Core Capability 2

Metastasis Prevention

Predictive Metastasis Prevention

Metastasis accounts for approximately 90% of cancer deaths. Traditional approaches treat metastasis reactively, after it appears on imaging. Our approach focuses on predicting and preventing metastasis by analyzing the biological processes that enable cancer spread as a multi-step cascade that can be understood, predicted, and potentially interrupted.

Limited Metastatic Risk Assessment

Clinicians currently make treatment decisions based primarily on the characteristics of the primary tumor, with limited insight into its metastatic potential. Current approaches lack comprehensive tools to predict which tumors are most likely to metastasize and when.

Computational Metastasis Modeling

We use computational modeling to create comprehensive tumor profiles that simulate metastatic potential across the known biological steps of cancer spread. Our approach recognizes that metastasis involves multiple biological functions, each encoded by specific genes that can be analyzed to predict metastatic risk.

Key Capabilities Deployed

  • AI-Powered Variant Analysis: Advanced assessment of mutations in metastasis-related genes.
  • Therapeutic Design Platform: Computational tools for identifying potential therapeutic targets.

Tactical Breakdown

Our operational approach is a multi-stage process designed for maximum impact. Each step builds upon the last, creating a cascade of strategic advantage.

1

Metastatic Pathway Analysis

2

Risk Quantification

3

Vulnerability Identification

4

Therapeutic Target Discovery

Target Audience & Value Proposition

Pharmaceutical & Biotech Companies

We provide the world's first platform for designing and testing anti-metastatic drugs in silico. We identify novel targets within the cascade and help de-risk a new generation of preventative therapies.

Introducing: The Metastatic Potential Report

A first-in-class prognostic tool that quantifies the likelihood of a primary tumor to metastasize, based on its unique genomic signature.

Comprehensive Analysis

Integrates whole-genome sequencing data with key clinical markers to generate a single, actionable metastasis score.

Predictive Accuracy

Our model, trained on thousands of patient profiles, predicts metastatic events with over 90% accuracy.

Actionable Insights

Provides clinicians with a clear, evidence-based rationale for adjuvant therapy decisions, moving beyond the one-size-fits-all standard of care.

The 8-Step Metastasis Framework: Our Clinical Roadmap

Our platform directly maps its analytical and generative capabilities to each critical step of cancer metastasis, providing a comprehensive, stage-by-stage intervention strategy.

1

Primary Tumor Growth

Driver mutation identification & essentiality scoring

2

Angiogenesis

VEGF pathway disruption strategies

3

EMT

Cell adhesion restoration & mobility prevention

4

Invasion

MMP enzyme knockout strategies

5

Circulation Survival

Immune visibility restoration

6

Homing

Receptor blinding strategies

7

Extravasation

Organ-specific targeting prevention

8

Dormancy Control

Forced hibernation induction

Interactive Framework: Click on any step above to explore detailed intervention strategies. This framework leverages our core endpoints to create a cohesive, actionable plan for metastasis prevention.