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AR negative triple negative or “Quadruple Negative” breast cancers in African American women have an enriched basal and immune signature

  • Melissa B Davis
    ,
  • Shweta Tripathi
    ,
  • Raymond Hughley
    ,
  • Qinghua He
    ,
  • Sejong Bae
    ,
  • Balasubramanyam Karanam
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

There is increasing evidence that Androgen Receptor (AR) expression has prognostic usefulness in Triple negative breast cancer (TNBC), where tumors that lack AR expression are considered “Quadruple negative” Breast Cancers (“QNBC”). However, a comprehensive analysis of AR expression within all breast cancer subtypes or stratified by race has not been reported. We assessed AR mRNA expression in 925 tumors from The Cancer Genome Atlas (TCGA), and 136 tumors in 2 confirmation sets. AR protein expression was determined by immunohistochemistry in 197 tumors from a multi-institutional cohort, for a total of 1258 patients analyzed. Cox hazard ratios were used to determine correlations to PAM50 breast cancer subtypes, and TNBC subtypes. Overall, AR-negative patients are diagnosed at a younger age compared to AR-positive patients, with the average age of AA AR-negative patients being, 49. AA breast tumors express AR at lower rates compared to Whites, independent of ER and PR expression (p<0.0001). AR-negative patients have a (66.60; 95% CI, 32–146) odds ratio of being basal-like compared to other PAM50 subtypes, and this is associated with an increased time to progression and decreased overall survival. AA “QNBC” patients predominately demonstrated BL1, BL2 and IM subtypes, with differential expression of E2F1, NFKBIL2, CCL2, TGFB3, CEBPB, PDK1, IL12RB2, IL2RA, and SOS1 genes compared to white patients. Immune checkpoint inhibitors PD-1, PD-L1, and CTLA-4 were significantly upregulated in both overall “QNBC” and AA “QNBC” patients as well. Thus, AR could be used as a prognostic marker for breast cancer, particularly in AA “QNBC” patients.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

e0196909

Journal (Volume, Issue Number)

PloS one (Volume 13, Issue 6)

Publication milestones

  • Published - 06/2018

Publication status

Published - 06/2018

ISSN

1932-6203

Publication IDs

  • Scopus: 85048783081
  • PubMed: 29912871

Publication metrics

Metrics

SciVal
citations
23
Scopus
citations
Fractional count
1
Fractional count
0.09
Fractional count
10
Fractional count
0.91
Fractional count
1
Fractional count
1
SciVal
FWCI
1.50
SciVal
Author count
11
SciVal
Paper percentile
93
SciVal
Top percentile
10

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Social media
1
Mentions
7
Citation count
61
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104

Funding Details

This work was supported by grants U54-MD007585-26 (NIH/RCMI) [CY], U54 CA118623 (NIH/NCI) [CY], (NIH/NCI) 1 R21 CA188799-01 [CY]; and a Department of Defense Grant, PC120913, W81XWH-10-1-0543. These funding agencies or organizations did not play a role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript and only provided financial support in the form of authors’ salaries and/or research materials. The funder (Henry Ford Health Systems/Cancer Institute) provided support in the form of salaries for author [MBD], but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. This work was supported by grants U54MD007585 (NIH/RCMI) [CY], U54 CA118623 (NIH/ NCI) [CY], (NIH/NCI) 1 R21 CA188799-01 [CY]; and a Department of Defense Grant, PC120913, W81XWH-10-1-0543. Statistical analysis from the Geo website was performed by the University Alabama at Birmingham and Tuskegee University Statistical Cores. We also thank members of the Yates laboratory and the Davis laboratory for their technical assistance, comments and discussions.
FundersFunding numbers
DOD
W81XWH-10-1-0543, PC120913
NCI
U54CA118623
UAB
-
TU
-