ArticleOncoTargets and therapy2019
Weighted Gene Co-Expression Network Analysis Identified Cancer Cell Proliferation as a Common Phenomenon During Perineural Invasion.
Article in OncoTargets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Genetic Variants of Interleukin-8 and Interleukin-16 and Their Association with Cervical Cancer Risk.Life (Basel, Switzerland) · 2025Article
- Perineural Invasion in Cervical Cancer: A Hidden Trail for Metastasis.Diagnostics (Basel, Switzerland) · 2024Review
- The prognostic impact of the immune microenvironment in small-cell neuroendocrine carcinoma of the uterine cervix: PD-L1 and immune cell subtypes.Cancer cell international · 2022Article
- CT-Based Radiomics Analysis for Noninvasive Prediction of Perineural Invasion of Perihilar Cholangiocarcinoma.Frontiers in oncology · 2022Article
- Schwann Cells in the Tumor Microenvironment: Need More Attention.Journal of oncology · 2022Review
- The Landscape of Genetic Alterations Stratified Prognosis in Oriental Pancreatic Cancer Patients.Frontiers in oncology · 2021Article
- Schwann Cell-Derived CCL2 Promotes the Perineural Invasion of Cervical Cancer.Frontiers in oncology · 2020Article
- Neural invasion: a scenic trail for the nervous tumor and hidden therapeutic opportunity.American journal of cancer research · 2020Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposePerineural invasion (PNI) is the neoplastic invasion of nerves by cancer cells, a process that may prove to be another metastatic route besides direct invasion, lymphatic spread, and vascular dissemination. Given the increasing incidence and association with poor prognosis, revealing the pathogenesis of perineural invasion is of great importance. MATERIALS AND
methodsFour datasets related to PNI were downloaded from the Gene Expression Omnibus database and used to construct weighted gene co-expression network analysis (WGCNA). The intersection of potential pathways obtained from further correlation and enrichment analyses of different datasets was validated by the coculture model of Schwann cells (SCs), flow cytometry and immunohistochemistry (IHC).
resultsGSE7055 and GSE86544 datasets were brought into the analysis for there were some significant modules related to PNI, while GSE103479 and GSE102238 datasets were excluded for insignificant differences. In total, 13,841 genes from GSE86544 and 10,809 genes from GSE7055 were used for WGCNA. As a consequence, 19 and 26 modules were generated, respectively. The purple module of GSE86544 and the dark gray module of GSE7055 were positively correlated with perineural invasion. Further correlation and enrichment analyses of genes from the two modules suggested that these genes were mainly enriched in cell cycle processes; especially, the terms S/G2/M phase were enriched. Three kinds of cells grew vigorously after coculture with SCs ex vivo. The Ki67 staining of the cervical cancer samples revealed that the Ki67 index of cancer cells surrounding nerves was higher than of those distant ones.
conclusionOur work has identified cancer cell proliferation as a common response to neural cancerous microenvironments, proving a foundation for cancer cell colonization and metastasis.
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