SynthesisCell death & disease2018
Differentiation therapy and the mechanisms that terminate cancer cell proliferation without harming normal cells.
Synthesis in Cell death & disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
What it found
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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.
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Who cites it
57 citing papers in PubMed, 98 citations in OpenAlex.
- Immunomodulatory effects of biodegradable Mg-Cu-Zn alloy in esophageal cancer.Bioactive materials · 2026Article
- Periductal Fibroblast Density Defines Lymphocyte Exclusion via a CD44-Dependent Stromal Checkpoint in Pancreatic Cancer.Cancer immunology research · 2026Article
- Dysregulated NF-κB dynamics impair proteostasis and drive premature differentiation in aging B cell development.Cell press blue · 2026Article
- UHRF1 as an epigenetic therapeutic target in Cancer.Molecular biology reports · 2026Review
- Pleiotropic effects of all-trans retinoic acid in attenuating the hallmarks of colorectal cancer- challenges and scope of differentiation therapy.Cancer gene therapy · 2026Review
- Anticancer Molecular Mechanisms of Phytosterols: An Updated Review on Clinical Trials.Food science & nutrition · 2026Review
- NSD2 upregulation is driven by high-risk HPV E6/E7 and disrupts epithelial differentiation in HPV-associated head and neck cancer.Journal of experimental & clinical cancer research : CR · 2026Article
- Article
- Targeting Tumour Heterogeneity through sequential timing of anti-hallmark combination therapies -a hypothesis for implementation.Frontiers in immunology · 2026Review
- Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral squamous cell carcinoma.Journal of translational medicine · 2025Article
- Non-coding genetic variants underlying higher prostate cancer risk in men of African ancestry.Nature communications · 2025Article
- AI-Assisted Drug Re-Purposing for Human Liver Fibrosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Rapid and Effective Neuronal Conversion of Human Glioblastoma In Vitro and In Vivo Using Potent Small Molecules.Cell proliferation · 2025Article
- Inhibition of DKK-1 by WAY262611 Inhibits Osteosarcoma Metastasis.Molecular cancer therapeutics · 2025Article
- The calcium pump PMCA4b promotes epithelial cell polarization and lumen formation.Communications biology · 2025Article
- Suppression of dopamine receptor 2 inhibits the formation of human prostate cancer PC‑3‑derived cancer stem cell‑like cells through AMPK inhibition.Oncology letters · 2025Article
- Bioelectric stimulation outperforms brain derived neurotrophic factor in promoting neuronal maturation.Scientific reports · 2025Article
- Genomic discovery of EF-24 targets unveils antitumorigenic mechanisms in leukemia cells.PloS one · 2025Article
- Deciphering Key Regulatory Roles of Linear Ubiquitination in Cell Fate Determination and Disease.Research (Washington, D.C.) · 2025Review
- Mucosa-like differentiation of head and neck cancer cells is inducible and drives the epigenetic loss of cell malignancy.Cell death & disease · 2024Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
Chemotherapeutic drugs have a common intent to activate apoptosis in tumor cells. However, master regulators of apoptosis (e.g., p53, p16/CDKN2A) are frequently genetically inactivated in cancers, resulting in multidrug resistance. An alternative, p53-independent method for terminating malignant proliferation is to engage terminal-differentiation. Normally, the exponential proliferation of lineage-committed progenitors, coordinated by the master transcription factor (TF) MYC, is self-limited by forward-differentiation to terminal lineage-fates. In cancers, however, this exponential proliferation is disengaged from terminal-differentiation. The mechanisms underlying this decoupling are mostly unknown. We performed a systematic review of published literature (January 2007-June 2018) to identify gene pathways linked to differentiation-failure in three treatment-recalcitrant cancers: hepatocellular carcinoma (HCC), ovarian cancer (OVC), and pancreatic ductal adenocarcinoma (PDAC). We analyzed key gene alterations in various apoptosis, proliferation and differentiation pathways to determine whether it is possible to predict treatment outcomes and suggest novel therapies. Poorly differentiated tumors were linked to poorer survival across histologies. Our analyses suggested loss-of-function events to master TF drivers of lineage-fates and their cofactors as being linked to differentiation-failure: genomic data in TCGA and ICGC databases demonstrated frequent haploinsufficiency of lineage master TFs (e.g., GATA4/6) in poorly differentiated tumors; the coactivators that these TFs use to activate genes (e.g. ARID1A, PBRM1) were also frequently inactivated by genetic mutation and/or deletion. By contrast, corepressor components (e.g., DNMT1, EED, UHRF1, and BAZ1A/B), that oppose coactivators to repress or turn off genes, were frequently amplified instead, and the level of amplification was highest in poorly differentiated lesions. This selection by neoplastic evolution towards unbalanced activity of transcriptional corepressors suggests these enzymes as candidate targets for inhibition aiming to re-engage forward-differentiation. This notion is supported by both pre-clinical and clinical trial literature.
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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.