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System for precisely predicting prognoses of patients with gastro-entero-pancreatic neuroendocrine tumors

A technology for patients with neuroendocrine and tumors, applied in health index calculation, medical informatics, informatics, etc., can solve problems such as lack of data support, achieve the effects of improving accuracy, avoiding insufficient treatment, and preventing waste of medical resources

Pending Publication Date: 2019-07-16
SUN YAT SEN UNIV
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Problems solved by technology

However, due to differences in cancer types, biological characteristics, races, stages, and treatment modes, there is still a lack of sufficient data support for gastroenteropancreatic neuroendocrine tumors (GEP-NENs), a rare digestive system tumor, and there have been sporadic reports in recent years. A preliminary exploration of the Nomogram prediction model in patients with neuroendocrine tumors of the pancreas, small intestine, and stomach in European and American countries. However, these studies collected data from patients with small sample sizes and focused on neuroendocrine tumors at a single site.

Method used

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  • System for precisely predicting prognoses of patients with gastro-entero-pancreatic neuroendocrine tumors
  • System for precisely predicting prognoses of patients with gastro-entero-pancreatic neuroendocrine tumors

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Embodiment 1

[0032] The present invention first establishes a domestic multi-center, large sample, complete clinicopathological data and follow-up data of gastroenteropancreatic neuroendocrine tumors (GEP-NENs) clinical database, by selecting from the basic data of 1468 cases of Chinese GEP-NENs patients 1,183 patients met the requirements; at the same time, 10,236 GEP-NENs patients who met the requirements were searched and screened using the world's largest cancer database - the National Cancer Institute SEER database. Secondly, use these two databases as the basis for constructing the prediction model, use a model training set and an external verification set to make predictions and calculate their prediction accuracy, and finally compare the predicted survival of patients with the actual survival of patients Yes, to evaluate predictive performance. The detailed results are as follows:

[0033] 1. Through conditional screening of 1468 patients with gastroenteropancreatic neuroendocrine...

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Abstract

The invention provides a system for precisely predicting prognoses of patients with gastro-entero-pancreatic neuroendocrine tumors. The system is based on a Nomogram prognosis prediction model constructed by the invention; the system has the characteristics of high precision and individualized prediction, and conforms to gastro-entero-pancreatic neuroendocrine tumors prognosis prediction with Chinese characteristics compared with a traditional TNM (Tumor-node-metastasis) staging system. Meanwhile, the system has good guidance effect on selection of patient individualized treatment strategies,design of new drug clinical tests and standardization of consistency of the enrolled patients in clinical work.

Description

technical field [0001] The invention relates to a system for accurately predicting the prognosis of patients with gastroenteropancreatic neuroendocrine tumors. Background technique [0002] At present, the global prognosis assessment system for malignant tumors is mainly based on the Tumor Invasion-Lymph Node Metastasis-Distant Metastasis (TNM) staging system developed by the International Union Against Cancer / American Cancer Society (UICC / AJCC). Biological characteristics, integrating the three basic characteristics of tumor invasion depth (T), lymph node metastasis (N) and whether there is distant metastasis (M) to evaluate the degree of tumor progression. It was first introduced in the 1940s and 1950s It was proposed by French scientist Pierre Denoix and organized by AJCC in 1977 to form the first version of TNM staging. Every few years thereafter, the AJCC will improve and update the staging based on the previous version and incorporate the latest clinical information. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30
CPCG16H50/30
Inventor 方成王玮周志伟
Owner SUN YAT SEN UNIV
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