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01-11-2008 | Breast Oncology

REG1A Expression is an Independent Factor Predictive of Poor Prognosis in Patients with Breast Cancer

Authors: Yasuhiro Sasaki, MD, Yoshihiro Minamiya, MD, PhD, Naoko Takahashi, Taku Nakagawa, MD, PhD, Yoshihisa Katayose, MD, PhD, Aki Ito, MD, Hajime Saito, MD, PhD, Satoru Motoyama, MD, PhD, Jun-ichi Ogawa, MD, PhD

Published in: Annals of Surgical Oncology | Issue 11/2008

Abstract

Background

Regenerating gene I alpha (REG1A) is a growth factor known to affect pancreatic islet β cells. Although REG1A expression has also been observed in various malignant tumors, the correlation between REG1A expression and the clinicopathological characteristics of breast cancer and patient prognosis has not been evaluated.

Methods

Resected breast cancer tissues obtained at surgery from 150 breast cancer patients was stained with anti-REG1A antibody, after which the relative area occupied by stained tumor cells was evaluated under a light microscope and correlated with known clinicopathological factors.

Results

Whereas tumor cells were frequently stained with anti-REG1A antibody, cells from normal breast tissue were not stained. REG1A expression in tumors of breast cancer patients with HER2-positive disease was higher than those with HER2-negative disease (P = .0009). The 10-year disease-specific survival rate among patients with lower levels of REG1A was significantly better than among those with higher levels (P = .0002 by log rank test). Multivariate Cox proportional hazard analyses revealed REG1A (hazard ratio, 2.07; 95% confidence interval, 1.93 to 11.29; P = .0005) and axillary lymph node status (hazard ratio, 4.44; 95% confidence interval, 1.52 to 11.29; P = .0003) to be independent factors affecting the 10-year disease-specific survival rate.

Conclusion

High levels of REG1A expression within tumors are an independent predictor of poor prognosis in patients with breast cancer.

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Title: REG1A Expression is an Independent Factor Predictive of Poor Prognosis in Patients with Breast Cancer
Authors: Yasuhiro Sasaki, MD
Yoshihiro Minamiya, MD, PhD
Naoko Takahashi
Taku Nakagawa, MD, PhD
Yoshihisa Katayose, MD, PhD
Aki Ito, MD
Hajime Saito, MD, PhD
Satoru Motoyama, MD, PhD
Jun-ichi Ogawa, MD, PhD
Publication date: 01-11-2008
Publisher: Springer-Verlag
Published in: Annals of Surgical Oncology / Issue 11/2008
Print ISSN: 1068-9265
Electronic ISSN: 1534-4681
DOI: https://doi.org/10.1245/s10434-008-0137-2

Keynote webinar | Spotlight on medication adherence

Springer Medicine

REG1A Expression is an Independent Factor Predictive of Poor Prognosis in Patients with Breast Cancer

Abstract

Background

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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