ESR1 mutant breast cancers show elevated basal cytokeratins and immune activation
Li, Z.; Wu, Y.; Bahreini, A.; Priedigkeit, N. M.; Ding, K.; Sartorius, C. A.; Miller, L.; Rosenzweig, M.; Wagle, N.; Richer, J. K.; Muller, W. J.; Buluwela, L.; Ali, S.; Fang, Y.; Zhu, L.; Tseng, G. C.; Gertz, J.; Atkinson, J. M.; LEE, A. V.; Oesterreich, S.
Show abstract
Estrogen receptor alpha (ER/ESR1) is mutated in 30-40% of endocrine resistant ER-positive (ER+) breast cancer. ESR1 mutations cause ligand-independent growth and increased metastasis in vivo and in vitro. Despite the distinct clinical features and changes in therapeutic response associated with ESR1 mutations, there are no data about their potential role in intrinsic subtype switching. Applying four luminal and basal gene set pairs, ESR1 mutant cell models and clinical samples showed a significant enrichment of basal subtype markers. Among them, the six basal cytokeratins (BCKs) were the most enriched genes. Induction of BCKs was independent of ER binding and instead associated with chromatin reprogramming centered around a progesterone receptor-orchestrated topological associated domain at the KRT14/16/17 genomic region. Unexpectedly, high BCK expression in ER+ primary breast cancer is associated with good prognosis, and these tumors show enriched activation of a number of immune pathways, a distinctive feature shared with ESR1 mutant tumors. S100A8 and S100A9 were among the most highly induced immune mediators shared between high-BCKs ER+ and ESR1 mutant tumors, and single-cell RNA-seq analysis inferred their involvement in paracrine crosstalk between epithelial and stromal cells. Collectively, these observations demonstrate that ESR1 mutant tumors gain basal features with induction of basal cytokeratins via epigenetic mechanisms in rare subpopulation of cells. This is associated with increased immune activation, encouraging additional studies of immune therapeutic vulnerabilities in ESR1 mutant tumors.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A recurrent pathogenic BRCA2 truncating variant reveals a role for BRCA2-PCAF complex in modulating NF-κB-driven transcription 97%
- Multiplexed RNA-FISH-guided Laser Capture Microdissection RNA Sequencing Improves Breast Cancer Molecular Subtyping, Prognostic Classification, and Predicts Response to Antibody Drug Conjugates 96%
- Mismatch repair deficiency predicts response to HER2 blockade in HER2-negative breast cancer 96%
Similar papers in this journal
Similar papers in this journal
- Evolution of chromosome arm aberrations in breast cancer through genetic network rewiring 98%
- Genome-wide identification and analysis of prognostic features in human cancers 95%
- Distinct mutational processes shape selection of MHC class I and class II mutations across primary and metastatic tumors 95%
Similar papers in this journal
- Acquired mutations and transcriptional remodeling in long-term estrogen-deprived locoregional breast cancer recurrences 97%
- Integrative multi-omic sequencing reveals the MMTV-Myc mouse model mimics human breast cancer heterogeneity 97%
- Towards resolution of the intron retention paradox in breast cancer 96%
Similar papers in this journal
- Mapping the breast tumor microenvironment: proximity analysis reveals spatial relationships between macrophage subtypes and metastasis-initiating cancer cells 95%
- EWS::FLI1-DHX9 interaction promotes Ewing sarcoma sensitivity to DNA topoisomerase 1 poisons by altering R-loop metabolism 94%
- Inhibition of the YAP-MMB interaction and targeting NEK2 as potential therapeutic strategies for YAP-driven cancers 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.