Literature DB >> 27146585

Plasma S100P level as a novel prognostic marker of metastatic breast cancer.

Cike Peng1,2, Hongda Chen3, Markus Wallwiener4,5, Caroline Modugno4,5, Katarina Cuk6,7, Dharanija Madhavan6,7, Andreas Trumpp8,9, Jörg Heil4, Frederik Marmé4, Juliane Nees4,5, Sabine Riethdorf10, Sarah Schott4, Christof Sohn4, Klaus Pantel10, Andreas Schneeweiss4,5, Rongxi Yang6,7,11, Barbara Burwinkel6,7,11.   

Abstract

UNLABELLED: Metastasis is the main cause of death in breast cancer patients. The development of reliable and cost-effective biomarker to evaluate the prognosis of metastatic breast cancer (MBC) patients is of great importance. S100P is a member of S100 family and has been proved to be associated with metastasis establishment.
METHODS: We investigated the plasma S100P levels in 60 healthy controls, 48 primary and 273 metastatic breast cancer patients. The MBC patients were followed-up for disease progression and death up to 3.5 years after recruitment. Radiographic response of MBC patients were also analyzed for investigation on treatment monitoring value of plasma S100P level. We found a robust association between high plasma S100P level (>7 ng/mL) and poor prognosis of metastatic breast cancer (MBC) patients (median progression-free survival time: 5.0 vs. 8.7 months, log-rank test p < 0.001; median overall survival time: 22.5 vs. 31.6 months, log-rank test p < 0.001). The plasma S100P level added additional prognostic relevance to the conventional prognostication model with clinicopathological factors and CTC enumeration. The plasma S100P level decreased significantly after treatment, while the reduction correlated with the radiographic response of the MBC patients. This finding indicates the value of plasma S100P in dynamic evaluation of treatment outcome. We hereby suggest plasma S100P level as a simple and cost-effective marker for the prognosis of metastatic breast cancer.

Entities:  

Keywords:  Biomarker; Metastatic breast cancer; Plasma; Prognosis; S100P

Mesh:

Substances:

Year:  2016        PMID: 27146585     DOI: 10.1007/s10549-016-3776-1

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  4 in total

1.  Calcium-Binding Protein S100P Promotes Tumor Progression but Enhances Chemosensitivity in Breast Cancer.

Authors:  Yizi Cong; Yuxin Cui; Suxia Wang; Lei Jiang; Jianqiao Cao; Shiguang Zhu; Emily Birkin; Jane Lane; Fiona Ruge; Wen G Jiang; Guangdong Qiao
Journal:  Front Oncol       Date:  2020-09-15       Impact factor: 6.244

2.  Identification of Potential Key Genes Associated With the Pathogenesis, Metastasis, and Prognosis of Triple-Negative Breast Cancer on the Basis of Integrated Bioinformatics Analysis.

Authors:  Bin Zhao; Yali Xu; Yang Zhao; Songjie Shen; Qiang Sun
Journal:  Front Oncol       Date:  2020-06-12       Impact factor: 6.244

3.  Molecular changes during extended neoadjuvant letrozole treatment of breast cancer: distinguishing acquired resistance from dormant tumours.

Authors:  Cigdem Selli; Arran K Turnbull; Dominic A Pearce; Ang Li; Anu Fernando; Jimi Wills; Lorna Renshaw; Jeremy S Thomas; J Michael Dixon; Andrew H Sims
Journal:  Breast Cancer Res       Date:  2019-01-07       Impact factor: 6.466

4.  A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.

Authors:  Hanliang Jiang; Shan Xu; Chunhua Chen
Journal:  BMC Cancer       Date:  2020-08-20       Impact factor: 4.430

  4 in total

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