Literature DB >> 30609035

Low expression of CRISP3 predicts a favorable prognosis in patients with mammary carcinoma.

Yanyan Wang1, Ning Sheng2,3, Ying Xie2,3, Sihan Chen2,3, Jun Lu2,3, Zifeng Zhang2,3, Qun Shan2,3, Dongmei Wu2,3, Guihong Zheng2,3, Mengqiu Li2,3, Yuanlin Zheng2,3, Shaohua Fan2,3.   

Abstract

The discovery of cysteine-rich secretory protein 3 (CRISP3) has been made in human neutrophils for the first time. Cloning of the complementary DNA (cDNA) for CRISP3 was performed from a cDNA library of human bone marrow. In patients with mammary carcinoma, we found that lower expression of CRISP3 was connected to a significantly improved DFS (disease-free survival) and OS (overall survival). Furthermore, the CRISP3 protein level was significantly associated with negative ANXA1 protein level. In addition, the heterogeneous expression of CRISP3 had been exhibited in diverse mammary carcinoma cells. A significant higher mRNA and the protein level of CRISP3 were seen in T-47D as well as SK-BR-3 cells compared with those in other types of mammary carcinoma cells. Knockdown of CRISP3 in T-47D or SK-BR-3 cells resulted in the weakened migration or invasion abilities. Furthermore, CRISP3 knockdown significantly inhibited the ERK1/2 MAPK signaling pathway in T-47D or SK-BR-3 cells. Research results indicated that the lowering in the expression of CRISP3 is likely to serve as an unprecedented approach for the treatment of mammary carcinoma.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  CRISP3; invasion; mammary carcinoma

Mesh:

Substances:

Year:  2019        PMID: 30609035     DOI: 10.1002/jcp.28043

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  4 in total

1.  Circular RNA hsa_circ_0003823 promotes the Tumor Progression, Metastasis and Apatinib Resistance of Esophageal Squamous Cell Carcinoma by miR-607/CRISP3 Axis.

Authors:  Yu-Ming Wang; Qi-Wu Zhao; Zhi-Yong Sun; Hai-Ping Lin; Xin Xu; Min Cao; Yu-Jie Fu; Xiao-Jing Zhao; Xiu-Mei Ma; Qing Ye
Journal:  Int J Biol Sci       Date:  2022-09-21       Impact factor: 10.750

2.  Serum proteins differentially expressed in early- and late-onset preeclampsia assessed using iTRAQ proteomics and bioinformatics analyses.

Authors:  Chengcheng Tu; Feng Tao; Ying Qin; Mingzhu Wu; Ji Cheng; Min Xie; Bing Shen; Junjiao Ren; Xiaohong Xu; Dayan Huang; Hongbo Chen
Journal:  PeerJ       Date:  2020-09-01       Impact factor: 2.984

3.  Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning.

Authors:  Yidi Liu; Mu Yang; Weiwei Sun; Mingqiang Zhang; Jiao Sun; Wenjuan Wang; Dongqi Tang; Dongfeng Yuan
Journal:  Transl Cancer Res       Date:  2020-06       Impact factor: 1.241

4.  The integration of differentially expressed genes based on multiple microarray datasets for prediction of the prognosis in oral squamous cell carcinoma.

Authors:  Yinuan Zhao; Jiacheng Huang; Jianzhi Chen
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.