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

Journal: Frontiers in immunology
Published Date:

Abstract

BACKGROUND: Cancer 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.

Authors

  • Yaxuan Wang
    Department of Computer Science, Rice University, Houston, TX, USA.
  • Li Ma
    Department of Technological Research and Development, Hunan Guanmu Biotech Co., Ltd, Changsha, China.
  • Jiaxin He
    Beijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University Xinjiekouwai Street No. 19 Beijing 100875 P. R. China hhuo@bnu.edu.cn.
  • HaiJuan Gu
    Cancer Research Centre Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China.
  • HaiXia Zhu
    Cancer Research Centre Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China.