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ORIGINAL RESEARCH article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 15 - 2024 |
doi: 10.3389/fimmu.2024.1522327
This article is part of the Research Topic Targeting Cell Death Pathways for Enhanced Cancer Immunotherapy: Specific Involve in Necroptosis, Pyroptosis, Ferroptosis, Cuproptosis, Autophagy, Apoptosis, and ICD Research View all 4 articles
Novel Pyroptosis-immune-related lncRNA Signature Exhibits a Distinct Immune Cell Infiltration Landscape in Breast Cancer
Provisionally accepted- 1 Breast and Thyroid Surgery, Shandong Provincial Qianfoshan Hospital, Jinan, China
- 2 Breast and Thyroid Surgery, Jining First People's Hospital, Jining, Shandong, China
- 3 Physiology Teaching and Research Office, Jining Medical University, Jining, Shandong, China
- 4 Hematology Department, Jining First People's Hospital, Jining, Shandong, China
Introduction: This study investigated pyroptosis-and immunity-related long non-coding RNAs (lncRNAs) to identify promising therapeutic targets for breast cancer (BC), and constructed lncRNA signatures to determine the prognosis and immunotherapy responses of BC patients. Methods: Pearson's correlation coefficient was used to identify pyroptosis-and immune-related differentially expressed lncRNAs (DE-pyrolncRNAs and DE-ImmlncRNAs, respectively). The Cancer Genome Atlas dataset was allocated to training and testing subsets. Prognostic lncRNA signatures were derived based on the training subset using univariate Cox regression analysis and Least Absolute Shrinkage and Selection Operator methods. StepwiseCox regression was used to refine these signatures and to select the optimal lncRNA signature.The median risk score of the training subset was applied as a threshold to divide patients into high-risk (HR) and low-risk (LR) groups. The Wilcoxon test was used to reveal differences in immune scores, cell types, functions, and checkpoint genes between these groups. Single-cell sequencing data from GSE176078 were used to validate the immune cell infiltration landscape of the identified lncRNA signatures.: We identified a six-lncRNA pyroptosis-immune signature comprising MAPT.AS1, CTA.384, D8.34, RP11.561, I11.3, HID1.AS1, AC097713.3, and USP2.AS1. Patients in the 2 HR group demonstrated inferior prognoses in the training, testing, and full datasets (P=3.622e-07, P=3.736e-03, and P=1.151e-08, respectively). Immune scores were significantly enhanced in the LR group, whereas tumor purity was elevated in the HR group.Fifty-eight immune scores showed significant differences between the groups (P<0.05).Immune function (APC coinhibition, CCR, and checkpoints) more significantly impaired in the HR group. Expression levels of 38 immune checkpoint genes, including KIR2DS4, KIR3DL2, CD40LG, KIR3DL1, and PDCD1, were significantly higher in the LR group.Conversely, the TDO2, PVR, and CD276 levels were elevated in the HR group. Single-cell sequencing data from GSE176078 showed sparse T cell, B cell, myeloid, and plasmablast clusters in the HR group, whereas the LR group displayed significant clustering of B cells, myeloids, and plasmablasts.The six-lncRNA pyroptosis-immune signature effectively predicted BC prognosis and highlighted distinct immune cell infiltration patterns. This holds promise for evaluating immunotherapy responses and guiding therapeutic target identification in BC.
Keywords: pyroptosis, Immune infiltration, lncRNA, breast cancer, prognosis
Received: 04 Nov 2024; Accepted: 31 Dec 2024.
Copyright: © 2024 dedi, jv and hong. 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:
Kong dedi, Breast and Thyroid Surgery, Shandong Provincial Qianfoshan Hospital, Jinan, China
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