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September 5, 2025Frontiers in OncologyOpen Access

Integration of single-cell and bulk RNA sequencing to identify unique tumor stem cells and construct novel prognostic markers for assessing ESCA prognosis and drug sensitivity

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Authors

JSJia ShiDQD. QiaoQLQian Lv

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Overview

Integration of single-cell RNA sequencing and bulk RNA sequencing reveals unique tumor stem cells, suggesting novel prognostic markers for esophageal cancer.

Key Points

  • The TSCMS model identifies 18 tumor stemness-related genes, indicating significant prognostic potential.
  • High-risk patients exhibited reduced immune scores and elevated tumor purity, suggesting altered tumor microenvironments.
  • Analysis utilized both single-cell RNA sequencing and bulk RNA sequencing to assess gene signatures of cancer stem cells.
  • TSPO expression correlates with stemness scores, indicating its relevance as a therapeutic target in esophageal cancer.

Cite This Study

Shi et al. (2025) studied this question.

synapsesocial.com/papers/68c23887b210217d6477792chttps://doi.org/10.3389/fonc.2025.1649877
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Also Consider

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  1. 1Integrative single-cell and bulk transcriptomic analysis reveals the landscape of T cell mitotic catastrophe associated genes in esophageal squamous cell carcinoma2025
  2. 2Integrated single-cell and bulk RNA-seq analysis reveals prognostic stemness genes in leiomyosarcoma2025
  3. 3Employing cancer driver genes for the identification of immunological features in two esophageal cancer subtypes to facilitate immunotherapy2025
  4. 4A nine-gene signature with potential targets for predicting the prognosis of patients with esophageal cancer2025
  5. 5475. COMPREHENSIVE GENOMIC AND TRANSCRIPTOMIC ANALYSES REVEAL PROGNOSTIC STRATIFICATION FOR ESOPHAGEAL SQUAMOUS CELL CARCINOMA2025