Journal: Cancer Immunology Research
Article Title: Antitumor CD4 + T Helper 1 Cells Target and Control the Outgrowth of Disseminated Cancer Cells
doi: 10.1158/2326-6066.CIR-24-0630
Figure Lengend Snippet: Gene expression status of DCCs, primary tumors, and metastatic tumors. A, Immunofluorescence staining for HER2 + CYT8/18 + Ki-67 + DCCs detection in the BM. Scale bars, 100 μm. B, Schematic showing the methods for DCCs isolation from the BM of BALB-neuT mice. C, Percentage of EpCAM + DCCs isolated from the BM of BALB-neuT mice as determined by flow cytometry (isolated from the BM pool of 10 BALB-neuT mice). D, Cumulative representation of differentially expressed cancer stemness, EMT, and cell-cycle genes in DCCs of BALB-neuT mice, early lesion tumor cells from BALB-neuT mice (EL), and metastatic TUBO cells analyzed by RNA sequencing ( n = 2/group). Cumulative Z -score denotes average score of genes in the respective panels. E, Schematic depicting the methods for DCCs isolation from the BM aspirates of patients with HER2 + breast cancer (BC). F, Cytopathologic confirmation of isolated DCCs from the BM of patients with HER2 + BC by Diff-Quik staining. Scale bars, 100 μm. G, Immunofluorescence staining for HER2 + CYT8/18 + DCCs detection in the BM of patients with HER2 + BC. Scale bars, 100 μm. H, Percentage of Pan-cytokeratin + (Pan-CYT + ) DCCs isolated from the BM of a patient with HER2 + BC analyzed by flow cytometry. I, Bright-field image of in vitro cultured DCCs of patients with BC. Scale bars, 500 μm. J, Cumulative representation (average Z -score of genes) of differentially expressed cancer stemness, EMT, and cell-cycle genes in DCCs of patients with HER2 + BC, JIMT-1, BT474, and HCC1954 cells analyzed by RNA sequencing ( n = 3/group). All data are presented as mean ± SEM. P values were assessed by one-way ANOVA with Tukey multiple comparisons test. SSC-A, side scatter area.
Article Snippet: The human breast cancer cell lines BT474 (Cat. No. HTB20) and HCC1954 (Cat. No. CRL-2338) were purchased from ATCC in 2018.
Techniques: Gene Expression, Immunofluorescence, Staining, Isolation, Flow Cytometry, RNA Sequencing, Diff-Quik, In Vitro, Cell Culture