Protease Activated Receptors 1 and 2 Correlate Differently with Breast Cancer Aggressiveness Depending on Tumor ER Status

PLoS One. 2015 Aug 5;10(8):e0134932. doi: 10.1371/journal.pone.0134932. eCollection 2015.

Abstract

Experimental models implicate protease activated receptors (PARs) as important sensors of the proteolytic tumor microenvironment during breast cancer development. However, the role of the major PARs, PAR-1 and PAR-2, in human breast tumors remains to be elucidated. Here, we have investigated how PAR-1 and PAR-2 protein expression correlate with established clinicopathological variables and patient outcome in a well-characterized cohort of 221 breast cancer patients. Univariable and multivariable hazard ratios (HR) were estimated by the Cox proportional hazards model, distant disease-free survival (DDFS) and overall survival by the Kaplan-Meier method, and survival in different strata was determined by the log-rank test. Associations between PARs and clinicopathological variables were analyzed using Pearson's χ2-test. We find that PAR-2 associates with DDFS (HR = 3.1, P = 0.003), whereas no such association was found with PAR-1 (HR = 1.2, P = 0.6). Interestingly, the effect of PAR-2 was confined to the ER-positive sub-group (HR = 5.5, P = 0.003 vs. HR = 1.2 in ER-negative; P = 0.045 for differential effect), and PAR-2 was an independent prognostic factor specifically in ER-positive tumors (HR = 3.9, P = 0.045). On the contrary, PAR-1 correlated with worse prognosis specifically in the ER-negative group (HR = 2.6, P = 0.069 vs. HR = 0.5, P = 0.19 in ER-positive; P = 0.026 for differential effect). This study provides novel insight into the respective roles of PAR-1 and PAR-2 in human breast cancer and suggests a hitherto unknown association between PARs and ER signaling that warrants further investigation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Breast Neoplasms / metabolism*
  • Breast Neoplasms / pathology
  • Cohort Studies
  • Female
  • Humans
  • Immunohistochemistry / statistics & numerical data
  • Kaplan-Meier Estimate
  • Middle Aged
  • Prognosis
  • Proportional Hazards Models
  • Receptor, PAR-1 / metabolism*
  • Receptor, PAR-2 / metabolism*
  • Receptors, Estrogen / metabolism*
  • Signal Transduction
  • Tissue Array Analysis / statistics & numerical data

Substances

  • Receptor, PAR-1
  • Receptor, PAR-2
  • Receptors, Estrogen

Grants and funding

This work was supported by grants from the Swedish Cancer Fund (MB); the Swedish Research Council (MB); the Swedish Society of Medicine (MB); the Physiographic Society, Lund (MB); the Gunnar Nilsson, Anna Lisa and Sven Eric Lundgren, and Kamprad Foundations (MB); the Skåne University Hospital donation funds (MB); the Skåne County Research Foundation (PM); and the Governmental funding of clinical research within the national health services (MB). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.