Frontiers in Oncology (Feb 2023)

Increases prognostic value of clinical-pathological nomogram in patients with esophageal squamous cell carcinoma

  • Jing Feng Hu,
  • Jing Feng Hu,
  • Xin Song,
  • Xin Song,
  • Kan Zhong,
  • Kan Zhong,
  • Xue Ke Zhao,
  • Xue Ke Zhao,
  • Fu You Zhou,
  • Rui Hua Xu,
  • Rui Hua Xu,
  • Ji Lin Li,
  • Xian Zeng Wang,
  • Xue Min Li,
  • Pan Pan Wang,
  • Pan Pan Wang,
  • Ling Ling Lei,
  • Ling Ling Lei,
  • Meng Xia Wei,
  • Meng Xia Wei,
  • Ran Wang,
  • Ran Wang,
  • Zong Min Fan,
  • Zong Min Fan,
  • Xue Na Han,
  • Xue Na Han,
  • Yao Chen,
  • Yao Chen,
  • Liu Yu Li,
  • Liu Yu Li,
  • Jia Jia Ji,
  • Jia Jia Ji,
  • Yuan Ze Yang,
  • Yuan Ze Yang,
  • Bei Li,
  • Bei Li,
  • Miao Miao Yang,
  • Miao Miao Yang,
  • Hai Jun Yang,
  • Fu Bao Chang,
  • Jing Li Ren,
  • Sheng Li Zhou,
  • Li Dong Wang,
  • Li Dong Wang

DOI
https://doi.org/10.3389/fonc.2023.997776
Journal volume & issue
Vol. 13

Abstract

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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 (P<0.001). A clinical-pathological nomogram was constructed by combining clinical and pathological characteristics to predict the overall survival. In comparison with TNM stage, the concordance index and time-dependent receiver operating characteristic of the clinical-pathological nomogram showed better predictive value (P<0.001). High quality of calibration plots in overall survival was noticed. As demonstrated by the decision curve analysis, the nomogram has better value than the TNM stage.ConclusionsAs 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.

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