Immune microenvironment landscape and immunotherapy response evaluation of PRG molecular subtypes.

Immune microenvironment landscape and immunotherapy response evaluation of PRG molecular subtypes.

<p>(A–D) Immune infiltration status of PRG molecular subtypes assessed using the ESTIMATE algorithm. (E) Quantitative analysis of the infiltration levels of 23 immune cell types based on the ssGSEA algorithm. (F) TIDE score-based prediction of immune evasion potential. (G–I) IPS score analysis...

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Bibliographic Details
Main Author: Xiangxin Wu (22320058) (author)
Other Authors: Lianming Cai (22320061) (author), Yanping Liu (567079) (author), Bowen Wang (526637) (author), Tianyi Xia (7040726) (author), Zhenhua Liu (335797) (author)
Published: 2025
Subjects:
Biochemistry
Cell Biology
Genetics
Molecular Biology
Immunology
Cancer
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
prognostic model development
prevalent histological subtype
machine learning algorithms
including western blot
immune infiltration profiles
explore cellular heterogeneity
exhibits high heterogeneity
cell rna sequencing
related molecular subtypes
potential therapeutic targets
one key prg
offering novel biomarkers
biological pathway activation
based prognostic signature
div >< p
novel prg
therapeutic resistance
molecular landscape
biological significance
vitro </
tumor biology
transwell assays
stomach adenocarcinoma
significant differences
public databases
poor prognosis
omics analysis
gene function
gastric cancer
functional assays
findings highlight
distinct form
colony formation
associated genes
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Summary:<p>(A–D) Immune infiltration status of PRG molecular subtypes assessed using the ESTIMATE algorithm. (E) Quantitative analysis of the infiltration levels of 23 immune cell types based on the ssGSEA algorithm. (F) TIDE score-based prediction of immune evasion potential. (G–I) IPS score analysis revealing the differential response of PRG molecular subtypes to CTLA-4 and PD-1 targeted therapies.</p>

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