Development and Validation of a Prognostic Classifier Based on Lipid Metabolism-Related Genes for Breast Cancer [Corrigendum]

Abstract

Wang N, Gu Y, Li L, et al. J Inflamm Res. 2022;15:3477–3499. The authors have advised due to an error that occurred inadvertently at the time of figure assembly, the scratch test result of si-SDC1 MBA-MD-231 cells were wrongly placed in the position of the scratch test results of si-SORBS1 MCF-7 cells and therefore, figure part 8F is incorrect. The correct Figure 8 is shown below. Figure 8 Effects of SORBS1 knockdown or overexpression on BC cells’ invasion and migration. (A) Quantitative PCR analysis of SORBS1 expression levels in si-SORBS1 control, si-SORBS1, oe-SORBS1 control and oe-SORBS1 breast cancer cell lines (MCF-7 and MDA-MB-231). (B) Western blot of SORBS1 expression levels in si-SORBS1 control, si-SORBS1, oe-SORBS1 control and oe-SORBS1 breast cancer cell lines (MCF-7 and MDA-MB-231). (C) Effects of SORBS1 knockdown or overexpressed on invasion of MDA-MB-231 breast cancer cells. (D) Effects of SORBS1 knockdown or overexpressed on invasion of MCF-7 breast cancer cells. (E) Effects of SORBS1 knockdown or overexpressed on migration of MDA-MB-231 breast cancer cells showed by scratch assays. (F) Effects of SORBS1 knockdown or overexpressed on migration of MCF-7 breast cancer cells showed by scratch assays. **P < 0.01; ***P < 0.001. The authors apologize for this error and advise it does not affect the results and conclusions of the paper.

Keywords

• lipid metabolism
• breast invasive carcinoma
• brca
• prognostic classifier
• sdc1
• sorbs1