A kit for predicting recurrence of breast cancer
A breast cancer and breast cancer extraction technology, applied in the biological field, can solve the problems of predicting the recurrence of breast cancer after surgery, and achieve the effect of improving the overall survival rate and having broad prospects for clinical application.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0033] Embodiment 1 The construction of the model of the present invention
[0034] 1. Experimental materials
[0035] Breast cancer patient data set: The data set and corresponding clinical information of breast cancer patients were collected from West China Hospital, and 856 cases of BIDC (Breast Invasive Ductal Carcinoma) diagnosed between 2006 and 2011 were included
[0036] patient. After screening patients with positive lymph node metastasis and no chemotherapy, a total of 407 patients with early-stage BIDC were defined as the entire dataset. This study was approved by the Ethics Committee of West China Hospital (approval number: 2013-191). All the pathological cases used were routine follow-up cases, and the patients were followed up by telephone every six months to record the patient's disease recurrence, progression and survival.
[0037] Two, construct the present invention model
[0038] 1. Detection and quantification of breast cancer stem cells (BCSC) in breas...
Embodiment 2
[0070] Embodiment 2 Verification of the model of the present invention
[0071] 1. Evaluation of breast cancer recurrence model in multiple analysis
[0072] In univariate survival analyses, age and tumor size were considered to be statistically significant clinical factors. To further investigate whether the predictive power of the prognostic group was independent of other clinical variables, we used univariate Cox proportional hazards regression analysis. We performed a 10-fold cross-validation analysis. Only 4 out of 10 cross-validation tests showed that age could not be included as an independent predictor of recurrence for statistical significance, while tumor size proved to be significant in 8 out of 10 independent recurrence predictor analyses. .
[0073] We then incorporated tumor size and RRS into a multivariate cox regression model, and in a 10-fold cross-validation test, RRS provided significant predictive power independent of tumor size. The results show that t...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com