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Mini Oral session 3

3MO - Association of the research-based HER2DX signatures with survival in early-stage triple-negative breast cancer (eTNBC)

Date

05 May 2022

Session

Mini Oral session 3

Topics

Tumour Site

Breast Cancer

Presenters

Benedetta Conte

Citation

Annals of Oncology (2022) 33 (suppl_3): S123-S147. 10.1016/annonc/annonc888

Authors

B. Conte1, F. Brasó-Maristany2, T. Pascual3, F. Schettini4, J. Staaf5, L. Paré6, M. Marín-Aguilera6, O. Martínez-Sáez7, A. Rodriguez Hernandez7, M.J. Vidal Losada7, P.F. Conte8, A. Vivancos9, P. Villagrasa Gonzalez10, J. Parker11, C.M. Perou12, A. Prat7

Author affiliations

  • 1 IRCCS Ospedale Policlinico San Martino, Genova/IT
  • 2 IDIBAPS - Institut D'Investigacions Biomèdiques August Pi i Sunyer, Barcelona/ES
  • 3 Hospital Clinic of Barcelona, 8008 - Barcelona/ES
  • 4 August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona/ES
  • 5 Lund University, 223 81 - Lund/SE
  • 6 Reveal Genomics, Barcelona/ES
  • 7 Hospital Clinic of Barcelona, Barcelona/ES
  • 8 University of Padua, Padova/IT
  • 9 Vall d'Hebron University Hospital, Barcelona/ES
  • 10 Reveal Genomics / SOLTI Cancer Research Group, Barcelona / Barcelona/ES
  • 11 UNC - Lineberger Cancer Center, Chapel Hill/US
  • 12 UNC - Lineberger Comprehensive Cancer Center, 27599 - Chapel Hill/US

Resources

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Abstract 3MO

Background

The HER2DX assay is prognostic in early-stage HER2-positive breast cancer by integrating tumor and nodal staging, and the expression of 3 gene signatures tracking immunoglobulin (IGG)-mediated immunity, proliferation, and luminal differentiation. Here, we assessed the prognostic value of each of the 3 HER2DX signatures in eTNBC.

Methods

Clinical and genomic data from 704 patients with eTNBC were retrieved from METABRIC (n=267), TCGA (n=118), GSE58812 (n=107), SCANB (n=126), GSE21653 (n=86). Association of IGG signature with event-free survival (EFS) was also obtained from CALGB40603 (n=443). Univariate cox regression models were used to evaluate each of the 3 signatures with relapse-free survival (RFS), EFS and overall survival (OS). Results were pooled using a random effects model to select signatures most consistently associated with survival. A new research-based HER2DX risk score with the IGG signature, tumor size (pT1 vs other) and nodal status (pN0 vs pN1 vs pN2-3) was also evaluated. Univariate cox regression models and C-statistics were used to evaluate the prognostic value of each variable.

Results

Among the 3 signatures, the 14-gene IGG signature was associated with better RFS/OS in METABRIC, better EFS in GSE21653 and CALGB40603 and better OS in SCANB (Table). The pooled analysis confirmed the association of IGG signature with RFS/EFS (HR=0.81 [95% CI 0.70-0.93], I2=18%) and OS (HR=0.80 [0.69-0.92], I2=0%). The new research-based risk score integrating tumor size, nodal status, and IGG signature (called TNBC-DX) was significantly associated with RFS/EFS and OS in all datasets (Table). TNBC-DX risk score showed higher predictive performance compared with clinical variables alone, with a C-index ranging from 0.61 to 0.80 across datasets. Table: 3MO

IGG signature TNBC-DX risk score
Dataset RFS or EFS HR (95% CIs) OS HR (95% CIs) RFS or EFS HR (95% CIs) OS HR (95% CIs)
GSE21653 0.53 (0.35-0.82) NA 3.34 (1.82-6.13) NA
GSE58812 1.00 (0.69-1.45) 0.99 (0.67-1.46) NA NA
METABRIC 0.81 (0.66-0.99) 0.81 (0.67-0.96) 2.00 (1.52-2.62) 1.47 (1.17-1.84)
TCGA 0.86 (0.52-1.45) 0.63 (0.32-1.26) 2.58 (1.37-4.84) 3.26 (1.57-6.80)
SCANB NA 0.68 (0.47-0.98) NA 2.37 (1.38-4.10)
CALGB40603 0.82 (0.66-0.99) NA NA NA
Pooled Results 0.81 (0.70-0.93) I2=18% 0.80 (0.69-0.92) I2=0% 2.32 (1.73-3.12) I2=22% 2.05 (1.27-3.32) I2=67%

Conclusions

A risk score integrating tumor size, nodal staging and the IGG signature might be a valuable prognostic biomarker in eTNBC.

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

F. Brasó-Maristany, L. Paré: Financial Interests, Personal, Licensing Fees, HER2DX patent: Reveal Genomics. P.F. Conte: Financial Interests, Personal, Advisory Board: Daiichi Sankyo/Lilly, Reveal Genomics, Gilead Sciences; Financial Interests, Personal, Speaker’s Bureau: Roche/Genentech, AstraZeneca, Tesaro, BMS, Eli Lilly; Financial Interests, Institutional, Research Grant: Roche, Merck KGaA, Novartis, BMS; Financial Interests, Personal, Licensing Fees, HER2DX Patent: Reveal Genomics; Financial Interests, Personal, Expert Testimony: Roche, AstraZeneca; Financial Interests, Personal, Other, Travel Accomodations: AstraZeneca, Celgene, Novartis, Pfizer. A. Vivancos: Financial Interests, Personal, Stocks/Shares: Reveal Genomics. P. Villagrasa Gonzalez: Financial Interests, Personal, Stocks/Shares: Reveal Genomics; Financial Interests, Personal, Advisory Board: Reveal Genomics; Financial Interests, Personal, Licensing Fees, HER2DX patent: Reveal Genomics. J. Parker: Financial Interests, Personal, Stocks/Shares: Reveal Genomics; Financial Interests, Personal, Advisory Board: Reveal Genomics. C.M. Perou: Financial Interests, Personal, Stocks/Shares: Reveal Genomics, BioClassifier LLC; Financial Interests, Personal, Advisory Board: Reveal Genomics. A. Prat: Financial Interests, Personal, Stocks/Shares: Reveal Genomics; Financial Interests, Personal, Advisory Board: Reveal Genomics; Financial Interests, Personal, Licensing Fees, HER2DX patent: Reveal Genomics; Financial Interests, Personal and Institutional, Other, Grants and Personal Fee: Daiichi Sankyo Roche AstraZeneca Foundation Medicine Oncolytics Biotech Novartis. All other authors have declared no conflicts of interest.

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