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Wang C, Li Y, Wang L, Han Y, Gao X, Li T, Liu M, Dai L, Du R. SPP1 represents a therapeutic target that promotes the progression of oesophageal squamous cell carcinoma by driving M2 macrophage infiltration. Br J Cancer 2024; 130:1770-1782. [PMID: 38600327 PMCID: PMC11130281 DOI: 10.1038/s41416-024-02683-x] [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: 12/03/2023] [Revised: 03/29/2024] [Accepted: 04/04/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Tumour-associated macrophages (TAMs) are an important component of the tumour microenvironment (TME). However, the crosstalk between oesophageal squamous cell carcinoma (ESCC) cells and TAMs remains largely unexplored. METHODS Clinical samples and the TCGA database were used to evaluate the relevance of SPP1 and TAM infiltration in ESCC. Mouse models were constructed to investigate the roles of macrophages educated by SPP1 in ESCC. Macrophage phenotypes were determined using qRT‒PCR and immunohistochemical staining. RNA sequencing was performed to elucidate the mechanism. RESULTS Increasing expression of SPP1 correlated with M2-like TAM accumulation in ESCC, and they both predicted poor prognosis in the ESCC cohort. Knockdown of SPP1 significantly inhibited the infiltration of M2 TAMs in xenograft tumours. In vivo mouse model experiments showed that SPP1-mediated education of macrophages plays an essential role in the progression of ESCC. Mechanistically, SPP1 recruited macrophages and promoted M2 polarisation via CD44/PI3K/AKT signalling activation and then induced VEGFA and IL6 secretion to sustain ESCC progression. Finally, blockade of SPP1 with RNA aptamer significantly inhibited tumour growth and M2 TAM infiltration in xenograft mouse models. CONCLUSIONS This study highlights SPP1-mediated crosstalk between ESCC cells and TAMs in ESCC. SPP1 could serve as a potential target in ESCC therapy.
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Affiliation(s)
- Chen Wang
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450052, Henan, China
- Department of Nuclear Medicine, Xinxiang Central Hospital, Xinxiang, 453002, Henan, China
| | - Yutong Li
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450052, Henan, China
- Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
- Henan Key Laboratory for Pharmacology of Liver Diseases, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Linhong Wang
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450052, Henan, China
- Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
- Henan Key Laboratory for Pharmacology of Liver Diseases, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Yu Han
- Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Xiaohui Gao
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450052, Henan, China
- Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
- Henan Key Laboratory for Pharmacology of Liver Diseases, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Tiandong Li
- College of Public Health, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Man Liu
- Laboratory of Molecular Biology, Henan Luoyang Orthopedic Hospital (Henan Provincial Orthopedic Hospital), Zhengzhou, 450000, Henan, China
| | - Liping Dai
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450052, Henan, China
- Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China
- Henan Key Laboratory for Pharmacology of Liver Diseases, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Renle Du
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450052, Henan, China.
- Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China.
- Henan Key Laboratory for Pharmacology of Liver Diseases, Zhengzhou University, Zhengzhou, 450052, Henan, China.
- College of Public Health, Zhengzhou University, Zhengzhou, 450052, Henan, China.
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Sun X, Nong M, Meng F, Sun X, Jiang L, Li Z, Zhang P. Architecting the metabolic reprogramming survival risk framework in LUAD through single-cell landscape analysis: three-stage ensemble learning with genetic algorithm optimization. J Transl Med 2024; 22:353. [PMID: 38622716 PMCID: PMC11017668 DOI: 10.1186/s12967-024-05138-2] [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: 01/26/2024] [Accepted: 03/27/2024] [Indexed: 04/17/2024] Open
Abstract
Recent studies have increasingly revealed the connection between metabolic reprogramming and tumor progression. However, the specific impact of metabolic reprogramming on inter-patient heterogeneity and prognosis in lung adenocarcinoma (LUAD) still requires further exploration. Here, we introduced a cellular hierarchy framework according to a malignant and metabolic gene set, named malignant & metabolism reprogramming (MMR), to reanalyze 178,739 single-cell reference profiles. Furthermore, we proposed a three-stage ensemble learning pipeline, aided by genetic algorithm (GA), for survival prediction across 9 LUAD cohorts (n = 2066). Throughout the pipeline of developing the three stage-MMR (3 S-MMR) score, double training sets were implemented to avoid over-fitting; the gene-pairing method was utilized to remove batch effect; GA was harnessed to pinpoint the optimal basic learner combination. The novel 3 S-MMR score reflects various aspects of LUAD biology, provides new insights into precision medicine for patients, and may serve as a generalizable predictor of prognosis and immunotherapy response. To facilitate the clinical adoption of the 3 S-MMR score, we developed an easy-to-use web tool for risk scoring as well as therapy stratification in LUAD patients. In summary, we have proposed and validated an ensemble learning model pipeline within the framework of metabolic reprogramming, offering potential insights for LUAD treatment and an effective approach for developing prognostic models for other diseases.
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Affiliation(s)
- Xinti Sun
- Department of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Minyu Nong
- School of Clinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Fei Meng
- Department of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaojuan Sun
- Department of Oncology, Qingdao University Affiliated Hospital, Qingdao, Shandong, China
| | - Lihe Jiang
- School of Clinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Zihao Li
- Department of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Peng Zhang
- Department of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
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Xu T, Yin F, Shi K. TMEM158 functions as an oncogene and promotes lung adenocarcinoma progression through the PI3K/AKT pathway via interaction with TWIST1. Exp Cell Res 2024; 437:114010. [PMID: 38508329 DOI: 10.1016/j.yexcr.2024.114010] [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: 01/06/2024] [Revised: 03/15/2024] [Accepted: 03/17/2024] [Indexed: 03/22/2024]
Abstract
Lung adenocarcinoma (LUAD) is a common and deadly form of lung cancer, with high rates of metastasis and unsatisfactory clinical outcomes. Herein, we examined the influence of TMEM158 on the LUAD progression. A combination of bioinformatic analyses was used to assess the TMEM158 expression pattern, prognostic implications, and potential function in LUAD. The levels of TMEM158 and TWIST1 were evaluated in clinical samples from LUAD patients using Western blot analysis and qRT-PCR. To discover the function and underlying molecular pathways of TMEM158 in LUAD, we employed a combination of experimental approaches in vitro, such as flow cytometry analysis and colony formation, Co-IP, CCK-8, Transwell, and wound-healing assays. Elevated expression of TMEM158 in LUAD is associated with increased cancer aggressiveness and a poor prognosis. In vitro experiments demonstrated that high levels of TMEM158 promote cell proliferation, progression through the cell cycle, migration, and invasion while suppressing apoptosis. Knockdown of TMEM158 produced opposite effects. The underlying mechanism involves TMEM158 and TWIST1 directly interacting, stimulating the PI3K/AKT signaling pathway in LUAD cells. This investigation emphasizes the molecular functions of TMEM158 in LUAD progression and proposes targeting it as a promising treatment approach for managing LUAD.
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Affiliation(s)
- Tao Xu
- Anhui Medical University, Hefei, 230000, China; Department of Cardiothoracic Surgery, The First People's Hospital of Wuhu, Wuhu, 241000, China.
| | - Fang Yin
- Department of Cardiothoracic Surgery, The First People's Hospital of Wuhu, Wuhu, 241000, China.
| | - Kaihu Shi
- Anhui Medical University, Hefei, 230000, China; Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, 210028, China.
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4
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Thirumani L, Helan M, S V, Jamal Mohamed U, Vimal S, Madar IH. The Molecular Landscape of Lung Metastasis in Primary Head and Neck Squamous Cell Carcinomas. Cureus 2024; 16:e57497. [PMID: 38707175 PMCID: PMC11066729 DOI: 10.7759/cureus.57497] [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: 02/23/2024] [Accepted: 04/03/2024] [Indexed: 05/07/2024] Open
Abstract
Background Lung metastasis in head and neck cancer (HNC) patients is a critical concern, often indicating an advanced disease stage and a poor prognosis. This study explores the molecular complexities of such metastases, identifying specific genes and pathways that may serve as valuable targets for diagnosis and treatment. The findings underscore the potential for significantly improved patient outcomes through targeted therapeutic strategies. Methodology In this research, we systematically collected raw gene expression data from head and neck squamous cell carcinoma (HNSCC) and lung squamous cell carcinoma (LSCC). By comparing tumorous and normal gene expression profiles from paired patient samples, we identified differentially expressed genes (DEGs). Network analysis helped visualize protein interactions and pinpoint crucial hub genes. Through validation and comparison across several datasets, we identified common DEGs. Additionally, we employed Kaplan-Meier analysis and log-rank testing to examine the relationship between gene expression patterns and patient survival. Result The study identified 145 overlapping DEGs in both HNSCC and LSCC, which are crucial for cancer progression and linked to lung metastasis, offering vital targets for personalized therapy by identifying key genes affecting disease development and patient survival. Pathway analyses linked these to lung metastasis, while protein-protein interaction network construction and hub gene identification highlighted genes crucial for development and patient survival, offering targets for personalized therapy. Conclusion Identifying key genes and pathways in lung metastasis from HNC, this study highlights potential targets for enhanced diagnosis and therapy. It underscores the crucial role of molecular insights in driving forward personalized treatment approaches and improving patient outcomes.
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Affiliation(s)
- Logalakshmi Thirumani
- Multiomics and Precision Medicine Laboratory, Center for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, IND
| | - Mizpha Helan
- Multiomics and Precision Medicine Laboratory, Center for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, IND
| | - Vijayaraghavan S
- Multiomics and Precision Medicine Laboratory, Center for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, IND
| | - Umargani Jamal Mohamed
- Multiomics and Precision Medicine Laboratory, Center for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, IND
| | - Sugumar Vimal
- Biochemistry, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, IND
| | - Inamul Hasan Madar
- Multiomics and Precision Medicine Laboratory, Center for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, IND
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5
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Li B, Li X, Yang Q, Jiang Y, Zhang Q, Zhang J, Cui W, Xu F. Overexpression of SPP1 is a prognostic indicator of immune infiltration in lung adenocarcinoma. Aging (Albany NY) 2024; 16:2953-2977. [PMID: 38329443 PMCID: PMC10911343 DOI: 10.18632/aging.205526] [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: 09/13/2023] [Accepted: 01/03/2024] [Indexed: 02/09/2024]
Abstract
OBJECTIVE The extracellular phosphoprotein, secreted phosphoprotein 1 (SPP1), plays a crucial role in various tumors and regulating the immune system. This study aimed to evaluate its prognostic value and relationship to immune infiltration in lung adenocarcinoma (LUAD). METHODS In the TCGA and GEO datasets, the information on clinic and transcriptome analysis of SPP1 in non-small-cell lung cancer (NSCLC) was examined accordingly. The association of SPP1 expression with overall survival and clinicopathologic characteristics was investigated by univariate and multivariate analysis. CancerSEA database was utilized to investigate the role of SPP1 at the cellular level by single-cell analysis. Additionally, the CIBERSORT algorithm was utilized to assess the correlation among the immune cells that infiltrated. RESULTS NSCLC tissues exhibited a notable rise in SPP1 expression compared with that of normal tissues. Furthermore, the overexpression of SPP1 was substantially associated with clinicopathological features and unfavorable survival outcomes in individuals with LUAD, whereas no such correlation was observed in lung squamous cell carcinoma. Immune cells that infiltrate tumors and their corresponding genes were associated with SPP1 expression levels in LUAD. CONCLUSIONS SPP1 is a reliable indicator for assessing LUAD immune infiltration status and prognosis. With this approach, SPP1 can help earlier LUAD diagnosis and act as a possible immunotherapy target.
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Affiliation(s)
- Binbin Li
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Xue Li
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Qingfeng Yang
- Department of Pneumology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Yiyang Jiang
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Qianwen Zhang
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Jingtao Zhang
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Wenqiang Cui
- Department of Neurology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Fei Xu
- Department of Pneumology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China
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Lu H, Qian J, Cheng L, Shen Y, Chu T, Zhao C. Single-cell RNA-sequencing uncovers the dynamic changes of tumour immune microenvironment in advanced lung adenocarcinoma. BMJ Open Respir Res 2023; 10:e001878. [PMID: 38081768 PMCID: PMC10729175 DOI: 10.1136/bmjresp-2023-001878] [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: 06/08/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND The heterogeneity of lung adenocarcinoma (LUAD) plays a vital role in determining the development of cancer and therapeutic sensitivity and significantly hinders the clinical treatment of LUAD. OBJECTIVE To elucidate the cellular composition and reveal previously uncharacterised tumour microenvironment in LUAD using single-cell RNA-sequencing (scRNA-seq). METHODS Two scRNA-seq datasets with 106 829 high-quality cells from 34 patients including 11 normal, 9 early (stage I and II) and 14 advanced (stage III and IV) LUAD were integrated and clustered to explore diagnostic and therapeutic cell populations and their biomarkers for diverse stages of LUAD. Three independent bulk RNA-seq datasets were used to validate the results from scRNA-seq analysis. The expression of marker genes for specific cell types in early and advanced LUAD was verified by immunohistochemistry (IHC). RESULTS Comprehensive cluster analysis identified that S100P+ epithelial and SPP1+ macrophage, positively related to poor outcomes, were preferentially enriched in advanced stage. Although the accumulation of KLRB1+CD8+ T cell and IGHA1+/IGHG1+ plasma cell both significantly associated the favourable prognosis, we also found KLRB1+CD8+ T cell decreased in advanced stage while IGHA1+/IGHG1+ plasma cells were increased. Cell-cell communication analysis showed that SPP1+ macrophage could interact with most of CD8+ subclusters through SPP1-CD44 axis. Furthermore, based on three independent bulk RNA-seq datasets, we built risk model with nine marker genes for specific cell subtypes and conducted deconvolution analysis, both supporting our results from scRNA-seq data. We finally validated the expression of four marker genes in early and advanced LUAD by IHC. CONCLUSION Our analyses highlight the molecular dynamics of LUAD epithelial and microenvironment and provide new targets to improve LUAD therapy.
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Affiliation(s)
- Haijiao Lu
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jialin Qian
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Cheng
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yinchen Shen
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianqing Chu
- Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chaoxian Zhao
- Shanghai Cancer Institute, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- State Key Laboratory of Systems Medicine for Cancer, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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7
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Turanli B. Decoding Systems Biology of Inflammation Signatures in Cancer Pathogenesis: Pan-Cancer Insights from 12 Common Cancers. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2023; 27:483-493. [PMID: 37861711 DOI: 10.1089/omi.2023.0127] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Chronic inflammation is an important contributor to tumorigenesis in many tissues. However, the underlying mechanisms of inflammatory signaling in the tumor microenvironment are not yet fully understood in various cancers. Therefore, this study aimed to uncover the gene expression signatures of inflammation-associated proteins that lead to tumorigenesis, and with an eye to discovery of potential system biomarkers and novel drug candidates in oncology. Gene expression profiles associated with 12 common cancers (e.g., breast invasive carcinoma, colon adenocarcinoma, liver hepatocellular carcinoma, and prostate adenocarcinoma) from The Cancer Genome Atlas were retrieved and mapped to inflammation-related gene sets. Subsequently, the inflammation-associated differentially expressed genes (i-DEGs) were determined. The i-DEGs common in all cancers were proposed as tumor inflammation signatures (TIS) after pan-cancer analysis. A TIS, consisting of 45 proteins, was evaluated as a potential system biomarker based on its prognostic forecasting and secretion profiles in multiple tissues. In addition, i-DEGs for each cancer type were used as queries for drug repurposing. Narciclasine, parthenolide, and homoharringtonine were identified as potential candidates for drug repurposing. Biomarker candidates in relation to inflammation were identified such as KNG1, SPP1, and MIF. Collectively, these findings inform precision diagnostics development to distinguish individual cancer types, and can also pave the way for novel prognostic decision tools and repurposed drugs across multiple cancers. These new findings and hypotheses warrant further research toward precision/personalized medicine in oncology. Pan-cancer analysis of inflammatory mediators can open up new avenues for innovation in cancer diagnostics and therapeutics.
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Affiliation(s)
- Beste Turanli
- Department of Bioengineering, Faculty of Engineering, Marmara University, Istanbul, Türkiye
- Health Biotechnology Joint Research and Application Center of Excellence, Istanbul, Türkiye
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Yan Z, Hu X, Tang B, Deng F. Role of osteopontin in cancer development and treatment. Heliyon 2023; 9:e21055. [PMID: 37867833 PMCID: PMC10587537 DOI: 10.1016/j.heliyon.2023.e21055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/06/2023] [Accepted: 10/13/2023] [Indexed: 10/24/2023] Open
Abstract
Osteopontin (OPN) is a multifunctional protein secreted intracellularly and extracellularly by various cell types, including NK cells, macrophages, osteoblasts, T cells, and cancer cells. Owing to its diverse distribution, OPN plays a role in cell proliferation, stem-cell-like properties, epithelial-mesenchymal transformation, glycolysis, angiogenesis, fibrosis, invasion, and metastasis. In this review, we discuss recent findings, interpret representative studies on OPN expression in cancer, clarify that elevated OPN levels are observed in multiple cancer types (including colorectal, breast, lung, and liver cancer), and explore how OPN-macrophage interactions shape the tumor microenvironment. We also summarize progress in OPN research with regard to tumor therapy, which can facilitate the development of novel anti-tumor treatment strategies.
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Affiliation(s)
- Zhihua Yan
- School of Clinical Medicine, Chengdu Medical College, Chengdu, 610500, China
| | - Xue Hu
- School of Basic Medical Science, Chengdu Medical College, Chengdu, 610500, China
| | - Bin Tang
- Clinical Medical College and the First Affiliated Hospital of Chengdu Medical College, Chengdu, 610500, China
| | - Fengmei Deng
- School of Basic Medical Science, Chengdu Medical College, Chengdu, 610500, China
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9
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Hou L, Chen X, Qiu G, Qi X, Zou Y, He J, Bu H. Cerebrospinal fluid exosomal protein alterations via proteomic analysis of NSCLC with leptomeningeal carcinomatosis. J Neurooncol 2023; 164:367-376. [PMID: 37656377 PMCID: PMC10522761 DOI: 10.1007/s11060-023-04428-x] [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: 07/18/2023] [Accepted: 08/17/2023] [Indexed: 09/02/2023]
Abstract
PURPOSE Leptomeningeal carcinomatosis (LC) is a rare complication of non-small cell lung cancer (NSCLC) with highly mortality. Cerebrospinal fluid (CSF) as a special kind of tumor microenvironment (TME) better represents alterations than plasma. However, the clinical value of protein profiles of exosome in CSF as liquid biopsy remains unclear. METHODS In this study, CSF samples of NSCLC patients with (LC group) or without (NSCLC group) LC were collected and compared to patients without tumors (normal group). CSF exosomes were isolated by ultracentrifugation and protein profiles were performed by label-free proteomics. Differentially expressed proteins (DEPs) were detected by bioinformatics tools and verified by parallel reaction monitoring (PRM). RESULTS A total of 814 proteins were detected. Bioinformatics analysis revealed their shared function in the complement activation, extracellular region, and complement and coagulation cascades. Between LC and NSCLC group, 72 DEPs were found among which FN1 demonstrated the highest betweenness centrality (BC) after protein-protein interaction network analysis. CONCLUSION We investigated the application of label free and PRM based proteomics to detect key proteins related to LC. FN1 may serve as potential indicator to classify LC and NSCLC. Extracellular matrix (ECM) and epithelial-mesenchymal transition (EMT) are important in the process of LC. These data is promising for early prediction and diagnosis of LC.
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Affiliation(s)
- Lan Hou
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China
- Department of Neurology, Baoding No.1 Central Hospital, Baoding, China
| | - Xin Chen
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China
| | - Gang Qiu
- Secondary Department of Oncology, Hebei General Hospital, Shijiazhuang, China
| | - Xuejiao Qi
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China
| | - Yueli Zou
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China
| | - Junying He
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China
| | - Hui Bu
- Department of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, 050000, China.
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10
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Zhang X, Ma Y, Liu K, Chen L, Ding L, Ma W, Chen B. Risk prediction for dermatomyositis-associated hepatocellular carcinoma. BMC Bioinformatics 2023; 24:222. [PMID: 37259059 DOI: 10.1186/s12859-023-05353-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 05/25/2023] [Indexed: 06/02/2023] Open
Abstract
OBJECTIVE To explore dermatomyositis signature genes as potential biomarkers of hepatocellular carcinoma and their associated molecular regulatory mechanisms. METHODS Based on the mRNA-Seq data of dermatomyositis and hepatocellular carcinoma in public databases, five dermatomyositis signature genes were screened by LASSO regression analysis and support vector machine (SVM) algorithm, and their biological functions in dermatomyositis with hepatocellular carcinoma were investigated, and a nomogram risk prediction model for hepatocellular carcinoma was constructed and its predictive efficiency was initially evaluated. The immune profile in hepatocellular carcinoma was examined based on the CIBERSORT and ssGSEA algorithms, and the correlation between five dermatomyositis signature genes and tumor immune cell infiltration and immune checkpoints in hepatocellular carcinoma was investigated. RESULTS The expression levels of five dermatomyositis signature genes were significantly altered in hepatocellular carcinoma and showed good diagnostic efficacy for hepatocellular carcinoma, suggesting that they may be potential predictive targets for hepatocellular carcinoma, and the risk prediction model based on five dermatomyositis signature genes showed good risk prediction efficacy for hepatocellular carcinoma and has good potential for clinical application. In addition, we also found that the upregulation of SPP1 expression may activate the PI3K/ART signaling pathway through integrin-mediated activation, which in turn regulates the development and progression of hepatocellular carcinoma. CONCLUSION LY6E, IFITM1, GADD45A, MT1M, and SPP1 are potential predictive targets for new-onset hepatocellular carcinoma in patients with dermatomyositis, and the upregulation of SPP1 expression may activate the PI3K/ART signaling pathway through the mediation of integrins to promote the development and progression of hepatocellular carcinoma.
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Affiliation(s)
| | - Yongxin Ma
- Ningxia Medical University, Yinchuan, 750004, China
| | - Kejun Liu
- Ningxia Medical University, Yinchuan, 750004, China
- Department of Hepatobiliary Surgery, General Hospital of Ningxia Medical University, Yinchuan, 750004, China
- Ningxia Hepatobiliary and Pancreatic Surgical Diseases Clinical Medical Research Center, Yinchuan, 750004, China
| | - Long Chen
- Ningxia Medical University, Yinchuan, 750004, China
| | - Lin Ding
- Ningxia Medical University, Yinchuan, 750004, China
| | - Weihu Ma
- Ningxia Medical University, Yinchuan, 750004, China
| | - Bendong Chen
- Ningxia Medical University, Yinchuan, 750004, China.
- Department of Hepatobiliary Surgery, General Hospital of Ningxia Medical University, Yinchuan, 750004, China.
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11
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Shin D, Cho KH. Critical transition and reversion of tumorigenesis. Exp Mol Med 2023; 55:692-705. [PMID: 37009794 PMCID: PMC10167317 DOI: 10.1038/s12276-023-00969-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 04/04/2023] Open
Abstract
Cancer is caused by the accumulation of genetic alterations and therefore has been historically considered to be irreversible. Intriguingly, several studies have reported that cancer cells can be reversed to be normal cells under certain circumstances. Despite these experimental observations, conceptual and theoretical frameworks that explain these phenomena and enable their exploration in a systematic way are lacking. In this review, we provide an overview of cancer reversion studies and describe recent advancements in systems biological approaches based on attractor landscape analysis. We suggest that the critical transition in tumorigenesis is an important clue for achieving cancer reversion. During tumorigenesis, a critical transition may occur at a tipping point, where cells undergo abrupt changes and reach a new equilibrium state that is determined by complex intracellular regulatory events. We introduce a conceptual framework based on attractor landscapes through which we can investigate the critical transition in tumorigenesis and induce its reversion by combining intracellular molecular perturbation and extracellular signaling controls. Finally, we present a cancer reversion therapy approach that may be a paradigm-changing alternative to current cancer cell-killing therapies.
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Affiliation(s)
- Dongkwan Shin
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
- Reasearch Institute, National Cancer Center, Goyang, 10408, Republic of Korea
| | - Kwang-Hyun Cho
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
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Kim K, Lee J, Lee JY, Yong SH, Kim EY, Jung JY, Kang YA, Park MS, Kim YS, Oh CM, Lee SH. Clinical features and molecular genetics associated with brain metastasis in suspected early-stage non-small cell lung cancer. Front Oncol 2023; 13:1148475. [PMID: 37139160 PMCID: PMC10150586 DOI: 10.3389/fonc.2023.1148475] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/03/2023] [Indexed: 05/05/2023] Open
Abstract
Introduction Regarding whether brain magnetic resonance imaging (MRI) should be routine in patients with suspected early-stage lung cancer, guideline recommendations are inconsistent. Therefore, we performed this study to evaluate the incidence of and risk factors for brain metastasis (BM) in patients with suspected early-stage non-small-cell lung cancer (NSCLC). Methods A review of the medical charts of consecutive NSCLC patients diagnosed between January 2006 and May 2020 was performed. We identified 1,382 NSCLC patients with clinical staging of T1/2aN0M0 (excluding BM), and investigated the incidence, clinical predictors, and prognosis of BM in the cohort. We also performed RNA-sequencing differential expression analysis using transcriptome of 8 patients, using DESeq2 package (version 1.32.0) with R (version 4.1.0). Results Among 1,382 patients, nine hundred forty-nine patients (68.7%) underwent brain MRI during staging, and 34 patients (3.6%) were shown to have BM. Firth's bias-reduced logistic regression showed that tumor size (OR 1.056; 95% CI 1.009-1.106, p=0.018) was the only predictor of BM, and pathologic type was not a predictor of BM in our cohort (p>0.05). The median overall survival for patients with brain metastasis was 5.5 years, which is better than previously reported in the literature. RNA-sequencing differential expression analysis revealed the top 10 significantly upregulated genes and top 10 significantly downregulated genes. Among the genes involved in BM, Unc-79 homolog, non-selective sodium leak channel (NALCN) channel complex subunit (UNC79) was the most highly expressed gene in the lung adenocarcinoma tissues from the BM group, and an in vitro assay using A549 cells revealed that the NALCN inhibitor suppressed lung cancer cell proliferation and migration. Conclusions Given the incidence and favorable outcome of BM in patients with suspected early-stage NSCLC, selective screening with brain MRI may be considered, especially in patients with high-risk features.
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Affiliation(s)
- Kangjoon Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jibeom Lee
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Jeong-Yun Lee
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Seung Hyun Yong
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eun Young Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ji Ye Jung
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Ae Kang
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Moo Suk Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Sam Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chang-Myung Oh
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
- *Correspondence: Chang-Myung Oh, ; Sang Hoon Lee,
| | - Sang Hoon Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
- *Correspondence: Chang-Myung Oh, ; Sang Hoon Lee,
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