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Lao S, Chen Z, Wang W, Zheng Y, Xiong S, He P, Yi H, Li J, Li F, Li S, He M, Liu X, Qi C, He J, Liang W. Prognostic patterns in invasion lymph nodes of lung adenocarcinoma reveal distinct tumor microenvironments. NPJ Precis Oncol 2024; 8:164. [PMID: 39080406 PMCID: PMC11289302 DOI: 10.1038/s41698-024-00639-1] [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: 12/02/2023] [Accepted: 07/09/2024] [Indexed: 08/02/2024] Open
Abstract
Tumor-draining lymph nodes (TDLNs) are usually the first station of tumor metastasis in lung cancer. TDLNs+ have distinct pathomorphologic and tumor microenvironment (TME)-compositional patterns, which still need to be thoroughly investigated in lung adenocarcinoma (LUAD). Here, we enrolled 312 LUAD patients with TDLNs+ from our institution between 2015 and 2019. 3DHISTECH was used to scan all of the TDLNs+. Based on morphologic features, TDLNs+ patterns were classified as polarized-type or scattered-type, and TME-compositional patterns were classified as colloid-type, necrosis-type, specific-type, and common-type. Multivariate analysis revealed an increased risk of early recurrence associated with scattered-type (HR 2.37, 95% CI: 1.06-5.28), colloid-type (HR 1.95, 95% CI: 1.03-3.67), and necrosis-type (HR 2.21, 95% CI: 1.13-4.89). NanoString transcriptional analysis revealed an immunosuppression and vascular invasion hallmark in scattered and necrosis patterns and an immunoactivated hallmark in polarized and common patterns. According to imaging mass cytometry (IMC), the scattered and necrosis patterns revealed that germinal centers (GC) were compromised, GCB cell and T cell proliferation were deficient, tumor cells had the potential for proliferation, and the immune attack may be weaker. In this study, we present evidence that LUAD patients have distinct patterns and immune hallmarks of TDLNs+ related to their prognosis.
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Affiliation(s)
- Shen Lao
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Healthy, Guangzhou, China
| | - Zisheng Chen
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Healthy, Guangzhou, China
- Department of Respiratory and Critical Care Medicine, the Affiliated Qingyuan Hospital, Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China
| | - Wei Wang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Healthy, Guangzhou, China
| | - Yongmei Zheng
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Healthy, Guangzhou, China
| | - Shan Xiong
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Healthy, Guangzhou, China
| | - Ping He
- Department of Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Huan Yi
- The State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, China
| | - Jianfu Li
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Healthy, Guangzhou, China
| | - Feng Li
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Healthy, Guangzhou, China
| | - Shuting Li
- Department of Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Miao He
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Healthy, Guangzhou, China
| | - Xiaoyan Liu
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Healthy, Guangzhou, China
| | - Chuang Qi
- The State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, China
| | - Jianxing He
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Healthy, Guangzhou, China.
| | - Wenhua Liang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Healthy, Guangzhou, China.
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Sun S, Cai X, Shao J, Zhang G, Liu S, Wang H. Machine learning-based approach for efficient prediction of diagnosis, prognosis and lymph node metastasis of papillary thyroid carcinoma using adhesion signature selection. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:20599-20623. [PMID: 38124567 DOI: 10.3934/mbe.2023911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
The association between adhesion function and papillary thyroid carcinoma (PTC) is increasingly recognized; however, the precise role of adhesion function in the pathogenesis and prognosis of PTC remains unclear. In this study, we employed the robust rank aggregation algorithm to identify 64 stable adhesion-related differentially expressed genes (ARDGs). Subsequently, using univariate Cox regression analysis, we identified 16 prognostic ARDGs. To construct PTC survival risk scoring models, we employed Lasso Cox and multivariate + stepwise Cox regression methods. Comparative analysis of these models revealed that the Lasso Cox regression model (LPSRSM) displayed superior performance. Further analyses identified age and LPSRSM as independent prognostic factors for PTC. Notably, patients classified as low-risk by LPSRSM exhibited significantly better prognosis, as demonstrated by Kaplan-Meier survival analyses. Additionally, we investigated the potential impact of adhesion feature on energy metabolism and inflammatory responses. Furthermore, leveraging the CMAP database, we screened 10 drugs that may improve prognosis. Finally, using Lasso regression analysis, we identified four genes for a diagnostic model of lymph node metastasis and three genes for a diagnostic model of tumor. These gene models hold promise for prognosis and disease diagnosis in PTC.
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Affiliation(s)
- Shuo Sun
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Beihua University, Beihua University, Jilin 132013, China
| | - Xiaoni Cai
- Department of General Surgery, Shangyu People's Hospital of Shaoxing, the Second Affiliated Hospital of Zhejiang University Medical College Hospital, Shaoxing 312399, China
| | - Jinhai Shao
- Department of General Surgery, Shangyu People's Hospital of Shaoxing, the Second Affiliated Hospital of Zhejiang University Medical College Hospital, Shaoxing 312399, China
| | - Guimei Zhang
- Department of Neurology and Neuroscience Center, The First Hospital of Jilin University, Jilin University, Changchun 130061, China
| | - Shan Liu
- Department of Nuclear Medicine, The Second Hospital of Jilin University, Jilin University, Changchun 130041, China
| | - Hongsheng Wang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Beihua University, Beihua University, Jilin 132013, China
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Ren JS, Bai W, Ding JJ, Ge HM, Wang SY, Chen X, Jiang Q. Hypoxia-induced AFAP1L1 regulates pathological neovascularization via the YAP-DLL4-NOTCH axis. J Transl Med 2023; 21:651. [PMID: 37737201 PMCID: PMC10515434 DOI: 10.1186/s12967-023-04503-x] [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: 07/06/2023] [Accepted: 09/02/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Pathological neovascularization plays a pivotal role in the onset and progression of tumors and neovascular eye diseases. Despite notable advancements in the development of anti-angiogenic medications that target vascular endothelial growth factor (VEGF) and its receptors (VEGFRs), the occurrence of adverse reactions and drug resistance has somewhat impeded the widespread application of these drugs. Therefore, additional investigations are warranted to explore alternative therapeutic targets. In recent years, owing to the swift advancement of high-throughput sequencing technology, pan-cancer analysis and single-cell sequencing analysis have emerged as pivotal methodologies and focal areas within the domain of omics research, which is of great significance for us to find potential targets related to the regulation of pathological neovascularization. METHODS Pan-cancer analysis and scRNA-seq data analysis were employed to forecast the association between Actin filament-associated protein 1 like 1 (AFAP1L1) and the development of tumors and endothelial cells. Tumor xenograft model and ocular pathological neovascularization model were constructed as well as Isolectin B4 (IsoB4) staining and immunofluorescence staining were used to assess the effects of AFAP1L1 on the progression of neoplasms and neovascular eye diseases in vivo. Transwell assay, wound scratch assay, tube forming assay, three-dimensional germination assay, and rhodamine-phalloidin staining were used to evaluate the impact of AFAP1L1 on human umbilical vein endothelial cells (HUVECs) function in vitro; Dual luciferase reporting, qRT-PCR and western blot were used to investigate the upstream and downstream mechanisms of pathological neovascularization mediated by AFAP1L1. RESULTS Our investigation revealed that AFAP1L1 plays a crucial role in promoting the development of various tumors and demonstrates a strong correlation with endothelial cells. Targeted suppression of AFAP1L1 specifically in endothelial cells in vivo proves effective in inhibiting tumor formation and ocular pathological neovascularization. Mechanistically, AFAP1L1 functions as a hypoxia-related regulatory protein that can be activated by HIF-1α. In vitro experiments demonstrated that reducing AFAP1L1 levels can reverse hypoxia-induced excessive angiogenic capacity in HUVECs. The principal mechanism of angiogenesis inhibition entails the regulation of tip cell behavior through the YAP-DLL4-NOTCH axis. CONCLUSION In conclusion, AFAP1L1, a newly identified hypoxia-related regulatory protein, can be activated by HIF-1α. Inhibiting AFAP1L1 results in the inhibition of angiogenesis by suppressing the germination of endothelial tip cells through the YAP-DLL4-NOTCH axis. This presents a promising therapeutic target to halt the progression of tumors and neovascular eye disease.
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Affiliation(s)
- Jun-Song Ren
- Department of Ophthalmology, The Affiliated Eye Hospital, Nanjing Medical University, #138 Han-ZhongRoad, Nanjing, 210000, China
- The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, 210000, China
| | - Wen Bai
- Department of Ophthalmology, The Affiliated Eye Hospital, Nanjing Medical University, #138 Han-ZhongRoad, Nanjing, 210000, China
- The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, 210000, China
| | - Jing-Juan Ding
- Department of Ophthalmology, Xuzhou Central Hospital, Xuzhou, 221000, China
| | - Hui-Min Ge
- Department of Ophthalmology, The Affiliated Eye Hospital, Nanjing Medical University, #138 Han-ZhongRoad, Nanjing, 210000, China
| | - Su-Yu Wang
- Department of Ophthalmology, The Affiliated Eye Hospital, Nanjing Medical University, #138 Han-ZhongRoad, Nanjing, 210000, China
- The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, 210000, China
| | - Xi Chen
- Department of Ophthalmology, The Affiliated Eye Hospital, Nanjing Medical University, #138 Han-ZhongRoad, Nanjing, 210000, China
- The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, 210000, China
- Department of Ophthalmology, Northern Jiangsu People's Hospital, Yangzhou, 225000, China
| | - Qin Jiang
- Department of Ophthalmology, The Affiliated Eye Hospital, Nanjing Medical University, #138 Han-ZhongRoad, Nanjing, 210000, China.
- The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, 210000, China.
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