Genome agnostic, multi-level non-oncogene addiction-based systems pharmacology for rescuing metastatic

Dennis Christoph Harrer1, Florian Lüke1,2, Tobias Pukrop1,3

  • 1Department of Internal Medicine III, Hematology and Oncology, University Hospital Regensburg, Regensburg, Germany.

PubMed

Insights

This study introduces a novel tumor editing regimen for relapsed/refractory metastatic cancers. The approach targets non-oncogene addiction networks, showing promise in controlling difficult-to-treat tumors.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Therapeutics

Background:

  • Relapsed/refractory (r/r) metastatic neoplasias pose significant unmet clinical needs.
  • Current treatment strategies often fail to address tumor tissue homeostasis and reprogramming.
  • The concept of non-oncogene addiction (NOA) offers a potential avenue for novel therapeutic interventions.

Purpose of the Study:

  • To investigate a tumor tissue editing regimen for various r/r tumor types.
  • To evaluate the efficacy of targeting non-oncogene addiction (NOA) networks in overcoming cancer hallmarks and stress responses.
  • To explore the potential of adaptive transcriptomic targeting for controlling metastatic cancers.

Main Methods:

  • Conducted 15 phase I/II trials involving a tumor tissue editing regimen for 13 r/r tumor types.
  • Utilized combinations of nuclear/cytokine receptor agonists, pioglitazone, dexamethasone, all-trans retinoic acid, interferon-α, stress response inhibitors, and low-dose metronomic chemotherapy.
  • Focused on transcriptional reprogramming of cancer hallmarks and inflammation control.

Main Results:

  • Achieved complete response (CR) in three and complete clinical response (cCR) in five r/r neoplasias.
  • Observed that best responses occurred after transcriptional reprogramming, inflammation control, or differentiation induction.
  • Identified ubiquitous, differential transcriptional access to non-oncogene addiction (NOA) networks across diverse tumor types.

Conclusions:

  • The developed editing approaches provide a template for controlling metastatic r/r tumors by breaking tumor tissue addiction.
  • Targeting edited NOAs demonstrates potential for improving long-term outcomes with CR/cCR.
  • Future diagnostics of NOA networks and transcription factors may become crucial for personalized therapy selection in oncology.

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