QI XIA¹, XING CHEN², QINGHUA MA³, XIANXIU WEN^2,*

BIOCELL, Vol.48, No.2, pp. 217-228, 2024, DOI:10.32604/biocell.2023.027414

Abstract Background: Breast cancer (BC) is the most common cancer and the leading cause of cancer death in women. Immune features play an important role in improving the prognosis prediction of BC. However, while previous immune signatures consisted mainly of immune genes, immune cell-based signatures have been rarely reported. Methods: In this study, we report that a novel immune cell signature is effective in improving prognostic prediction by combining M2 macrophages. We identified 17 differentially infiltrating immune cells between cancer and normal groups. Prognostic features of the four immune cells identified by LASSO COX analysis showed good performance for survival risk… More >

JUN SHEN^1,#, HONGFANG MA^2,#, YONGXIA CHEN³, JIANGUO SHEN^1,*

Oncology Research, Vol.31, No.6, pp. 955-966, 2023, DOI:10.32604/or.2023.029638

Abstract The process of lymphatic metastasis was proved to be associated with podoplanin-expressing macrophages in breast cancer (BC). This study aimed to investigate the role of the M2 phenotype of tumor-associated macrophages and mine the key M2 macrophages-related genes for lymph node metastasis in BC. We downloaded the GSE158399 dataset from the Gene Expression Omnibus (GEO) database, which includes transcriptomic profiles of individual cells from primary tumors, negative lymph nodes (NLNs), and positive lymph nodes (PLNs) of breast cancer patients. The cell subsets were identified by clustering analysis after quality control of the scRNA-seq using Seurat. The activation and migration capability… More >

JIAFU FENG^1,2,#,*, BEI XU^1,2,#, CHUNMEI DAI^1,2,#, YAODONG WANG^1,4, GANG XIE^1,5, WENYU YANG^1,2, BIN ZHANG^1,2, XIAOHAN LI⁶, JUN WANG³

Oncology Research, Vol.29, No.5, pp. 331-349, 2021, DOI:10.32604/or.2022.03554

Abstract Due to its difficulty in early diagnosis and lack of sensitivity to chemotherapy and radiotherapy, renal cell carcinoma (RCC) remains to be a frequent cause of cancer-related death. Here, we probed into new targets for its early diagnosis and treatment for RCC. microRNA (miRNA) data of M2-EVs and RCC were searched on the Gene Expression Omnibus database, followed by the prediction of the potential downstream target. Expression of target genes was measured via RT-qPCR and Western blot, respectively. M2 macrophage was obtained via flow cytometry with M2-EVs extracted. The binding ability of miR-342-3p to NEDD4L and to CEP55 ubiquitination was… More >

DONG ZHAO, QIANG JI^*, SHIJIE ZHU, KAI ZHU, CHUNSHENG WANG^*

BIOCELL, Vol.44, No.3, pp. 315-321, 2020, DOI:10.32604/biocell.2020.09169

Abstract Except for the standard aortic valve replacement, no effective medical treatment is available to prevent or delay calcific aortic valve disease (CAVD) progression. Recently, macrophages and high-mobility group box 1 (HMGB1) are the most intriguing candidates in various inflammatory disorders. However, the association between serum HMGB1, CAVD, and macrophage polarization remains unclear. Therefore, we examined whether the level of serum HMGB1 is clinically associated with aortic valve calcification and whether HMGB1 treatment can promote macrophage differentiation toward M1 or M2 phenotype. This experimental study included 19 CAVD patients and 20 healthy controls whose serum HMGB1 levels were examined by ELISA… More >