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Expression Levels Of Serine/glycine Metabolism-related Proteins In Triple Negative Breast Cancer Tissues

Songmi Noh, D. Kim, W. H. Jung, J. Koo
Published 2013 · Biology, Medicine

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To evaluate the expression levels of serine/glycine metabolism-related proteins (PHGDH, PSAT, PSPH, SHMT, and GLDC) in six different subtypes of triple negative breast cancer (TNBC) patients and gain insight into their implications. Formalin-fixed, paraffin-embedded tissues from 129 TNBC patients were assembled into tissue microarrays. Immunohistochemical staining was performed for serine/glycine metabolism-related proteins (PHGDH, PSAT, PSPH, SHMT, and GLDC) and surrogate immunohistochemical markers (CK5/6, EGFR, claudin 3, claudin 4, claudin 7, E-cadherin, STAT1, interleukin-8 [IL-8], AR, and GGT-1) for identifying the molecular subtype of TNBC. TNBC subtype classifications included the following: basal-like (CK5/6-positive and/or EGFR-positive), molecular apocrine (AR-positive and/or GGT-1-positive), claudin-low (claudin 3-, claudin 4-, claudin 7-negative and/or E-cadherin-negative), immune-related (IL-8-negative and stromal STAT1-positive), mixed (features from two or more of the four subtypes), and null (no features from any of the four subtypes). Tissues from basal marker-positive patients showed increased expression levels of tumoral PHGDH compared with those from basal marker-negative patients (p = 0.029); lack of stromal SHMT1 expression was significantly correlated with T stage (p = 0.016). Multivariate Cox analysis revealed that a lack of stromal SHMT1 expression was an independent prognostic factor for predicting a shorter disease-free survival period (hazard ratio 4.002, 95 % confidence interval [CI] 1.077–14.83, p = 0.038); furthermore, a lack of tumoral PHGDH expression was predictive of a shorter overall survival rate (hazard ratio 3.053, 95 % CI 1.002–9.305, p = 0.050). In conclusion, the most abundantly expressed serine/glycine metabolism-related protein in basal-like TNBC tissues was tumoral PHGDH, and expression levels of stromal SHMT1 and tumoral PHGDH were inversely correlated with clinical prognostic factors. Also, this study is the first to assess serine/glycine relationships at the protein level in regards to clinical outcomes.
This paper references
Glycine Decarboxylase Activity Drives Non-Small Cell Lung Cancer Tumor-Initiating Cells and Tumorigenesis
W. C. Zhang (2012)
PHGDH amplification and altered glucose metabolism in human melanoma
Edouard Mullarky (2011)
Triple-Negative Breast Cancer: Clinical Features and Patterns of Recurrence
R. Dent (2007)
GLUT1 expression in human breast carcinoma: correlation with known prognostic markers.
M. Younes (1995)
American Society of Clinical Oncology/College Of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer.
M. Hammond (2010)
Clinicopathologic correlation of beclin-1 and bcl-2 expression in human breast cancer.
K. Y. Won (2010)
Functional genomics reveal that the serine synthesis pathway is essential in breast cancer
이연수 (2011)
DNA mismatch repair gene polymorphisms affect survival in pancreatic cancer.
Xiaoqun Dong (2011)
College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer
Ac Wolff (2007)
Measurement of Glut-1 Expression Using Tissue Microarrays to Determine a Race Specific Prognostic Marker for Breast Cancer
B. L. Stackhouse (2005)
Molecular stratification of triple-negative breast cancers.
C. Perou (2010)
[Origin of cancer cells].
O. Warburg (1956)
Metabolite Profiling Identifies a Key Role for Glycine in Rapid Cancer Cell Proliferation
M. Jain (2012)
Loss of stromal caveolin-1 leads to oxidative stress, mimics hypoxia and drives inflammation in the tumor microenvironment, conferring the “reverse Warburg effect”: A transcriptional informatics analysis with validation
S. Pavlides (2010)
pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long‐term follow‐up
C. Elston (1991)
The reverse Warburg effect: Aerobic glycolysis in cancer associated fibroblasts and the tumor stroma
S. Pavlides (2009)
American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer.
A. Wolff (2007)
College Of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer
Me Hammond (2010)
correlation with known prognostic markers
M Younes (2014)
Oxidative stress in cancer associated fibroblasts drives tumor-stroma co-evolution
Ubaldo e. Martinez-outschoorn (2010)
GLUT1 and CAIX expression profiles in breast cancer correlate with adverse prognostic factors and MCT1 overexpression.
C. Pinheiro (2011)
Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up.
C. Elston (2002)
Metabolism-Related Proteins Are Differentially Expressed according to the Molecular Subtype of Invasive Breast Cancer Defined by Surrogate Immunohistochemistry
J. Choi (2012)
Ketones and lactate “fuel” tumor growth and metastasis
G. Bonuccelli (2010)
Tumor Biol

This paper is referenced by
Challenges and Opportunities in the Development of Serine Synthetic Pathway Inhibitors for Cancer Therapy.
Séverine Ravez (2017)
Amino Acid Transporters and Glutamine Metabolism in Breast Cancer
Y. Cha (2018)
Decrease in expression of some proteins among breast cancer patients in Sudan comparison to healthy tissues
M. Adam (2015)
Tumorigenesis and Metabolism Disorder
F. Yang (2019)
OGT-mediated O-GlcNAcylation on GLDC promotes metastasis in cervical cancer
Pingsheng Cai (2018)
The Application of Metabolomics in the Development of Novel Diagnostic and Therapeutic Tools for Breast Cancer
R. Lemus (2018)
Deciphering metabolic rewiring in breast cancer subtypes
Martin P. Ogrodzinski (2017)
Metabolomics Reveals Metabolic Changes Caused by Low-Dose 4-Tert-Octylphenol in Mice Liver
K. Zhou (2018)
Expression of serine/glycine metabolism-related proteins is different according to the thyroid cancer subtype
W. Y. Sun (2016)
Tumor microenvironment and metabolic synergy in breast cancers: critical importance of mitochondrial fuels and function.
Ubaldo e. Martinez-outschoorn (2014)
Dual inhibition of glutaminase and carnitine palmitoyltransferase decreases growth and migration of glutaminase inhibition–resistant triple-negative breast cancer cells
Larissa Menezes Dos Reis (2019)
The balance between breast cancer and the immune system: challenges for prognosis and clinical benefit from immunotherapies.
C. Baxevanis (2019)
The deep end of the metabolite pool: influences on epigenetic regulatory mechanisms in cancer
Kendra K. S. Nordgren (2015)
The Nutrient-Sensing Hexosamine Biosynthetic Pathway as the Hub of Cancer Metabolic Rewiring
F. Chiaradonna (2018)
Investigating Dysregulated Metabolic Pathways that Drive Cancer Pathogenicity
Lindsay S. Roberts (2017)
Intravoxel incoherent motion magnetic resonance imaging for breast cancer: A comparison with benign lesions and evaluation of heterogeneity in different tumor regions with prognostic factors and molecular classification
M. Zhao (2018)
Overexpression of PSAT1 promotes metastasis of lung adenocarcinoma by suppressing the IRF1-IFNγ axis
Yung-Chieh Chan (2020)
Nonessential amino acid metabolism in breast cancer.
R. Geck (2016)
SHMT1 inhibits the metastasis of HCC by repressing NOX1-mediated ROS production
Changwei Dou (2019)
mTORC2 in the center of cancer metabolic reprogramming
Kenta Masui (2014)
Crystal structures and snapshots along the reaction pathway of human phosphoserine phosphatase.
Marie Haufroid (2019)
High level PHGDH expression in breast is predominantly associated with keratin 5‐positive cell lineage independently of malignancy
I. Gromova (2015)
Metabolic profiling of triple-negative breast cancer cells reveals metabolic vulnerabilities
Nathan J. Lanning (2017)
Evaluation of LKB1 and Serine-Glycine Metabolism Pathway Genes (SHMT1 and GLDC) Expression in AML
F. Mezginejad (2020)
Phosphoglycerate Dehydrogenase: Potential Therapeutic Target and Putative Metabolic Oncogene
C. Zogg (2014)
The role of molecular genetic alterations in genes involved in folate and homocysteine metabolism in multifactorial diseases pathogenesis
A. Burdennyy (2017)
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