Journal: BMC Cancer
Article Title: A novel machine learning-based immune prognostic signature for improving clinical outcomes and guiding therapy in colorectal cancer: an integrated bioinformatics and experimental study
doi: 10.1186/s12885-025-13437-0
Figure Lengend Snippet: Functional analysis of the representative gene APCDD1 in IRPS ( A ) Comparison of the APCDD1 expression level between CRC tissues and normal control tissues based on the GEPIA2 database; ( B ) The expression level of APCDD1 in CRC lines SW620, HT29 and SW480 was detected by qRT-PCR with the normal colon epithelial cell line NCM460 as a control; ( C ) The siRNA interference efficiency of APCDD1 in HT29 cell line was detected by qRT-PCR; ( D ) CCK-8 assays were used to detect the effect of APCDD1 knockdown on HT29 cell proliferation; ( E and F ) Transwell assays were used to detect the effect of APCDD1 knockdown on HT29 cell migration ( E ) and invasion ( F ); ( G ) Apoptosis assays were used to detect the effect of APCDD1 knockdown on apoptosis of HT29 cells. * P < 0.05; ** P < 0.01; *** P < 0.001
Article Snippet: The human CRC cell lines HT29, SW480 and SW620, as well as the human normal colon mucosal epithelial cell line NCM460, were purchased from KeyGEN BioTECH Corp., Ltd (China).
Techniques: Functional Assay, Comparison, Expressing, Control, Quantitative RT-PCR, CCK-8 Assay, Knockdown, Migration