Mitochondrial autophagy-related lncRNAs as prognostic biomarkers and therapeutic targets in gastric adenocarcinoma

Abstract Understanding the tumor microenvironment (TME) and the role of long noncoding RNAs (lncRNAs) in gastric adenocarcinoma (GA) is crucial, as these elements not only influence tumor progression but also provide opportunities for more precise prognostic assessments and tailored therapeutic inte...

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Main Authors: Rongbo Han, Jinxin Wei, Benxin Zhao, Rongchang Zhao
Format: Article
Language:English
Published: Springer 2025-03-01
Series:Discover Oncology
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Online Access:https://doi.org/10.1007/s12672-025-02042-z
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author Rongbo Han
Jinxin Wei
Benxin Zhao
Rongchang Zhao
author_facet Rongbo Han
Jinxin Wei
Benxin Zhao
Rongchang Zhao
author_sort Rongbo Han
collection DOAJ
description Abstract Understanding the tumor microenvironment (TME) and the role of long noncoding RNAs (lncRNAs) in gastric adenocarcinoma (GA) is crucial, as these elements not only influence tumor progression but also provide opportunities for more precise prognostic assessments and tailored therapeutic interventions. This study identified mitochondrial autophagy-related lncRNAs, constructed a robust prognostic risk model, and explored the relationship between immune microenvironment characteristics and therapeutic responses. The model’s performance was evaluated using ROC curves, Kaplan–Meier survival analysis, and nomograms. Our results demonstrate that the model outperforms traditional clinical factors, such as age and stage, in predicting patient outcomes. Immune cell analysis revealed distinct correlations with risk scores, and several immune checkpoint genes exhibited differential expression between risk groups. Drug sensitivity analysis suggested that low-risk patients could benefit more from ICIs, Oxaliplatin, Irinotecan, Afatinib, and Dabrafenib, while high-risk patients showed higher sensitivity to IGF1R3801, JQI, WZ4003 and NU7441. The identified lncRNA-based risk model provides a reliable prognostic tool for GA patients and highlights distinct immune microenvironment profiles that may influence treatment responses. These findings contribute to developing personalized therapeutic strategies targeting lncRNAs and the TME in GA.
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spelling doaj-art-4f1f421af3564d46b7bc2b80b17aa86f2025-08-20T02:59:57ZengSpringerDiscover Oncology2730-60112025-03-0116111510.1007/s12672-025-02042-zMitochondrial autophagy-related lncRNAs as prognostic biomarkers and therapeutic targets in gastric adenocarcinomaRongbo Han0Jinxin Wei1Benxin Zhao2Rongchang Zhao3Department of Oncology, The Fourth Affiliated Hospital of Nanjing Medical UniversityDepartment of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical UniversityDepartment of Radiotherapy, The Fourth Affiliated Hospital of Nanjing Medical UniversityDepartment of Oncology, Taixing People’s HospitalAbstract Understanding the tumor microenvironment (TME) and the role of long noncoding RNAs (lncRNAs) in gastric adenocarcinoma (GA) is crucial, as these elements not only influence tumor progression but also provide opportunities for more precise prognostic assessments and tailored therapeutic interventions. This study identified mitochondrial autophagy-related lncRNAs, constructed a robust prognostic risk model, and explored the relationship between immune microenvironment characteristics and therapeutic responses. The model’s performance was evaluated using ROC curves, Kaplan–Meier survival analysis, and nomograms. Our results demonstrate that the model outperforms traditional clinical factors, such as age and stage, in predicting patient outcomes. Immune cell analysis revealed distinct correlations with risk scores, and several immune checkpoint genes exhibited differential expression between risk groups. Drug sensitivity analysis suggested that low-risk patients could benefit more from ICIs, Oxaliplatin, Irinotecan, Afatinib, and Dabrafenib, while high-risk patients showed higher sensitivity to IGF1R3801, JQI, WZ4003 and NU7441. The identified lncRNA-based risk model provides a reliable prognostic tool for GA patients and highlights distinct immune microenvironment profiles that may influence treatment responses. These findings contribute to developing personalized therapeutic strategies targeting lncRNAs and the TME in GA.https://doi.org/10.1007/s12672-025-02042-zGastric adenocarcinomaMitophagylncRNAsPrognostic model
spellingShingle Rongbo Han
Jinxin Wei
Benxin Zhao
Rongchang Zhao
Mitochondrial autophagy-related lncRNAs as prognostic biomarkers and therapeutic targets in gastric adenocarcinoma
Discover Oncology
Gastric adenocarcinoma
Mitophagy
lncRNAs
Prognostic model
title Mitochondrial autophagy-related lncRNAs as prognostic biomarkers and therapeutic targets in gastric adenocarcinoma
title_full Mitochondrial autophagy-related lncRNAs as prognostic biomarkers and therapeutic targets in gastric adenocarcinoma
title_fullStr Mitochondrial autophagy-related lncRNAs as prognostic biomarkers and therapeutic targets in gastric adenocarcinoma
title_full_unstemmed Mitochondrial autophagy-related lncRNAs as prognostic biomarkers and therapeutic targets in gastric adenocarcinoma
title_short Mitochondrial autophagy-related lncRNAs as prognostic biomarkers and therapeutic targets in gastric adenocarcinoma
title_sort mitochondrial autophagy related lncrnas as prognostic biomarkers and therapeutic targets in gastric adenocarcinoma
topic Gastric adenocarcinoma
Mitophagy
lncRNAs
Prognostic model
url https://doi.org/10.1007/s12672-025-02042-z
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AT jinxinwei mitochondrialautophagyrelatedlncrnasasprognosticbiomarkersandtherapeutictargetsingastricadenocarcinoma
AT benxinzhao mitochondrialautophagyrelatedlncrnasasprognosticbiomarkersandtherapeutictargetsingastricadenocarcinoma
AT rongchangzhao mitochondrialautophagyrelatedlncrnasasprognosticbiomarkersandtherapeutictargetsingastricadenocarcinoma