Prognostic Relevance of AGR2 Expression in Breast Cancer
Overview
Authors
Affiliations
Purpose: We aimed to evaluate the expression of the human anterior gradient-2 (AGR2) in breast cancer on RNA and protein level and to correlate it with clinicopathologic data, including patient survival.
Experimental Design: AGR2 mRNA expression was assessed by reverse transcription-PCR in 25 breast cancer samples and normal tissues. A polyclonal rabbit AGR antiserum was used for immunohistochemistry on 155 clinicopathologically characterized cases. Statistical analyses were applied to test for prognostic and diagnostic associations.
Results: Immunohistochemical detection of AGR2 was statistically significantly associated with positive estrogen receptor status and lower tumor grade. AGR2-positive tumors showed significantly longer overall survival times in univariate analyses. For the subgroup of nodal-negative tumors, an independent prognostic value of AGR2 was found.
Conclusions: The expression of AGR2 in breast cancer is strongly associated with markers of tumor differentiation (estrogen receptor positivity, lower tumor grade). A prognostic effect of AGR2 for overall survival could be shown, which became independently significant for the group of nodal-negative tumors.
Robinson R, Reyes L, Christopher B, Duncan R, Burge R, Siegel J Antibodies (Basel). 2024; 13(4).
PMID: 39727484 PMC: 11672854. DOI: 10.3390/antib13040101.
Prevalence and Significance of AGR2 Expression in Human Cancer.
Schraps N, Port J, Menz A, Viehweger F, Buyucek S, Dum D Cancer Med. 2024; 13(21):e70407.
PMID: 39533806 PMC: 11557986. DOI: 10.1002/cam4.70407.
Prostate cancer research: tools, cell types, and molecular targets.
Liu A Front Oncol. 2024; 14:1321694.
PMID: 38595814 PMC: 11002103. DOI: 10.3389/fonc.2024.1321694.
AGR2 and FOXA1 as prognostic markers in ER-positive breast cancer.
Zhou M, Gan X, Ren Y, Chen Q, Yang Y, Weng Z BMC Cancer. 2023; 23(1):743.
PMID: 37568077 PMC: 10416444. DOI: 10.1186/s12885-023-10964-6.
AGR2: a secreted protein worthy of attention in diagnosis and treatment of breast cancer.
Zhang K, Li Y, Kong X, Lei C, Yang H, Wang N Front Oncol. 2023; 13:1195885.
PMID: 37197416 PMC: 10183570. DOI: 10.3389/fonc.2023.1195885.