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Research Article

Matched Analysis of Detailed Peripheral Blood and Tumor Immune Microenvironment Profiles in Bladder Cancer

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Pages 41-56 | Received 13 Oct 2023, Accepted 11 Dec 2023, Published online: 15 Jan 2024

Figures & data

Figure 1. Data processing and cell distribution in tumor microenvironment and peripheral blood.

(A) Data processing schematic. DNA was extracted from tumor tissues and matched blood samples of 88 bladder cancer patients. After serial preprocessing steps, DNA methylation profiles were applied to estimate cell-type proportions in (B) tumor tissues and (C) blood using HiTIMED and FlowSorted.Blood.EPIC methods respectively.

NLR: Neutrophil-to-lymphocyte ratio.

Figure 1. Data processing and cell distribution in tumor microenvironment and peripheral blood. (A) Data processing schematic. DNA was extracted from tumor tissues and matched blood samples of 88 bladder cancer patients. After serial preprocessing steps, DNA methylation profiles were applied to estimate cell-type proportions in (B) tumor tissues and (C) blood using HiTIMED and FlowSorted.Blood.EPIC methods respectively.NLR: Neutrophil-to-lymphocyte ratio.

Table 1. Characteristics of the study subjects.

Figure 2. Cell profiles of tumor microenvironment in non-muscle-invasive and muscle-invasive bladder cancer patients.

Differences in cell-type proportions between NMIBC and MIBC patients were evaluated using the Wilcoxon rank sum test.

MIBC: Muscle-invasive bladder cancer; NMIBC: Non-muscle-invasive bladder cancer.

Figure 2. Cell profiles of tumor microenvironment in non-muscle-invasive and muscle-invasive bladder cancer patients.Differences in cell-type proportions between NMIBC and MIBC patients were evaluated using the Wilcoxon rank sum test.MIBC: Muscle-invasive bladder cancer; NMIBC: Non-muscle-invasive bladder cancer.
Figure 3. Tumor and blood cell profiles distribution of two groups assigned by the proportion of antitumor immune infiltration.

The high immune infiltration group (High) consisted of the 50 patients who had the sum of B, CD8 T, CD4 T, natural killer and dendritic cell proportions >5% in the tumor microenvironment. The low immune infiltration group (Low) consisted of the 38 patients who had the sum of B, CD8 T, CD4 T, natural killer and dendritic cell proportions ≤5% in the tumor microenvironment. Differences in cell-type proportions between two groups were evaluated using the Wilcoxon rank sum test.

Figure 3. Tumor and blood cell profiles distribution of two groups assigned by the proportion of antitumor immune infiltration.The high immune infiltration group (High) consisted of the 50 patients who had the sum of B, CD8 T, CD4 T, natural killer and dendritic cell proportions >5% in the tumor microenvironment. The low immune infiltration group (Low) consisted of the 38 patients who had the sum of B, CD8 T, CD4 T, natural killer and dendritic cell proportions ≤5% in the tumor microenvironment. Differences in cell-type proportions between two groups were evaluated using the Wilcoxon rank sum test.
Figure 4. Tumor and blood cell profiles distribution of two groups assigned by consensus clustering algorithm using tumor immune profiles as input.

Group 1 and group 2 consisted of 43 and 45 patients, respectively. Differences in cell-type proportions between two groups were evaluated using the Wilcoxon rank sum test.

Figure 4. Tumor and blood cell profiles distribution of two groups assigned by consensus clustering algorithm using tumor immune profiles as input.Group 1 and group 2 consisted of 43 and 45 patients, respectively. Differences in cell-type proportions between two groups were evaluated using the Wilcoxon rank sum test.

Table 2. The distribution of subject characteristics within groups derived from consensus clustering.

Supplemental material

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Data sharing statement

Datasets generated and analyzed in the present study are publicly available in Gene Expression Omnibus (GEO) at GSE237100.