ArticleCancer gene therapy2026
Construction of the cancer cell continuum reveals hybrid EMT state driving lung adenocarcinoma aggression.
Article in Cancer gene therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Adaptive epithelial-mesenchymal bi-directional transition: A key invasive plasticity for tumor metastasis.iScience · 2026Review
- A multi-omics integration of bulk and single-cell transcriptomics identifies and validates a 16-gene epithelial-mesenchymal transition prognostic signature in tongue squamous cell carcinoma.Translational cancer research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The epithelial-to-mesenchymal transition (EMT) is a pivotal cellular process integral to metastasis. Emerging evidence indicates that EMT progresses through a continuum of cellular states, yet the intricate regulatory mechanisms underpinning this transition are not fully elucidated. This study aims to reconstruct the EMT spectrum in lung adenocarcinoma (LUAD) by integrating single-cell RNA sequencing data with advanced cell trajectory inference techniques. We identified five distinct EMT states across 16,310 malignant epithelial cells derived from 10 LUAD patients, encompassing epithelial, mesenchymal, and hybrid epithelial/mesenchymal (E/M) phenotypes. Notably, the hybrid E/M states exhibited the highest metastatic potential and were correlated with a poorer prognosis for patients. By modeling the EMT regulatory network, we evaluated the influence of transcription factor (TF) activation on network stability during cellular state transitions. We identified critical TFs, including TCF7, FOXA1, FOXA2, and SMAD7, which collectively regulate pathways such as TGF-β through both intrinsic EMT-related signaling and the modulation of tumor-associated macrophages. Furthermore, we developed a risk stratification model based on EMT continuum signatures, providing a novel tool for prognostic assessment. Our findings contribute to a comprehensive understanding of EMT-driven tumor evolution and open new avenues for prognostic stratification and targeted therapies in LUAD.
Indexed as
Identifiers
41290994What Socratic 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 Socratic graph.