ReviewPhysiological genomics2014
Bioinformatic approaches to augment study of epithelial-to-mesenchymal transition in lung cancer.
Review in Physiological genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
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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
16 citing papers in PubMed, 27 citations in OpenAlex.
- Isorhapontigenin (ISO) inhibits malignant cell transformation, migration, and invasion through MEG3/NEDD9 signaling in Cr(VI)-transformed cells.Toxicology and applied pharmacology · 2023Article
- Stationed or Relocating: The Seesawing EMT/MET Determinants from Embryonic Development to Cancer Metastasis.Biomedicines · 2021Review
- mTOR/EGFR/iNOS/MAP2K1/FGFR/TGFB1 Are Druggable Candidates for N-(2,4-Difluorophenyl)-2',4'-Difluoro-4-Hydroxybiphenyl-3-Carboxamide (NSC765598), With Consequent Anticancer Implications.Frontiers in oncology · 2021Article
- Article
- The FOXA1 transcriptional network coordinates key functions of primary human airway epithelial cells.American journal of physiology. Lung cellular and molecular physiology · 2020Article
- Modulation of retinoid signaling: therapeutic opportunities in organ fibrosis and repair.Pharmacology & therapeutics · 2020Review
- Circulating tumor cell and cell-free RNA capture and expression analysis identify platelet-associated genes in metastatic lung cancer.BMC cancer · 2019Article
- Vitamin A Deficiency and the Lung.Nutrients · 2018Review
- NEDD9 promotes oncogenic signaling, a stem/mesenchymal gene signature, and aggressive ovarian cancer growth in mice.Oncogene · 2018Article
- Prognostic significance of the epithelial-mesenchymal transition factor zinc finger E-box-binding homeobox 2 in esophageal squamous cell carcinoma.Oncology letters · 2017Article
- p-Hydroxylcinnamaldehyde induces the differentiation of oesophageal carcinoma cells via the cAMP-RhoA-MAPK signalling pathway.Scientific reports · 2016Article
- Anti-Müllerian Hormone Signaling Regulates Epithelial Plasticity and Chemoresistance in Lung Cancer.Cell reports · 2016Article
- Musashi-2 (MSI2) supports TGF-β signaling and inhibits claudins to promote non-small cell lung cancer (NSCLC) metastasis.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Homeostatic Signaling by Cell-Cell Junctions and Its Dysregulation during Cancer Progression.Journal of clinical medicine · 2016Review
- Rac1 overexpression is correlated with epithelial mesenchymal transition and predicts poor prognosis in non-small cell lung cancer.Journal of Cancer · 2016Article
- Adaptors for disorders of the brain? The cancer signaling proteins NEDD9, CASS4, and PTK2B in Alzheimer's disease.Oncoscience · 2014Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Bioinformatic approaches are intended to provide systems level insight into the complex biological processes that underlie serious diseases such as cancer. In this review we describe current bioinformatic resources, and illustrate how they have been used to study a clinically important example: epithelial-to-mesenchymal transition (EMT) in lung cancer. Lung cancer is the leading cause of cancer-related deaths and is often diagnosed at advanced stages, leading to limited therapeutic success. While EMT is essential during development and wound healing, pathological reactivation of this program by cancer cells contributes to metastasis and drug resistance, both major causes of death from lung cancer. Challenges of studying EMT include its transient nature, its molecular and phenotypic heterogeneity, and the complicated networks of rewired signaling cascades. Given the biology of lung cancer and the role of EMT, it is critical to better align the two in order to advance the impact of precision oncology. This task relies heavily on the application of bioinformatic resources. Besides summarizing recent work in this area, we use four EMT-associated genes, TGF-β (TGFB1), NEDD9/HEF1, β-catenin (CTNNB1) and E-cadherin (CDH1), as exemplars to demonstrate the current capacities and limitations of probing bioinformatic resources to inform hypothesis-driven studies with therapeutic goals.
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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 OpenQuestion graph.