Method of predicting prognosis and treatment response

EP4766858A1Pending Publication Date: 2026-07-01CANCER RESEARCH TECHNOLOGY LTD
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
EP · EP
Patent Type
Applications
Current Assignee / Owner
CANCER RESEARCH TECHNOLOGY LTD
Filing Date
2024-08-22
Publication Date
2026-07-01

AI Technical Summary

Technical Problem

Current biomarkers for predicting response to immune checkpoint inhibitor (ICB) therapy in cancer patients are insufficiently accurate, particularly in clear cell renal cell carcinoma (ccRCC), where established immune biomarkers lack predictive utility.

Method used

A computer-implemented method for predicting treatment response to anti-cancer immunotherapy using a pro-tumorigenic inflammatory (PTI) gene signature, which integrates gene expression levels of specific cancer-promoting genes and combines them with current strongest predictors of ICB response.

Benefits of technology

The PTI signature demonstrates joint prognostic and predictive utility, selectively predicting immunotherapy outcome in ccRCC and improving the ability to guide treatment decisions, thereby enhancing the efficacy of anti-cancer treatment.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure IMGF000006_0001
    Figure IMGF000006_0001
  • Figure IMGF000020_0001
    Figure IMGF000020_0001
  • Figure IMGF000067_0001
    Figure IMGF000067_0001
Patent Text Reader

Abstract

The present invention provides a computer-implemented method for predicting the treatment response of a mammalian cancer patient to anti-cancer immunotherapy, the method comprising: a) providing a plurality of features comprising gene expression levels of at least 8 of the following cancer promoting genes PTGS2, CXCL1, CXCL2, CXCL5, CXCL6, IL1A, HAS2, IL11, IL1B, EREG, IL6, CXCL8 (IL8), MMP12, NRG1, VCAN, AREG previously measured in a sample obtained from the tumour of a mammalian cancer patient; b) computing a score using the features provided in a); and c) predicting the treatment response of the mammalian cancer patient based on the score computed in step b). Also provided are related methods and systems for predicting treatment response.
Need to check novelty before this filing date? Find Prior Art