Multigene prognostic assay for lung cancer

A prognostic and lung cancer technology, applied in the field of multi-gene prognostic test of lung cancer, can solve the problems such as poor long-term survival rate of lung cancer patients

Inactive Publication Date: 2014-08-20
RGT UNIV OF CALIFORNIA +1
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Lung cancer patients with poor likelihood of long-term survival determined by clinical stage and histopathology findings
Despite published microarray identification of prognostic genes for lung cancer, there is still a need for accurate multigene quantitative polymerase chain reaction (PCR) assays that can predict mortality risk in lung cancer patients

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
  • Multigene prognostic assay for lung cancer
  • Multigene prognostic assay for lung cancer
  • Multigene prognostic assay for lung cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1 example 1

[0120] Example 1. Example 1: Prognostic Trial to Determine Risk Score in Patients with Non-Small Cell Lung Cancer (NSCLC)

[0121] A prognostic test was developed to generate a clinically useful risk score based on the expression patterns of 426 patients undergoing resection of stage I-IV non-small cell lung cancer (NSCLC) at UCSF. Find a trial that, on average, tends to assign a higher risk score to patients who die from cancer than to those who survive during follow-up. If a patient's sample received a higher risk score, the patient would be considered to have a higher risk of death during the 5-year period following surgery, whereas if a patient's sample received a lower score, the patient would be considered to have a higher risk of death during the 5-year period following his surgery. Time survival is more likely.

[0122]RNA was extracted from FFPE tissue samples and the expression levels of target genes associated with patient prognosis were assessed. Then, the expres...

Embodiment 2

[0164] Example 2: 11-Gene Test to Predict Survival Rate of Resected Non-Squamous Cell Lung Cancer, Non-Small Cell Lung Cancer

[0165] A 14-gene assay using quantitative PCR to analyze formalin-fixed, paraffin-embedded (FFPE) tissue was developed with a cohort of 361 patients with resected non-squamous NSCLC at the University of California, San Francisco (UCSF). The assay included 11 biomarkers (BAG1, BRCA1, CDC6, CDK2AP1, ERBB3, FUT3, IL11, LCK, RND3, SH3BGR, and WNT3A) and three housekeeping genes (ESD, TBP, YAP1).

[0166] The test, developed and run by an independent laboratory certified under the Clinical Laboratory Improvement Amendments (CLIA), was later approved by the Kaiser Medical Research Division (KPDOR) at the Kaiser Permanente Northern California System (California, USA). State) in a blinded study design in a cohort of 433 patients with resected stage I non-squamous NSCLC. Trial results were independently compared with actual patient outcomes via KPDOR. Intern...

Embodiment 3

[0239]Example 3: AUROC comparison of the 11-gene assay versus other assays using different gene combinations

[0240] This example predicts the success of the 11-gene assay compared to other gene combinations in assigning patients into high-risk or low-risk categories using the area under the curve of the receiver operating characteristic (AUROC) analysis.

[0241] AUROC analysis was performed on RNA samples extracted from 337 patients with stage I-IV lung cancer. As shown in Table 19 below, it was observed that the 11-gene assay outperformed the other gene combinations tested in this example, as reflected by the higher AUROC c-statistic.

[0242] Table 19: AUROC values

[0243]

[0244]

[0245]

[0246] Selection of the nature of genetic risk

[0247] The 11-gene assay was analyzed using a Cox proportional hazards model to determine which genes confer risk and which genes confer protection. These determinations are listed in Table 20 for each gene.

[0248] Tabl...

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 present invention provides methods for providing a prognosis for lung cancer using a panel of eleven molecular markers that includes BAG1, BRCA1, CDC6, CDK2AP1, ERBB3, FUT3, IL11, LCK, RND3, SH3BGR, and WNT3A, which are differentially expressed in lung cancer. The eleven markers are related to patient prognosis to 5 -year overall survival outcomes, and are particularly useful in providing a prognosis for non-squamous NSCLC.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of US Provisional Patent Application Serial No. 61 / 504063, filed July 1, 2011, and US Provisional Patent Application Serial No. 61 / 504193, filed July 2, 2011, which are incorporated herein by reference in their entirety. [0003] Statement of Rights to Inventions Made Under Federally Funded Research and Development [0004] Not applicable [0005] REFERENCE TO SEQUENCE LISTINGS, TABLES OR COMPUTER PROGRAM LISTING ACCESSES FILLED ON DISK [0006] Not applicable Background of the invention [0007] The likelihood of long-term survival in patients with lung cancer determined by clinical staging and histopathological findings is poor. Although microarray identification of genes identified as prognostic for lung cancer has been published, there is still a need for an accurate multigene quantitative polymerase chain reaction (PCR) test that can predict the risk of death in lung cancer pat...

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
Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68
CPCG01N33/57423C12Q1/6886G01N2800/52C12Q2600/118C12Q2600/158
Inventor M·J·曼恩D·M·雅布隆斯J·克拉茨D·巴里曼
Owner RGT UNIV OF CALIFORNIA
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