Abstract 7265: MBCproject: multi-omic profiling of metastatic breast cancer evolution through patient-partnered research

Abstract The Metastatic Breast Cancer project (MBCproject) is a patient-partnered research study that has collected clinical, genomic, and survey data through online enrollment. The cohort includes whole exome sequencing from 379 tumor biopsies (bxs) with matched germline from 301 patients (pts) and RNA-seq from 200 bxs (141 pts). In addition to confirming prior observations, this multi-omics cohort has enabled the discovery of novel MBC characteristics. Tumor evolutionary analysis was performed for 56 pts with multiple bxs from different timepoints and sites (115 bxs). Acquired ESR1 mutations were observed in six pts, all of whom received endocrine therapy between bxs. Mutations in TP53, GATA3, and PTEN were almost always truncal. However, mutations in PIK3CA, CDH1, and KMT2C exhibited complex clonal dynamics with gain/loss events across paired bxs, contrary to the common assumption that such mutations are truncal. For pts with distinct CDH1 mutant status across bxs, the presence of CDH1 mutations at the bx level is associated with lobular histology (ILC), and the lack of CDH1 mutations is associated with ductal histology (IDC). The cohort includes three pts with bilateral breast cancers, which we found to be phylogenetically unrelated. Only one pt harbored a pathogenic germline mutation (CHEK2). In one pt, bilateral bxs had distinct histology yet shared copy number variations (CNVs) such as 1q gain and 6q loss. In another, left and right ILCs had distinct PIK3CA and CDH1 mutations and dissimilar CNV profiles. The shared altered genes and CNVs from independent tumors in the same pt suggest convergent evolution through tumorigenesis. To further explore evolution over disease progression, we compared treatment-naive primary and treatment-exposed metastatic bxs in the full cohort. TBX3 mutations were enriched in metastatic bxs (p=0.024, FDR<0.25), driven by higher prevalence in HR+/HER2- and HER2+ subtypes, and co-occurred with CDH1 (p=0.0016) and ERBB2 oncogenic mutations (p=0.039). All MBCproject TBX3-ERBB2 mutant bxs were from pts with ILC and had CDH1 mutations. MSK IMPACT confirmed TBX3-CDH1 (p=4.4e-8) and TBX3-ERBB2 (p=6.1e-5) co-occurrence and showed TBX3-ERBB2 mutations also co-occurred in IDC bxs without CDH1 mutations (p=9.2e-4), suggesting that TBX3-ERBB2 mutations are independent of ILC and CDH1 status. TBX3-only mutant bxs had a proliferation RNA-seq signature score higher than Luminal A bxs (p=0.032 MBCproject, p=0.0047 TCGA) and more similar to that of IDC than ILC tumors. Overall, this indicates that TBX3 mutations drive distinct tumor behavior independent of histology and CDH1 alterations. The MBCproject demonstrates the power of patient-partnered research and multi-omics evolutionary analysis to uncover novel insights into metastatic breast cancer biology. Citation Format: Diana Garcia-Cortes, Esha Jain, Mary McGillicuddy, Beena S. Thomas, Dewey Kim, Sara Balch, John Navarro, Jakob H. Weiss, Tania G. Hernandez, Michael Dunphy, Brett N. Tomson, Colleen M. Nguyen, Jeremy Johnson, Parker S. Chastain, Sarah Winnicki, Elana Anastasio, Diane M. Diehl, Todd R. Golub, Corrie A. Painter, Nikhil Wagle, Daniel L. Abravanel, Jorge Gomez Tejeda Zanudo. MBCproject: multi-omic profiling of metastatic breast cancer evolution through patient-partnered research [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7265.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-7265
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 7265: MBCproject: multi-omic profiling of metastatic breast cancer evolution through patient-partnered research

Todd R. Golub, S Winnicki, Tania G. Hernandez, Parker Chastain et al.
Cancer Research
Cancer Genomics and Diagnostics
article

Abstract 7265: MBCproject: multi-omic profiling of metastatic breast cancer evolution through patient-partnered research

Todd R. Golub, S Winnicki, Tania G. Hernandez, Parker Chastain, Mary McGillicuddy, Sara Balch, Diane M. Diehl, Beena Thomas, Corrie Painter, Jeremy A. Johnson, Brett N. Tomson, Elana Anastasio, Nikhil Wagle, Diana García-Cortés, John Navarro, Dewey Kim, Michael Dunphy, Daniel L. Abravanel, Colleen M. Nguyen, Jorge Gomez Tejeda Zanudo, Jakob H. Weiss, Esha Jain
article en

Abstract

Abstract The Metastatic Breast Cancer project (MBCproject) is a patient-partnered research study that has collected clinical, genomic, and survey data through online enrollment. The cohort includes whole exome sequencing from 379 tumor biopsies (bxs) with matched germline from 301 patients (pts) and RNA-seq from 200 bxs (141 pts). In addition to confirming prior observations, this multi-omics cohort has enabled the discovery of novel MBC characteristics. Tumor evolutionary analysis was performed for 56 pts with multiple bxs from different timepoints and sites (115 bxs). Acquired ESR1 mutations were observed in six pts, all of whom received endocrine therapy between bxs. Mutations in TP53, GATA3, and PTEN were almost always truncal. However, mutations in PIK3CA, CDH1, and KMT2C exhibited complex clonal dynamics with gain/loss events across paired bxs, contrary to the common assumption that such mutations are truncal. For pts with distinct CDH1 mutant status across bxs, the presence of CDH1 mutations at the bx level is associated with lobular histology (ILC), and the lack of CDH1 mutations is associated with ductal histology (IDC). The cohort includes three pts with bilateral breast cancers, which we found to be phylogenetically unrelated. Only one pt harbored a pathogenic germline mutation (CHEK2). In one pt, bilateral bxs had distinct histology yet shared copy number variations (CNVs) such as 1q gain and 6q loss. In another, left and right ILCs had distinct PIK3CA and CDH1 mutations and dissimilar CNV profiles. The shared altered genes and CNVs from independent tumors in the same pt suggest convergent evolution through tumorigenesis. To further explore evolution over disease progression, we compared treatment-naive primary and treatment-exposed metastatic bxs in the full cohort. TBX3 mutations were enriched in metastatic bxs (p=0.024, FDR<0.25), driven by higher prevalence in HR+/HER2- and HER2+ subtypes, and co-occurred with CDH1 (p=0.0016) and ERBB2 oncogenic mutations (p=0.039). All MBCproject TBX3-ERBB2 mutant bxs were from pts with ILC and had CDH1 mutations. MSK IMPACT confirmed TBX3-CDH1 (p=4.4e-8) and TBX3-ERBB2 (p=6.1e-5) co-occurrence and showed TBX3-ERBB2 mutations also co-occurred in IDC bxs without CDH1 mutations (p=9.2e-4), suggesting that TBX3-ERBB2 mutations are independent of ILC and CDH1 status. TBX3-only mutant bxs had a proliferation RNA-seq signature score higher than Luminal A bxs (p=0.032 MBCproject, p=0.0047 TCGA) and more similar to that of IDC than ILC tumors. Overall, this indicates that TBX3 mutations drive distinct tumor behavior independent of histology and CDH1 alterations. The MBCproject demonstrates the power of patient-partnered research and multi-omics evolutionary analysis to uncover novel insights into metastatic breast cancer biology. Citation Format: Diana Garcia-Cortes, Esha Jain, Mary McGillicuddy, Beena S. Thomas, Dewey Kim, Sara Balch, John Navarro, Jakob H. Weiss, Tania G. Hernandez, Michael Dunphy, Brett N. Tomson, Colleen M. Nguyen, Jeremy Johnson, Parker S. Chastain, Sarah Winnicki, Elana Anastasio, Diane M. Diehl, Todd R. Golub, Corrie A. Painter, Nikhil Wagle, Daniel L. Abravanel, Jorge Gomez Tejeda Zanudo. MBCproject: multi-omic profiling of metastatic breast cancer evolution through patient-partnered research [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7265.

Cancer ResearchVol. 86(7_Supplement)
Broad Institute (US), Dana-Farber Cancer Institute (US)
Openalex Percentile: Top 28%
Cancer Genomics and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.