| Title |
Molecular Profiling of Multiple Human Cancers Defines an Inflammatory Cancer-Associated Molecular Pattern and Uncovers KPNA2 as a Uniform Poor Prognostic Cancer Marker
|
|---|---|
| Published in |
PLOS ONE, March 2013
|
| DOI | 10.1371/journal.pone.0057911 |
| Pubmed ID | |
| Authors |
Saleh M. Rachidi, Tingting Qin, Shaoli Sun, W. Jim Zheng, Zihai Li |
| Abstract |
Immune evasion is one of the recognized hallmarks of cancer. Inflammatory responses to cancer can also contribute directly to oncogenesis. Since the immune system is hardwired to protect the host, there is a possibility that cancers, regardless of their histological origins, endow themselves with a common and shared inflammatory cancer-associated molecular pattern (iCAMP) to promote oncoinflammation. However, the definition of iCAMP has not been conceptually and experimentally investigated. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 21% |
| Student > Ph. D. Student | 17 | 19% |
| Student > Bachelor | 10 | 11% |
| Student > Master | 10 | 11% |
| Student > Doctoral Student | 9 | 10% |
| Other | 12 | 13% |
| Unknown | 13 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 28% |
| Agricultural and Biological Sciences | 18 | 20% |
| Biochemistry, Genetics and Molecular Biology | 17 | 19% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
| Computer Science | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 14 | 16% |