Literature DB >> 23420288

Serum HER-2 predicts response and resistance to trastuzumab treatment in breast cancer.

Eva Rabing Brix Petersen1, Patricia Diana Sørensen, Erik Hugger Jakobsen, Jonna Skov Madsen, Ivan Brandslund.   

Abstract

BACKGROUND: Serum HER2 (S-HER2) was approved in 2003 by the US Food and Drug Administration (FDA) for monitoring trastuzumab treatment in tissue HER2 positive breast cancer patients. Information of the value of S-HER2 is scarce. We hypothesised that S-HER2 would reflect the clinical effect of trastuzumab.
METHODS: We followed 48 patients eligible for trastuzumab treatment for up to 6 years or until death. S-HER2 was measured on an ADVIA Centaur System and S-Trastuzumab was measured by an in-house developed fluorescent enzyme immunoassay system on the ImmunoCap 100.
RESULTS: A decrease in S-HER2 of ≥ 20% was correlated to no progression in the disease in 20 out of 21 clinical courses (p<0.0001). An increase in S-HER2 of ≥ 20% was correlated to progression in the disease in 40 out of 44 clinical courses (p<0.0001). Patients with no recurrence after trastuzumab treatment (n=18) had a median S-HER2 concentration of 10.5 μg/L, whereas patients alive with recurrence (n=13) had a median S-HER2 of 20.1 μg/L (p=0.002). Patients who died prompted by recurrence (n=17) had a median S-HER2 of 232.4 μg/L at latest measurement before death (p=<0.0001) compared to patients without recurrence. In two patients with S-HER2 values above 1000 μg/L the concentrations of S-trastuzumab were measured below the target trough concentration in serum of 10 mg/L.
CONCLUSIONS: Decreasing values of S-HER2 predicts response to treatment whereas increasing levels predict resistance. S-HER2 above 1000 μg/L warns that standard doses of trastuzumab may be insufficient as reflected by low concentrations of S-trastuzumab.

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Year:  2013        PMID: 23420288     DOI: 10.1515/cclm-2012-0558

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  7 in total

1.  Direct detection of cancer biomarkers in blood using a "place n play" modular polydimethylsiloxane pump.

Authors:  Honglian Zhang; Gang Li; Lingying Liao; Hongju Mao; Qinghui Jin; Jianlong Zhao
Journal:  Biomicrofluidics       Date:  2013-05-23       Impact factor: 2.800

2.  Predictive value of serum HER2 ECD in patients with HER2-positive advanced gastric cancer treated with trastuzumab plus chemotherapy.

Authors:  Jun Zhou; Zhi Peng; Yi Liu; Jifang Gong; Xiaotian Zhang; Ming Lu; Jing Gao; Yili Li; Yanyan Li; Lin Shen
Journal:  J Gastroenterol       Date:  2015-02-22       Impact factor: 7.527

3.  Identification of HER2-Positive Metastases in Patients with HER2-Negative Primary Breast Cancer by Using HER2-targeted 89Zr-Pertuzumab PET/CT.

Authors:  Gary A Ulaner; Jorge A Carrasquillo; Christopher C Riedl; Randy Yeh; Vaios Hatzoglou; Dara S Ross; Komal Jhaveri; Sarat Chandarlapaty; David M Hyman; Brian M Zeglis; Serge K Lyashchenko; Jason S Lewis
Journal:  Radiology       Date:  2020-06-09       Impact factor: 11.105

4.  Outcome prediction values of soluble human epidermal growth factor receptor-2 extracellular domain in metastatic breast cancer.

Authors:  Xiying Shao; Xian Wang; Xiaohong Xu; Jianguo Feng; Mark Han; Han Zhang; Zhan-Hong Chen; Sheng Wang; Yi-Min Zang; Ping Huang; Hongchuan Jin; Xiaojia Wang
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Review 5.  Circulating HER2 Extracellular Domain: A Specific and Quantitative Biomarker of Prognostic Value in all Breast Cancer Patients?

Authors:  Walter P Carney; Dirk Bernhardt; Bharat Jasani
Journal:  Biomark Cancer       Date:  2013-08-12

6.  EGFR expression is associated with cytoplasmic staining of CXCR4 and predicts poor prognosis in triple-negative breast carcinomas.

Authors:  Rong-Hui Li; Wen-He Huang; Jun-Dong Wu; Cai-Wen Du; Guo-Jun Zhang
Journal:  Oncol Lett       Date:  2016-12-12       Impact factor: 2.967

7.  Elevated serum HER-2 predicts poor prognosis in breast cancer and is correlated to ADAM10 expression.

Authors:  Hui Zheng; Ailing Zhong; Suhong Xie; Yanchun Wang; Jiajun Sun; Jie Zhang; Ying Tong; Miaomiao Chen; Guihong Zhang; Qian Ma; Jinyan Kai; Lin Guo; Renquan Lu
Journal:  Cancer Med       Date:  2019-01-19       Impact factor: 4.452

  7 in total

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