: molecular analysis meets Aristotle
|
---|---|
Published in |
BMC Cancer, March 2004
|
DOI | 10.1186/1471-2407-4-10 |
Pubmed ID | |
Authors |
Jules J Berman |
Abstract |
Traditionally, tumors have been classified by their morphologic appearances. Unfortunately, tumors with similar histologic features often follow different clinical courses or respond differently to chemotherapy. Limitations in the clinical utility of morphology-based tumor classifications have prompted a search for a new tumor classification based on molecular analysis. Gene expression array data and proteomic data from tumor samples will provide complex data that is unobtainable from morphologic examination alone. The growing question facing cancer researchers is, "How can we successfully integrate the molecular, morphologic and clinical characteristics of human cancer to produce a helpful tumor classification?" |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 1% |
Brazil | 1 | 1% |
United Kingdom | 1 | 1% |
Canada | 1 | 1% |
Egypt | 1 | 1% |
Belgium | 1 | 1% |
Unknown | 80 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 17% |
Student > Master | 15 | 17% |
Researcher | 11 | 13% |
Student > Bachelor | 7 | 8% |
Other | 7 | 8% |
Other | 16 | 19% |
Unknown | 15 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 22 | 26% |
Medicine and Dentistry | 17 | 20% |
Biochemistry, Genetics and Molecular Biology | 16 | 19% |
Nursing and Health Professions | 4 | 5% |
Computer Science | 3 | 3% |
Other | 9 | 10% |
Unknown | 15 | 17% |