2026-10-14T11:39:22Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33972156 2026-09-23T09:00:04Z category_12 category_13 category_16 category_46 category_734 category_811 category_64 category_134 portal_87 item_type_3 month_year_09_2026

Identification of anoikis-related and cell matrix adhesion genes in the progression of colon adenocarcinoma using bioinformatics analysis Ting Zheng (608653) Xingxing Li (321490) Li Zhou (54356) Jianjiang Jin (22813439) Cell Biology Genetics Physiology Immunology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Cancer Virology Anoikis cell-matrix adhesion colon adenocarcinoma risk model prognosis <p>To develop an innovative prognostic model for colon adenocarcinoma (COAD), we integated anoikis- and cell matrix adhesion (CMA related mechanisms using TCGA and GEO datasets. Six genes (BST2, NAT1, OFCC1, HOTAIR, TRIP6, ADAMTS13) were identified, risk model stratified patients into high- and low risk groups with distinct survival (p=0.025), validated in GSE17536. A nomogram showed good predictive accuracy. Functional enrichment highlighted tumor-, anoikis-, and CMA-related pathways, immune infiltration correlated with prognostic signature and risk score. High-risk patients were more sensitive to afatinib, osimertinib, and navitoclax; low-risk patients to paclitaxel, docetaxel, and gemcitabine. These genes may serve as prognostic biomarkers and guide tailored COAD therapy.</p> 2026-09-23T09:00:04Z Dataset Dataset 10.6084/m9.figshare.33972156.v1 https://figshare.com/articles/dataset/Identification_of_anoikis-related_and_cell_matrix_adhesion_genes_in_the_progression_of_colon_adenocarcinoma_using_bioinformatics_analysis/33972156 CC BY 4.0