Literature DB >> 24390667

Expression levels of serine/glycine metabolism-related proteins in triple negative breast cancer tissues.

Songmi Noh1, Do Hee Kim, Woo Hee Jung, Ja Seung Koo.   

Abstract

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.

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Year:  2014        PMID: 24390667     DOI: 10.1007/s13277-013-1588-z

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  19 in total

1.  Molecular stratification of triple-negative breast cancers.

Authors:  Charles M Perou
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Authors:  Antonio C Wolff; M Elizabeth H Hammond; Jared N Schwartz; Karen L Hagerty; D Craig Allred; Richard J Cote; Mitchell Dowsett; Patrick L Fitzgibbons; Wedad M Hanna; Amy Langer; Lisa M McShane; Soonmyung Paik; Mark D Pegram; Edith A Perez; Michael F Press; Anthony Rhodes; Catharine Sturgeon; Sheila E Taube; Raymond Tubbs; Gail H Vance; Marc van de Vijver; Thomas M Wheeler; Daniel F Hayes
Journal:  J Clin Oncol       Date:  2006-12-11       Impact factor: 44.544

5.  Measurement of glut-1 expression using tissue microarrays to determine a race specific prognostic marker for breast cancer.

Authors:  Bodiford Lee Stackhouse; Holly Williams; Paul Berry; Greg Russell; Pamela Thompson; Jerald L Winter; Timothy Kute
Journal:  Breast Cancer Res Treat       Date:  2005-10       Impact factor: 4.872

6.  GLUT1 expression in human breast carcinoma: correlation with known prognostic markers.

Authors:  M Younes; R W Brown; D R Mody; L Fernandez; R Laucirica
Journal:  Anticancer Res       Date:  1995 Nov-Dec       Impact factor: 2.480

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Journal:  Hum Pathol       Date:  2009-09-16       Impact factor: 3.466

8.  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.

Authors:  C W Elston; I O Ellis
Journal:  Histopathology       Date:  1991-11       Impact factor: 5.087

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10.  Functional genomics reveal that the serine synthesis pathway is essential in breast cancer.

Authors:  Richard Possemato; Kevin M Marks; Yoav D Shaul; Michael E Pacold; Dohoon Kim; Kıvanç Birsoy; Shalini Sethumadhavan; Hin-Koon Woo; Hyun G Jang; Abhishek K Jha; Walter W Chen; Francesca G Barrett; Nicolas Stransky; Zhi-Yang Tsun; Glenn S Cowley; Jordi Barretina; Nada Y Kalaany; Peggy P Hsu; Kathleen Ottina; Albert M Chan; Bingbing Yuan; Levi A Garraway; David E Root; Mari Mino-Kenudson; Elena F Brachtel; Edward M Driggers; David M Sabatini
Journal:  Nature       Date:  2011-08-18       Impact factor: 49.962

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