| Title |
Integrated Analysis of Gene Expression and Tumor Nuclear Image Profiles Associated with Chemotherapy Response in Serous Ovarian Carcinoma
|
|---|---|
| Published in |
PLOS ONE, May 2012
|
| DOI | 10.1371/journal.pone.0036383 |
| Pubmed ID | |
| Authors |
Yuexin Liu, Yan Sun, Russell Broaddus, Jinsong Liu, Anil K. Sood, Ilya Shmulevich, Wei Zhang |
| Abstract |
Small sample sizes used in previous studies result in a lack of overlap between the reported gene signatures for prediction of chemotherapy response. Although morphologic features, especially tumor nuclear morphology, are important for cancer grading, little research has been reported on quantitatively correlating cellular morphology with chemotherapy response, especially in a large data set. In this study, we have used a large population of patients to identify molecular and morphologic signatures associated with chemotherapy response in serous ovarian carcinoma. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Czechia | 1 | 2% |
| Unknown | 43 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 33% |
| Student > Ph. D. Student | 12 | 27% |
| Professor > Associate Professor | 4 | 9% |
| Other | 3 | 7% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 16% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 24% |
| Medicine and Dentistry | 10 | 22% |
| Computer Science | 8 | 18% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Chemistry | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 4 | 9% |