Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
Year : 2018  |  Volume : 14  |  Issue : 12  |  Page : 1029-1034

Determination of core pathways for oral squamous cell carcinoma via the method of attract

1 Department of Dentistry, The Fourth Hospital of Jinan, Jinan, P.R. China
2 Department of Dentistry, Weihai Stomatology Hospital, Weihai, P.R. China

Correspondence Address:
Dong Teng
Department of Dentistry, The Fourth Hospital of Jinan, No. 50 Shifan Road, Jinan 250031
P.R. China
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0973-1482.206868

Rights and Permissions

Objective: We expected to demonstrate a practical framework for oral squamous cell carcinoma (OSCC) candidate biomarker analysis at the pathway level based on the attract method, so as to give great insights to reveal the pathological mechanism underlying this disease at its early stage. Methods: First, gene expression profile of OSCC was recruited and preprocessed. Then, Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis was conducted. Next, attract method, an approach that begins its analysis from the “foundation knowledge sets” to discriminate the cell-phenotypes by those well-annotated gene-sets, then expands the syn-expression groups via decomposing each significant pathway into correlated subsets and extends the analysis to the entire expression was applied to identify core pathways. Finally, gene ontology (GO) functional enrichment analysis was performed on each of the correlated set groups to discover any potentially shared biological themes. Results: A total of 226 pathways were obtained. Then, 39 core KEGG pathways was identified via attract. After removing the uninformative genes, a total of 1, 2, and 3 clusters were separately identified for the three discriminative pathways extracellular matrix (ECM)-receptor interaction, neuroactive ligand-receptor interaction, and cell adhesion molecules (CAMs) pathway based on the correlation coefficient < 0.85. GO functional enrichment analysis for the correlated partners groups indicated that there were 40, 11, 78 significant GO terms for ECM-receptor interaction, neuroactive ligand-receptor interaction, and CAMs pathway, respectively. Conclusions: We predict that pathways such as ECM-receptor interaction, neuroactive ligand-receptor interaction, and CAMs may play significant roles in OSCC and targeting these pathways may provide an effective avenue to combat the complicated illness.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded64    
    Comments [Add]    

Recommend this journal