Predictive Gene Expression Pattern for Colorectal Carcinomas

Publication: WO2007135174A1
Published: 2007-11-29
Family Size: 6
Granted: Yes (2/6)

Simple SummaryContent extracted from patent full text and abstract with AI.

This patent introduces a microarray-based technology for predicting lymph node metastasis in colorectal cancer. It encompasses both a diagnostic tool—a gene expression microarray that detects patterns linked to metastatic potential—and related laboratory methods. The invention also describes the use of specific inhibitors or modulators based on these gene patterns to help treat or prevent metastatic colorectal cancer.

Use CasesContent extracted from patent full text and abstract with AI.

  • Preoperative assessment of lymph node metastasis risk in colorectal cancer patients via biopsy samples.
  • Guidance of personalized therapy decisions (surgery extent and chemotherapy need) for colorectal cancer based on predicted metastasis risk.
  • Development of new pharmaceutical treatments (inhibitors or modulators) targeting genes or proteins associated with metastasis in colorectal cancer.
  • Research tool for understanding the molecular mechanisms underpinning colorectal cancer progression and metastasis.
  • Implementation in clinical workflow to stratify patients into different risk groups for tailored management.

BenefitsContent extracted from patent full text and abstract with AI.

  • Enables more accurate preoperative prediction of lymph node metastasis in colorectal cancer compared to conventional imaging.
  • Facilitates individualized, less invasive, and potentially safer treatment planning, minimizing unnecessary extensive surgery for low-risk patients.
  • May reduce hospitalization times, postoperative complications, and overall healthcare costs due to better patient stratification.
  • Provides molecular targets for developing new anti-metastatic therapies.
  • Improves prognosis and quality of life for colorectal cancer patients by allowing for earlier and more precise intervention.

Technical Classifications (CPCs)

Main Classifications

Chemistry & Materials Science

Health, Food & Consumer Tech

Sub Classifications

Biochemistry, Beer & Spirits

Medical & Vet Science

CPC Codes

A61P35/00C12Q1/6886

Inventors & Applicants

Applicants

Univ Friedrich Alexander Er

Croner Roland

Hohenberger Werner

Reingruber Bertram

Lausen Berthold

Patent Abstract

The present invention relates to a microarray for the prediction of lymph node carcinomatosis in colorectal carcinoma. Moreover, the invention relates to an ex vivo method for predicting lymph node carcinomatosis in colorectal carcinoma and to an inhibitor or modulator which is suitable for the treatment of the metastatic spreading of colorectal carcinoma.

Key Information

Publication No.

WO2007135174A1

Family ID

38375677

Publication Date

2007-11-29

Application No.

EP2007055017W

Application Date

2007-05-23

Priority Date

2006-05-24

Granted

Yes (2/6)

Possible Cooperation

For further information please contact the transfer office.