Development and Validation of a Prognostic Nomogram to Guide Decision-Making for High-Grade Digestive Neuroendocrine Neoplasms

Author:

Lin Zhenyu1,Wang Haihong1,Zhang Yixuan2,Li Guiling1,Pi Guoliang3,Yu Xianjun4,Chen Yaobing5,Jin Kaizhou4,Chen Liangkai6,Yang Shengli1,Zhu Ying1,Wu Gang1,Chen Jie2,Zhang Tao1

Affiliation:

1. Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China

2. Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China

3. Department of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China

4. Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China

5. Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China

6. Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China

Abstract

Abstract Background The objective of this study was to develop and validate a nomogram to predict 1-year overall survival (OS) and 2-year OS in patients with high-grade digestive neuroendocrine neoplasms (NENs) as well as to guide selection of subgroups that could benefit from systemic chemotherapy. Subjects, Materials, and Methods We performed a retrospective analysis of 223 patients with NENs of the gut and hepato-biliary-pancreatic system from four centers included in the development cohort. The nomogram was externally validated in a cohort of 90 patients from another one. Results The final model included lactate dehydrogenase, performance status, stage, Ki67, and site of primary tumor, all of which had a significant effect on OS. The uncorrected C-index was 0.761 for OS, and the bias-corrected C-index was 0.744. Predictions correlated well with observed 1-year and 2-year outcomes (judged by eye). The area under the time-dependent receiver operating characteristic curve at 12 months and 24 months was 0.876 and 0.838, respectively. The nomogram performed well in terms of both discrimination and calibration when applied to the validation cohort, and OS was significantly different between the two groups classified by nomogram score (log-rank p < .001). Conclusion The validated nomogram provided useful prediction of OS, which can be offered for clinicians to improve their abilities to assess patient prognosis, to create clinical risk groups for informing treatment or for patient stratification by disease severity in clinical trials.

Funder

National Natural Science Foundation of China

Foundation of Guangzhou Science and Technology Plan

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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