Disulfidptosis classification of pancreatic carcinoma reveals correlation with clinical prognosis and immune profile
Abstract Background Disulfidptosis, a novel form of metabolism-related regulated cell death, is a promising intervention for cancer therapeutic intervention. Although aberrant expression of long‐chain noncoding RNAs (lncRNAs) expression has been associated with pancreatic carcinoma (PC) development,...
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BMC
2025-02-01
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| Series: | Hereditas |
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| Online Access: | https://doi.org/10.1186/s41065-025-00381-z |
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| author | Jiangmin Shi Liang Zhao Kai Wang Jieqiong Lin Jianwei Shen |
| author_facet | Jiangmin Shi Liang Zhao Kai Wang Jieqiong Lin Jianwei Shen |
| author_sort | Jiangmin Shi |
| collection | DOAJ |
| description | Abstract Background Disulfidptosis, a novel form of metabolism-related regulated cell death, is a promising intervention for cancer therapeutic intervention. Although aberrant expression of long‐chain noncoding RNAs (lncRNAs) expression has been associated with pancreatic carcinoma (PC) development, the biological properties and prognostic potential of disulfidptosis-related lncRNAs (DRLs) remain unclear. Methods We obtained RNA-seq data, clinical data, and genomic mutations of PC from the TCGA database, and then determined DRLs. We developed a risk score model and analyzed the role of risk score in the predictive ability, immune cell infiltration, immunotherapy response, and drug sensitivity. Results We finally established a prognostic model including three DRLs (AP005233.2, FAM83A-AS1, and TRAF3IP2-AS1). According to Kaplan–Meier curve analysis, the survival time of patients in the low-risk group was significantly longer than that in the high-risk group. Based on enrichment analysis, significant associations between metabolic processes and differentially expressed genes were assessed in two risk groups. In addition, we observed significant differences in the tumor immune microenvironment landscape. Tumor Immune Dysfunction and Rejection (TIDE) analysis showed no statistically significant likelihood of immune evasion in both risk groups. Patients exhibiting both high risk and high tumor mutation burden (TMB) had the poorest survival times, while those falling into the low risk and low TMB categories showed the best prognosis. Moreover, the risk group identified by the 3-DRLs profile showed significant drug sensitivity. Conclusions Our proposed 3-DRLs-based feature could serve as a promising tool for predicting the prognosis, immune landscape, and treatment response of PC patients, thus facilitating optimal clinical decision-making. |
| format | Article |
| id | doaj-art-41e281ab731a46a7b39cb79cefbae4b6 |
| institution | OA Journals |
| issn | 1601-5223 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | Hereditas |
| spelling | doaj-art-41e281ab731a46a7b39cb79cefbae4b62025-08-20T02:15:16ZengBMCHereditas1601-52232025-02-01162111710.1186/s41065-025-00381-zDisulfidptosis classification of pancreatic carcinoma reveals correlation with clinical prognosis and immune profileJiangmin Shi0Liang Zhao1Kai Wang2Jieqiong Lin3Jianwei Shen4Department of Gastroenterology, Ningbo Medical Center Lihuili Hospital (Lihuili Hospital Affiliated to, Ningbo University)Department of Gastroenterology, Ningbo Medical Center Lihuili Hospital (Lihuili Hospital Affiliated to, Ningbo University)Department of Gastroenterology, Ningbo Medical Center Lihuili Hospital (Lihuili Hospital Affiliated to, Ningbo University)Department of Gastroenterology, Ningbo Medical Center Lihuili Hospital (Lihuili Hospital Affiliated to, Ningbo University)Department of Gastroenterology, Ningbo Medical Center Lihuili Hospital (Lihuili Hospital Affiliated to, Ningbo University)Abstract Background Disulfidptosis, a novel form of metabolism-related regulated cell death, is a promising intervention for cancer therapeutic intervention. Although aberrant expression of long‐chain noncoding RNAs (lncRNAs) expression has been associated with pancreatic carcinoma (PC) development, the biological properties and prognostic potential of disulfidptosis-related lncRNAs (DRLs) remain unclear. Methods We obtained RNA-seq data, clinical data, and genomic mutations of PC from the TCGA database, and then determined DRLs. We developed a risk score model and analyzed the role of risk score in the predictive ability, immune cell infiltration, immunotherapy response, and drug sensitivity. Results We finally established a prognostic model including three DRLs (AP005233.2, FAM83A-AS1, and TRAF3IP2-AS1). According to Kaplan–Meier curve analysis, the survival time of patients in the low-risk group was significantly longer than that in the high-risk group. Based on enrichment analysis, significant associations between metabolic processes and differentially expressed genes were assessed in two risk groups. In addition, we observed significant differences in the tumor immune microenvironment landscape. Tumor Immune Dysfunction and Rejection (TIDE) analysis showed no statistically significant likelihood of immune evasion in both risk groups. Patients exhibiting both high risk and high tumor mutation burden (TMB) had the poorest survival times, while those falling into the low risk and low TMB categories showed the best prognosis. Moreover, the risk group identified by the 3-DRLs profile showed significant drug sensitivity. Conclusions Our proposed 3-DRLs-based feature could serve as a promising tool for predicting the prognosis, immune landscape, and treatment response of PC patients, thus facilitating optimal clinical decision-making.https://doi.org/10.1186/s41065-025-00381-zDisulfidptosisLong noncoding RNA (lncRNA)Pancreatic carcinomaPrognostic signatureImmune microenvironmentDrug sensitivity |
| spellingShingle | Jiangmin Shi Liang Zhao Kai Wang Jieqiong Lin Jianwei Shen Disulfidptosis classification of pancreatic carcinoma reveals correlation with clinical prognosis and immune profile Hereditas Disulfidptosis Long noncoding RNA (lncRNA) Pancreatic carcinoma Prognostic signature Immune microenvironment Drug sensitivity |
| title | Disulfidptosis classification of pancreatic carcinoma reveals correlation with clinical prognosis and immune profile |
| title_full | Disulfidptosis classification of pancreatic carcinoma reveals correlation with clinical prognosis and immune profile |
| title_fullStr | Disulfidptosis classification of pancreatic carcinoma reveals correlation with clinical prognosis and immune profile |
| title_full_unstemmed | Disulfidptosis classification of pancreatic carcinoma reveals correlation with clinical prognosis and immune profile |
| title_short | Disulfidptosis classification of pancreatic carcinoma reveals correlation with clinical prognosis and immune profile |
| title_sort | disulfidptosis classification of pancreatic carcinoma reveals correlation with clinical prognosis and immune profile |
| topic | Disulfidptosis Long noncoding RNA (lncRNA) Pancreatic carcinoma Prognostic signature Immune microenvironment Drug sensitivity |
| url | https://doi.org/10.1186/s41065-025-00381-z |
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