Abstract

Simple SummaryRlip knockout has been reported to prevent cancer in highly cancer-susceptible mice lacking p53, and Rlip knockdown kills many types of cancer cells. In humans, breast cancer shows diverse characteristics, including HER2-driven subtypes and viral-driven subtypes. HER2 can be targeted; however, escape of the cancer from targeted therapies remains a problem. In this work we evaluated the capacity of Rlip knockout to prevent breast cancer in genetically engineered mouse models of HER2-driven breast cancer (Erbb2 model) and polyomavirus-driven breast cancer (PyVT model). We found that in Erbb2 mice, Rlip knockout significantly delayed oncogenesis and reduced the expression of genes associated with poor prognosis in patients. In PyVT mice, Rlip knockout did not delay oncogenesis or tumor growth, but Rlip knockdown reduced tumor metastasis to the lung. We conclude that Rlip inhibitors may significantly improve survival in HER2-positive patients, but are unlikely to offer benefits to patients with polyomavirus-associated tumors.We recently reported that loss of one or both alleles of Ralbp1, which encodes the stress-protective protein RLIP76 (Rlip), exerts a strong dominant negative effect on both the inherent cancer susceptibility and the chemically inducible cancer susceptibility of mice lacking one or both alleles of the tumor suppressor p53. In this paper, we examined whether congenital Rlip deficiency could prevent genetically-driven breast cancer in two transgenic mouse models: the MMTV-PyVT model, which expresses the polyomavirus middle T antigen (PyVT) under control of the mouse mammary tumor virus promoter (MMTV) and the MMTV-Erbb2 model which expresses MMTV-driven erythroblastic leukemia viral oncogene homolog 2 (Erbb2, HER2/Neu) and frequently acquires p53 mutations. We found that loss of either one or two Rlip alleles had a suppressive effect on carcinogenesis in Erbb2 over-expressing mice. Interestingly, Rlip deficiency did not affect tumor growth but significantly reduced the lung metastatic burden of breast cancer in the viral PyVT model, which does not depend on either Ras or loss of p53. Furthermore, spontaneous tumors of MMTV-PyVT/Rlip+/+ mice showed no regression following Rlip knockdown. Finally, mice lacking one or both Rlip alleles differentially expressed markers for apoptotic signaling, proliferation, angiogenesis, and cell cycling in PyVT and Erbb2 breast tumors. Our results support the efficacy of Rlip depletion in suppressing p53 inactivated cancers, and our findings may yield novel methods for prevention or treatment of cancer in patients with HER2 mutations or tumor HER2 expression.

Highlights

  • Breast cancer is the most common cancer in women worldwide and the second most common cancer overall [1]

  • We report here that genetic depletion of Rlip in mammary tumor virus promoter (MMTV)-Erbb2 (C57BL/6) mice significantly delays spontaneous carcinogenesis, but MMTV-polyomavirus middle T antigen (PyVT) (C57BL/6) mice do not show significant effects with genetic Rlip depletion

  • We have previously reported that Rlip depletion prevents metastasis to the lung in chemical carcinogenesis and p53-mutated mouse models [71]

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Summary

Introduction

Breast cancer is the most common cancer in women worldwide and the second most common cancer overall [1]. There were over 2 million new cases of breast cancer in 2018 It is a leading cause of cancer death in developing countries and the second leading cause of cancer death in American women (https://www.wcrf.org, accessed on 3 February 2021). Prognostic markers that can guide treatment decisions and explain differences in outcome among HER2+ patients are being developed [3]. Based on these studies, it is believed that targeted chemotherapy regimens will be an even more prominent subject in the near future. Treatment strategies differ according to molecular subtype, and management of breast cancer requires a multidisciplinary approach, including locoregional (surgery and radiation therapy) and systemic approaches. Future therapeutic concepts in breast cancer aim at personalization of therapy as well as treatment based on tumor biology and on earlier detection and treatment initiation

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