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Gene expression profiles and uses thereof in breast cancer

A gene and breast cancer technology, applied in the field of predicting the local regional recurrence rate of breast cancer

Pending Publication Date: 2018-01-19
台智生医股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the techniques for risk stratification of non-luminal breast cancer using known genomic panels are still quite limited (Reference 15)

Method used

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  • Gene expression profiles and uses thereof in breast cancer
  • Gene expression profiles and uses thereof in breast cancer
  • Gene expression profiles and uses thereof in breast cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0177] Gene microarray analysis to validate gene expression profiles associated with postoperative locoregional recurrence rates after mastectomy and breast-conserving surgery:

[0178] In an oncogene medicine study, patients with invasive breast cancer were eventually selected for the development of a new breast cancer classification. The study selected a total of 217 patients with invasive breast cancer who had undergone mastectomy or breast-conserving surgery between 2005 and 2012 and who had tissue samples available for DNA (or gene) microarrays. Of the 217 patients, 130 had undergone mastectomy and 87 had breast-conserving surgery. All 217 patients consented to have their primary tumor tissue subjected to DNA (or gene) microarray studies. Patients eligible for this study were not eligible for postmastectomy radiation therapy during at least a two-year follow-up period (n = 130). Patients who had undergone breast-conserving surgery (n=87) were analyzed separately to exam...

Embodiment 2

[0191] Gene expression map of locoregional recurrence rate validated by statistical analysis

[0192] The 34 genes in the new platform of the present invention are distributed in an 84-gene probe set, and 4 genes with unknown functions cannot be identified. By univariate analysis, 18 of the remaining 30 genes could classify mastectomy patients into a low-risk group and a high-risk group based on locoregional recurrence rate. Through multivariate analysis, it was found that patients could be classified into a low-risk group and a high-risk group. The 18 genes are used to classify breast-conserving surgery patients into a low-risk group and a high-risk group. Patients with an 18-gene score ≥ 31 were defined as high risk, while those with a score < 31 were defined as low risk.

[0193] The formula for calculating the score based on the 18 genes (18 gene detection combination or classification method)

[0194]Table 4 shows the univariate analysis and multivariate analysis using...

Embodiment 3

[0220] Cox proportional hazards model for mastectomy patients

[0221] According to current clinical practice, the method used to assess the need for adjuvant radiation therapy in N1 breast cancer patients will arrange adjuvant radiation therapy for 80% of them. However, radiotherapy reduces the rate of locoregional recurrence and improves overall survival in these patients.

[0222] Cox proportional hazards models have been widely used to describe survival and associated variables. Therefore, this study examined whether this (18-gene panel) classification was an independent prognostic factor. Traditional proportional hazards analysis has established clinical parameters related to proportional hazards and quantitative assessment, including the degree of lymph node metastasis and estrogen receptor status, which are related to locoregional recurrence rate. We applied the clinical parameters and the classification system of this classification to fully analyze the proportional ...

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Abstract

A method for predicting the likelihood of locoregional recurrence (LRR) and / or distant metastasis in a subject with breast cancer following mastectomy and / or breast conserving surgery, comprising: measuring the expression level of at least one gene in a sample isolated from the subject; and deriving a score based on the measured expression level of the at least one gene, wherein the at least one gene is selected from a group consisting of TRPV6, DDX39, BUB1B, CCR1, STIL, BLM, C16ORF7, TPX2, PTI1, TCF3, CCNB1, DTX2, PIM1, ENSA, RCHY1, NFATC2IP, OBSL1, and MMP15, and wherein the derived score provides an indication of the likelihood of LRR and / or the likelihood of distant metastasis in the subject.

Description

technical field [0001] The present invention relates generally to gene expression profiling and methods of applying it to breast cancer care, and particularly, but not exclusively, to gene expression profiling based on a breast cancer patient following mastectomy and / or breast-conserving surgery. Gene expression profiling, a method for estimating the loco-regional recurrence rate of breast cancer for this patient. In particular, but not limited to, the present invention provides a method related to measuring the expression level of at least one gene associated with breast cancer after mastectomy and / or breast-conserving surgery, and calculating the expression level according to a predetermined model A score is obtained to estimate the breast cancer locoregional recurrence rate and / or distant metastasis risks for a breast cancer patient. This approach can help medical staff determine the type of treatment a breast cancer patient needs after mastectomy and / or breast-conserving ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68G16B40/20
CPCC12Q2600/118C12Q2600/158G16B40/00C12Q1/6886G16B40/20
Inventor 郑鸿钧
Owner 台智生医股份有限公司