Prognosis prediction model for patients with metastatic prostate cancer at first diagnosis and establishment method and application thereof

A technology of prostate cancer and prediction model, which is applied in the fields of medical automatic diagnosis, medical informatics, informatics, etc., to achieve the effect of convenient use, good prediction accuracy and discrimination.

Active Publication Date: 2021-03-09
WEST CHINA HOSPITAL SICHUAN UNIV
View PDF13 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, there is no method for prognosis judgment, clinical cons

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Prognosis prediction model for patients with metastatic prostate cancer at first diagnosis and establishment method and application thereof
  • Prognosis prediction model for patients with metastatic prostate cancer at first diagnosis and establishment method and application thereof
  • Prognosis prediction model for patients with metastatic prostate cancer at first diagnosis and establishment method and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] Example 1 Establishment of CFS and OS Prognostic Model and Visual Presentation of Patients with Newly Diagnosed Metastatic Prostate Cancer

[0064] The establishment of the CFS and OS prognosis model of newly diagnosed metastatic prostate cancer patients of the present invention comprises the following steps:

[0065] (1) A total of 449 patients who were diagnosed with newly diagnosed metastatic prostate cancer in West China Hospital of Sichuan University between 2011 and 2016 were collected. All patients received standard maximal androgen deprivation therapy after diagnosis of prostate cancer, that is, chemical or surgical castration combined with bicalutamide or flutamide antiandrogen therapy. After a median follow-up of 50 months, 286 patients entered the mCRPC stage and 164 patients died. The median CFS and OS were 26.4 months (95% CI: 21.8-31.0 months) and 57.0 months (95% CI: 48.9-65.1 months), respectively.

[0066] (2) Collect clinical and pathological data of...

Embodiment 2

[0074] Example 2 Verification of CFS and OS Prognostic Models in Patients with Newly Diagnosed Metastatic Prostate Cancer

[0075] The model obtained in Example 1 was verified using 135 patients in the verification group.

[0076] The verification of the model is carried out by three methods: C-index index, consistency curve analysis and decision curve analysis. The specific steps are as follows:

[0077] (1) The C-index index can reflect the prediction accuracy of the model in predicting CFS and OS or the ability to distinguish the prognosis.

[0078] C-index was calculated by R software. The C-index of the prognostic model for predicting CFS and OS were 0.762 and 0.723, respectively, showing good prediction accuracy and discrimination of the model.

[0079] (2) The consistency curve is used to reflect the predicted probability of mCRPC or death and the actual proportion of mCRPC or death of patients in the validation group predicted by the model at the 12th month, 24th mo...

Embodiment 3

[0082] Example 3 Establishment of CFS and OS Prognostic Grading Tool for Patients with Newly Diagnosed Metastatic Prostate Cancer

[0083] In order to use the prognostic model more conveniently in clinical practice, and to more intuitively divide patients with newly diagnosed metastatic prostate cancer into different risk groups according to different prognosis conditions, the present invention adds a separate Prognostic risk grading system for CFS and OS.

[0084] The establishment of a prognostic grading tool for CFS and OS in patients with newly diagnosed metastatic prostate cancer includes the following steps:

[0085] (1) According to the Beta value of each influencing variable in predicting CFS and OS in the multivariate COX proportional hazard model shown in Table 1, the weight of these variables in predicting CFS and OS is scored, and each patient is based on The state of 6 variables including prostate cancer Gleason score, presence of IDC-P, pre-treatment ALP level, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the field of prognosis evaluation of patients with metastatic prostate cancer at first diagnosis, and particularly relates to a prognosis prediction model of patients with metastatic prostate cancer at first diagnosis and an establishment method and application thereof. By analyzing and screening follow-up visit data of a patient suffering from metastatic prostate cancer at first, six clinical and pathological factors related to progression to mCRPC or death of the patient are finally obtained, a prognosis prediction model of the patient suffering from metastatic prostate cancer at first is established, and the model is visually presented in a line graph mode. The prognosis prediction model provided by the invention has the characteristics of intuition, simplicity,convenience and easiness in clinical popularization, and can effectively assist a clinician in carrying out relatively accurate individualized evaluation on prognosis of a patient suffering from metastatic prostate cancer at first diagnosis, so that important reference is provided for clinical consultation of the patient and formulation of a treatment scheme of the patient by the clinician.

Description

technical field [0001] The invention belongs to the field of prognosis evaluation of patients with newly diagnosed metastatic prostate cancer, and in particular relates to a prognosis prediction model for patients with newly diagnosed metastatic prostate cancer and its establishment method and application. Background technique [0002] Prostate tumor is the malignant tumor with the first incidence rate and the second fatality rate among men in western countries. In China, although the incidence of prostate cancer is lower than that in European and American countries, due to insufficient early screening, most patients have already developed metastasis when they see a doctor, that is, newly diagnosed metastatic prostate cancer. Many factors affect the prognosis of newly diagnosed metastatic prostate cancer, including baseline PSA, Gleason score, presence of IDC-P, and so on. At present, there is no model that integrates different prognostic factors to comprehensively evaluate...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G16H50/20
CPCG16H50/20Y02A90/10
Inventor 曾浩赵劲歌陈铌沈朋飞孙光曦
Owner WEST CHINA HOSPITAL SICHUAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap