ArticleTranslational oncology2011
Expression profiling of vulvar carcinoma: clues for deranged extracellular matrix remodeling and effects on multiple signaling pathways combined with discrete patient subsets.
Article in Translational oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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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Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- Biological implications of decoding the extracellular matrix of vulva cancer.Oncology reports · 2025Review
- An Interaction Network Driven Approach for Identifying Cervical, Endometrial, Vulvar Carcinomic Biomarkers and Their Multi-targeted Inhibitory Agents from Few Widely Available Medicinal Plants.Applied biochemistry and biotechnology · 2023Article
- Transcriptome Analysis in Vulvar Squamous Cell Cancer.Cancers · 2021Article
- Metabolic rewiring is associated with HPV-specific profiles in cervical cancer cell lines.Scientific reports · 2021Article
- Cell cycle status of CD34(+) hemopoietic stem cells determines lentiviral integration in actively transcribed and development-related genes.Molecular therapy : the journal of the American Society of Gene Therapy · 2015Article
- Article
- Comparative assessment of lymph node micrometastasis in cervical, endometrial and vulvar cancer: insights on the real time qRT-PCR approach versus immunohistochemistry, employing dual molecular markers.BioMed research international · 2014Article
- Article
- Expression Profiles Reveal Involvement ofTechnology in cancer research & treatmentArticle
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The molecular mechanisms of vulvar squamous cell carcinoma (VSCC) remain obscure. To this end, we investigated systematically for the first time the expression profile of VSCC using the microarray technology, in a total of 11 snap-frozen samples, from five VSCC patients covering early and advanced stages of VSCC undergoing radical surgery and from six matched healthy controls. All experiments were performed using Affymetrix Human Genome U133A 2.0 oligonucleotide arrays, covering 22,277 probe sets. Genes were filtered and analyzed using analysis of variance, t test, fold-change calculations, and unsupervised hierarchical cluster analysis. Further processing included functional analysis and overrepresentation calculations based on Gene Ontology, Database for Annotation, Visualization, and Integrated Discovery, and Ingenuity Pathway Analysis. The molecular phenotypes of VSCC patients exhibited significant and discrete transcriptional differences from the healthy controls, whereas principal component analysis documented that this separation is mediated by a consistent set of gene expression differences. We detected 1077 genes (306 upregulated and 771 downregulated) that were differentially expressed between VSCC patients and healthy controls by at least twofold (P < .01), whereas a novel subset of patients was revealed displaying a distinct pattern of 125 upregulated genes involved in multiple cellular processes. Functional analysis of the 1077 genes documented their involvement in more than 50 signaling pathways, such as PTEN, oncostatin M, and extracellular signal-regulated kinase signaling, affecting extracellular matrix remodeling and invasion. Comparison of our data set with those of the single VIN study revealed that the two entities share a limited number of genes and display unique features.
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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.