Literature DB >> 24481067

S100 family signaling network and related proteins in pancreatic cancer (Review).

Yi-Fei Ji1, Hua Huang2, Feng Jiang1, Run-Zhou Ni1, Ming-Bing Xiao1.   

Abstract

The occurrence and development of pancreatic cancer is a complex process convoluted by multi-pathogenies, multi-stages and multi-factors. S100 proteins are members of the S100 family that regulate multiple cellular pathways related to pancreatic cancer progression and metastasis. S100 proteins have a broad range of intracellular and extracellular functions, including the regulation of protein phosphorylation and enzyme activity, calcium homeostasis and the regulation of cytoskeletal components and transcriptional factors. S100 proteins interact with receptor for advanced glycation end-products (RAGE), p53 and p21, which play a role in the degradation of the extracellular matrix (ECM) and metastasis, and also interact with cytoskeletal proteins and the plasma membrane in pancreatic cancer progression and metastasis. S100A11 and S100P are significant tumor markers for pancreatic cancer and unfavorable predictors for the prognosis of patients who have undergone surgical resection. Recently, S100A2 has been suggested to be a negative prognostic biomarker in pancreatic cancer, and the expression of S100A6 may be an independent prognostic impact factor. The expression of S100A4 and S100P is associated with drug resistance, differentiation, metastasis and clinical outcome. This review summarizes the role and significance of the S100 family signaling network and related proteins in pancreatic cancer.

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Year:  2014        PMID: 24481067     DOI: 10.3892/ijmm.2014.1633

Source DB:  PubMed          Journal:  Int J Mol Med        ISSN: 1107-3756            Impact factor:   4.101


  35 in total

1.  Expression of S100 family proteins in neonatal rats with sepsis and its significance.

Authors:  Haiying Huang; Luoyang Tu
Journal:  Int J Clin Exp Pathol       Date:  2015-02-01

Review 2.  Control of cell mechanics by RhoA and calcium fluxes during epithelial scattering.

Authors:  Hillary J Haws; Melissa A McNeil; Marc D H Hansen
Journal:  Tissue Barriers       Date:  2016-05-11

3.  Correlation between S100A11 and the TGF-β1/SMAD4 pathway and its effects on the proliferation and apoptosis of pancreatic cancer cell line PANC-1.

Authors:  Yi-Fei Ji; Tao Li; Feng Jiang; Wen-Kai Ni; Cheng-Qi Guan; Zhao-Xiu Liu; Cui-Hua Lu; Run-Zhou Ni; Wei Wu; Ming-Bing Xiao
Journal:  Mol Cell Biochem       Date:  2018-06-19       Impact factor: 3.396

4.  Network-based survival analysis to discover target genes for developing cancer immunotherapies and predicting patient survival.

Authors:  Xinwei He; Xiaoqiang Sun; Yongzhao Shao
Journal:  J Appl Stat       Date:  2020-09-03       Impact factor: 1.416

Review 5.  Epithelial-to-mesenchymal transition in thyroid cancer: a comprehensive review.

Authors:  Heewa Shakib; Sadegh Rajabi; Mohammad Hossien Dehghan; Farideh Jalali Mashayekhi; Nahid Safari-Alighiarloo; Mehdi Hedayati
Journal:  Endocrine       Date:  2019-08-04       Impact factor: 3.633

Review 6.  Ousting RAGE in melanoma: A viable therapeutic target?

Authors:  Deeba N Syed; Ahmed Aljohani; Durdana Waseem; Hasan Mukhtar
Journal:  Semin Cancer Biol       Date:  2017-10-24       Impact factor: 15.707

7.  Expression and clinical implication of S100A12 in gastric carcinoma.

Authors:  Dan Li; Zhi Zeng; Tao Yu; Jian Qin; Jie Wu; Jin-Chun Song; Zi-Ying Zhou; Jing-Ping Yuan
Journal:  Tumour Biol       Date:  2015-12-05

8.  S100 calcium-binding protein A6 promotes epithelial-mesenchymal transition through β-catenin in pancreatic cancer cell line.

Authors:  Xue Chen; Xinjuan Liu; Haibo Lang; Shiqi Zhang; Yanlin Luo; Jie Zhang
Journal:  PLoS One       Date:  2015-03-23       Impact factor: 3.240

9.  Knockdown of S100A11 expression suppresses ovarian cancer cell growth and invasion.

Authors:  Youqing Liu; Xiaobing Han; Baoan Gao
Journal:  Exp Ther Med       Date:  2015-02-03       Impact factor: 2.447

Review 10.  Molecular Imaging with MRI: Potential Application in Pancreatic Cancer.

Authors:  Chen Chen; Chang Qiang Wu; Tian Wu Chen; Meng Yue Tang; Xiao Ming Zhang
Journal:  Biomed Res Int       Date:  2015-10-22       Impact factor: 3.411

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