ReviewFrontiers in oncology2021
Therapeutically Targeting Cancers That Overexpress FOXC1: A Transcriptional Driver of Cell Plasticity, Partial EMT, and Cancer Metastasis.
Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 26 citations in OpenAlex.
- FOXC1 Expression Predicts Capecitabine Efficacy in Patients with Triple-Negative Breast Cancer from the GEICAM_CIBOMA Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Trial
- FOXC1 Regulates Cytokine Signaling, Inflammatory Pathways, and Retinoid Metabolism to Maintain Limbal Epithelial Cell Homeostasis In Vitro.International journal of molecular sciences · 2026Article
- Association of metabotropic glutamate receptor 7 gene with nicotine dependence in a Chinese Han population: A cross-sectional candidate-gene association study.Tobacco induced diseases · 2026Article
- Subtyping and risk model construction based on taurine metabolism-related genes for predicting prognosis and immune response in lung adenocarcinoma.Open medicine (Warsaw, Poland) · 2026Article
- Cepharanthine inhibits the proliferation and epithelial-mesenchymal transition of oral squamous cell carcinoma via HMGA2/FOXL2 axis.BMC pharmacology & toxicology · 2025Article
- Multiplex Spatial Proteomic Analysis of HER2-Positive Breast Tumors Reveals Unique Molecular and Immunologic Features Associated With Treatment Response.JCO precision oncology · 2025Article
- Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets.Cancer cell · 2025Article
- Article
- FOXC1-mediated serine metabolism reprogramming enhances colorectal cancer growth and 5-FU resistance under serine restriction.Cell communication and signaling : CCS · 2025Article
- Article
- Manipulating the EphB4-ephrinB2 axis to reduce metastasis in HNSCC.bioRxiv : the preprint server for biology · 2024Article
- Exploring MiR-484 Regulation byBiomedicines · 2024Article
- Cancer cell plasticity, stem cell factors, and therapy resistance: how are they linked?Cancer metastasis reviews · 2024Review
- USP10 promotes pancreatic ductal adenocarcinoma progression by attenuating FOXC1 protein degradation to activate the WNT signaling pathway.International journal of biological sciences · 2024Article
- Reversible transitions between noradrenergic and mesenchymal tumor identities define cell plasticity in neuroblastoma.Nature communications · 2023Article
- Article
- Understanding the Roles of the Hedgehog Signaling Pathway during T-Cell Lymphopoiesis and in T-Cell Acute Lymphoblastic Leukemia (T-ALL).International journal of molecular sciences · 2023Review
- Triple-negative breast cancer: from none to multiple therapeutic targets in two decades.Frontiers in oncology · 2023Review
- Review
- Mesenchymal stem cells derived from patients with premature aging syndromes display hallmarks of physiological aging.Life science alliance · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metastasis accounts for more than 90% of cancer related mortality, thus the most pressing need in the field of oncology today is the ability to accurately predict future onset of metastatic disease, ideally at the time of initial diagnosis. As opposed to current practice, what would be desirable is that prognostic, biomarker-based detection of metastatic propensity and heightened risk of cancer recurrence be performed long before overt metastasis has set in. Without such timely information it will be impossible to formulate a rational therapeutic treatment plan to favorably alter the trajectory of disease progression. In order to help inform rational selection of targeted therapeutics, any recurrence/metastasis risk prediction strategy must occur with the paired identification of novel prognostic biomarkers and their underlying molecular regulatory mechanisms that help drive cancer recurrence/metastasis (i.e. recurrence biomarkers). Traditional clinical factors alone (such as TNM staging criteria) are no longer adequately prognostic for this purpose in the current molecular era. FOXC1 is a pivotal transcription factor that has been functionally implicated to drive cancer metastasis and has been demonstrated to be an independent predictor of heightened metastatic risk, at the time of initial diagnosis. In this review, we present our viewpoints on the master regulatory role that FOXC1 plays in mediating cancer stem cell traits that include cellular plasticity, partial EMT, treatment resistance, cancer invasion and cancer migration during cancer progression and metastasis. We also highlight potential therapeutic strategies to target cancers that are, or have evolved to become, "transcriptionally addicted" to FOXC1. The potential role of FOXC1 expression status in predicting the efficacy of these identified therapeutic approaches merits evaluation in clinical trials.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.