Endocrine Connections (Oct 2018)

Development of predictive prognostic nomogram for NECs of rectum on population-based exploration

  • Yang Lv,
  • Ning Pu,
  • Wei-lin Mao,
  • Wen-qi Chen,
  • Huan-yu Wang,
  • Xu Han,
  • Yuan Ji,
  • Lei Zhang,
  • Da-yong Jin,
  • Wen-Hui Lou,
  • Xue-feng Xu

DOI
https://doi.org/10.1530/EC-18-0353
Journal volume & issue
Vol. 7, no. 11
pp. 1178 – 1185

Abstract

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Aim: We aim to investigate the clinical characteristics of the rectal NECs and the prognosis-related factors and construct a nomogram for prognosis prediction. Methods: The data of 41 patients and 1028 patients with rectal NEC were retrieved respectively from our institution and SEER database. OS or PFS was defined as the major study outcome. Variables were compared by chi-square test and t-test when appropriate. Kaplan–Meier analysis with log-rank test was used for survival analysis and the Cox regression analysis was applied. The nomogram integrating risk factors for predicting OS was constructed by R to achieve superior discriminatory ability. Predictive utility of the nomogram was determined by concordance index (C-index) and calibration curve. Results: In the univariate and multivariate analyses, tumor differentiation, N stage, M stage and resection of primary site were identified as independent prognostic indicators. The linear regression relationship was found between the value of Ki-67 index and the duration of OS (P < 0.05). Furthermore, the independent prognostic factors were added to formulate prognostic nomogram. The constructed nomogram showed good performance according to the C-index. Conclusions: Contrary to WHO classification guideline, we found that the rectal NEC diseases are heterogeneous and should be divided as different categories according to the pathological differentiation. Besides, the nomogram formulated in this study showed excellent discriminative capability to predict OS for those patients. More advanced predictive model for this disease is required to assist risk stratification via the formulated nomogram.

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