Ageing-related responses to antiangiogenic effects of sunitinib in atherosclerosis-prone mice

Brian Meehan1, Delphine Garnier1, Alexander Dombrovsky1

  • 1Montreal Children's Hospital, RI MUHC, McGill University, Montreal, Quebec, Canada.

Insights

Sunitinib more effectively inhibits tumor growth in aged mice with atherosclerosis, altering the tumor microenvironment. Age and atherosclerosis impact antiangiogenic therapy effectiveness in cancer.

Area of Science:

  • Oncology
  • Vascular Biology
  • Aging Research

Background:

  • Antiangiogenic therapies are crucial in cancer treatment but are influenced by age-related vascular comorbidities like atherosclerosis.
  • Current mouse models often fail to replicate the complex vascular environment of aged patients with atherosclerosis.
  • Atherosclerosis significantly impacts the efficacy of antiangiogenic drugs, a factor often overlooked in preclinical studies.

Purpose of the Study:

  • To investigate the age-dependent effects of sunitinib, an antiangiogenic inhibitor, on tumor growth and the tumor microenvironment.
  • To evaluate the role of atherosclerosis in modulating the response to sunitinib in a Lewis Lung Carcinoma (LLC) model.
  • To understand how aging and atherosclerosis influence the tumor microenvironment's response to antiangiogenic therapy.

Main Methods:

  • Utilized atherosclerosis-prone ApoE-/- mice, both young and aged, with syngeneic LLC tumors.
  • Administered sunitinib and assessed its impact on global tumor growth.
  • Analyzed tumor microenvironment characteristics including hypoxia, microvascular density (MVD), pericyte coverage, soluble VEGFR2 levels, immune cell infiltration (CD45+, CD163+), and inflammatory pathway activation (phospho-STAT3).

Main Results:

  • Sunitinib demonstrated greater inhibition of tumor growth in aged mice compared to young mice.
  • Aged mice treated with sunitinib exhibited increased tumor hypoxia, reduced MVD, and lower pericyte coverage.
  • Sunitinib modulated immune cell infiltration and inflammatory pathways in an age-dependent manner, with distinct effects on M2-like macrophages and STAT3 activation.

Conclusions:

  • Age and atherosclerosis significantly alter the tumor microenvironment's response to sunitinib.
  • These age- and atherosclerosis-related modifications may influence the overall effectiveness of sunitinib and potentially other antiangiogenic therapies in cancer patients.
  • Preclinical models should incorporate age-related comorbidities to better predict therapeutic outcomes.

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