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MCT1 in Invasive Ductal Carcinoma: Monocarboxylate Metabolism and Aggressive Breast Cancer.
Johnson, Jennifer M; Cotzia, Paolo; Fratamico, Roberto; Mikkilineni, Lekha; Chen, Jason; Colombo, Daniele; Mollaee, Mehri; Whitaker-Menezes, Diana; Domingo-Vidal, Marina; Lin, Zhao; Zhan, Tingting; Tuluc, Madalina; Palazzo, Juan; Birbe, Ruth C; Martinez-Outschoorn, Ubaldo E.
Afiliación
  • Johnson JM; Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson UniversityPhiladelphia, PA, USA.
  • Cotzia P; Department of Pathology, Memorial Sloan Kettering Cancer CenterNew York, NY, USA.
  • Fratamico R; Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson UniversityPhiladelphia, PA, USA.
  • Mikkilineni L; Medical Oncology, National Cancer InstituteBethesda, MD, USA.
  • Chen J; Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson UniversityPhiladelphia, PA, USA.
  • Colombo D; Pathology, University of Rome Tor VergataRome, Italy.
  • Mollaee M; Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson UniversityPhiladelphia, PA, USA.
  • Whitaker-Menezes D; Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson UniversityPhiladelphia, PA, USA.
  • Domingo-Vidal M; Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson UniversityPhiladelphia, PA, USA.
  • Lin Z; Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson UniversityPhiladelphia, PA, USA.
  • Zhan T; Division of Biostatistics, Department of Pharmacology and Experimental Therapeutics, Thomas Jefferson UniversityPhiladelphia, PA, USA.
  • Tuluc M; Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson UniversityPhiladelphia, PA, USA.
  • Palazzo J; Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson UniversityPhiladelphia, PA, USA.
  • Birbe RC; Department of Pathology, Cooper University HospitalCamden, NJ, USA.
  • Martinez-Outschoorn UE; Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson UniversityPhiladelphia, PA, USA.
Front Cell Dev Biol ; 5: 27, 2017.
Article en En | MEDLINE | ID: mdl-28421181
ABSTRACT

Introduction:

Monocarboxylate transporter 1 (MCT1) is an importer of monocarboxylates such as lactate and pyruvate and a marker of mitochondrial metabolism. MCT1 is highly expressed in a subgroup of cancer cells to allow for catabolite uptake from the tumor microenvironment to support mitochondrial metabolism. We studied the protein expression of MCT1 in a broad group of breast invasive ductal carcinoma specimens to determine its association with breast cancer subtypes and outcomes.

Methods:

MCT1 expression was evaluated by immunohistochemistry on tissue micro-arrays (TMA) obtained through our tumor bank. Two hundred and fifty-seven cases were analyzed 180 cases were estrogen receptor and/or progesterone receptor positive (ER+ and/or PR+), 62 cases were human epidermal growth factor receptor 2 positive (HER2+), and 56 cases were triple negative breast cancers (TNBC). MCT1 expression was quantified by digital pathology with Aperio software. The intensity of the staining was measured on a continuous scale (0-black to 255-bright white) using a co-localization algorithm. Statistical analysis was performed using a linear mixed model.

Results:

High MCT1 expression was more commonly found in TNBC compared to ER+ and/or PR+ and compared to HER-2+ (p < 0.001). Tumors with an in-situ component were less likely to stain strongly for MCT1 (p < 0.05). High nuclear grade was associated with higher MCT1 staining (p < 0.01). Higher T stage tumors were noted to have a higher expression of MCT1 (p < 0.05). High MCT1 staining in cancer cells was associated with shorter progression free survival, increased risk of recurrence, and larger size independent of TNBC status (p < 0.05).

Conclusion:

MCT1 expression, which is a marker of high catabolite uptake and mitochondrial metabolism, is associated with recurrence in breast invasive ductal carcinoma. MCT1 expression as quantified with digital image analysis may be useful as a prognostic biomarker and to design clinical trials using MCT1 inhibitors.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Cell Dev Biol Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Cell Dev Biol Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos