Literature DB >> 23197387

Lactate dehydrogenase, catalase, and superoxide dismutase in tumor tissue of breast cancer patients in respect to mammographic findings.

Sandra Radenkovic1, Zorica Milosevic, Gordana Konjevic, Katarina Karadzic, Branislav Rovcanin, Marko Buta, Kristina Gopcevic, Vladimir Jurisic.   

Abstract

Lactate dehydrogenase (LDH), marker of anaerobic metabolism, is associated with highly invasive and metastatic breast cancer. Novel studies show that increased anaerobic metabolism (LDH), as well as activity of antioxidative enzymes (superoxide dismutase (SOD) and catalase (CAT)), is correlated with higher mammographic density, as known predictor of breast cancer risk. In this study, we measured LDH, MDH, and SOD activity in tumor and adjacent tissues of breast cancer patients by spectrophotometric assay. Mammograms were evaluated according to the American College of Radiology Breast Imaging Reporting and Data system. Mammographically dense breast tissue is associated with higher activity of LDH in tumor tissue of breast cancer patients. Moreover, patients with masses have significantly higher activity of LDH compared to patients with focal asymmetries or architectural distortion. Patients with spiculated mass margin had higher activity of LDH compared to patients with focal asymmetries or architectural distortion. Activity of LDH in patients significantly increases, while activity of CAT significantly decreases with the increase of BIRADS category. These results suggest that the association of activity of LDH and CAT in tumor tissue with mammographic characteristics could help in defining aggressive breast cancers.

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Year:  2013        PMID: 23197387     DOI: 10.1007/s12013-012-9482-7

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  12 in total

1.  Letrozole-induced functional changes in carcinoma-associated fibroblasts and their influence on breast cancer cell biology.

Authors:  Kaifu Li; Hua Kang; Yajun Wang; Tao Hai; Guohua Rong; Haichen Sun
Journal:  Med Oncol       Date:  2016-05-27       Impact factor: 3.064

2.  SOX4 overexpression is a novel biomarker of malignant status and poor prognosis in breast cancer patients.

Authors:  Guo-Dong Song; Yu Sun; Hong Shen; Wei Li
Journal:  Tumour Biol       Date:  2015-01-16

3.  Preliminary Study on Serum Lactate Dehydrogenase (LDH)-Prognostic Biomarker in Carcinoma Breast.

Authors:  Aditi Agrawal; Mahendra Bhauraoji Gandhe; Dilip Gupta; M V R Reddy
Journal:  J Clin Diagn Res       Date:  2016-03-01

4.  Clinicopathological significance of CD133 and CD44 expression in infiltrating ductal carcinoma and their relationship to angiogenesis.

Authors:  Zhengquan Han; Zhendong Chen; Rongsheng Zheng; Zenong Cheng; Xiaomeng Gong; Danna Wang
Journal:  World J Surg Oncol       Date:  2015-02-15       Impact factor: 2.754

5.  Association of the Alu insertion polymorphism in the progesterone receptor gene with breast cancer in a Mexican population.

Authors:  Martha Patricia Gallegos-Arreola; Luis E Figuera; Liliana Gómez Flores-Ramos; Ana María Puebla-Pérez; Guillermo Moisés Zúñiga-González
Journal:  Arch Med Sci       Date:  2015-06-19       Impact factor: 3.318

6.  Enrichment of CD44 in basal-type breast cancer correlates with EMT, cancer stem cell gene profile, and prognosis.

Authors:  Hanxiao Xu; Yijun Tian; Xun Yuan; Yu Liu; Hua Wu; Qian Liu; Gen Sheng Wu; Kongming Wu
Journal:  Onco Targets Ther       Date:  2016-01-21       Impact factor: 4.147

7.  BI-RADS 3-5 microcalcifications: prediction of lymph node metastasis of breast cancer.

Authors:  Dongzhi Cen; Li Xu; Siwei Zhang; Shuqin Zhou; Yan Huang; Zhiguang Chen; Ningna Li; Yuan Wang; Qun Wang
Journal:  Oncotarget       Date:  2017-05-02

Review 8.  Expression profile of SIX family members correlates with clinic-pathological features and prognosis of breast cancer: A systematic review and meta-analysis.

Authors:  Han-Xiao Xu; Kong-Ju Wu; Yi-Jun Tian; Qian Liu; Na Han; Xue-Lian He; Xun Yuan; Gen Sheng Wu; Kong-Ming Wu
Journal:  Medicine (Baltimore)       Date:  2016-07       Impact factor: 1.889

9.  Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins.

Authors:  Saiful Anuar Karsani; Nor Afiza Saihen; Rosnah Binti Zain; Sok-Ching Cheong; Mariati Abdul Rahman
Journal:  Proteome Sci       Date:  2014-01-15       Impact factor: 2.480

10.  Detection of Superoxide Alterations Induced by 5-Fluorouracil on HeLa Cells with a Cell-Based Biosensor.

Authors:  Sophia Mavrikou; Vasileios Tsekouras; Maria-Argyro Karageorgou; Georgia Moschopoulou; Spyridon Kintzios
Journal:  Biosensors (Basel)       Date:  2019-10-16
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