Combination of c-reactive protein and squamous cell carcinoma antigen in predicting postoperative prognosis for patients with squamous cell carcinoma of the esophagus
被引:6
作者:
Feng, Ji-Feng
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机构:
Zhejiang Canc Hosp, Dept Thorac Surg, Hangzhou 310022, Zhejiang, Peoples R China
Key Lab Diag & Treatment Technol Thorac Oncol, Hangzhou 310022, Zhejiang, Peoples R ChinaZhejiang Canc Hosp, Dept Thorac Surg, Hangzhou 310022, Zhejiang, Peoples R China
Feng, Ji-Feng
[1
,2
]
Chen, Sheng
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机构:
Zhejiang Canc Hosp, Dept Thorac Surg, Hangzhou 310022, Zhejiang, Peoples R China
Key Lab Diag & Treatment Technol Thorac Oncol, Hangzhou 310022, Zhejiang, Peoples R ChinaZhejiang Canc Hosp, Dept Thorac Surg, Hangzhou 310022, Zhejiang, Peoples R China
Chen, Sheng
[1
,2
]
Yang, Xun
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Zhejiang Canc Hosp, Dept Thorac Surg, Hangzhou 310022, Zhejiang, Peoples R China
Key Lab Diag & Treatment Technol Thorac Oncol, Hangzhou 310022, Zhejiang, Peoples R ChinaZhejiang Canc Hosp, Dept Thorac Surg, Hangzhou 310022, Zhejiang, Peoples R China
Yang, Xun
[1
,2
]
机构:
[1] Zhejiang Canc Hosp, Dept Thorac Surg, Hangzhou 310022, Zhejiang, Peoples R China
[2] Key Lab Diag & Treatment Technol Thorac Oncol, Hangzhou 310022, Zhejiang, Peoples R China
Background: We initially proposed a useful and novel prognostic model, named CCS [Combination of c-reactive protein (CRP) and squamous cell carcinoma antigen (SCC)], for predicting the postoperative survival in patients with esophageal squamous cell carcinoma (ESCC). Methods: Two hundred and fifty-two patients with resectable ESCC were included in this retrospective study. A logistic regression was performed and yielded a logistic equation. The CCS was calculated by the combined CRP and SCC. The optimal cut-off value for CCS was evaluated by X-tile program. Univariate and multivariate analyses were used to evaluate the predictive factors. In addition, a novel nomogram model was also performed to predict the prognosis for patients with ESCC. Results: In the current study, CCS was calculated as CRP+6.33 SCC according to the logistic equation. The optimal cut-off value was 15.8 for CCS according to the X-tile program. Kaplan-Meier analyses demonstrated that high CCS group had a significantly poor 5-year cancer-specific survival (CSS) than low CCS group (10.3% vs. 47.3%, P < 0.001). According to multivariate analyses, CCS (P = 0.004), but not CRP (P = 0.466) or SCC (P = 0.926), was an independent prognostic factor. A nomogram could be more accuracy for CSS (Harrell's c-index: 0.70). Conclusion: The CCS is a usefull and independent predictive factor in patients with ESCC.