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Mendeley readers
| Title |
Molecular signatures mostly associated with NK cells are predictive of relapse free survival in breast cancer patients
|
|---|---|
| Published in |
Journal of Translational Medicine, June 2013
|
| DOI | 10.1186/1479-5876-11-145 |
| Pubmed ID | |
| Authors |
Maria Libera Ascierto, Michael O Idowu, Yingdong Zhao, Hanif Khalak, Kyle K Payne, Xiang-Yang Wang, Catherine I Dumur, Davide Bedognetti, Sara Tomei, Paolo A Ascierto, Anil Shanker, Harry D Bear, Ena Wang, Francesco M Marincola, Andrea De Maria, Masoud H Manjili |
| Abstract |
Recent observations suggest that immune-mediated tissue destruction is dependent upon coordinate activation of immune genes expressed by cells of the innate and adaptive immune systems. Here, we performed a retrospective pilot study to investigate whether the coordinate expression of molecular signature mostly associated with NK cells could be used to segregate breast cancer patients into relapse and relapse-free outcomes. By analyzing primary breast cancer specimens derived from patients who experienced either 58-116 months (~5-9 years) relapse-free survival or developed tumor relapse within 9-76 months (~1-6 years) we found that the expression of molecules involved in activating signaling of NK cells and in NK cells: target interaction is increased in patients with favorable prognosis. The parameters identified in this study, together with the prognostic signature previously reported by our group, highlight the cooperation between the innate and adaptive immune components within the tumor microenvironment. |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Greece | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 92 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 25% |
| Student > Ph. D. Student | 15 | 16% |
| Student > Master | 7 | 7% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 7 | 7% |
| Other | 19 | 20% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 24% |
| Biochemistry, Genetics and Molecular Biology | 16 | 17% |
| Medicine and Dentistry | 15 | 16% |
| Immunology and Microbiology | 13 | 14% |
| Nursing and Health Professions | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 18 | 19% |