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Roozitalab G, Abedi B, Imani S, Farghadani R, Jabbarzadeh Kaboli P. Comprehensive assessment of TECENTRIQ® and OPDIVO®: analyzing immunotherapy indications withdrawn in triple-negative breast cancer and hepatocellular carcinoma. Cancer Metastasis Rev 2024; 43:889-918. [PMID: 38409546 DOI: 10.1007/s10555-024-10174-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 02/05/2024] [Indexed: 02/28/2024]
Abstract
Atezolizumab (TECENTRIQ®) and nivolumab (OPDIVO®) are both immunotherapeutic indications targeting programmed cell death 1 ligand 1 (PD-L1) and programmed cell death 1 (PD-1), respectively. These inhibitors hold promise as therapies for triple-negative breast cancer (TNBC) and hepatocellular carcinoma (HCC) and have demonstrated encouraging results in reducing the progression and spread of tumors. However, due to their adverse effects and low response rates, the US Food and Drug Administration (FDA) has withdrawn the approval of atezolizumab in TNBC and nivolumab in HCC treatment. The withdrawals of atezolizumab and nivolumab have raised concerns regarding their effectiveness and the ability to predict treatment responses. Therefore, the current study aims to investigate the immunotherapy withdrawal of PD-1/PD-L1 inhibitors, specifically atezolizumab for TNBC and nivolumab for HCC. This study will examine both the structural and clinical aspects. This review provides detailed insights into the structure of the PD-1 receptor and its ligands, the interactions between PD-1 and PD-L1, and their interactions with the withdrawn antibodies (atezolizumab and nivolumab) as well as PD-1 and PD-L1 modifications. In addition, this review further assesses these antibodies in the context of TNBC and HCC. It seeks to elucidate the factors that contribute to diverse responses to PD-1/PD-L1 therapy in different types of cancer and propose approaches for predicting responses, mitigating the potential risks linked to therapy withdrawals, and optimizing patient outcomes. By better understanding the mechanisms underlying responses to PD-1/PD-L1 therapy and developing strategies to predict these responses, it is possible to create more efficient treatments for TNBC and HCC.
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Affiliation(s)
- Ghazaal Roozitalab
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Behnaz Abedi
- Department of Basic Sciences, Faculty of Veterinary Medicine, University of Tabriz, Tabriz, Iran
| | - Saber Imani
- Shulan International Medical College, Zhejiang Shuren University, Hangzhou, Zhejiang, People's Republic of China
| | - Reyhaneh Farghadani
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500, Subang Jaya, Selangor Darul Ehsan, Malaysia.
| | - Parham Jabbarzadeh Kaboli
- Graduate Institute of Biomedical Sciences, Institute of Biochemistry and Molecular Biology, Research Center for Cancer Biology, Cancer Biology and Precision Therapeutics Center, and Center for Molecular Medicine, China Medical University, Taichung, 406, Taiwan.
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2
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Lu L, Feng H, Dai G, Liu S, Feng Y, Tan H, Zhang X, Hong G, Lai X. A novel cancer-associated fibroblast signature for kidney renal clear cell carcinoma via integrated analysis of single-cell and bulk RNA-sequencing. Discov Oncol 2024; 15:309. [PMID: 39060620 PMCID: PMC11282037 DOI: 10.1007/s12672-024-01175-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024] Open
Abstract
Cancer-associated fibroblasts (CAFs), integral components of the tumor microenvironment, play a pivotal role in tumor proliferation, metastasis, and clinical outcomes. However, its specific roles in Kidney Renal Clear Cell Carcinoma (KIRC) remain poorly understood. Employing the established Seurat single-cell analysis pipeline, we identified 21 CAFs marker genes. Subsequently, a prognostic signature consisting of 6 CAFs marker genes (RGS5, PGF, TPM2, GJA4, SEPT4, and PLXDC1) was developed in a cohort through univariate and LASSO Cox regression analyses. The model's efficacy was then validated in an external cohort, with a remarkable predictive performance in 1-, 3-, and 5-year. Patients in the high-risk group exhibited significantly inferior survival outcomes (p < 0.001), and the risk score was an independent prognostic factor (p < 0.05). Distinct differences in immune cell profiles and drug susceptibility were observed between the two risk groups. In KIRC, the PGF-VEGFR1 signaling pathway displayed a notable increase. PGF expression was significantly elevated in tumor tissues, as demonstrated by quantitative real-time polymerase chain reaction. In vitro, transwell assays and CCK8 revealed that recombinant-PGF could enhance the capability of cell proliferation, migration, and invasion in 769P and 786-O cells. This study firstly developed a novel predictive model based on 6 CAFs genes for KIRC. Additionally, PGF may present a potential therapeutic target to enhance KIRC treatment.
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Affiliation(s)
- Ling Lu
- Department of Renal Rheumatology Immunology, School of Medicine, Chongqing University Jiangjin Hospital, Chongqing University, Chongqing, China
| | - Huaguo Feng
- Department of Hepatobiliary Surgery, School of Medicine, Chongqing University Jiangjin Hospital, Chongqing University, Chongqing, China
| | - Guohua Dai
- Department of Hepatobiliary Surgery, School of Medicine, Chongqing University Jiangjin Hospital, Chongqing University, Chongqing, China
| | - Shuangquan Liu
- Department of Hepatobiliary Surgery, School of Medicine, Chongqing University Jiangjin Hospital, Chongqing University, Chongqing, China
| | - Yi Feng
- Department of Hepatobiliary Surgery, Jiangjin District Maternal and Child Health Hospital, Chongqing, China
| | - Haoyang Tan
- Department of Hepatobiliary Surgery, School of Medicine, Chongqing University Jiangjin Hospital, Chongqing University, Chongqing, China
| | - Xian Zhang
- Department of Hepatobiliary Surgery, Tongnan District People's Hospital, No. 189, Jianshe Road, Dafo Street, Tongnan District, Chongqing, China
| | - Guoqing Hong
- Department of Hepatobiliary Surgery, Tongnan District People's Hospital, No. 189, Jianshe Road, Dafo Street, Tongnan District, Chongqing, China.
| | - Xing Lai
- Department of Hepatobiliary Surgery, Tongnan District People's Hospital, No. 189, Jianshe Road, Dafo Street, Tongnan District, Chongqing, China.
- Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
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3
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Lin H, Fu L, Zhou X, Yu A, Chen Y, Liao W, Shu G, Zhang L, Tan L, Liang H, Wang Z, Deng Q, Wang J, Jin M, Chen Z, Wei J, Cao J, Chen W, Li X, Li P, Lu J, Luo J. LRP1 induces anti-PD-1 resistance by modulating the DLL4-NOTCH2-CCL2 axis and redirecting M2-like macrophage polarisation in bladder cancer. Cancer Lett 2024; 593:216807. [PMID: 38462037 DOI: 10.1016/j.canlet.2024.216807] [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: 10/31/2023] [Revised: 02/23/2024] [Accepted: 03/06/2024] [Indexed: 03/12/2024]
Abstract
The tumour microenvironment (TME) drives bladder cancer (BLCA) progression. Targeting the TME has emerged as a promising strategy for BLCA treatment in recent years. Furthermore, checkpoint blockade therapies are only beneficial for a minority of patients with BLCA, and drug resistance is a barrier to achieving significant clinical effects of anti-programmed cell death protein-1 (PD-1)/programmed death protein ligand-1 (PD-L1) therapy. In this study, higher low-density lipoprotein receptor-related protein 1 (LRP1) levels were related to a poorer prognosis for patients with various cancers, including those with higher grades and later stages of BLCA. Enrichment analysis demonstrated that LRP1 plays a role in the epithelial-mesenchymal transition (EMT), NOTCH signalling pathway, and ubiquitination. LRP1 knockdown in BLCA cells delayed BLCA progression both in vivo and in vitro. Furthermore, LRP1 knockdown suppressed EMT, reduced DLL4-NOTCH2 signalling activity, and downregulated M2-like macrophage polarisation. Patients with BLCA and higher LRP1 levels responded weakly to anti-PD-1 therapy in the IMvigor210 cohort. Moreover, LRP1 knockdown enhanced the therapeutic effects of anti-PD-1 in mice. Taken together, our findings suggest that LRP1 is a potential target for improving the efficacy of anti-PD-1/PD-L1 therapy by preventing EMT and M2-like macrophage polarisation by blocking the DLL4-NOTCH2 axis.
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Affiliation(s)
- Hansen Lin
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Liangmin Fu
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xinwei Zhou
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Anze Yu
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yuhang Chen
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Wuyuan Liao
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Guannan Shu
- Department of Urology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, 510623, China
| | - Lizhen Zhang
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Lei Tan
- Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hui Liang
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Zhu Wang
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Qiong Deng
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Jieyan Wang
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Meiyu Jin
- Department of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Zhenhua Chen
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jinhuan Wei
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jiazheng Cao
- Department of Urology, Jiangmen Central Hospital, Haibang Street 23, Pengjiang District, Jiangmen, 529030, Guangdong Province, China
| | - Wei Chen
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaofei Li
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
| | - Pengju Li
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
| | - Jun Lu
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
| | - Junhang Luo
- Department of Urology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
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4
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Xin S, Su J, Li R, Cao Q, Wang H, Wei Z, Wang C, Zhang C. Identification of a risk model for prognostic and therapeutic prediction in renal cell carcinoma based on infiltrating M0 cells. Sci Rep 2024; 14:13390. [PMID: 38862642 PMCID: PMC11166996 DOI: 10.1038/s41598-024-64207-0] [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: 03/29/2024] [Accepted: 06/06/2024] [Indexed: 06/13/2024] Open
Abstract
The tumor microenvironment (TME) comprises immune-infiltrating cells that are closely linked to tumor development. By screening and analyzing genes associated with tumor-infiltrating M0 cells, we developed a risk model to provide therapeutic and prognostic guidance in clear cell renal cell carcinoma (ccRCC). First, the infiltration abundance of each immune cell type and its correlation with patient prognosis were analyzed. After assessing the potential link between the depth of immune cell infiltration and prognosis, we screened the infiltrating M0 cells to establish a risk model centered on three key genes (TMEN174, LRRC19, and SAA1). The correlation analysis indicated a positive correlation between the risk score and various stages of the tumor immune cycle, including B-cell recruitment. Furthermore, the risk score was positively correlated with CD8 expression and several popular immune checkpoints (ICs) (TIGIT, CTLA4, CD274, LAG3, and PDCD1). Additionally, the high-risk group (HRG) had higher scores for tumor immune dysfunction and exclusion (TIDE) and exclusion than the low-risk group (LRG). Importantly, the risk score was negatively correlated with the immunotherapy-related pathway enrichment scores, and the LRG showed a greater therapeutic benefit than the HRG. Differences in sensitivity to targeted drugs between the HRG and LRG were analyzed. For commonly used targeted drugs in RCC, including axitinib, pazopanib, temsirolimus, and sunitinib, LRG had lower IC50 values, indicating increased sensitivity. Finally, immunohistochemistry results of 66 paraffin-embedded specimens indicated that SAA1 was strongly expressed in the tumor samples and was associated with tumor metastasis, stage, and grade. SAA1 was found to have a significant pro-tumorigenic effect by experimental validation. In summary, these data confirmed that tumor-infiltrating M0 cells play a key role in the prognosis and treatment of patients with ccRCC. This discovery offers new insights and directions for the prognostic prediction and treatment of ccRCC.
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Affiliation(s)
- Shiyong Xin
- Department of Urology, The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, No. 636, Guan-lin Rd, Luo-long District, Luoyang, China.
| | - Junjie Su
- Department of Urology, The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, No. 636, Guan-lin Rd, Luo-long District, Luoyang, China
| | - Ruixin Li
- Department of Urology, The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, No. 636, Guan-lin Rd, Luo-long District, Luoyang, China
| | - Qiong Cao
- Department of Pathology, The Third Affiliated Hospital of Henan University of Science and Technology, Luoyang, 471003, China
| | - Haojie Wang
- Department of Central Laboratory, Zhengzhou University, Luoyang Central Hospital, Luoyang, 471003, China
| | - Zhihao Wei
- Department of Pathology, The Yiluo Hospital of Luoyang, The Teaching Hospital of Henan University of Science and Technology, Luoyang, 471023, China
| | - Chengliang Wang
- Department of Urology, Shangcheng County People's Hospital, Xinyang, 464000, China
| | - Chengdong Zhang
- Department of Urology, Xinxiang First People's Hospital, Xinxiang, 453000, China
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5
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Peng X, Liu C, Zhang L, Chen Y, Mao L, Gao S, Shi X, Zuo L. IL4I1: a novel molecular biomarker represents an inflamed tumor microenvironment and precisely predicts the molecular subtype and immunotherapy response of bladder cancer. Front Pharmacol 2024; 15:1365683. [PMID: 38873416 PMCID: PMC11169701 DOI: 10.3389/fphar.2024.1365683] [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: 01/04/2024] [Accepted: 05/09/2024] [Indexed: 06/15/2024] Open
Abstract
Introduction: IL4I1, also known as Interleukin-4-induced gene 1, is an enzyme that can modulate the immune system by acting as a L-amino acid oxidase. Nevertheless, a precise understanding of the correlation of IL4I1 with immunological features and immunotherapy efficacy in bladder cancer (BLCA) remains incomplete. Methods: We analyzed RNA sequencing data from the Cancer Genome Atlas (TCGA) to investigate the immune function and prognostic importance of IL4I1 across different cancer types. We further examined the TCGA-BLCA cohort for correlations between IL4I1 and various immunological characteristics of tumor microenvironment (TME), such as cancer immune cycle, immune cell infiltration, immune checkpoint expression and T cell inflamed score. Validation was conducted using two independent cohort, GSE48075 and E-MTAB-4321. Finally, RNA sequencing data from the IMvigor210 cohort and immunohistochemistry assays were employed to validate the predictive value of IL4I1 for the TME and immunotherapy efficacy. Results: In our findings, a positive correlation was observed between IL4I1 expression and immunomodulators expression, immune cell infiltration, the cancer immune cycle, and T cell inflamed score in BLCA, suggesting a significant link to the inflamed TME. In addition, studies have shown that IL4I1 elevated levels of individuals tend to be more performance for basal subtype and exhibit enhanced response rates to diverse treatment modalities, specifically immunotherapy. Clinical data from the IMvigor 210 cohort confirmed a higher rate of response to immunotherapy and better survival benefits in patients with high IL4I1 expression. Discussion: To summarize, our research showed that elevated IL4I1 levels are indicative of an inflamed TME, the basal subtype, and a more favorable response to various treatment methods, especially immune checkpoint blockade therapy in BLCA.
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Affiliation(s)
- Xiangrong Peng
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Chuan Liu
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Li Zhang
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Yin Chen
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Lixin Mao
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Shenglin Gao
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
- Department of Urology, Gonghe County Hospital of Traditional Chinese Medicine, Hainan Tibetan Autonomous Prefecture, Qinghai, China
| | - Xiaokai Shi
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Li Zuo
- Department of Urology, ChangZhou No.2 people’s Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
- Laboratory of Urology, ChangZhou Medical Center, Nanjing Medical University, Changzhou, Jiangsu, China
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Yang S, Han Z, Tan Z, Wu Z, Ye J, Cai S, Feng Y, He H, Wen B, Zhu X, Ye Y, Huang H, Wang S, Zhong W, Deng Y. Machine learning-based integration develops a stress response stated T cell (Tstr)-related score for predicting outcomes in clear cell renal cell carcinoma. Int Immunopharmacol 2024; 132:112017. [PMID: 38599101 DOI: 10.1016/j.intimp.2024.112017] [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: 01/01/2024] [Revised: 03/21/2024] [Accepted: 04/03/2024] [Indexed: 04/12/2024]
Abstract
BACKGROUND Establishment of a reliable prognostic model and identification of novel biomarkers are urgently needed to develop precise therapy strategies for clear cell renal cell carcinoma (ccRCC). Stress response stated T cells (Tstr) are a new T-cell subtype, which are related to poor disease stage and immunotherapy response in various cancers. METHODS 10 machine-learning algorithms and their combinations were applied in this work. A stable Tstr-related score (TCs) was constructed to predict the outcomes and PD-1 blockade treatment response in ccRCC patients. A nomogram based on TCs for personalized prediction of patient prognosis was constructed. Functional enrichment analysis and TimiGP algorithm were used to explore the underlying role of Tstr in ccRCC. The key TCs-related gene was identified by comprehensive analysis, and the bioinformatics results were verified by immunohistochemistry using a tissue microarray. RESULTS A robust TCs was constructed and validated in four independent cohorts. TCs accurately predicted the prognosis and PD-1 blockade treatment response in ccRCC patients. The novel nomogram was able to precisely predict the outcomes of ccRCC patients. The underlying biological process of Tstr was related to acute inflammatory response and acute-phase response. Mast cells were identified to be involved in the role of Tstr as a protective factor in ccRCC. TNFS13B was shown to be the key TCs-related gene, which was an independent predictor of unfavorable prognosis. The protein expression analysis of TNFSF13B was consistent with the mRNA analysis results. High expression of TNFSF13B was associated with poor response to PD-1 blockade treatment. CONCLUSIONS This study provides a Tstr cell-related score for predicting outcomes and PD-1 blockade therapy response in ccRCC. Tstr cells may exert their pro-tumoral role in ccRCC, acting against mast cells, in the acute inflammatory tumor microenvironment. TNFSF13B could serve as a key biomarker related to TCs.
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Affiliation(s)
- Shuai Yang
- Department of Urology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui 233004, China
| | - Zhaodong Han
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong 510180, China
| | - Zeheng Tan
- Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, China
| | - Zhenjie Wu
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong 510180, China
| | - Jianheng Ye
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong 510180, China
| | - Shanghua Cai
- Guangdong Provincial Key Laboratory of Urology, Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong 510120, China; Guangzhou National Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou International Bio Island, Guangzhou, Guangdong 510005, China; State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, Macau 999078, China
| | - Yuanfa Feng
- Guangdong Provincial Key Laboratory of Urology, Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong 510120, China
| | - Huichan He
- Guangdong Provincial Key Laboratory of Urology, Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong 510120, China
| | - Biyan Wen
- School of Medicine, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Xuejin Zhu
- Department of Urology, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China
| | - Yongkang Ye
- Department of Urology, The Tenth Affiliated Hospital of Southern Medical University (Dongguan people's hospital), Dongguan, Guangdong 523059, China
| | - Huiting Huang
- Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, China
| | - Sheng Wang
- Department of Urology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui 233004, China.
| | - Weide Zhong
- Department of Urology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong 510180, China; Guangdong Provincial Key Laboratory of Urology, Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong 510120, China; Guangzhou National Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou International Bio Island, Guangzhou, Guangdong 510005, China; State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, Macau 999078, China.
| | - Yulin Deng
- Guangdong Provincial Key Laboratory of Urology, Department of Urology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong 510120, China.
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7
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Wang Y, Chen X, Li Y, Zhang Z, Xia L, Jiang J, Chai Y, Wang Z, Wan Y, Li T, Jin F, Li H. SLC27A2 is a potential immune biomarker for hematological tumors and significantly regulates the cell cycle progression of diffuse large B-cell lymphoma. BMC Med Genomics 2024; 17:105. [PMID: 38664735 PMCID: PMC11046844 DOI: 10.1186/s12920-024-01853-3] [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: 10/31/2023] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Research on the fatty acid metabolism related gene SLC27A2 is currently mainly focused on solid tumors, and its mechanism of action in hematological tumors has not been reported. METHOD This study aims to explore the pathological and immune mechanisms of the fatty acid metabolism related gene SLC27A2 in hematological tumors and verify its functional role in hematological tumors through cell experiments to improve treatment decisions and clinical outcomes of hematological tumors. RESULT This study identified the fatty acid metabolism related gene SLC27A2 as a common differentially expressed gene between DLBCL and AML. Immune microenvironment analysis showed that SLC27A2 was significantly positively correlated with T cell CD4 + , T cell CD8 + , endothelial cells, macrophages, and NK cells in DLBCL. In AML, there is a significant negative correlation between SLC27A2 and B cells, T cell CD8 + , and macrophages. SLC27A2 participates in the immune process of hematological tumors through T cell CD8 + and macrophages. The GESA results indicate that high expression of SLC27A2 is mainly involved in the fatty acid pathway, immune pathway, and cell cycle pathway of DLBCL. The low expression of SLC27A2 is mainly involved in the immune pathway of AML. Therefore, SLC27A2 is mainly involved in the pathological mechanisms of hematological tumors through immune pathways, and cell experiments have also confirmed that SLC27A2 is involved in the regulation of DLBCL cells. CONCLUSION In summary, our research results comprehensively report for the first time the mechanism of action of SLC27A2 in the immune microenvironment of DLBCL and AML, and for the first time verify the cycle and apoptotic effects of the fatty acid related gene SLC27A2 in DLBCL cells through cell experiments. Research can help improve the treatment of AML and DLBCL patients.
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MESH Headings
- Humans
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/immunology
- Lymphoma, Large B-Cell, Diffuse/pathology
- Cell Cycle
- Tumor Microenvironment/immunology
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Gene Expression Regulation, Neoplastic
- Hematologic Neoplasms/genetics
- Hematologic Neoplasms/immunology
- Hematologic Neoplasms/pathology
- Cell Line, Tumor
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/immunology
- Leukemia, Myeloid, Acute/pathology
- Leukemia, Myeloid, Acute/metabolism
- Fatty Acids/metabolism
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Affiliation(s)
- Yi Wang
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Xue Chen
- Graduate School Internal Medicine, Bengbu Medical College, Anhui, China
| | - Yun Li
- Kindstar Global Precision Medicine Institute, Wuhan, China
- Department of Scientific Research Project, Wuhan Kindstar Medical Laboratory Co., Ltd, Wuhan, Hubei, China
| | - Zhixue Zhang
- Department of Hematology, The Ji'an Central Hospital, Jiangxi, China
| | - Leiming Xia
- Department of Hematology, The First Affiliated Hospital of Anhui Medical, Anhui, China
| | - Jiang Jiang
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical, Hefei, Anhui, China
| | - Yuqin Chai
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Ziming Wang
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Yu Wan
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Tongyu Li
- Ningbo Clinical Research Center for Hematologic Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Fengbo Jin
- Department of Hematology, The First Affiliated Hospital of Anhui Medical, Anhui, China.
| | - Hongxia Li
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China.
- Graduate School Internal Medicine, Bengbu Medical College, Anhui, China.
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Hu C, Chen Q, Wu T, Du X, Dong Y, Peng Z, Xue W, Sunkara V, Cho YK, Dong L. The Role of Extracellular Vesicles in the Treatment of Prostate Cancer. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2311071. [PMID: 38639331 DOI: 10.1002/smll.202311071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/26/2024] [Indexed: 04/20/2024]
Abstract
Prostate cancer (PCa) has become a public health concern in elderly men due to an ever-increasing number of estimated cases. Unfortunately, the available treatments are unsatisfactory because of a lack of a durable response, especially in advanced disease states. Extracellular vesicles (EVs) are lipid-bilayer encircled nanoscale vesicles that carry numerous biomolecules (e.g., nucleic acids, proteins, and lipids), mediating the transfer of information. The past decade has witnessed a wide range of EV applications in both diagnostics and therapeutics. First, EV-based non-invasive liquid biopsies provide biomarkers in various clinical scenarios to guide treatment; EVs can facilitate the grading and staging of patients for appropriate treatment selection. Second, EVs play a pivotal role in pathophysiological processes via intercellular communication. Targeting key molecules involved in EV-mediated tumor progression (e.g., proliferation, angiogenesis, metastasis, immune escape, and drug resistance) is a potential approach for curbing PCa. Third, EVs are promising drug carriers. Naïve EVs from various sources and engineered EV-based drug delivery systems have paved the way for the development of new treatment modalities. This review discusses the recent advancements in the application of EV therapies and highlights EV-based functional materials as novel interventions for PCa.
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Affiliation(s)
- Cong Hu
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Qi Chen
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Tianyang Wu
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Xinxing Du
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Yanhao Dong
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Zehong Peng
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Wei Xue
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Vijaya Sunkara
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Yoon-Kyoung Cho
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
- Center for Algorithmic and Robotized Synthesis, Institute for Basic Science Ulsan, Ulsan, 44919, Republic of Korea
| | - Liang Dong
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
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Bi Y, Liu J, Qin S, Ji F, Zhou C, Yang H, Zhou S. CDKL3 shapes immunosuppressive tumor microenvironment and initiates autophagy in esophageal cancer. Front Immunol 2024; 15:1295011. [PMID: 38562942 PMCID: PMC10982402 DOI: 10.3389/fimmu.2024.1295011] [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: 09/15/2023] [Accepted: 03/05/2024] [Indexed: 04/04/2024] Open
Abstract
Background CDKL3 has been associated with the prognosis of several tumors. However, the potential role of CDKL3 in immunotherapy and the tumor microenvironment (TME) in esophageal carcinoma (ESCA) remains unclear. Methods In this study, Cox regression analysis was used to assess the predictive value of CDKL3 for ESCA outcomes. We systematically correlated CDKL3 with immunological features in the TME. The role of CDKL3 in predicting the efficacy of immunotherapy was also analyzed. Correlation analysis, Cox analysis and LASSO Cox regression were used to construct the CDKL3-related autophagy (CrA) risk score model. The relationship between CDKL3 expression and postoperative pathological complete response (pCR) rate in esophageal squamous cell carcinoma (ESCC) patients undergoing neoadjuvant chemoradiotherapy (nCRT) was evaluated using Immunohistochemical staining (IHC). The relationship between CDKL3 expression and autophagy induction was confirmed by immunofluorescence staining and western blot, and the effect of CDKL3 expression on macrophage polarization was verified by flow cytometry. Results High expression of CDKL3 was found in ESCA and was associated with poor prognosis in ESCA. Moreover, CDKL3 expression was negatively correlated with tumor-infiltrating immune cells (TIICs), the integrality of the cancer immunity cycles, and anti-tumor signatures, while CDKL3 expression was positively correlated with suppressive TME-related chemokines and receptors, immune hyperprogressive genes, and suppressive immune checkpoint, resulting in immunosuppressive TME formation in ESCA. An analysis of immunotherapy cohorts of the ESCA and pan-cancer showed a better response to immunotherapy in tumor patients with lower CDKL3 levels. The CrA risk score model was constructed and validated to accurately predict the prognosis of ESCA. Notably, the CrA risk score of ESCA patients was significantly positively correlated with M2 macrophages. Furthermore, knockdown CDKL3 in KYSE150 cells could inhibit autophagy induction and M2 macrophage polarization. And, radiation could downregulate CDKL3 expression and autophagy induction, while ESCC patients with high CDKL3 expression had a significantly lower response rate after nCRT than those with low CDKL3 expression. Conclusion CDKL3 may play an important role in anti-tumor immunity by regulating autophagy to promote the formation of immunosuppressive TME, thus playing a critical role in the prognosis of ESCA.
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Affiliation(s)
- Yanping Bi
- Department of Radiation Oncology, Xi’an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi’an, Shaanxi, China
| | - Jie Liu
- Department of Medical Research Center, Xi’an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi’an, Shaanxi, China
| | - Songbing Qin
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Fuqing Ji
- Department of Thyroid Breast Surgery, Xi’an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi’an, Shaanxi, China
| | - Chao Zhou
- Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Haihua Yang
- Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
- Key Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Taizhou, Zhejiang, China
| | - Suna Zhou
- Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
- Key Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Taizhou, Zhejiang, China
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10
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Zhang MQ, Yang BZ, Wang ZQ, Guo S. Fatty acid metabolism-related lncRNAs are potential biomarkers for survival prediction in clear cell renal cell carcinoma. Medicine (Baltimore) 2024; 103:e37207. [PMID: 38394500 DOI: 10.1097/md.0000000000037207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/25/2024] Open
Abstract
Metabolic reprogramming of energy is a newly recognized characteristic of cancer. In our current investigation, we examined the possible predictive importance of long noncoding RNAs (lncRNAs) associated to fatty acid metabolism in clear cell renal cell carcinoma (ccRCC). We conducted an analysis of the gene expression data obtained from patients diagnosed with ccRCC using the Cancer Genome Atlas (TCGA) database and the ArrayExpress database. We performed a screening to identify lncRNAs that are differentially expressed in fatty acid metabolism. Based on these findings, we developed a prognostic risk score model using these fatty acid metabolism-related lncRNAs. We then validated this model using Cox regression analysis, Kaplan-Meier survival analysis, and principal-component analysis (PCA). Furthermore, the prognostic risk score model was successfully validated using both the TCGA cohort and the E-MTAB-1980 cohort. We utilized gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) to determine the correlation between fatty acid metabolism and the PPAR signaling pathway in patients with ccRCC at various clinical stages and prognoses. We have discovered compelling evidence of the interaction between immune cells in the tumor microenvironment and tumor cells, which leads to immune evasion and resistance to drugs. This was achieved by the utilization of advanced techniques such as the CIBERSORT method, ESTIMATE R package, ssGSEA algorithm, and TIMER database exploration. Ultimately, we have established a network of competing endogenous RNA (ceRNA) that is related to fatty acid metabolism. The findings of our study suggest that medicines focused on fatty acid metabolism could be clinically significant for individuals with ccRCC. The utilization of this risk model, which is centered around the lncRNAs associated with fatty acid metabolism, could potentially provide valuable prognostic information and hold immunotherapeutic implications for patients with ccRCC.
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Affiliation(s)
- Ming-Qing Zhang
- Department of Urology, Weifang Pepole's Hospital, Weifang, Shandong, China
| | - Bai-Zhi Yang
- Department of Urology, Shouguang Hospital of Traditional Chinese Medicine, Shouguang, China
| | - Zhi-Qiang Wang
- Department of Urology, Shouguang Hospital of Traditional Chinese Medicine, Shouguang, China
| | - Shanchun Guo
- RCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA
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11
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Wei J, Wang J, Chen X, Zhang L, Peng M. Novel application of the ferroptosis-related genes risk model associated with disulfidptosis in hepatocellular carcinoma prognosis and immune infiltration. PeerJ 2024; 12:e16819. [PMID: 38317842 PMCID: PMC10840499 DOI: 10.7717/peerj.16819] [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: 07/13/2023] [Accepted: 12/31/2023] [Indexed: 02/07/2024] Open
Abstract
Hepatocellular carcinoma (HCC) stands as the prevailing manifestation of primary liver cancer and continues to pose a formidable challenge to human well-being and longevity, owing to its elevated incidence and mortality rates. Nevertheless, the quest for reliable predictive biomarkers for HCC remains ongoing. Recent research has demonstrated a close correlation between ferroptosis and disulfidptosis, two cellular processes, and cancer prognosis, suggesting their potential as predictive factors for HCC. In this study, we employed a combination of bioinformatics algorithms and machine learning techniques, leveraging RNA sequencing data, mutation profiles, and clinical data from HCC samples in The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and the International Cancer Genome Consortium (ICGC) databases, to develop a risk prognosis model based on genes associated with ferroptosis and disulfidptosis. We conducted an unsupervised clustering analysis, calculating a risk score (RS) to predict the prognosis of HCC using these genes. Clustering analysis revealed two distinct HCC clusters, each characterized by significantly different prognostic and immune features. The median RS stratified HCC samples in the TCGA, GEO, and ICGC cohorts into high-and low-risk groups. Importantly, RS emerged as an independent prognostic factor in all three cohorts, with the high-risk group demonstrating poorer prognosis and a more active immunosuppressive microenvironment. Additionally, the high-risk group exhibited higher expression levels of tumor mutation burden (TMB), immune checkpoints (ICs), and human leukocyte antigen (HLA), suggesting a heightened responsiveness to immunotherapy. A cancer stem cell infiltration analysis revealed a higher similarity between tumor cells and stem cells in the high-risk group. Furthermore, drug sensitivity analysis highlighted significant differences in response to antitumor drugs between the two risk groups. In summary, our risk prognostic model, constructed based on ferroptosis-related genes associated with disulfidptosis, effectively predicts HCC prognosis. These findings hold potential implications for patient stratification and clinical decision-making, offering valuable theoretical insights in this field.
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Affiliation(s)
- Jiayan Wei
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Jinsong Wang
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Xinyi Chen
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Li Zhang
- Basic Medical Sciences, Wuhan University School of Basic Medical Sciences, Wuhan, Hubei, China
| | - Min Peng
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
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12
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Ye F, Wang L, Li Y, Dong C, Zhou L, Xu J. IL4I1 in M2-like macrophage promotes glioma progression and is a promising target for immunotherapy. Front Immunol 2024; 14:1338244. [PMID: 38250074 PMCID: PMC10799346 DOI: 10.3389/fimmu.2023.1338244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 12/12/2023] [Indexed: 01/23/2024] Open
Abstract
Background Glioma is the prevailing malignant intracranial tumor, characterized by an abundance of macrophages. Specifically, the infiltrating macrophages often display the M2 subtype and are known as tumor-associated macrophages (TAMs). They have a critical role in promoting the oncogenic properties of tumor cells. Interleukin-4-induced-1 (IL4I1) functions as an L-phenylalanine oxidase, playing a key part in regulating immune responses and the progression of various tumors. However, there is limited understanding of the IL4I1-mediated cross-talk function between TAMs and glioma cell in the glioma microenvironment. Methods TCGA, GTEx, and HPA databases were applied to assess the IL4I1 expression, clinical characteristics, and prognostic value of pan-cancer. The link between IL4I1 levels and the prognosis, methylation, and immune checkpoints (ICs) in gliomas were explored through Kaplan-Meier curve, Cox regression, and Spearman correlation analyses. The IL4I1 levels and their distribution were investigated by single-cell analysis and the TIMER 2 database. Additionally, validation of IL4I1 expression was performed by WB, RT-qPCR, IHC, and IF. Co-culture models between glioma cells and M2-like macrophages were used to explore the IL4I1-mediated effects on tumor growth, invasion, and migration of glioma cells. Moreover, the function of IL4I1 on macrophage polarization was evaluated by ELISA, RT-qPCR, WB, and siRNA transfection. Results Both transcriptome and protein levels of IL4I1 were increased obviously in various tumor types, and correlated with a dismal prognosis. Specifically, IL4I1 was implicated in aggressive progression and a dismal prognosis for patients with glioma. A negative association was noticed between the glioma grade and DNA promoter methylation of IL4I1. Enrichment analyses in glioma patients suggested that IL4I1 was linked to cytokine and immune responses, and was positively correlated with ICs. Single-cell analysis, molecular experiments, and in vitro assays showed that IL4I1 was significantly expressed in TAMs. Importantly, co-culture models proved that IL4I1 significantly promoted the invasion and migration of glioma cells, and induced the polarization of M2-like macrophages. Conclusion IL4I1 could be a promising immunotherapy target for selective modulation of TAMs and stands as a novel macrophage-related prognostic biomarker in glioma.
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Affiliation(s)
| | | | | | | | - Liangxue Zhou
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
| | - Jianguo Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China
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Deng L, Jiang H. Decreased Expression of GLYATL1 Predicts Poor Prognosis in Patients with Clear Cell Renal Cell Carcinoma. Int J Gen Med 2023; 16:3757-3768. [PMID: 37649851 PMCID: PMC10464902 DOI: 10.2147/ijgm.s419301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 08/04/2023] [Indexed: 09/01/2023] Open
Abstract
Background GLYATL1 is a member of the glycine-N-acyltransferase family, which catalyses acyl group transfer. The role of GLYATL1 in cancer is largely unknown; therefore, the potential value of GLYATL1 in clear cell renal cell carcinoma (ccRCC) was explored. Methods The ccRCC gene expression profiles and clinical data were obtained from the University of California Santa Cruz Xena platform. Differential expression and survival analysis were performed using R software. Samples from the TIMER public database and real-world were used for validation. The potential molecular mechanism of GLYATL1 in ccRCC was explored using gene set enrichment analysis (GSEA). Results GLYATL1 was downregulated, indicating a poor prognosis in ccRCC. Low expression of GLYATL1 was significantly associated with advanced stage and higher histological grade ccRCC. The differential expression of GLYATL1 was validated at the protein level using clinical samples and tissue microarray. The results of GSEA showed that multiple crucial signalling pathways including fatty acid metabolism, adipogenesis, oxidative phosphorylation and epithelial-mesenchymal transition were enriched. Conclusion This study demonstrated that GLYATL1 downregulation has an unfavourable impact on the survival of patients with ccRCC. The resulting data indicated that GLYATL1 could be a potential new target for ccRCC therapy, which may be helpful for the personalized treatment of such individuals.
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Affiliation(s)
- Limin Deng
- Department of Urology, Meizhou Academy of Medical Sciences, Meizhou People’s Hospital, Guangdong Medical University, Meizhou, Guangdong Province, People’s Republic of China
| | - Huiming Jiang
- Department of Urology, Meizhou Academy of Medical Sciences, Meizhou People’s Hospital, Meizhou, Guangdong Province, People's Republic of China
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