| Autor: |
Jing Feng Hu, Xin Song, Kan Zhong, Xue Ke Zhao, Fu You Zhou, Rui Hua Xu, Ji Lin Li, Xian Zeng Wang, Xue Min Li, Pan Pan Wang, Ling Ling Lei, Meng Xia Wei, Ran Wang, Zong Min Fan, Xue Na Han, Yao Chen, Liu Yu Li, Jia Jia Ji, Yuan Ze Yang, Bei Li, Miao Miao Yang, Hai Jun Yang, Fu Bao Chang, Jing Li Ren, Sheng Li Zhou, Li Dong Wang |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Frontiers in Oncology. 13 |
| ISSN: |
2234-943X |
| Popis: |
BackgroundThis study was intended to construct a brand new prognostic nomogram after combine clinical and pathological characteristics to increases prognostic value in patients with esophageal squamous cell carcinoma.MethodsA total of 1,634 patients were included. Subsequently, the tumor tissues of all patients were prepared into tissue microarrays. AIPATHWELL software was employed to explore tissue microarrays and calculate the tumor-stroma ratio. X-tile was adopted to find the optimal cut-off value. Univariate and multivariate Cox analyses were used to screen out remarkable characteristics for constructing the nomogram in the total populations. A novel prognostic nomogram with clinical and pathological characteristics was constructed on the basis of the training cohort (n=1,144). What’s more performance was validated in the validation cohort (n=490). Clinical-pathological nomogram were assessed by concordance index, time-dependent receiver operating characteristic, calibration curve and decision curve analysis.ResultsThe patients can divide into two groups with cut-off value of 69.78 for the tumor-stroma ratio. It is noteworthy that the survival difference was noticeable (PPConclusionsAs evidently revealed by the research findings, tumor-stroma ratio is an independent prognostic factor in patients with esophageal squamous cell carcinoma. The clinical-pathological nomogram has an incremental value compared TNM stage in predicting overall survival. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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