ReviewCancers2025
Exploring the Role of Epithelial-Mesenchymal Transcriptional Factors Involved in Hematological Malignancy and Solid Tumors: A Systematic Review.
Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Anti-Metastatic Role of Aspirin in Cancer: A Systematic Review.International journal of molecular sciences · 2026Pooled it
- The effect of toll like receptors in prognosis in patients undergoing radical cystectomy for bladder cancer.Molecular biology reports · 2026Article
- A guide to the types, structures, and multifaceted functions of matrix metalloproteinases in cancer.The FEBS journal · 2026Review
- PI3 K/AKT/mTOR pathway and its role in breast cancer stem cells.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Transcriptomic Comparisons of Somatic and Cancer Stem Cells.Biomedicines · 2025Review
- Review
- Serine metabolism in tumor progression and immunotherapy.Discover oncology · 2025Review
- Identification and validation of mitochondrial and programmed cell death-related prognostic markers in pediatric acute myeloid leukemia.Frontiers in immunology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe epithelial mesenchymal transition (EMT) is a biological process in which epithelial cells lose their polarity and adhesion characteristics, and adopt a mesenchymal phenotype. While the EMT naturally occurs during tissue fibrosis, wound healing, and embryonic development, it can be exploited by cancer cells and is strongly associated with cancer stem cell formation, tissue invasiveness, apoptosis, and therapy resistance. Transcription factors (TFs) such as SNAIL, ZEB, and TWIST play a pivotal role in driving the EMT. This systematic review aims to assess the impact of EMT-TFs on hematological malignancy and solid tumors.
methodsEnglish-language literature published between 2010 and 2024 was systematically reviewed, utilizing databases such as PubMed and Google Scholar.
resultsA total of 3250 studies were extracted. Of these, 92 publications meeting the inclusion criteria were analyzed to elucidate the role of EMT-TFs in cancer. The results demonstrated that the EMT-TFs play a critical role in both hematological and solid tumor development and progression. They promote invasive, migratory, and metastatic properties in these tumors, and contribute to therapeutic challenges by enhancing chemoresistance. A strong correlation between EMT-TFs and poor overall survival has been identified.
conclusionsOur research concluded that EMT-TFs may serve as important predictive and prognostic factors, as well as potential therapeutic targets to mitigate cancer progression.
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Identifiers
What OpenQuestion holds
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 OpenQuestion graph.