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ORIGINAL RESEARCH article
Front. Pharmacol.
Sec. Experimental Pharmacology and Drug Discovery
Volume 16 - 2025 | doi: 10.3389/fphar.2025.1551325
This article is part of the Research Topic Promising Photosensitive Agents for Photodynamic Therapy View all 12 articles
PDP1 related ferroptosis risk signature indicates distinct immune microenvironment and prognosis of breast cancer patients
Provisionally accepted- 1 First Hospital of Lanzhou University, Lanzhou, China
- 2 Department of Science and Education Section, Gansu Provincial Cancer Hospital, Lanzhou, Gansu Province, China
- 3 Department of Breast Surgical Oncology, Gansu Provincial Cancer Hospital, Lanzhou, Gansu Province, China
- 4 Department of Breast Medical Oncology, Gansu Provincial Cancer Hospital, Lanzhou, Gansu Province, China
Objective: We aim to construct a RiskScore model to aid the early prognosis of breast cancer (BC).Methods: BC mRNA expression profiles were obtained from TCGA and GEO databases. Differential gene expression analysis identified PDP1-ferroptosis-related genes. LASSO Cox regression was utilized to screen genes to build a RiskScore model, and survival analysis were performed to investigate the reliability in BC prognosis. Immune cell infiltration proportions were calculated using CIBERSORT and xCell algorithms. Single-cell data processing and analysis were conducted using “Seurat”, “monocle”, and “iTALK” packages. PDP1 was silenced to validate its influence on the target genes.Results: Data from public databases revealed significant upregulation of PDP1 in BC samples compared to normal tissues. A RiskScore model based on PDP1-related differential ferroptosis-related genes (FRGs) ACSL1, BNIP3, and EMC2 was developed, which effectively predicted BC patient prognosis. High-risk BC samples exhibited poorer overall survival and were associated with immune microenvironment. The model remained significant in multivariate Cox regression analysis, indicating that it could independently predict the survival of BC patients. ACSL1, BNIP3, and EMC2 were downregulated after knockdown of PDP1. Conclusion: RiskScore model constructed by PDP1-ferroptosis-related genes ACSL1, BNIP3, and EMC2 is able to help predict the prognosis of BC patients.
Keywords: breast cancer, LASSO-Cox regression analysis, prognosis, pDP1, ACSL1, BNIP3, EMC2
Received: 25 Dec 2024; Accepted: 17 Feb 2025.
Copyright: © 2025 Dang, Zhu, Gao, Tian and Tian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Huifen Dang, First Hospital of Lanzhou University, Lanzhou, China
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