Identification of hypoxia-immune-related signatures for predicting immune efficacy in triple-negative breast cancer
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Date
Authors
Wang, Luping
Han, Haote
Ma, Jiahui
Feng, Yue
Han, Zhuo
Maharaj, Vinesh J.
Tian, Jingkui
Zhu, Wei
Li, Shouxin
Shao, Xiying
Journal Title
Journal ISSN
Volume Title
Publisher
De Gruyter
Abstract
OBJECTIVES: The therapeutic effect against triple-negative breast cancer (TNBC) varies among individuals. Finding signatures to predict immune efficacy is particularly urgent. Considering the connection between the microenvironment
and hypoxia, hypoxia-related signatures could be more effective. Therefore, in this study, we aimed sought to construct a hypoxia-immune-related prediction model for breast cancer and identify therapeutic targets.
METHODS: Immune and hypoxia status in the TNBC microenvironment were investigated using single-sample Gene Set Enrichment Analysis (ssGSEA) and Uniform Manifold Approximation and Projection (UMAP). The least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis were employed to build a prognostic model based on hypoxia-immunerelated differentially expressed genes. The Cancer Genome Atlas (TCGA) cohort, real-time quantitative polymerase chain reaction (qRT-PCR), and immunofluorescence staining were utilized to analyze the expression differences. Tumor immune dysfunction and exclusion indexes were used to indicate the effect of immunotherapy.
RESULTS: We identified 11 signatures related to hypoxia and immunity. Among these genes, C-X-C motif chemokine ligand (CXCL) 9, 10, and 11 were up-regulated in TNBC tissues compared to normal tissues. Furthermore, CXCL9, 10, 11, and 13 were found to enhance the effect of immunotherapy.
CONCLUSIONS: These findings suggest the value of the hypoxia-immune-related prognostic model for estimating the risk in patients with TNBC, and CXCL9, 10, 11, and 13 are potential targets to overcome immune resistance in TNBC.
Description
Keywords
Prognostic model, CXC chemokines, Hypoxia, Immune infiltration, Tumor microenvironment, SDG-03: Good health and well-being, SDG-09: Industry, innovation and infrastructure, Triple-negative breast cancer (TNBC)
Sustainable Development Goals
SDG-03:Good heatlh and well-being
SDG-09: Industry, innovation and infrastructure
SDG-09: Industry, innovation and infrastructure
Citation
Wang, L., Han, H., Ma, J. et al. 2024, 'Identification of hypoxia-immune-related signatures for predicting immune efficacy in triple-negative breast cancer', Oncologie, vol. 26, no. 3, pp. 433-444, doi : 10.1515/oncologie-2023-0539.