Literature DB >> 29345293

S100B expression in breast cancer as a predictive marker for cancer metastasis.

Meng-Chi Yen1, Yung-Chi Huang2, Jung-Yu Kan3, Po-Lin Kuo3, Ming-Feng Hou3, Ya-Ling Hsu3.   

Abstract

In the tumor microenvironment, soluble molecules play important role in the establishment of a pre-metastatic niche. The S100 calcium-binding protein family are inflammatory molecules that contribute to the development of a pro-inflammatory tumor microenvironment. S100B belongs to the S100 family and serum S100B (also known as S100beta) serves as a marker for metastasis in lung cancer, ovarian cancer and melanoma. However, the association between S100B and the metastasis of breast cancer is not yet well understood. In the present study, a relatively low S100B expression was observed in the tumor samples compared to normal breast tissue among online microarray datasets. When the estrogen receptor (ER)-negative breast cancer cell lines, MDA-MB-231 and Hs578T, were treated with recombinant human S100B, cell migration was significantly inhibited and epithelial cadherin expression was increased. Our results revealed that a high S100B expression predicted a good overall survival in patients with ER-negative breast cancer, and good distant metastases-free survival in all patients with breast cancer via the analysis of the KM plotter and SurvExpress databases. Although previous studies have indicated that the interaction of S100B with wild-type p53 inhibits p53 function, a high S100B expression is associated with a good prognosis in patients with p53 mutant and p53 wild-type breast cancers. On the whole, our findings demonstrate that S100B treatment suppresses the migratory capacity of ER-negative breast cancer and that S100B expression may serve a predictive marker for metastasis in breast cancer.

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Year:  2017        PMID: 29345293     DOI: 10.3892/ijo.2017.4226

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  13 in total

1.  Prognostic Characteristics of Immune-Related Genes and the Related Regulatory Axis in Patients With Stage N+M0 Breast Cancer.

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2.  A novel immune-related prognostic index for predicting breast cancer overall survival.

Authors:  Xiaosi Yu; Juan Guo; Qian Zhou; Wenjie Huang; Chen Xu; Xinghua Long
Journal:  Breast Cancer       Date:  2020-11-04       Impact factor: 4.239

3.  Highly heterogeneous-related genes of triple-negative breast cancer: potential diagnostic and prognostic biomarkers.

Authors:  Yiduo Liu; Linxin Teng; Shiyi Fu; Guiyang Wang; Zhengjun Li; Chao Ding; Haodi Wang; Lei Bi
Journal:  BMC Cancer       Date:  2021-05-31       Impact factor: 4.430

4.  Coupled Genome-Wide DNA Methylation and Transcription Analysis Identified Rich Biomarkers and Drug Targets in Triple-Negative Breast Cancer.

Authors:  Maoni Guo; Siddharth Sinha; San Ming Wang
Journal:  Cancers (Basel)       Date:  2019-11-04       Impact factor: 6.639

Review 5.  Friend or Foe: S100 Proteins in Cancer.

Authors:  Chantal Allgöwer; Anna-Laura Kretz; Silvia von Karstedt; Mathias Wittau; Doris Henne-Bruns; Johannes Lemke
Journal:  Cancers (Basel)       Date:  2020-07-24       Impact factor: 6.639

6.  Computational Design of Macrocyclic Binders of S100B(ββ): Novel Peptide Theranostics.

Authors:  Srinivasaraghavan Kannan; Pietro G A Aronica; Thanh Binh Nguyen; Jianguo Li; Chandra S Verma
Journal:  Molecules       Date:  2021-01-30       Impact factor: 4.411

7.  Reduced expression of innate immunity-related genes in lymph node metastases of luminal breast cancer patients.

Authors:  Marta Popeda; Aleksandra Markiewicz; Tomasz Stokowy; Jolanta Szade; Magdalena Niemira; Adam Kretowski; Natalia Bednarz-Knoll; Anna J Zaczek
Journal:  Sci Rep       Date:  2021-03-03       Impact factor: 4.379

Review 8.  S100 Proteins in Acute Myeloid Leukemia.

Authors:  Annette K Brenner; Øystein Bruserud
Journal:  Neoplasia       Date:  2018-10-23       Impact factor: 5.715

Review 9.  Emerging Links between Control of Mitochondrial Protein ATAD3A and Cancer.

Authors:  Liwei Lang; Reid Loveless; Yong Teng
Journal:  Int J Mol Sci       Date:  2020-10-25       Impact factor: 5.923

10.  Comprehensive analysis of the expression and prognosis for S100 in human ovarian cancer: A STROBE study.

Authors:  Hong-Yu Xu; Hua-Mei Song; Quan Zhou
Journal:  Medicine (Baltimore)       Date:  2020-11-20       Impact factor: 1.817

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