Identification of cancer stem cell-related genes through single cells and machine learning for predicting prostate cancer prognosis and immunotherapy

Bibliographic Details
Title: Identification of cancer stem cell-related genes through single cells and machine learning for predicting prostate cancer prognosis and immunotherapy
Authors: YaXuan Wang, Li Ma, Jiaxin He, HaiJuan Gu, HaiXia Zhu
Source: Frontiers in Immunology, Vol 15 (2024)
Publisher Information: Frontiers Media S.A., 2024.
Publication Year: 2024
Collection: LCC:Immunologic diseases. Allergy
Subject Terms: cancer stem cell, prostate adenocarcinoma, single cell analysis, machine learning, HSPE1, Immunologic diseases. Allergy, RC581-607
More Details: BackgroundCancer stem cells (CSCs) are a subset of cells within tumors that possess the unique ability to self-renew and give rise to diverse tumor cells. These cells are crucial in driving tumor metastasis, recurrence, and resistance to treatment. The objective of this study was to pinpoint the essential regulatory genes associated with CSCs in prostate adenocarcinoma (PRAD) and assess their potential significance in the diagnosis, prognosis, and immunotherapy of patients with PRAD.MethodThe study utilized single-cell analysis techniques to identify stem cell-related genes and evaluate their significance in relation to patient prognosis and immunotherapy in PRAD through cluster analysis. By utilizing diverse datasets and employing various machine learning methods for clustering, diagnostic models for PRAD were developed and validated. The random forest algorithm pinpointed HSPE1 as the most crucial prognostic gene among the stem cell-related genes. Furthermore, the study delved into the association between HSPE1 and immune infiltration, and employed molecular docking to investigate the relationship between HSPE1 and its associated compounds. Immunofluorescence staining analysis of 60 PRAD tissue samples confirmed the expression of HSPE1 and its correlation with patient prognosis in PRAD.ResultThis study identified 15 crucial stem cell-related genes through single-cell analysis, highlighting their importance in diagnosing, prognosticating, and potentially treating PRAD patients. HSPE1 was specifically linked to PRAD prognosis and response to immunotherapy, with experimental data supporting its upregulation in PRAD and association with poorer prognosis.ConclusionOverall, our findings underscore the significant role of stem cell-related genes in PRAD and unveil HSPE1 as a novel target related to stem cell.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1664-3224
Relation: https://www.frontiersin.org/articles/10.3389/fimmu.2024.1464698/full; https://doaj.org/toc/1664-3224
DOI: 10.3389/fimmu.2024.1464698
Access URL: https://doaj.org/article/2d5dce023756411a9d07c7b6684485d1
Accession Number: edsdoj.2d5dce023756411a9d07c7b6684485d1
Database: Directory of Open Access Journals
More Details
ISSN:16643224
DOI:10.3389/fimmu.2024.1464698
Published in:Frontiers in Immunology
Language:English