PAM50 Molecular Intrinsic Subtypes in the Nurses' Health Study Cohorts. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Modified median and subgroup-specific gene centering are two essential preprocessing methods to assign breast cancer molecular subtypes by PAM50. We evaluated the PAM50 subtypes derived from both methods in a subset of Nurses' Health Study (NHS) and NHSII participants; correlated tumor subtypes by PAM50 with IHC surrogates; and characterized the PAM50 subtype distribution, proliferation scores, and risk of relapse with proliferation and tumor size weighted (ROR-PT) scores in the NHS/NHSII. METHODS: PAM50 subtypes, proliferation scores, and ROR-PT scores were calculated for 882 invasive breast tumors and 695 histologically normal tumor-adjacent tissues. Cox proportional hazards models evaluated the relationship between PAM50 subtypes or ROR-PT scores/groups with recurrence-free survival (RFS) or distant RFS. RESULTS: PAM50 subtypes were highly comparable between the two methods. The agreement between tumor subtypes by PAM50 and IHC surrogates improved to fair when Luminal subtypes were grouped together. Using the modified median method, our study consisted of 46% Luminal A, 18% Luminal B, 14% HER2-enriched, 15% Basal-like, and 8% Normal-like subtypes; 53% of tumor-adjacent tissues were Normal-like. Women with the Basal-like subtype had a higher rate of relapse within 5 years. HER2-enriched subtypes had poorer outcomes prior to 1999. CONCLUSIONS: Either preprocessing method may be utilized to derive PAM50 subtypes for future studies. The majority of NHS/NHSII tumor and tumor-adjacent tissues were classified as Luminal A and Normal-like, respectively. IMPACT: Preprocessing methods are important for the accurate assignment of PAM50 subtypes. These data provide evidence that either preprocessing method can be used in epidemiologic studies.

authors

  • Kensler, Kevin
  • Sankar, Venkat N
  • Wang, Jun
  • Zhang, Xuehong
  • Rubadue, Christopher A
  • Baker, Gabrielle M
  • Parker, Joel S
  • Hoadley, Katherine A
  • Stancu, Andreea L
  • Pyle, Michael E
  • Collins, Laura C
  • Hunter, David J
  • Eliassen, A Heather
  • Hankinson, Susan E
  • Tamimi, Rulla
  • Heng, Yujing J

publication date

  • December 27, 2018

Research

keywords

  • Biomarkers, Tumor
  • Health Surveys

Identity

PubMed Central ID

  • PMC6449178

Scopus Document Identifier

  • 85063896219

Digital Object Identifier (DOI)

  • 10.1158/1055-9965.EPI-18-0863

PubMed ID

  • 30591591

Additional Document Info

volume

  • 28

issue

  • 4