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Xu S, Zheng Y, Ye M, Shen T, Zhang D, Li Z, Lu Z. Comprehensive pan-cancer analysis reveals EPHB2 is a novel predictive biomarker for prognosis and immunotherapy response. BMC Cancer 2024; 24:1064. [PMID: 39198775 PMCID: PMC11351591 DOI: 10.1186/s12885-024-12843-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 08/22/2024] [Indexed: 09/01/2024] Open
Abstract
PURPOSE Recent studies have increasingly linked Ephrin receptor B2 (EPHB2) to cancer progression. However, comprehensive investigations into the immunological roles and prognostic significance of EPHB2 across various cancers remain lacking. METHODS We employed various databases and bioinformatics tools to investigate the impact of EPHB2 on prognosis, immune infiltration, genome instability, and response to immunotherapy. Validation of the correlation between EPHB2 expression and M2 macrophages included analyses using bulk and single-cell transcriptomic datasets, spatial transcriptomics, and multi-fluorescence staining. Moreover, we performed cMap web tool to screen for EPHB2-targeted compounds and assessed their potential through molecular docking and dynamics simulations. Additionally, in vitro validation using lung adenocarcinoma (LUAD) cell lines was conducted to confirm the bioinformatics predictions about EPHB2. RESULTS EPHB2 dysregulation was observed across multiple cancer types, where it demonstrated significant diagnostic and prognostic value. Gene Set Enrichment Analysis (GSEA) indicated that EPHB2 is involved in enhancing cellular proliferation, invasiveness of cancer cells, and modulation of the anti-cancer immune response. Furthermore, it is emerged as a pan-cancer marker for M2 macrophage infiltration, supported by integrated analyses of transcriptomics and multiple fluorescence staining. In LUAD cells, knockdown of EPHB2 expression led to a decrease in both cell proliferation and migratory activity. CONCLUSION EPHB2 expression may serve as a pivotal indicator of M2 macrophage infiltration, offering vital insights into tumor dynamics and progression across various cancers, including lung adenocarcinoma, highlighting its significant prognostic and therapeutic potential for further exploration.
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Affiliation(s)
- Shengshan Xu
- Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China.
| | - Youbin Zheng
- Department of Radiology, Jiangmen Wuyi Hospital of Traditional Chinese Medicine, Jiangmen, Guangdong, China
| | - Min Ye
- Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Tao Shen
- Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Dongxi Zhang
- Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Zumei Li
- Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China
| | - Zhuming Lu
- Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China.
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Yao S, Yao D, Huang Y, Qin S, Chen Q. A machine learning model based on clinical features and ultrasound radiomics features for pancreatic tumor classification. Front Endocrinol (Lausanne) 2024; 15:1381822. [PMID: 38957447 PMCID: PMC11218542 DOI: 10.3389/fendo.2024.1381822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 06/03/2024] [Indexed: 07/04/2024] Open
Abstract
Objective This study aimed to construct a machine learning model using clinical variables and ultrasound radiomics features for the prediction of the benign or malignant nature of pancreatic tumors. Methods 242 pancreatic tumor patients who were hospitalized at the First Affiliated Hospital of Guangxi Medical University between January 2020 and June 2023 were included in this retrospective study. The patients were randomly divided into a training cohort (n=169) and a test cohort (n=73). We collected 28 clinical features from the patients. Concurrently, 306 radiomics features were extracted from the ultrasound images of the patients' tumors. Initially, a clinical model was constructed using the logistic regression algorithm. Subsequently, radiomics models were built using SVM, random forest, XGBoost, and KNN algorithms. Finally, we combined clinical features with a new feature RAD prob calculated by applying radiomics model to construct a fusion model, and developed a nomogram based on the fusion model. Results The performance of the fusion model surpassed that of both the clinical and radiomics models. In the training cohort, the fusion model achieved an AUC of 0.978 (95% CI: 0.96-0.99) during 5-fold cross-validation and an AUC of 0.925 (95% CI: 0.86-0.98) in the test cohort. Calibration curve and decision curve analyses demonstrated that the nomogram constructed from the fusion model has high accuracy and clinical utility. Conclusion The fusion model containing clinical and ultrasound radiomics features showed excellent performance in predicting the benign or malignant nature of pancreatic tumors.
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Affiliation(s)
- Shunhan Yao
- Medical College, Guangxi University, Nanning, China
- Monash Biomedicine Discovery Institute, Monash University, Melbourne, VIC, Australia
| | - Dunwei Yao
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Department of Gastroenterology, The People’s Hospital of Baise, Baise, China
| | - Yuanxiang Huang
- School of Computer, Electronic and Information, Guangxi University, Nanning, China
| | - Shanyu Qin
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Qingfeng Chen
- School of Computer, Electronic and Information, Guangxi University, Nanning, China
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Wang Y, Li C, He J, Zhao Q, Zhou Y, Sun H, Zhu H, Ding B, Ren M. Multi-omics analysis and experimental validation of the value of monocyte-associated features in prostate cancer prognosis and immunotherapy. Front Immunol 2024; 15:1426474. [PMID: 38947325 PMCID: PMC11211272 DOI: 10.3389/fimmu.2024.1426474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 05/31/2024] [Indexed: 07/02/2024] Open
Abstract
Background Monocytes play a critical role in tumor initiation and progression, with their impact on prostate adenocarcinoma (PRAD) not yet fully understood. This study aimed to identify key monocyte-related genes and elucidate their mechanisms in PRAD. Method Utilizing the TCGA-PRAD dataset, immune cell infiltration levels were assessed using CIBERSORT, and their correlation with patient prognosis was analyzed. The WGCNA method pinpointed 14 crucial monocyte-related genes. A diagnostic model focused on monocytes was developed using a combination of machine learning algorithms, while a prognostic model was created using the LASSO algorithm, both of which were validated. Random forest and gradient boosting machine singled out CCNA2 as the most significant gene related to prognosis in monocytes, with its function further investigated through gene enrichment analysis. Mendelian randomization analysis of the association of HLA-DR high-expressing monocytes with PRAD. Molecular docking was employed to assess the binding affinity of CCNA2 with targeted drugs for PRAD, and experimental validation confirmed the expression and prognostic value of CCNA2 in PRAD. Result Based on the identification of 14 monocyte-related genes by WGCNA, we developed a diagnostic model for PRAD using a combination of multiple machine learning algorithms. Additionally, we constructed a prognostic model using the LASSO algorithm, both of which demonstrated excellent predictive capabilities. Analysis with random forest and gradient boosting machine algorithms further supported the potential prognostic value of CCNA2 in PRAD. Gene enrichment analysis revealed the association of CCNA2 with the regulation of cell cycle and cellular senescence in PRAD. Mendelian randomization analysis confirmed that monocytes expressing high levels of HLA-DR may promote PRAD. Molecular docking results suggested a strong affinity of CCNA2 for drugs targeting PRAD. Furthermore, immunohistochemistry experiments validated the upregulation of CCNA2 expression in PRAD and its correlation with patient prognosis. Conclusion Our findings offer new insights into monocyte heterogeneity and its role in PRAD. Furthermore, CCNA2 holds potential as a novel targeted drug for PRAD.
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Affiliation(s)
- YaXuan Wang
- Department of Urology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chao Li
- Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich, Germany
| | - JiaXing He
- Department of Urology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - QingYun Zhao
- Department of Urology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yu Zhou
- Department of Urology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - HaoDong Sun
- Department of Urology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - HaiXia Zhu
- Clinical Laboratory, Tumor Hospital Affiliated to Nantong University, Nantong, China
| | - BeiChen Ding
- Department of Urology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - MingHua Ren
- Department of Urology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
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Jiang H, Li B, Wu M, Wang Q, Li Y. Association of the Advanced Lung Cancer Inflammation Index (ALI) and Gustave Roussy Immune (GRIm) score with immune checkpoint inhibitor efficacy in patients with gastrointestinal and lung cancer. BMC Cancer 2024; 24:428. [PMID: 38589844 PMCID: PMC11000368 DOI: 10.1186/s12885-024-12149-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 03/20/2024] [Indexed: 04/10/2024] Open
Abstract
OBJECTIVE This study aimed to conduct a comprehensive analysis, evaluating the prognostic significance of the baseline Advanced Lung Cancer Inflammation Index (ALI) and Gustave Roussy Immune (GRIm) Score in patients undergoing immune checkpoint inhibitor (ICI) therapy. METHODS A comprehensive search was performed across various databases, including PubMed, the Cochrane Library, EMBASE, and Google Scholar, until October 21, 2023, to compile relevant articles for analysis. The investigation encompassed diverse clinical outcomes, including overall survival (OS) and progression-free survival (PFS). RESULTS This analysis included a total of 15 articles, comprising 19 studies involving 3335 patients. Among the 19 studies, nine studies focused on NSCLC, and six studies were conducted on HCC. Pooled results revealed that patients with elevated ALI levels experienced prolonged OS (HR: 0.51, 95% CI: 0.37-0.70, p < 0.001) and extended PFS (HR: 0.61, 95% CI: 0.52-0.72, p < 0.001). Furthermore, a GRIm score > 1 was associated with reduced OS (HR: 2.07, 95% CI: 1.47-2.92, p < 0.001) and diminished PFS (HR: 1.78, 95% CI: 1.35-2.34, p < 0.001) in cancer patients receiving ICIs. Subgroup analysis indicated that ALI cutoff values of 18 exhibited enhanced predictive potential. Additionally, for HCC patients, those with HCC-GRIm score > 2 showed a substantially decreased risk of mortality compared to individuals with HCC-GRIm score ≤ 2 (HR: 2.63, 95% CI: 1.89-3.65, p < 0.001). CONCLUSION The ALI and GRIm score served as dependable prognostic indicators for patients undergoing ICI therapy in the context of cancer treatment.
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Affiliation(s)
- Hao Jiang
- Department of General Surgery, Taizhou Central Hospital (Taizhou University, Hospital), Taizhou, China
| | - Borui Li
- Department of Urologic Surgery, Cancer Hospital of China Medical University (Liaoning Cancer Hospital & Institute), Shenyang, China
| | - Min Wu
- Department of Oncology, The Third People's Hospital of Honghe Prefecture, Gejiu, China
| | - Qimei Wang
- Hunan Academy of Traditional Chinese Medicine, Changsha, China.
| | - Yijin Li
- Department of Colorectal and Anorectal Surgery, Hunan Hospital of Integrated Tradmonal Chinese and Western Medicine (Hunan Academy of Traditional Chinese Medicine Affiliated Hospital), Changsha, China.
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Fei M, Lu C, Feng B, Sun J, Wang J, Sun F, Dong B. Bioinformatics analyses and experimental validation of the role of phagocytosis in low-grade glioma. ENVIRONMENTAL TOXICOLOGY 2024; 39:2182-2196. [PMID: 38112449 DOI: 10.1002/tox.24095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/29/2023] [Accepted: 12/03/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Phagocytosis is of vital importance in tumor immune response. The alteration of phagocytosis in low-grade glioma (LGG) has not been investigated. METHODS The mRNA, copy number variation, single nucleotide variation, and methylation levels of phagocytosis-related genes were summarized in pan-cancer. Non-negative matrix factorization clustering was utilized to identify two LGG subtypes. LASSO regression analysis was performed to construct a phagocytosis-related prognostic signature (PRPS). Immune characteristics, immunotherapy response, and targeted-drug sensitivity were further explored. The phagocytosis activity in glioma was evaluated using scRNA-seq data. Multiplex immunohistochemical (m-IHC) technology was performed to identify the tumor-infiltrating immune cells in LGG. RESULTS The phagocytosis-related genes altered obviously in pan-cancer compared with corresponding normal tissues. Two LGG subtypes were obtained and the subtype with poor prognosis was combined with lower tumor purity, more active immune-related pathways, increasing infiltration of CD4+ T cells, CD8+ T cells, and natural killer (NK) cells, decreasing infiltration of macrophages, mast cells, and neutrophils, distinct pathway activity and cell death status, greater response to immunotherapy, and higher sensitivity to cyclophosphamide, erlotinib, gefitinib, lapatinib, and sorafenib. In addition, a PRPS involving 10 genes (i.e., SLC11A1, CAMK1D, PLA2G5, STAP1, ALOX15, PLCG2, SFTPD, AZU1, RAB27A, and LAMTOR2) was constructed to estimate the risk level of each LGG sample and high risk LGG patients had poor prognosis, upregulated infiltration of neutrophil, macrophage, Treg, and myeloid dendritic cell, down regulated infiltration of monocyte and NK cell, and increasing expression of large number of immune checkpoint genes. The phagocytosis activity is notably active in monocyte/macrophage. The m-IHC results confirmed increased infiltration of macrophages and neutrophils in LGG samples with high SLC11A1 expression. CONCLUSION The molecular characteristics of phagocytosis were revealed and the PRPS laid the foundation for personalized therapy in LGG.
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Affiliation(s)
- Mingyang Fei
- Department of Neurosurgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Chunlin Lu
- Department of Neurosurgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Baozhi Feng
- Department of Neurosurgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Jiaao Sun
- Department of Urology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Jie Wang
- Department of Neurosurgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Fei Sun
- Department of Neurosurgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Department of Neurosurgery, Xinhua Hospital Affiliated to Dalian University, Dalian, Liaoning, China
| | - Bin Dong
- Department of Neurosurgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
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Liu P, Xing N, Xiahou Z, Yan J, Lin Z, Zhang J. Unraveling the intricacies of glioblastoma progression and recurrence: insights into the role of NFYB and oxidative phosphorylation at the single-cell level. Front Immunol 2024; 15:1368685. [PMID: 38510250 PMCID: PMC10950940 DOI: 10.3389/fimmu.2024.1368685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 02/19/2024] [Indexed: 03/22/2024] Open
Abstract
Background Glioblastoma (GBM), with its high recurrence and mortality rates, makes it the deadliest neurological malignancy. Oxidative phosphorylation is a highly active cellular pathway in GBM, and NFYB is a tumor-associated transcription factor. Both are related to mitochondrial function, but studies on their relationship with GBM at the single-cell level are still scarce. Methods We re-analyzed the single-cell profiles of GBM from patients with different subtypes by single-cell transcriptomic analysis and further subdivided the large population of Glioma cells into different subpopulations, explored the interrelationships and active pathways among cell stages and clinical subtypes of the populations, and investigated the relationship between the transcription factor NFYB of the key subpopulations and GBM, searching for the prognostic genes of GBM related to NFYB, and verified by experiments. Results Glioma cells and their C5 subpopulation had the highest percentage of G2M staging and rGBM, which we hypothesized might be related to the higher dividing and proliferating ability of both Glioma and C5 subpopulations. Oxidative phosphorylation pathway activity is elevated in both the Glioma and C5 subgroup, and NFYB is a key transcription factor for the C5 subgroup, suggesting its possible involvement in GBM proliferation and recurrence, and its close association with mitochondrial function. We also identified 13 prognostic genes associated with NFYB, of which MEM60 may cause GBM patients to have a poor prognosis by promoting GBM proliferation and drug resistance. Knockdown of the NFYB was found to contribute to the inhibition of proliferation, invasion, and migration of GBM cells. Conclusion These findings help to elucidate the key mechanisms of mitochondrial function in GBM progression and recurrence, and to establish a new prognostic model and therapeutic target based on NFYB.
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Affiliation(s)
- Pulin Liu
- Shandong University of Traditional Chinese Medicine, Jinan, China
- Shanxi Key Laboratory of Chinese Medicine Encephalopathy, Shanxi University of Chinese Medicine, Jinzhong, China
- National International Joint Research Center of Molecular Traditional Chinese Medicine, Shanxi University of Chinese Medicine, Jinzhong, China
| | - Naifei Xing
- Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Zhikai Xiahou
- China Institute of Sport and Health Science, Beijing Sport University, Beijing, China
| | - Jingwei Yan
- Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Zhiheng Lin
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Junlong Zhang
- Shandong University of Traditional Chinese Medicine, Jinan, China
- Shanxi Key Laboratory of Chinese Medicine Encephalopathy, Shanxi University of Chinese Medicine, Jinzhong, China
- National International Joint Research Center of Molecular Traditional Chinese Medicine, Shanxi University of Chinese Medicine, Jinzhong, China
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Liu J, Zhang B, Zhang G, Shang D. Reprogramming of regulatory T cells in inflammatory tumor microenvironment: can it become immunotherapy turning point? Front Immunol 2024; 15:1345838. [PMID: 38449875 PMCID: PMC10915070 DOI: 10.3389/fimmu.2024.1345838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 01/29/2024] [Indexed: 03/08/2024] Open
Abstract
Overcoming the immunosuppressive tumor microenvironment and identifying widely used immunosuppressants with minimal side effects are two major challenges currently hampering cancer immunotherapy. Regulatory T cells (Tregs) are present in almost all cancer tissues and play an important role in preserving autoimmune tolerance and tissue homeostasis. The tumor inflammatory microenvironment causes the reprogramming of Tregs, resulting in the conversion of Tregs to immunosuppressive phenotypes. This process ultimately facilitates tumor immune escape or tumor progression. However, current systemic Treg depletion therapies may lead to severe autoimmune toxicity. Therefore, it is crucial to understand the mechanism of Treg reprogramming and develop immunotherapies that selectively target Tregs within tumors. This article provides a comprehensive review of the potential mechanisms involved in Treg cell reprogramming and explores the application of Treg cell immunotherapy. The interference with reprogramming pathways has shown promise in reducing the number of tumor-associated Tregs or impairing their function during immunotherapy, thereby improving anti-tumor immune responses. Furthermore, a deeper understanding of the mechanisms that drive Treg cell reprogramming could reveal new molecular targets for future treatments.
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Affiliation(s)
- Jinming Liu
- Department of General Surgery, Clinical Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Biao Zhang
- Department of General Surgery, Clinical Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Guolin Zhang
- Department of Cardiology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Dong Shang
- Department of General Surgery, Clinical Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
- Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China
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Zhang Q, Lin B, Chen H, Ye Y, Huang Y, Chen Z, Li J. Lipid metabolism-related gene expression in the immune microenvironment predicts prognostic outcomes in renal cell carcinoma. Front Immunol 2023; 14:1324205. [PMID: 38090559 PMCID: PMC10712371 DOI: 10.3389/fimmu.2023.1324205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 11/15/2023] [Indexed: 12/18/2023] Open
Abstract
Background Rates of renal cell carcinoma (RCC) occurrence and mortality are steadily rising. In an effort to address this issue, the present bioinformatics study was developed with the goal of identifying major lipid metabolism biomarkers and immune infiltration characteristics associated with RCC cases. Methods The Cancer Genome Atlas (TCGA) and E-MTAB-1980 were used to obtain matched clinical and RNA expression data from patients diagnosed with RCC. A LASSO algorithm and multivariate Cox regression analyses were employed to design a prognostic risk model for these patients. The tumor immune microenvironment (TIME) in RCC patients was further interrogated through ESTIMATE, TIMER, and single-cell gene set enrichment analysis (ssGSEA) analyses. Gene Ontology (GO), KEGG, and GSEA enrichment approaches were further employed to gauge the mechanistic basis for the observed results. Differences in gene expression and associated functional changes were then validated through appropriate molecular biology assays. Results Through the approach detailed above, a risk model based on 8 genes associated with RCC patient overall survival and lipid metabolism was ultimately identified that was capable of aiding in the diagnosis of this cancer type. Poorer prognostic outcomes in the analyzed RCC patients were associated with higher immune scores, lower levels of tumor purity, greater immune cell infiltration, and higher relative immune status. In GO and KEGG enrichment analyses, genes that were differentially expressed between risk groups were primarily related to the immune response and substance metabolism. GSEA analyses additionally revealed that the most enriched factors in the high-risk group included the stable internal environment, peroxisomes, and fatty acid metabolism. Subsequent experimental validation in vitro and in vivo revealed that the most significantly differentially expressed gene identified herein, ALOX5, was capable of suppressing RCC tumor cell proliferation, invasivity, and migration. Conclusion In summary, a risk model was successfully established that was significantly related to RCC patient prognosis and TIME composition, offering a robust foundation for the development of novel targeted therapeutic agents and individualized treatment regimens. In both immunoassays and functional analyses, dysregulated lipid metabolism was associated with aberrant immunological activity and the reprogramming of fatty acid metabolic activity, contributing to poorer outcomes.
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Affiliation(s)
- Qian Zhang
- Department of Rehabilitation Medicine, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Bingbiao Lin
- Department of Urology, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Department of Radiotherapy, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Huikun Chen
- Department of Urology, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yinyan Ye
- Department of Rehabilitation Medicine, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yijie Huang
- Department of Rehabilitation Medicine, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zhen Chen
- Department of Rehabilitation Medicine, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jun Li
- Department of Urology, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
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Shi T, Li M, Yu Y. Machine learning-enhanced insights into sphingolipid-based prognostication: revealing the immunological landscape and predictive proficiency for immunomotherapy and chemotherapy responses in pancreatic carcinoma. Front Mol Biosci 2023; 10:1284623. [PMID: 38028544 PMCID: PMC10643633 DOI: 10.3389/fmolb.2023.1284623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 10/17/2023] [Indexed: 12/01/2023] Open
Abstract
Background: With a poor prognosis for affected individuals, pancreatic adenocarcinoma (PAAD) is known as a complicated and diverse illness. Immunocytes have become essential elements in the development of PAAD. Notably, sphingolipid metabolism has a dual function in the development of tumors and the invasion of the immune system. Despite these implications, research on the predictive ability of sphingolipid variables for PAAD prognosis is strikingly lacking, and it is yet unclear how they can affect PAAD immunotherapy and targeted pharmacotherapy. Methods: The investigation process included SPG detection while also being pertinent to the prognosis for PAAD. Both the analytical capability of CIBERSORT and the prognostic capability of the pRRophetic R package were used to evaluate the immunological environments of the various HCC subtypes. In addition, CCK-8 experiments on PAAD cell lines were carried out to confirm the accuracy of drug sensitivity estimates. The results of these trials, which also evaluated cell survival and migratory patterns, confirmed the usefulness of sphingolipid-associated genes (SPGs). Results: As a result of this thorough investigation, 32 SPGs were identified, each of which had a measurable influence on the dynamics of overall survival. This collection of genes served as the conceptual framework for the development of a prognostic model, which was carefully assembled from 10 chosen genes. It should be noted that this grouping of patients into cohorts with high and low risk was a sign of different immune profiles and therapy responses. The increased abundance of SPGs was identified as a possible sign of inadequate responses to immune-based treatment approaches. The careful CCK-8 testing carried out on PAAD cell lines was of the highest importance for providing clear confirmation of drug sensitivity estimates. Conclusion: The significance of Sphingolipid metabolism in the complex web of PAAD development is brought home by this study. The novel risk model, built on the complexity of sphingolipid-associated genes, advances our understanding of PAAD and offers doctors a powerful tool for developing personalised treatment plans that are specifically suited to the unique characteristics of each patient.
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Affiliation(s)
| | | | - Yabin Yu
- Department of Hepatobiliary Surgery, The Affiliated Huaian No 1 People’s Hospital of Nanjing Medical University, Huaian, China
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