Title |
Putative stem cell markers in cervical squamous cell carcinoma are correlated with poor clinical outcome
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Published in |
BMC Cancer, October 2015
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DOI | 10.1186/s12885-015-1826-4 |
Pubmed ID | |
Authors |
Teng Hou, Weijing Zhang, Chongjie Tong, Gallina Kazobinka, Xin Huang, Yongwen Huang, Yanna Zhang |
Abstract |
The aim of this study was to elucidate the value of putative cancer stem cell markers Musashi-1, ALDH1, Sox2, and CD49f in predicting the prognosis in cervical squamous cell carcinoma (CSCC). Real-time PCR and immunohistochemistry staining was performed to examine Musashi-1, ALDH1, Sox2, and CD49f expression in archived specimens of CSCC patients with postoperative chemotherapy. Kaplan-Meier analysis and Cox proportional hazards model were used to assess the prognostic impact of CSC markers for overall survival (OS) and recurrent-free survival (RFS). The Real-time PCR data showed that the expression of all markers were increased in CSCC tissues compared with in paired normal cervical tissues (P < 0.05). The IHC result showed that high expression of Msi1, ALDH1, Sox2, and CD49f was found in 25.7 %, 43.0 %, 62.0 % and 29.0 % CSCC samples, respectively. Moreover, high expression of Msi1 (P = 0.033 and P = 0.003, respectively), ALDH1 (P = 0.015 and P = 0.002, respectively), and Sox2 (P = 0.005 and P = 0.003, respectively), and low expression of CD49f (P = 0.027 and P = 0.025, respectively) were correlated with poor OS and PFS in CSCC patients. Interestingly, tumors with Msi1high/CD49flow expression had the poorest prognosis according to Msi1/CD49f stratification. In multivariate Cox regression analysis, Sox2 expression (P = 0.047 and P = 0.018, respectively), ALDH1 expression (P = 0.013 and P = 0.003, respectively), and CD49f expression (P = 0.008 and P = 0.003, respectively) were independent prognostic markers for both OS and RFS. Our results suggest that cancer stem cell markers are linked with poor prognosis of CSCC patients. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Iran, Islamic Republic of | 1 | 3% |
Unknown | 34 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 29% |
Researcher | 6 | 17% |
Student > Ph. D. Student | 5 | 14% |
Student > Bachelor | 3 | 9% |
Professor | 2 | 6% |
Other | 3 | 9% |
Unknown | 6 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 10 | 29% |
Medicine and Dentistry | 10 | 29% |
Agricultural and Biological Sciences | 6 | 17% |
Immunology and Microbiology | 1 | 3% |
Nursing and Health Professions | 1 | 3% |
Other | 0 | 0% |
Unknown | 7 | 20% |