Functional signaling test identifies HER2 negative breast cancer patients who may benefit from c-Met and pan-HER

Ian A MacNeil1, Salmaan A Khan1, Adrish Sen1

  • 1Celcuity, Inc., 16305 36th Ave N, Suite 100, Minneapolis, MN, 55446, USA.

Abstract

Insights

A new test identifies breast cancer patients with coordinated abnormal HER and c-Met signaling, enabling targeted combination therapies. This functional test aids in selecting patients for clinical trials, improving treatment efficacy.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biotechnology

Background:

  • Cell signaling pathways are crucial for tumor cell survival in challenging microenvironments.
  • Understanding receptor and pathway coordination is key to developing effective cancer treatments.
  • Genetic and epigenetic changes necessitate advanced tools to study cell signaling adaptation.

Purpose of the Study:

  • To identify a breast cancer patient subpopulation responsive to combined targeted therapies.
  • To measure coactivated signaling activity of c-Met and HER family receptors in live tumor cells.
  • To validate a novel clinical test for assessing real-time tumor cell signaling responses.

Main Methods:

  • Utilized the CELsignia Multi-Pathway Signaling Function (CELsignia) Test, an impedance biosensor.
  • Quantified ex vivo live tumor cell signaling in response to HER family and c-Met co-stimulation.
  • Confirmed signaling results with targeted drugs and mouse xenograft models.

Main Results:

  • Identified breast tumors with hyperactive HER1, HER2, HER3/4, and c-Met signaling despite normal receptor expression.
  • Pre-clinical verification involved 79 breast cancer patients' cell responses to HER and c-Met agonists.
  • Signaling findings were validated using clinically approved targeted drugs and combination therapies.

Conclusions:

  • A functional test can identify breast cancer patients with coordinated abnormal HER and c-Met signaling.
  • This approach holds potential for clinical trials investigating combination targeted therapies.
  • The findings support the use of functional pathway analysis for personalized cancer treatment.

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