Abstract

Simple SummaryMetabolic rewiring, as an important hallmark of cancer supports the bioenergetic needs of growing tumours at the primary site or in metastases. Mammalian target of rapamycin (mTOR) hyperactivity may contribute to metabolic plasticity and progression in cancers. We set out to assess the metabolic complexity in breast cancer cell lines and primary breast cancer cases. Using a set of immunoreactions, we observed that the characterisation of metabolic pathways has a prognostic potential in human cases. High in situ metabolic plasticity was considered with high mTOR activity and high expression of at least two other studied metabolic enzymes (lactate dehydrogenase A, glutaminase, fatty acid synthase or carnitine palmitoyltransferase). According to our metabolic analyses and immunohistochemistry results, breast cancer is characterised by considerable metabolic diversity in individual cases. Consequently, we suggest selecting patients who may benefit from more accurate follow-up and specific therapies (including the combination of anti-metabolic treatments and recent therapies).In spite of tremendous developments in breast cancer treatment, the relatively high incidence of relapsing cases indicates a great need to find new therapeutic strategies in recurrent, metastatic and advanced cases. The bioenergetic needs of growing tumours at the primary site or in metastases—accumulating genomic alterations and further heterogeneity—are supported by metabolic rewiring, an important hallmark of cancer. Adaptation mechanisms as well as altered anabolic and catabolic processes balance according to available nutrients, energy, oxygen demand and overgrowth or therapeutic resistance. Mammalian target of rapamycin (mTOR) hyperactivity may contribute to this metabolic plasticity and progression in breast carcinomas. We set out to assess the metabolic complexity in breast cancer cell lines and primary breast cancer cases. Cellular metabolism and mTOR-related protein expression were characterised in ten cell lines, along with their sensitivity to specific mTOR and other metabolic inhibitors. Selected immunohistochemical reactions were performed on ~100 surgically removed breast cancer specimens. The obtained protein expression scores were correlated with survival and other clinicopathological data. Metabolic and mTOR inhibitor mono-treatments had moderate antiproliferative effects in the studied cell lines in a subtype-independent manner, revealing their high adaptive capacity and survival/growth potential. Immunohistochemical analysis of p-S6, Rictor, lactate dehydrogenase A, glutaminase, fatty acid synthase and carnitine palmitoyltransferase 1A in human samples identified high mTOR activity and potential metabolic plasticity as negative prognostic factors for breast cancer patients, even in subtypes generally considered as low-risk. According to our results, breast cancer is characterised by considerable metabolic diversity, which can be targeted by combining antimetabolic treatments and recent therapies. Alterations in these pathways may provide novel targets for future drug development in breast cancer. We also propose a set of immunostainings for scoring metabolic heterogeneity in individual cases in order to select patients who may benefit from more accurate follow-up and specific therapies.

Highlights

  • The number of newly diagnosed breast cancer patients is increasing, and it may reach 2.5–3 million cases worldwide per year over the decades, despite recent developments in prevention, screening and therapy [1]

  • We show that tumour cell populations can be highly diverse, and metabolic heterogeneity can contribute to worse prognosis in breast cancer

  • CPT1A and fatty synthase (FASN) expression divided our patient cohort into two populations, both with distinct survival characteristics and a related inverse pattern of these proteins: high FASN scores significantly correlated with longer Distant metastasis-free survival (DMFS) and overall survival (OS) during 96 months of follow-up; high expression of CPT1A was associated with a tendency for worse prognosis (Figures 6 and 7)

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Summary

Introduction

The number of newly diagnosed breast cancer patients is increasing, and it may reach 2.5–3 million cases worldwide per year over the decades, despite recent developments in prevention, screening and therapy [1]. The incidence of relapse and therapy resistance in advanced disease indicate a great need for new treatment strategies. One of the main features leading to therapy resistance is tumour heterogeneity. Tumour cells are surrounded by other cells and matrix elements in their micro- and macroenvironment. In this heterogeneous tissue, malignant cells—depending on their genetic instability—accumulate several genomic alterations, which generate further diversity. The selective pressure of tumour ecosystems can lead to tumour evolution and divergent clonal selection at the primary site or in metastases [3,4,5]

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