ArticleDisease models & mechanisms2018
Tumor xenograft modeling identifies an association between TCF4 loss and breast cancer chemoresistance.
Article in Disease models & mechanisms, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Super-enhancer-driven TCF4 orchestrates neuroblastoma metastasis by sphingolipid-dependent membrane remodeling and ITGB1-FAK activation.Neuro-oncology · 2026Article
- Unveiling heterogeneity and prognostic markers in ductal breast cancer through single-cell RNA-seq.Cancer cell international · 2024Article
- Protein stabilization of ITF2 by NF-κB prevents colitis-associated cancer development.Nature communications · 2023Article
- Biomarker potential of the LEF1/TCF family members in breast cancer: Bioinformatic investigation on expression and clinical significance.Genetics and molecular biology · 2023Article
- Functional and genomic characterization of patient-derived xenograft model to study the adaptation to mTORC1 inhibitor in clear cell renal cell carcinoma.Cancer medicine · 2021Article
- Article
- A Novel Role for the Tumor Suppressor GeneCancers · 2020Article
- Review
- SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast Cancer.Frontiers in genetics · 2019Article
Corrections and comments
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Authors and funding
22 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the mechanisms of cancer therapeutic resistance is fundamental to improving cancer care. There is clear benefit from chemotherapy in different breast cancer settings; however, knowledge of the mutations and genes that mediate resistance is incomplete. In this study, by modeling chemoresistance in patient-derived xenografts (PDXs), we show that adaptation to therapy is genetically complex and identify that loss of transcription factor 4 (TCF4; also known as ITF2) is associated with this process. A triple-negative
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Registered trials
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