TY - JOUR
T1 - Genomic and proteomic profiling of GATA3 mutant metastatic hormone receptor-positive breast cancer and impact on clinical outcomes
AU - Medford, Arielle J.
AU - Velimirovic, Marko
AU - Gefen, Yifat
AU - Niemierko, Andrzej
AU - Gerratana, Lorenzo
AU - Davis, Andrew A.
AU - Clifton, Katherine
AU - Keenan, Jennifer
AU - Podany, Emily
AU - Hensing, Whitney L.
AU - Reduzzi, Carolina
AU - Dai, Charles S.
AU - Kiedrowski, Lesli A.
AU - Spring, Laura M.
AU - Ellisen, Leif W.
AU - Doebele, Robert C.
AU - Cristofanilli, Massimo
AU - Getz, Gad
AU - Bardia, Aditya
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025
Y1 - 2025
N2 - Purpose: GATA3 mutations are among the most common alterations in hormone receptor-positive (HR+) breast cancer (BC), yet these have no targeted therapies. MDM2 is an E3 ubiquitin ligase that targets p53 for degradation, and pre-clinical data suggests MDM2 inhibition may effectively treat GATA3mut HR+ BC. The GATA3 co-mutational landscape has been described only in primary BC tissue, and the mechanism of MDM2-driven efficacy is incompletely understood. Experimental design: Circulating tumor DNA (ctDNA) was assessed for GATA3 mutations via targeted sequencing. Associations with co-alterations and clinical/pathologic factors were estimated using Pearson's chi-squared test, two-sample Wilcoxon rank-sum, and multivariable logistic regression. Impact on survival was analyzed using multivariable Cox regression analysis. Tissue-based data from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) database was evaluated for expression and phosphorylation of GATA3 and associated proteins. Results: Among 609 patients with HR + /HER2− MBC, ctDNA detected non-synonymous GATA3 variants ctDNA in 69 (11%) patients, and the genomic landscape was unique from tissue-based primary BC data; GATA3mut were not mutually exclusive from TP53mut (p = 0.30) or PIK3CAmut (p = 0.52) and were associated with poorer survival on endocrine monotherapy. CPTAC analysis showed no difference in GATA3 or breast cancer-associated gene abundance, however there was increased USP48 (LogFC = 0.76, FDR = 1.7 × 10–5), which stabilizes MDM2. Conclusion: The distinct landscape in GATA3mut MBC ctDNA highlights critical information when assessing candidacy for targeted therapies. To our knowledge, this is the first ctDNA-based GATA3mut landscape analysis in MBC. Furthermore, tissue-based proteomic analysis suggests mechanisms for endocrine resistance and sensitivity to MDM2 inhibition in HR+ /HER2− GATA3mut BC.
AB - Purpose: GATA3 mutations are among the most common alterations in hormone receptor-positive (HR+) breast cancer (BC), yet these have no targeted therapies. MDM2 is an E3 ubiquitin ligase that targets p53 for degradation, and pre-clinical data suggests MDM2 inhibition may effectively treat GATA3mut HR+ BC. The GATA3 co-mutational landscape has been described only in primary BC tissue, and the mechanism of MDM2-driven efficacy is incompletely understood. Experimental design: Circulating tumor DNA (ctDNA) was assessed for GATA3 mutations via targeted sequencing. Associations with co-alterations and clinical/pathologic factors were estimated using Pearson's chi-squared test, two-sample Wilcoxon rank-sum, and multivariable logistic regression. Impact on survival was analyzed using multivariable Cox regression analysis. Tissue-based data from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) database was evaluated for expression and phosphorylation of GATA3 and associated proteins. Results: Among 609 patients with HR + /HER2− MBC, ctDNA detected non-synonymous GATA3 variants ctDNA in 69 (11%) patients, and the genomic landscape was unique from tissue-based primary BC data; GATA3mut were not mutually exclusive from TP53mut (p = 0.30) or PIK3CAmut (p = 0.52) and were associated with poorer survival on endocrine monotherapy. CPTAC analysis showed no difference in GATA3 or breast cancer-associated gene abundance, however there was increased USP48 (LogFC = 0.76, FDR = 1.7 × 10–5), which stabilizes MDM2. Conclusion: The distinct landscape in GATA3mut MBC ctDNA highlights critical information when assessing candidacy for targeted therapies. To our knowledge, this is the first ctDNA-based GATA3mut landscape analysis in MBC. Furthermore, tissue-based proteomic analysis suggests mechanisms for endocrine resistance and sensitivity to MDM2 inhibition in HR+ /HER2− GATA3mut BC.
KW - Breast cancer
KW - Circulating tumor DNA
KW - Genomics
KW - Liquid biopsy
UR - http://www.scopus.com/inward/record.url?scp=105006852340&partnerID=8YFLogxK
U2 - 10.1007/s10549-025-07710-w
DO - 10.1007/s10549-025-07710-w
M3 - Article
C2 - 40439821
AN - SCOPUS:105006852340
SN - 0167-6806
VL - 212
SP - 437
EP - 447
JO - Breast Cancer Research and Treatment
JF - Breast Cancer Research and Treatment
IS - 3
ER -