Literature DB >> 33455096

CXCL13/CXCR5 are potential biomarkers for diagnosis and prognosis for breast cancer.

Li Jiang1, Dong Wang, Mengfei Sheng, Deyong Tong, Hanchen Liu, Liangliang Dong, Jianjun Ma.   

Abstract

PURPOSE: Breast cancer is known as the second frequent cancer in the world, even as the most common cancer among women. This study aimed to explore the correlation of CXCL13/CXCR5 expression with clinical characteristics in breast cancer and evaluate their potential to be used as biomarkers in diagnosis and prognosis of this disease.
METHODS: A total of 133 female patients diagnosed with breast cancer were collected. The expression of CXCL13 and CXCR5 mRNA was analyzed by quantitative real-time polymerase chain reaction (qRT-PCR) and immunohistochemical staining.
RESULTS: The expression of CXCL13 and CXCR5 was significantly higher in breast cancer tissue than in normal breast tissues, with a high correlation coefficient of 0.9973. Positive cell numbers and positive expression rates of CXCL13 and CXCR5 in cancer breast tissue were much higher than those in normal breast tissue, and raised with increase of cancer stage. The high expression of CXCL13 and CXCR5 in breast cancer tissue was notably associated with lymph node metastasis, distant metastasis, disease stage, but not with age, Her-2 status, histological type or tumor size. Immunohistochemistry analysis showed that the positive expression of CXCL13 and CXCR5 was related with cancer stage, Also, positive expression of CXCL13 was correlated with positive expression of CXCR5. Patient age, Her-2 status, tumor size, histological type, and lymph node metastasis were independent factors for the 5-year survival rate of breast cancer patients, whereas the 5-year survival was correlated with distant metastasis and expression of CXCL13 and CXCR5.
CONCLUSIONS: These results suggested that CXCL13 and CXCR5 expressions could act as potential biomarkers for breast cancer diagnosis and prognosis.

Entities:  

Year:  2020        PMID: 33455096

Source DB:  PubMed          Journal:  J BUON        ISSN: 1107-0625            Impact factor:   2.533


  4 in total

1.  A comprehensive bioinformatics analysis to identify potential prognostic biomarkers among CC and CXC chemokines in breast cancer.

Authors:  Hossein Hozhabri; Marziyeh Mazaheri Moghaddam; Madiheh Mazaheri Moghaddam; Ali Mohammadian
Journal:  Sci Rep       Date:  2022-06-20       Impact factor: 4.996

2.  CXCL13 expression in mouse 4T1 breast cancer microenvironment elicits antitumor immune response by regulating immune cell infiltration.

Authors:  Qizhi Ma; Yue Chen; Qing Qin; Fuchun Guo; Yong-Sheng Wang; Dan Li
Journal:  Precis Clin Med       Date:  2021-08-04

Review 3.  Role of chemokine systems in cancer and inflammatory diseases.

Authors:  Hongyi Li; Min Wu; Xia Zhao
Journal:  MedComm (2020)       Date:  2022-06-08

4.  Establishment and validation of an individualized macrophage-related gene signature to predict overall survival in patients with triple negative breast cancer.

Authors:  Peng Su; Ziqi Peng; Boyang Xu; Bowen Yang; Feng Jin
Journal:  PeerJ       Date:  2021-11-23       Impact factor: 2.984

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.