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Pheochromocytoma Metastasis Prediction System Based on Molecular Markers

A pheochromocytoma, molecular marker technology, applied in medical informatics, health index calculation, computer-aided medical procedures, etc. Effect

Active Publication Date: 2020-12-29
SHANGHAI INST FOR ENDOCRINE & METABOLIC DISEASES +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the model failed to predict the risk of malignancy well in the WD group

Method used

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  • Pheochromocytoma Metastasis Prediction System Based on Molecular Markers
  • Pheochromocytoma Metastasis Prediction System Based on Molecular Markers
  • Pheochromocytoma Metastasis Prediction System Based on Molecular Markers

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] This example relates to the construction of a prediction system for pheochromocytoma metastasis based on molecular markers.

[0038] To screen out predictors or variables associated with pheochromocytoma metastasis; 347 patients with pheochromocytoma and paraganglioma in Shanghai Ruijin Hospital from January 2002 to December 2014 were included in the study. The median follow-up time was 93.5 months. Patients were randomly divided into experimental group (60%, n=208) and verification group (40%, n=139). Through the comparison of the basic indicators of patients in the experimental group and the verification group, there is no significant statistical difference between the experimental group and the verification group, suggesting that the grouping is reliable, and the two groups can be established and verified by nomograms.

[0039] The risk factors affecting pheochromocytoma metastasis in univariate and multivariate Logistic regression model analysis are shown in Table ...

Embodiment 2

[0048] Decision curve analysis was used to assess whether clinical application of molecular markers improved patient outcomes. The construction of the decision curve mainly explains: assuming that there is a probability threshold Pt, if the positive probability is greater than this threshold, the clinical operation will be performed, and if it is less than this threshold, then the clinical operation will not be performed.

[0049] 1. Select a pt (probability threshold Pt, if the positive probability is greater than this threshold, the clinical operation will be performed, if it is less than this threshold, it will not be performed).

[0050] 2. Calculate the number of positive and negative results using pt as the cut point

[0051] 3. Calculate the net benefit of the forecast model:

[0052]

[0053] 4. Change the Pt value within an appropriate range and repeat steps 2-3.

[0054] 5. Take Pt as the abscissa and net income as the ordinate in the Cartesian coordinate system...

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Abstract

The invention discloses a pheochromocytoma metastasis prediction system based on a molecular marker. The system is characterized in that the system comprises a variable input submodule, an analysis module and an output module; the variable input submodule comprises a tumour primary diameter input submodule, a primary tumour part input submodule, a catecholamine secretion type input submodule, a blood vessel invasion state input submodule, an ERBB-2 overexpression state input submodule and an SDHB mutation state input submodule; the analysis module can build a metastasis probability alignment chart and calculate a total risk value based on variables input by the variable input submodule and can calculate a pheochromocytoma metastasis predicted value of a pheochromocytoma patient according to the total risk value; the output module is used for outputting the pheochromocytoma metastasis predicted value of the pheochromocytoma patient. According to the pheochromocytoma metastasis prediction system based on the molecular marker, SDHB germ-line gene mutation and primary tumour ERBB-2 protein high-expression, the diameter and position of a primary tumour, blood vessel invasion and the catecholamine secretion type are combined, and accordingly the pheochromocytoma metastasis prediction system is built and shows more excellent prediction accuracy compared with separately used clinical risk factors.

Description

technical field [0001] The invention relates to the field of medicine, in particular to a system for predicting metastasis of pheochromocytoma based on molecular markers. Background technique [0002] There are many molecular markers and various histological markers, such as IGF-1R, Cox-2, EM66, and vascular / capsular invasion], etc., are associated with PPGL malignancy. However, in clinical work, it is far from enough to use a single indicator to predict the risk of metastasis in patients, because these indicators only provide stratified risk of groups, and cannot make individualized predictions for each patient. [0003] Currently, there are few metastatic risk scoring systems for patients with pheochromocytoma. In 2002, Thompson et al proposed the PASS (pheochromocytoma of the adrenal gland scaled score) scoring system to predict the benign and malignant pheochromocytomas. The scoring system is based on 12 pathological characteristics such as tumor cell morphology and in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/30
Inventor 王卫庆宁光钟旭苏颋为叶蕾谢静
Owner SHANGHAI INST FOR ENDOCRINE & METABOLIC DISEASES
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