Comprehensive Analysis on Prognostic Signature Based on T Cell-Mediated Tumor Killing Related Genes in Gastric Cancer
© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature..
Although immunotherapy is a valuable treatment for gastric cancer (GC), identifying the patients who would benefit most from this approach presents a challenge. In this study, GC patients were divided into two subtypes by consensus clustering according to T cell-mediated tumor killing related genes (TTKRGs), and there were significant differences in tumor-infiltrating immune cells, signaling pathways, and gene expression of immunomodulators and inhibitory immune checkpoints between the two subtypes. Then, we developed an individualized signature based on TTKRGs, and its clinical and predictive value in GC patients for chemotherapeutic and immunotherapeutic responses was assessed. We confirmed the expression levels of signature genes in GC tumor tissue using quantitative real-time polymerase chain reaction (qRT-PCR). Additionally, to improve the accuracy of GC prognosis predictions, we established a nomogram. We further identified some compounds as sensitive drugs targeting GC risk groups. The signature showed significant predictive ability across RNA-seq, microarray, and qRT-PCR cohorts, which could assist in predicting survival, immunotherapeutic and chemotherapeutic outcomes in GC patients.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:62 |
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| Enthalten in: |
Biochemical genetics - 62(2024), 1 vom: 01. Feb., Seite 504-529 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zhai, Jiabao [VerfasserIn] |
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| Links: |
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| Themen: |
Gastric cancer |
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| Anmerkungen: |
Date Completed 01.03.2024 Date Revised 11.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1007/s10528-023-10436-3 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Although immunotherapy is a valuable treatment for gastric cancer (GC), identifying the patients who would benefit most from this approach presents a challenge. In this study, GC patients were divided into two subtypes by consensus clustering according to T cell-mediated tumor killing related genes (TTKRGs), and there were significant differences in tumor-infiltrating immune cells, signaling pathways, and gene expression of immunomodulators and inhibitory immune checkpoints between the two subtypes. Then, we developed an individualized signature based on TTKRGs, and its clinical and predictive value in GC patients for chemotherapeutic and immunotherapeutic responses was assessed. We confirmed the expression levels of signature genes in GC tumor tissue using quantitative real-time polymerase chain reaction (qRT-PCR). Additionally, to improve the accuracy of GC prognosis predictions, we established a nomogram. We further identified some compounds as sensitive drugs targeting GC risk groups. The signature showed significant predictive ability across RNA-seq, microarray, and qRT-PCR cohorts, which could assist in predicting survival, immunotherapeutic and chemotherapeutic outcomes in GC patients | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a Liu, Chang |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Tianyu |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Lishuang |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Wei |e verfasserin |4 aut | |
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| 700 | 1 | |a Han, Xu |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Haibo |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Tian, Wenjing |e verfasserin |4 aut | |
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