Literature DB >> 11522269

Biochemical markers in breast cancer: which ones are clinically useful?

M J Duffy1.   

Abstract

Breast cancer is the most common neoplasm affecting women in the Western world with approximately 1 in 11 developing the malignancy and 1 in 30 dying from the disease. For optimum management of these patients, assay of certain biochemical markers is necessary. Clinically, the most useful markers in breast cancer are the estrogen and progesterone receptors that are used to predict response to hormone therapy. Both American and European Expert Panels have recommended routine determination of these steroid hormone receptors in all patients with breast cancer. For surveillance of patients with diagnosed breast cancer, both CA 15-3 and BR 27.29 can be used. Serial determinations of these markers have the potential to preclinically detect recurrent disease and monitor the treatment of advanced disease. However, the benefit of this monitoring on patient outcome or quality of life is not clear. New or potentially new markers for breast cancer include BRCA1 and BRCA2 for selecting patients at high risk of developing breast cancer, urokinase plasminogen activator and PA1-1 for assessing prognosis and HER-2 for predicting response to the therapeutic antibody, Herceptin.

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Year:  2001        PMID: 11522269     DOI: 10.1016/s0009-9120(00)00201-0

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  15 in total

1.  Cytokine comparisons between women with breast cancer and women with a negative breast biopsy.

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2.  Usefulness of serum CA 15.3 and histopathological prognostic indices in breast cancer.

Authors:  R Nalini; C R Wilma Delphine Silvia; Purnima M Makhija; Sheila Uthappa
Journal:  Indian J Clin Biochem       Date:  2005-01

3.  Morin augments anticarcinogenic and antiproliferative efficacy against 7,12-dimethylbenz(a)-anthracene induced experimental mammary carcinogenesis.

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Journal:  Mol Cell Biochem       Date:  2012-02-19       Impact factor: 3.396

4.  Development and verification of a prediction model using serum tumor markers to predict the response to chemotherapy of patients with metastatic or recurrent breast cancer.

Authors:  Kan Yonemori; Noriyuki Katsumata; Ayako Noda; Hajime Uno; Mayu Yunokawa; Eriko Nakano; Tsutomu Kouno; Chikako Shimizu; Masashi Ando; Kenji Tamura; Masahiro Takeuchi; Yasuhiro Fujiwara
Journal:  J Cancer Res Clin Oncol       Date:  2008-06-05       Impact factor: 4.553

Review 5.  Circulating tumour markers in breast cancer.

Authors:  Ettore Seregni; Antonio Coli; Nicola Mazzucca
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-05-04       Impact factor: 9.236

6.  PAK5-Egr1-MMP2 signaling controls the migration and invasion in breast cancer cell.

Authors:  Xiao-Xia Wang; Qian Cheng; Shang-Nuan Zhang; He-ya Qian; Jin-Xia Wu; Hui Tian; Dong-Sheng Pei; Jun-Nian Zheng
Journal:  Tumour Biol       Date:  2013-05-22

7.  CA 15-3 is predictive of response and disease recurrence following treatment in locally advanced breast cancer.

Authors:  Dhafir Al-azawi; Gabrielle Kelly; Eddie Myers; Enda W McDermott; Arnold D K Hill; Michael J Duffy; Niall O Higgins
Journal:  BMC Cancer       Date:  2006-09-05       Impact factor: 4.430

8.  Quantitative analysis of human kallikrein gene 14 expression in breast tumours indicates association with poor prognosis.

Authors:  G M Yousef; C A Borgoño; A Scorilas; R Ponzone; N Biglia; L Iskander; M-E Polymeris; R Roagna; P Sismondi; E P Diamandis
Journal:  Br J Cancer       Date:  2002-11-18       Impact factor: 7.640

9.  Applications of machine learning in cancer prediction and prognosis.

Authors:  Joseph A Cruz; David S Wishart
Journal:  Cancer Inform       Date:  2007-02-11

10.  Cancer Antigen 15-3 Serum Level as a Biomarker for Advanced Micropapillary Urothelial Carcinoma of the Bladder: A Case Report.

Authors:  Koichiro Takayama; Shintaro Narita; Yasushiro Terai; Ryoko Saito; Tomonori Habuchi
Journal:  Case Rep Oncol       Date:  2021-06-29
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