Using the "reverse Warburg effect" to identify high-risk breast cancer patients

Stromal MCT4 predicts poor clinical outcome in triple-negative breast cancers

Agnieszka K. Witkiewicz, Diana Whitaker-Menezes, Abhijit Dasgupta, Nancy J. Philp, Zhao Lin, Ricardo Gandara, Sharon Sneddon, Ubaldo E. Martinez-Outschoorn, Federica Sotgia, Michael P. Lisanti

Research output: Contribution to journalArticle

141 Citations (Scopus)

Abstract

We have recently proposed a new model of cancer metabolism to explain the role of aerobic glycolysis and L-lactate production in fueling tumor growth and metastasis. In this model, cancer cells secrete hydrogen peroxide (H 2O2), initiating oxidative stress and aerobic glycolysis in the tumor stroma. This, in turn, drives L-lactate secretion from cancer-associated fibroblasts. Secreted L-lactate then fuels oxidative mitochondrial metabolism (OXPHOS) in epithelial cancer cells, by acting as a paracrine onco-metabolite. We have previously termed this type of two-compartment tumor metabolism the "reverse Warburg effect," as aerobic glycolysis takes place in stromal fibroblasts, rather than epithelial cancer cells. Here, we used MCT4 immunostaining of human breast cancer tissue microarrays (TMAs; >180 triple-negative patients) to directly assess the prognostic value of the "reverse Warburg effect." MCT4 expression is a functional marker of hypoxia, oxidative stress, aerobic glycolysis and L-lactate efflux. Remarkably, high stromal MCT4 levels (score = 2) were specifically associated with decreased overall survival (<18% survival at 10 years post-diagnosis). In contrast, patients with absent stromal MCT4 expression (score = 0), had 10-year survival rates of ∼97% (p-value < 10 -32). High stromal levels of MCT4 were strictly correlated with a loss of stromal Cav-1 (p-value < 10-14), a known marker of early tumor recurrence and metastasis. In fact, the combined use of stromal Cav-1 and stromal MCT4 allowed us to more precisely identify high-risk triple-negative breast cancer patients, consistent with the goal of individualized risk-assessment and personalized cancer treatment. However, epithelial MCT4 staining had no prognostic value, indicating that the "conventional" Warburg effect does not predict clinical outcome. Thus, the "reverse Warburg effect" or "parasitic" energy-transfer is a key determinant of poor overall patient survival. As MCT4 is a druggable target, MCT4 inhibitors should be developed for the treatment of aggressive breast cancers, and possibly other types of human cancers. Similarly, we discuss how stromal MCT4 could be used as a biomarker for identifying high-risk cancer patients that could likely benefit from treatment with FDA-approved drugs or existing MCT-inhibitors (such as, AR-C155858, AR-C117977 and AZD-3965).

Original languageEnglish (US)
Pages (from-to)1108-1117
Number of pages10
JournalCell Cycle
Volume11
Issue number6
DOIs
StatePublished - Mar 15 2012

Fingerprint

Triple Negative Breast Neoplasms
Breast Neoplasms
Glycolysis
Neoplasms
Lactic Acid
Survival
Oxidative Stress
Epithelial Cells
Neoplasm Metastasis
Energy Transfer
Tumor Biomarkers
Hydrogen Peroxide
Therapeutics
Survival Rate
Fibroblasts
Biomarkers

Keywords

  • Caveolin-1, oxidative stress
  • Lactate shuttle
  • MCT4
  • Metabolic coupling
  • Predictive biomarker
  • Pseudohypoxia
  • SLC16A3, monocarboxylic acid transporter
  • Tumor stroma
  • Two compartment tumor metabolism

ASJC Scopus subject areas

  • Cell Biology
  • Molecular Biology
  • Developmental Biology

Cite this

Using the "reverse Warburg effect" to identify high-risk breast cancer patients : Stromal MCT4 predicts poor clinical outcome in triple-negative breast cancers. / Witkiewicz, Agnieszka K.; Whitaker-Menezes, Diana; Dasgupta, Abhijit; Philp, Nancy J.; Lin, Zhao; Gandara, Ricardo; Sneddon, Sharon; Martinez-Outschoorn, Ubaldo E.; Sotgia, Federica; Lisanti, Michael P.

In: Cell Cycle, Vol. 11, No. 6, 15.03.2012, p. 1108-1117.

Research output: Contribution to journalArticle

Witkiewicz, AK, Whitaker-Menezes, D, Dasgupta, A, Philp, NJ, Lin, Z, Gandara, R, Sneddon, S, Martinez-Outschoorn, UE, Sotgia, F & Lisanti, MP 2012, 'Using the "reverse Warburg effect" to identify high-risk breast cancer patients: Stromal MCT4 predicts poor clinical outcome in triple-negative breast cancers', Cell Cycle, vol. 11, no. 6, pp. 1108-1117. https://doi.org/10.4161/cc.11.6.19530
Witkiewicz, Agnieszka K. ; Whitaker-Menezes, Diana ; Dasgupta, Abhijit ; Philp, Nancy J. ; Lin, Zhao ; Gandara, Ricardo ; Sneddon, Sharon ; Martinez-Outschoorn, Ubaldo E. ; Sotgia, Federica ; Lisanti, Michael P. / Using the "reverse Warburg effect" to identify high-risk breast cancer patients : Stromal MCT4 predicts poor clinical outcome in triple-negative breast cancers. In: Cell Cycle. 2012 ; Vol. 11, No. 6. pp. 1108-1117.
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AU - Whitaker-Menezes, Diana

AU - Dasgupta, Abhijit

AU - Philp, Nancy J.

AU - Lin, Zhao

AU - Gandara, Ricardo

AU - Sneddon, Sharon

AU - Martinez-Outschoorn, Ubaldo E.

AU - Sotgia, Federica

AU - Lisanti, Michael P.

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KW - SLC16A3, monocarboxylic acid transporter

KW - Tumor stroma

KW - Two compartment tumor metabolism

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