| Title |
Prognostic significance of annexin A2 and annexin A4 expression in patients with cervical cancer
|
|---|---|
| Published in |
BMC Cancer, July 2016
|
| DOI | 10.1186/s12885-016-2459-y |
| Pubmed ID | |
| Authors |
Chel Hun Choi, Joon-Yong Chung, Eun Joo Chung, John D. Sears, Jeong-Won Lee, Duk-Soo Bae, Stephen M. Hewitt |
| Abstract |
The annexins (ANXs) have diverse roles in tumor development and progression, however, their clinical significance in cervical cancer has not been elucidated. The present study was to investigate the clinical significance of annexin A2 (ANXA2) and annexin A4 (ANXA4) expression in cervical cancer. ANXA2 and ANXA4 immunohistochemical staining were performed on a cervical cancer tissue microarray consisting of 46 normal cervical epithelium samples and 336 cervical cancer cases and compared the data with clinicopathological variables, including the survival of cervical cancer patients. ANXA2 expression was lower in cancer tissue (p = 0.002), whereas ANXA4 staining increased significantly in cancer tissues (p < 0.001). ANXA2 expression was more prominent in squamous cell carcinoma (p < 0.001), whereas ANXA4 was more highly expressed in adeno/adenosquamous carcinoma (p < 0.001). ANXA2 overexpression was positively correlated with advanced cancer phenotypes, whereas ANXA4 expression was associated with resistance to radiation with or without chemotherapy (p = 0.029). Notably, high ANXA2 and ANXA4 expression was significantly associated with shorter disease-free survival (p = 0.004 and p = 0.033, respectively). Multivariate analysis indicated that ANXA2+ (HR = 2.72, p = 0.003) and ANXA2+/ANXA4+ (HR = 2.69, p = 0.039) are independent prognostic factors of disease-free survival in cervical cancer. Furthermore, a random survival forest model using combined ANXA2, ANXA4, and clinical variables resulted in improved predictive power (mean C-index, 0.76) compared to that of clinical-variable-only models (mean C-index, 0.70) (p = 0.006). These findings indicate that detecting ANXA2 and ANXA4 expression may aid the evaluation of cervical carcinoma prognosis. |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Researcher | 5 | 15% |
| Student > Bachelor | 4 | 12% |
| Professor > Associate Professor | 4 | 12% |
| Student > Master | 4 | 12% |
| Other | 5 | 15% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 26% |
| Medicine and Dentistry | 7 | 21% |
| Agricultural and Biological Sciences | 3 | 9% |
| Immunology and Microbiology | 3 | 9% |
| Computer Science | 3 | 9% |
| Other | 4 | 12% |
| Unknown | 5 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 July 2016.
All research outputs
#20,336,031
of 22,881,154 outputs
Outputs from BMC Cancer
#6,506
of 8,326 outputs
Outputs of similar age
#308,232
of 354,302 outputs
Outputs of similar age from BMC Cancer
#184
of 260 outputs
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