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Tumor Discovery Pyroptosis-related genes in breast cancer progression

A

B C

Figure 4. Differential genes related to pyroptosis are used for tumor classification. (A) Heatmap depicting the two clusters grouped by the differential genes.
(B) Kaplan-Meier overall survival (OS) curves for the two different clusters. (C) The consensus clustering matrix (k = 2) was used to separate 654 patients
with breast cancer into two different groups.
multivariate Cox regression analysis showed that the risk “limma” package, and false discovery rate < 0.05 and |
score for the patients with BC in the TCGA cohort was also log2FC | ≥ 1 were applied. The TCGA cohort yielded a
an independent prognostic predictor after correcting for total of 100 different genes between the low- and high-
other confounding factors (HR = 4.353, CI: 2.638 − 7.183, risk categories. Among these, in the high-risk group,
Figure 6B). To further analyze the connections between 88 genes were down-regulated, and the remaining 12
clinicopathologic features and risk groups, a heatmap was genes were up-regulated. On this basis, GO and KEGG
constructed for the TCGA cohort, which revealed that the analyses were performed (P < 0.05). The results of the
age, survival status, and gender of the patients were diversely GO analysis (Figure 7) showed that the differential genes
distributed across the two subgroups (P < 0.01, Figure 6C). were primarily correlated with the leukocyte cell-cell
adhesion and cell chemotaxis in the biological process, the
3.5. Functional analyses based on the risk model plasma membrane’s outer layer in the cellular component,
To investigate the variations in gene functions and and antigen binding in the molecular function. The
pathways amongst the subgroups separated by the risk KEGG pathway is mainly involved in cytokine-cytokine
model, the differential genes were extracted using the receptor interactions, human T-cell leukemia virus 1

Volume 3 Issue 3 (2024) 7 doi: 10.36922/td.3469