Title |
Circulating MACC1 Transcripts in Colorectal Cancer Patient Plasma Predict Metastasis and Prognosis
|
---|---|
Published in |
PLOS ONE, November 2012
|
DOI | 10.1371/journal.pone.0049249 |
Pubmed ID | |
Authors |
Ulrike Stein, Susen Burock, Pia Herrmann, Ina Wendler, Markus Niederstrasser, Klaus-Dieter Wernecke, Peter M. Schlag |
Abstract |
Metastasis is the most frequent cause of treatment failure and death in colorectal cancer. Early detection of tumors and metastases is crucial for improving treatment strategies and patient outcome. Development of reliable biomarkers and simple tests routinely applicable in the clinic for detection, prognostication, and therapy monitoring is of special interest. We recently identified the novel gene Metastasis-Associated in Colon Cancer 1 (MACC1), a key regulator of the HGF/Met-pathway. MACC1 is a strong prognostic biomarker for colon cancer metastasis and allows identification of high-risk subjects in early stages, when determined in patients' primary tumors. To overcome the limitation of a restricted number of molecular analyses in tumor tissue, the establishment of a non-invasive blood test for early identification of high-risk cancer patients, for monitoring disease course and therapy response is strongly needed. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Peru | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 2% |
Austria | 1 | 2% |
South Africa | 1 | 2% |
Japan | 1 | 2% |
United States | 1 | 2% |
Unknown | 61 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 27% |
Researcher | 16 | 24% |
Student > Master | 8 | 12% |
Other | 4 | 6% |
Student > Bachelor | 3 | 5% |
Other | 11 | 17% |
Unknown | 6 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 17 | 26% |
Medicine and Dentistry | 16 | 24% |
Biochemistry, Genetics and Molecular Biology | 11 | 17% |
Engineering | 3 | 5% |
Nursing and Health Professions | 3 | 5% |
Other | 9 | 14% |
Unknown | 7 | 11% |