| Autor: |
Fang Meng, Jiaru Hu, Jinhu Qiang, Qifeng Shi, Jing Ji, Zhenyu Li, Lu Li, Lei Lv, Shiqiang Zhang |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Precision Medical Sciences, Vol 13, Iss 2, Pp 107-117 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2642-2514 |
| DOI: |
10.1002/prm2.12130 |
| Popis: |
Abstract Esophageal cancer (EC) mainly includes two histological subtypes, esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma, which is of high morbidity and mortality. With the continuous development of medical technology, the treatment of EC has been greatly improved, but its prognosis is still unfavorable. Recent single‐cell RNA‐sequencing (scRNA‐seq) is expected to bring breakthroughs in the treatment of EC. First, we identified T cell marker genes and generated signature by analyzing scRNA‐seq data from Expression Omnibus (GEO) database and TCGA database. Then, an immune prognostic model was constructed using the least absolute shrinkage and selection operator. We found that the survival rate of ESCC varied significantly among the low‐ and high‐risk groups. Two genes from T cell signature, DCPS and CYB5R3, were expressed in ESCC cells. Collectively, our study proposed a novel prognostic signature for ESCC patients based on T cell marker genes. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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