Fig. 8: In vivo antitumor effects in patient-derived tumor xenograft (PDX) model. | Nature Communications

Fig. 8: In vivo antitumor effects in patient-derived tumor xenograft (PDX) model.

From: MOFs-based nanoagent enables dual mitochondrial damage in synergistic antitumor therapy via oxidative stress and calcium overload

Fig. 8

a Schematic illustration of procedure for evaluating antitumor activity in liver-cancer-PDX model. Note that mice in the groups with the involvement of light irradiation underwent treatment of irradiation (980 nm, 1.0 W/cm2, 5 min) twice, at 8 h and 32 h, respectively, after a single intravenous administration. b The analysis of the expression of folate receptor in human hepatoma cells sourced from PDX tumor by using flow cytometry. c In vivo fluorescence imaging of biodistribution of MUP and FMUP in tumor-bearing mice 8 h after injection and the corresponding quantitative analysis for various tumors. The color gradient represents the range from the minimum mean fluorescence intensity (1400) to the maximum fluorescence intensity (4200). d Frozen section staining images of tumors in the group of MUP and FMUP. Red: Cy 5-lablled MOFs; Blue: nuclei. e Fluorescence imaging of tumor pH in the group of MUP and FMUP using SNARF®-1. The color gradient represents the range from the minimum mean fluorescence intensity (560) to the maximum fluorescence intensity (1830). f Two-photon fluorescence imaging of tumor pH in the group of FMUP and FMUP-L using SNARF®-1. g The quantitative analysis of ROS in tumors in the group of FMUP and FMUP-L via flow cytometry using DCFH-DA as the probe. h Frozen section staining imaging of tumors for evaluating the calcium influx after different treatments using Fluo-3 as the probe. i Immunohistochemical staining images and further quantitative analysis of UCP 2 in tumor tissue for indicating the mitochondrial damage. j Tumor growth curves of different treatments over 25 days. k Survival curves of tumor-bearing mice in the group of PBS and FMUP-L. l Representative cell proliferation analysis of tumor tissue by Ki 67 method. Data in (c), (j), and (k) were represented as mean values ± SD, n = 3 biologically independent samples in (c), n = 6 biologically independent samples in (j, k). A representative image of three biologically independent samples from each group is shown in (bi, l). P value was calculated by the two-tailed Student’s t test in (c, j). P value was calculated by the Log-rank test in (k).

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