1
|
Liu B, Zheng H, Ma G, Shen H, Pang Z, Huang G, Song Q, Wang G, Du J. Involvement of ICAM5 in Carcinostasis Effects on LUAD Based on the ROS1-Related Prognostic Model. J Inflamm Res 2024; 17:6583-6602. [PMID: 39318995 PMCID: PMC11421455 DOI: 10.2147/jir.s475088] [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: 06/25/2024] [Accepted: 09/07/2024] [Indexed: 09/26/2024] Open
Abstract
Background Lung cancer is the most common type of cancer in the world. In lung adenocarcinoma (LUAD), studies on receptor tyrosine kinase ROS proto-oncogene 1 (ROS1) have mainly focused on the oncogenic effects of its fusion mutations, whereas ROS1 has been reported to be aberrantly expressed in a variety of cancers and can extensively regulate the growth, survival, and proliferation of tumor cells through multiple signaling pathways. The comprehensive analysis of ROS1 expression has not been fully investigated regarding its predictive value for LUAD patients. Methods Gene expression profiles collected from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases were used to build and validate prognostic risk models. The association of ROS1 with overall survival and the immune landscape was obtained from the Tumor Immune Estimation Resource (TIMER) database. The following analyses were performed using the R package to determine the model's validity: pathway dysregulation analysis, gene set enrichment analysis, Gene Oncology analysis, immune invasion analysis, chemotherapy, radiotherapy, and immunotherapy sensitivity analysis. Finally, we conducted a pan-cancer analysis and performed in vitro experiments to explore the regulatory role of intercellular adhesion molecule 5 (ICAM5) in the progression of LUAD. Results We constructed a 17-gene model that categorized patients into two risk groups. The model had predictive accuracy for tumor prognosis and was specific for patients with high ROS1 expression. Comprehensive analysis showed that patients in the high-risk group were characterized by marked dysregulation of multiple pathways (eg, unfolded protein response), immune suppression of the tumor microenvironment, and poor benefit from immunotherapy and radiotherapy compared with patients in the low-risk group. PLX4720 may be a suitable treatment for the high-risk patient population. The ICAM5 gene has been demonstrated to inhibit the proliferation, cell cycle, invasion, and migration of LUAD cells. Conclusion We constructed a 17-gene prognostic risk model and found differences in immune-related cells, biological processes, and prognosis among patients in different risk groups based on the correlation between ROS1 and immunity. Personalized therapy may play an essential role in treatment. We further investigated the role of ICAM5 in inhibiting the malignant bioactivity of LUAD cells.
Collapse
Affiliation(s)
- Baoliang Liu
- Department of Thoracic Surgery, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China
| | - Haotian Zheng
- Department of Thoracic Surgery, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China
| | - Guoyuan Ma
- Department of Thoracic Surgery, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China
| | - Hongchang Shen
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China
| | - Zhaofei Pang
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China
| | - Gemu Huang
- Research and Development Department, Amoy Diagnostics Co., LTD., Xiamen, Fujian, People's Republic of China
| | - Qingtao Song
- Research and Development Department, Amoy Diagnostics Co., LTD., Xiamen, Fujian, People's Republic of China
| | - Guanghui Wang
- Department of Thoracic Surgery, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China
| | - Jiajun Du
- Department of Thoracic Surgery, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China
| |
Collapse
|
2
|
Zhao S, Zhang P, Niu S, Xie J, Liu Y, Liu Y, Zhao N, Cheng C, Lu P. Targeting nucleotide metabolic pathways in colorectal cancer by integrating scRNA-seq, spatial transcriptome, and bulk RNA-seq data. Funct Integr Genomics 2024; 24:72. [PMID: 38594466 PMCID: PMC11004054 DOI: 10.1007/s10142-024-01356-5] [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: 02/21/2024] [Revised: 03/21/2024] [Accepted: 04/02/2024] [Indexed: 04/11/2024]
Abstract
BACKGROUND Colorectal cancer is a malignant tumor of the digestive system originating from abnormal cell proliferation in the colon or rectum, often leading to gastrointestinal symptoms and severe health issues. Nucleotide metabolism, which encompasses the synthesis of DNA and RNA, is a pivotal cellular biochemical process that significantly impacts both the progression and therapeutic strategies of colorectal cancer METHODS: For single-cell RNA sequencing (scRNA-seq), five functions were employed to calculate scores related to nucleotide metabolism. Cell developmental trajectory analysis and intercellular interaction analysis were utilized to explore the metabolic characteristics and communication patterns of different epithelial cells. These findings were further validated using spatial transcriptome RNA sequencing (stRNA-seq). A risk model was constructed using expression profile data from TCGA and GEO cohorts to optimize clinical decision-making. Key nucleotide metabolism-related genes (NMRGs) were functionally validated by further in vitro experiments. RESULTS In both scRNA-seq and stRNA-seq, colorectal cancer (CRC) exhibited unique cellular heterogeneity, with myeloid cells and epithelial cells in tumor samples displaying higher nucleotide metabolism scores. Analysis of intercellular communication revealed enhanced signaling pathways and ligand-receptor interactions between epithelial cells with high nucleotide metabolism and fibroblasts. Spatial transcriptome sequencing confirmed elevated nucleotide metabolism states in the core region of tumor tissue. After identifying differentially expressed NMRGs in epithelial cells, a risk prognostic model based on four genes effectively predicted overall survival and immunotherapy outcomes in patients. High-risk group patients exhibited an immunosuppressive microenvironment and relatively poorer prognosis and responses to chemotherapy and immunotherapy. Finally, based on data analysis and a series of cellular functional experiments, ACOX1 and CPT2 were identified as novel therapeutic targets for CRC. CONCLUSION In this study, a comprehensive analysis of NMRGs in CRC was conducted using a combination of single-cell sequencing, spatial transcriptome sequencing, and high-throughput data. The prognostic model constructed with NMRGs shows potential as a standalone prognostic marker for colorectal cancer patients and may significantly influence the development of personalized treatment approaches for CRC.
Collapse
Affiliation(s)
- Songyun Zhao
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
- Department of Neurosurgery, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Pengpeng Zhang
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Sen Niu
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
- Department of General Surgery, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Jiaheng Xie
- Department of Plastic Surgery, Xiangya Hospital, Central South University, Changsha, China
| | - Yuankun Liu
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
- Department of Neurosurgery, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Yuan Liu
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
- Department of General Surgery, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Ning Zhao
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
| | - Chao Cheng
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China.
- Department of Neurosurgery, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
| | - Peihua Lu
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China.
- Department of Clinical Research Center, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
| |
Collapse
|
3
|
Papavassiliou AG, Delle Cave D. Novel Therapeutic Approaches for Colorectal Cancer Treatment. Int J Mol Sci 2024; 25:2228. [PMID: 38396903 PMCID: PMC10889277 DOI: 10.3390/ijms25042228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024] Open
Abstract
According to GLOBOCAN 2020 data, colorectal cancer (CRC) represents the third most common malignancy and the second most deadly cancer worldwide [...].
Collapse
Affiliation(s)
- Athanasios G. Papavassiliou
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - Donatella Delle Cave
- Institute of Genetics and Biophysics ‘Adriano Buzzati-Traverso’, CNR, 80131 Naples, Italy
| |
Collapse
|
4
|
Santos LDS, Silva VR, de Castro MVL, Dias RB, Valverde LDF, Rocha CAG, Soares MBP, Quadros CA, Dos Santos ER, Oliveira RMM, Carlos RM, Nogueira PCL, Bezerra DP. New ruthenium-xanthoxylin complex eliminates colorectal cancer stem cells by targeting the heat shock protein 90 chaperone. Cell Death Dis 2023; 14:832. [PMID: 38102125 PMCID: PMC10724293 DOI: 10.1038/s41419-023-06330-w] [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: 03/27/2023] [Revised: 11/14/2023] [Accepted: 11/23/2023] [Indexed: 12/17/2023]
Abstract
In this work, we describe a novel ruthenium-xanthoxylin complex, [Ru(phen)2(xant)](PF6) (RXC), that can eliminate colorectal cancer (CRC) stem cells by targeting the chaperone Hsp90. RXC exhibits potent cytotoxicity in cancer cell lines and primary cancer cells, causing apoptosis in HCT116 CRC cells, as observed by cell morphology, YO-PRO-1/PI staining, internucleosomal DNA fragmentation, mitochondrial depolarization, and PARP cleavage (Asp214). Additionally, RXC can downregulate the HSP90AA1 and HSP90B1 genes and the expression of HSP90 protein, as well as the expression levels of its downstream/client elements Akt1, Akt (pS473), mTOR (pS2448), 4EBP1 (pT36/pT45), GSK-3β (pS9), and NF-κB p65 (pS529), implying that these molecular chaperones can be molecular targets for RXC. Moreover, this compound inhibited clonogenic survival, the percentage of the CRC stem cell subpopulation, and colonosphere formation, indicating that RXC can eliminate CRC stem cells. RXC reduced cell migration and invasion, decreased vimentin and increased E-cadherin expression, and induced an autophagic process that appeared to be cytoprotective, as autophagy inhibitors enhanced RXC-induced cell death. In vivo studies showed that RXC inhibits tumor progression and experimental metastasis in mice with CRC HCT116 cell xenografts. Taken together, these results highlight the potential of the ruthenium complex RXC in CRC therapy with the ability to eliminate CRC stem cells by targeting the chaperone Hsp90.
Collapse
Affiliation(s)
- Luciano de S Santos
- Gonçalo Moniz Institute, Oswaldo Cruz Foundation (IGM-FIOCRUZ/BA), Salvador, BA, 40296-710, Brazil
| | - Valdenizia R Silva
- Gonçalo Moniz Institute, Oswaldo Cruz Foundation (IGM-FIOCRUZ/BA), Salvador, BA, 40296-710, Brazil
| | - Maria V L de Castro
- Gonçalo Moniz Institute, Oswaldo Cruz Foundation (IGM-FIOCRUZ/BA), Salvador, BA, 40296-710, Brazil
| | - Rosane B Dias
- Gonçalo Moniz Institute, Oswaldo Cruz Foundation (IGM-FIOCRUZ/BA), Salvador, BA, 40296-710, Brazil
- Department of Propedeutics, School of Dentistry of the Federal University of Bahia, Salvador, BA, 40110-909, Brazil
| | - Ludmila de F Valverde
- Gonçalo Moniz Institute, Oswaldo Cruz Foundation (IGM-FIOCRUZ/BA), Salvador, BA, 40296-710, Brazil
| | - Clarissa A G Rocha
- Gonçalo Moniz Institute, Oswaldo Cruz Foundation (IGM-FIOCRUZ/BA), Salvador, BA, 40296-710, Brazil
- Department of Propedeutics, School of Dentistry of the Federal University of Bahia, Salvador, BA, 40110-909, Brazil
| | - Milena B P Soares
- Gonçalo Moniz Institute, Oswaldo Cruz Foundation (IGM-FIOCRUZ/BA), Salvador, BA, 40296-710, Brazil
- SENAI Institute of Innovation (ISI) in Health Advanced Systems, University Center SENAI/CIMATEC, Salvador, BA, 41650-010, Brazil
| | - Claudio A Quadros
- São Rafael Hospital, Rede D'Or/São Luiz, Salvador, BA, 41253-190, Brazil
- Bahia State University, Salvador, BA, 41150-000, Brazil
| | - Edjane R Dos Santos
- Institute of Natural, Human and Social Sciences, Federal University of Mato Grosso, Sinop, MT, 78557-267, Brazil
| | - Regina M M Oliveira
- Coordination of Science and Technology, Balsas Science Center, Federal University of Maranhão, Balsas, MA, 65800-000, Brazil
| | - Rose M Carlos
- Department of Chemistry, Federal University of São Carlos, São Carlos, SP, 13561-901, Brazil
| | - Paulo C L Nogueira
- Department of Chemistry, Federal University of Sergipe, São Cristóvão, SE, 49100-000, Brazil
| | - Daniel P Bezerra
- Gonçalo Moniz Institute, Oswaldo Cruz Foundation (IGM-FIOCRUZ/BA), Salvador, BA, 40296-710, Brazil.
| |
Collapse
|
5
|
Zhang Y, Liu Z, Li J, Wu B, Li X, Duo M, Xu H, Liu L, Su X, Duan X, Luo P, Zhang J, Li Z. Oncogenic pathways refine a new perspective on the classification of hepatocellular carcinoma. Cell Signal 2023; 111:110890. [PMID: 37714446 DOI: 10.1016/j.cellsig.2023.110890] [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: 07/07/2023] [Revised: 09/03/2023] [Accepted: 09/12/2023] [Indexed: 09/17/2023]
Abstract
BACKGROUND Genetic alterations in oncogenic pathways are critical for cancer initiation, development, and treatment resistance. However, studies are limited regarding pathways correlated with prognosis, sorafenib, and transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma (HCC). METHODS In this study, 1928 patients from 11 independent datasets and a clinical in-house cohort were screened to explore the relationships among canonical pathway alterations in HCC patients. The molecular mechanisms, biological functions, immune landscape, and clinical outcomes among three heterogeneous phenotypes were further explored. RESULTS We charted the detailed landscape of pathway alterations in the TCGA-LIHC cohort, screened three pivotal pathways (p53, PI3K, and WNT), identified co-occurrence patterns and mutual exclusively, and stratified patients into three altered-pathway dominant phenotypes (ADPs). P53|PI3K ADP characterized by genomic instability (e.g., highest TMB, FGA, FGG, and FGL) indicated an unfavorable prognosis. While, patients in WNT ADP suggested a median prognosis, enhanced immune activation, and sensitivity to PD-L1 therapy. Remarkably, sorafenib and TACE exhibited efficacy for patients in WNT ADP and low frequent alteration phenotype (LFP). Additionally, ADP could work independently of common clinical traits (e.g., AJCC stage) and previous molecular classifications (e.g., iCluster, serum biomarkers). CONCLUSIONS ADP provides a new perspective for identifying patients at high risk of recurrence and could optimize precision treatment to improve the clinical outcomes in HCC.
Collapse
Affiliation(s)
- Yuyuan Zhang
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Institute of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan 450052, China
| | - Zaoqu Liu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China; State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Pathophysiology, Peking Union Medical College, Beijing 100730, China
| | - Jie Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Institute of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan 450052, China
| | - Bailu Wu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Institute of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan 450052, China
| | - Xin Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Institute of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan 450052, China
| | - Mengjie Duo
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Hui Xu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Institute of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan 450052, China
| | - Long Liu
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | | | - Xuhua Duan
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Institute of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan 450052, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zhen Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Institute of Zhengzhou University, Zhengzhou, Henan 450052, China; Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan 450052, China.
| |
Collapse
|
6
|
Brisset M, Mehlen P, Meurette O, Hollande F. Notch receptor/ligand diversity: contribution to colorectal cancer stem cell heterogeneity. Front Cell Dev Biol 2023; 11:1231416. [PMID: 37860822 PMCID: PMC10582728 DOI: 10.3389/fcell.2023.1231416] [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: 05/30/2023] [Accepted: 09/21/2023] [Indexed: 10/21/2023] Open
Abstract
Cancer cell heterogeneity is a key contributor to therapeutic failure and post-treatment recurrence. Targeting cell subpopulations responsible for chemoresistance and recurrence seems to be an attractive approach to improve treatment outcome in cancer patients. However, this remains challenging due to the complexity and incomplete characterization of tumor cell subpopulations. The heterogeneity of cells exhibiting stemness-related features, such as self-renewal and chemoresistance, fuels this complexity. Notch signaling is a known regulator of cancer stem cell (CSC) features in colorectal cancer (CRC), though the effects of its heterogenous signaling on CRC cell stemness are only just emerging. In this review, we discuss how Notch ligand-receptor specificity contributes to regulating stemness, self-renewal, chemoresistance and cancer stem cells heterogeneity in CRC.
Collapse
Affiliation(s)
- Morgan Brisset
- Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Melbourne, VIC, Australia
- Centre for Cancer Research, The University of Melbourne, Melbourne, VIC, Australia
- Cancer Cell Death Laboratory, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Lyon, France
| | - Patrick Mehlen
- Cancer Cell Death Laboratory, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Lyon, France
| | - Olivier Meurette
- Cancer Cell Death Laboratory, Centre de Recherche en Cancérologie de Lyon, INSERM U1052-CNRS UMR5286, Centre Léon Bérard, Université de Lyon, Lyon, France
| | - Frédéric Hollande
- Department of Clinical Pathology, Victorian Comprehensive Cancer Centre, The University of Melbourne, Melbourne, VIC, Australia
- Centre for Cancer Research, The University of Melbourne, Melbourne, VIC, Australia
| |
Collapse
|
7
|
Hiranuma K, Asami Y, Kato MK, Murakami N, Shimada Y, Matsuda M, Yazaki S, Fujii E, Sudo K, Kuno I, Komatsu M, Hamamoto R, Makinoshima H, Matsumoto K, Ishikawa M, Kohno T, Terao Y, Itakura A, Yoshida H, Shiraishi K, Kato T. Rare FGFR fusion genes in cervical cancer and transcriptome-based subgrouping of patients with a poor prognosis. Cancer Med 2023; 12:17835-17848. [PMID: 37537783 PMCID: PMC10524028 DOI: 10.1002/cam4.6415] [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: 03/09/2023] [Revised: 06/25/2023] [Accepted: 07/26/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Although cervical cancer is often characterized as preventable, its incidence continues to increase in low- and middle-income countries, underscoring the need to develop novel therapeutics for this disease.This study assessed the distribution of fusion genes across cancer types and used an RNA-based classification to divide cervical cancer patients with a poor prognosis into subgroups. MATERIAL AND METHODS RNA sequencing of 116 patients with cervical cancer was conducted. Fusion genes were extracted using StarFusion program. To identify a high-risk group for recurrence, 65 patients who received postoperative adjuvant therapy were subjected to non-negative matrix factorization to identify differentially expressed genes between recurrent and nonrecurrent groups. RESULTS We identified three cases with FGFR3-TACC3 and one with GOPC-ROS1 fusion genes as potential targets. A search of publicly available data from cBioPortal (21,789 cases) and the Center for Cancer Genomics and Advanced Therapeutics (32,608 cases) showed that the FGFR3 fusion is present in 1.5% and 0.6% of patients with cervical cancer, respectively. The frequency of the FGFR3 fusion gene was higher in cervical cancer than in other cancers, regardless of ethnicity. Non-negative matrix factorization identified that the patients were classified into four Basis groups. Pathway enrichment analysis identified more extracellular matrix kinetics dysregulation in Basis 3 and more immune system dysregulation in Basis 4 than in the good prognosis group. CIBERSORT analysis showed that the fraction of M1 macrophages was lower in the poor prognosis group than in the good prognosis group. CONCLUSIONS The distribution of FGFR fusion genes in patients with cervical cancer was determined by RNA-based analysis and used to classify patients into clinically relevant subgroups.
Collapse
Affiliation(s)
- Kengo Hiranuma
- Division of Genome BiologyNational Cancer Center Research InstituteTokyoJapan
- Department of Obstetrics and GynecologyJuntendo University Faculty of MedicineTokyoJapan
| | - Yuka Asami
- Division of Genome BiologyNational Cancer Center Research InstituteTokyoJapan
- Department of Obstetrics and GynecologyShowa University School of MedicineTokyoJapan
| | - Mayumi Kobayashi Kato
- Division of Genome BiologyNational Cancer Center Research InstituteTokyoJapan
- Department of GynecologyNational Cancer Center HospitalTokyoJapan
| | - Naoya Murakami
- Department of Radiation OncologyNational Cancer Center HospitalTokyoJapan
| | - Yoko Shimada
- Division of Genome BiologyNational Cancer Center Research InstituteTokyoJapan
| | - Maiko Matsuda
- Division of Genome BiologyNational Cancer Center Research InstituteTokyoJapan
| | - Shu Yazaki
- Division of Genome BiologyNational Cancer Center Research InstituteTokyoJapan
- Department of Medical OncologyNational Cancer Center HospitalTokyoJapan
| | - Erisa Fujii
- Division of Genome BiologyNational Cancer Center Research InstituteTokyoJapan
- Department of GynecologyNational Cancer Center HospitalTokyoJapan
| | - Kazuki Sudo
- Department of Medical OncologyNational Cancer Center HospitalTokyoJapan
| | - Ikumi Kuno
- Department of GynecologyNational Cancer Center HospitalTokyoJapan
| | - Masaaki Komatsu
- Division of Medical AI Research and DevelopmentNational Cancer Center Research InstituteTokyoJapan
- Cancer Translational Research TeamRIKEN Center for Advanced Intelligence ProjectTokyoJapan
| | - Ryuji Hamamoto
- Division of Medical AI Research and DevelopmentNational Cancer Center Research InstituteTokyoJapan
- Cancer Translational Research TeamRIKEN Center for Advanced Intelligence ProjectTokyoJapan
| | | | - Koji Matsumoto
- Department of Obstetrics and GynecologyShowa University School of MedicineTokyoJapan
| | - Mitsuya Ishikawa
- Department of GynecologyNational Cancer Center HospitalTokyoJapan
| | - Takashi Kohno
- Division of Genome BiologyNational Cancer Center Research InstituteTokyoJapan
| | - Yasuhisa Terao
- Department of Obstetrics and GynecologyJuntendo University Faculty of MedicineTokyoJapan
| | - Atsuo Itakura
- Department of Obstetrics and GynecologyJuntendo University Faculty of MedicineTokyoJapan
| | - Hiroshi Yoshida
- Department of Diagnostic PathologyNational Cancer Center HospitalTokyoJapan
| | - Kouya Shiraishi
- Division of Genome BiologyNational Cancer Center Research InstituteTokyoJapan
- Department of Clinical GenomicsNational Cancer Center Research InstituteTokyoJapan
| | - Tomoyasu Kato
- Department of GynecologyNational Cancer Center HospitalTokyoJapan
| |
Collapse
|
8
|
Romero-Garmendia I, Garcia-Etxebarria K. From Omic Layers to Personalized Medicine in Colorectal Cancer: The Road Ahead. Genes (Basel) 2023; 14:1430. [PMID: 37510334 PMCID: PMC10379575 DOI: 10.3390/genes14071430] [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: 05/25/2023] [Revised: 07/05/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
Colorectal cancer is a major health concern since it is a highly diagnosed cancer and the second cause of death among cancers. Thus, the most suitable biomarkers for its diagnosis, prognosis, and treatment have been studied to improve and personalize the prevention and clinical management of colorectal cancer. The emergence of omic techniques has provided a great opportunity to better study CRC and make personalized medicine feasible. In this review, we will try to summarize how the analysis of the omic layers can be useful for personalized medicine and the existing difficulties. We will discuss how single and multiple omic layer analyses have been used to improve the prediction of the risk of CRC and its outcomes and how to overcome the challenges in the use of omic layers in personalized medicine.
Collapse
Affiliation(s)
- Irati Romero-Garmendia
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country (Universidad del País Vasco/Euskal Herriko Unibertsitatea), 48940 Leioa, Spain
| | - Koldo Garcia-Etxebarria
- Biodonostia, Gastrointestinal Genetics Group, 20014 San Sebastián, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), 08036 Barcelona, Spain
| |
Collapse
|
9
|
Zhang Y, Liu Z, Li J, Li X, Duo M, Weng S, Lv P, Jiang G, Wang C, Li Y, Liu S, Li Z. Prognosis and Personalized Treatment Prediction in Different Mutation-Signature Hepatocellular Carcinoma. J Hepatocell Carcinoma 2023; 10:241-255. [PMID: 36815095 PMCID: PMC9939670 DOI: 10.2147/jhc.s398431] [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: 12/03/2022] [Accepted: 02/07/2023] [Indexed: 02/16/2023] Open
Abstract
Introduction Mutation patterns have been extensively explored to decipher the etiologies of hepatocellular carcinoma (HCC). However, the study and potential clinical role of mutation patterns to stratify high-risk patients and optimize precision therapeutic strategies remain elusive in HCC. Methods Using exon-sequencing data in public (n=362) and in-house (n=30) cohorts, mutation signatures were extracted to decipher relationships with the etiology and prognosis in HCC. The proteomics (n=159) and cell-line transcriptome data (n=1019) were collected to screen the implication of sensitive drugs. A novel multi-step machine-learning framework was then performed to construct a classification predictor, including recognizing stable reversed gene pairs, establishing a robust prediction model, and validating the robustness of the predictor in five independent cohorts (n=900). Results Two heterogeneous mutation signature clusters were identified, and a high-risk prognosis cluster was recognized for further analysis. Notably, mutation signature cluster 1 (MSC1) was featured by activated anti-tumor immune and metabolism dysfunctional states, higher genomic instability (high TMB, SNV neoantigen, indel neoantigens, and total neoantigens), and a dismal prognosis. Notably, MSC performed as an independent risk factor than clinical traits (eg, stage, vascular invasion). Additionally, afatinib and canertinib were recognized which might have potential therapeutic implications in MSC1, and the targets of these drugs presented a higher expression in both gene and protein levels in HCC. Discussion Our studies may provide a promising platform for improving prognosis and tailoring therapy in HCC.
Collapse
Affiliation(s)
- Yuyuan Zhang
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Jie Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Xin Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Mengjie Duo
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Siyuan Weng
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Peijie Lv
- Department of Radiology, Zhengzhou University First Affiliated Hospital, Zhengzhou, Henan, People’s Republic of China
| | - Guozhong Jiang
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Caihong Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Yan Li
- Department Cardiology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Shichao Liu
- Department Cardiology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Zhen Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China,Correspondence: Zhen Li, Email
| |
Collapse
|
10
|
Zhao S, Zhang X, Gao F, Chi H, Zhang J, Xia Z, Cheng C, Liu J. Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer. Front Endocrinol (Lausanne) 2023; 14:1145797. [PMID: 36950684 PMCID: PMC10025496 DOI: 10.3389/fendo.2023.1145797] [Citation(s) in RCA: 49] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 02/10/2023] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND Ovarian cancer (OC) is one of the most common and most malignant gynecological malignancies in gynecology. On the other hand, dysregulation of copper metabolism (CM) is closely associated with tumourigenesis and progression. Here, we investigated the impact of genes associated with copper metabolism (CMRGs) on the prognosis of OC, discovered various CM clusters, and built a risk model to evaluate patient prognosis, immunological features, and therapy response. METHODS 15 CMRGs affecting the prognosis of OC patients were identified in The Cancer Genome Atlas (TCGA). Consensus Clustering was used to identify two CM clusters. lasso-cox methods were used to establish the copper metabolism-related gene prognostic signature (CMRGPS) based on differentially expressed genes in the two clusters. The GSE63885 cohort was used as an external validation cohort. Expression of CM risk score-associated genes was verified by single-cell sequencing and quantitative real-time PCR (qRT-PCR). Nomograms were used to visually depict the clinical value of CMRGPS. Differences in clinical traits, immune cell infiltration, and tumor mutational load (TMB) between risk groups were also extensively examined. Tumour Immune Dysfunction and Rejection (TIDE) and Immune Phenotype Score (IPS) were used to validate whether CMRGPS could predict response to immunotherapy in OC patients. RESULTS In the TCGA and GSE63885 cohorts, we identified two CM clusters that differed significantly in terms of overall survival (OS) and tumor microenvironment. We then created a CMRGPS containing 11 genes to predict overall survival and confirmed its reliable predictive power for OC patients. The expression of CM risk score-related genes was validated by qRT-PCR. Patients with OC were divided into low-risk (LR) and high-risk (HR) groups based on the median CM risk score, with better survival in the LR group. The 5-year AUC value reached 0.74. Enrichment analysis showed that the LR group was associated with tumor immune-related pathways. The results of TIDE and IPS showed a better response to immunotherapy in the LR group. CONCLUSION Our study, therefore, provides a valuable tool to further guide clinical management and tailor the treatment of patients with OC, offering new insights into individualized treatment.
Collapse
Affiliation(s)
- Songyun Zhao
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
- Department of Neurosurgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China
| | - Xin Zhang
- Department of Pathology, The Second People's Hospital of Foshan, Affiliated Foshan Hospital of Southern Medical University, Foshan, China
| | - Feng Gao
- Department of Orthopaedics, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hao Chi
- Southwest Medical University, Luzhou, China
| | | | - Zhijia Xia
- Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians University, Munich, Germany
- *Correspondence: Zhijia Xia, ; Chao Cheng, ; Jinhui Liu,
| | - Chao Cheng
- Department of Neurosurgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China
- *Correspondence: Zhijia Xia, ; Chao Cheng, ; Jinhui Liu,
| | - Jinhui Liu
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Zhijia Xia, ; Chao Cheng, ; Jinhui Liu,
| |
Collapse
|
11
|
Cui G, Liu J, Wang M, Shon K, Wang C, Wei F, Sun Z. Crosstalk of angiogenesis-related subtypes, establishment of a prognostic signature and immune infiltration characteristics in colorectal adenocarcinoma. Front Immunol 2022; 13:1049485. [PMID: 36505481 PMCID: PMC9731117 DOI: 10.3389/fimmu.2022.1049485] [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: 09/20/2022] [Accepted: 11/07/2022] [Indexed: 11/25/2022] Open
Abstract
Background Colorectal adenocarcinoma (COAD) is one of the most common malignancies and angiogenesis is vital to the development of cancer. Here, we explored the roles of angiogenesis-related genes (ARGs) that affect the prognosis of COAD and constructed risk models to assess patient prognosis, immune characteristics, and treatment outcomes. Methods We comprehensively characterized the transcriptional and genetic modifications of 48 ARGs in COAD and evaluated the expression patterns. We identified two ARG subgroups using the consensus clustering algorithm. Based on the differentially expressed genes (DEGs) of two ARG subtypes, we calculated risk score, namely ARG_scores, and calssified COAD patients into different risk groups. To investigate the expression of ARG_score-related genes, qRT-PCR was performed. Subsequently, we mapped the nomogram to visually and accurately describe the value of the application of ARG_score. Finally, the correlation between ARG_score and clinical features, immune infiltration along with drug sensitivity were explored. Results We identified two ARG related subgroups and there were great differences in overall survival (OS) and tumor microenvironment. Then, we created an ARG_score for predicting overall survival based on eight DEGs and confirmed its reliable predictive power in COAD patients, with higher ARG_score associated with worse prognosis. Furthermore, eight ARG_score-related genes expression was investigated by qRT-PCR. To make the ARG_score clinically feasible, we created a highly reliable nomogram. We also found a higher proportion of microsatellite instability-high (MSI-H) and higher tumor mutational burden (TMB) in the high-risk group. In addition, ARG_score was notably correlated with cancer stem cell indices and drug sensitivity. Conclusion This scoring model has potential clinical application value in the prognosis, immune microenvironment and therapeutic drug sensitivity of COAD, which provides new insights for personalized treatment.
Collapse
Affiliation(s)
- Guoliang Cui
- Department of Gastroenterology, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Jinhui Liu
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Manli Wang
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Kinyu Shon
- Department of Gastroenterology, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Can Wang
- Department of Colorectal Surgery, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, Jiangsu, China
| | - Fei Wei
- Department of Physiology, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China,*Correspondence: Fei Wei, ; Zhiguang Sun,
| | - Zhiguang Sun
- Department of Gastroenterology, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China,The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China,*Correspondence: Fei Wei, ; Zhiguang Sun,
| |
Collapse
|
12
|
Wang T, Zhou Z, Wang X, You L, Li W, Zheng C, Zhang J, Wang L, Kong X, Gao Y, Sun X. Comprehensive analysis of nine m7G-related lncRNAs as prognosis factors in tumor immune microenvironment of hepatocellular carcinoma and experimental validation. Front Genet 2022; 13:929035. [PMID: 36081998 PMCID: PMC9445240 DOI: 10.3389/fgene.2022.929035] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/18/2022] [Indexed: 12/24/2022] Open
Abstract
Background: Hepatocellular carcinoma (HCC) remains the most prevalent gastrointestinal malignancy worldwide, with robust drug resistance to therapy. N7-methylguanosine (m7G) mRNA modification has been significantly related to massive human diseases. Considering the effect of m7G-modified long non-coding RNAs (lncRNAs) in HCC progression is unknown, the study aims at investigating a prognostic signature to improve clinical outcomes for patients with HCC.Methods: Two independent databases (TCGA and ICGC) were used to analyze RNAseq data of HCC patients. First, co-expression analysis was applied to obtain the m7G-related lncRNAs. Moreover, consensus clustering analysis was employed to divide HCC patients into clusters. Then, using least absolute shrinkage and selection operator-Cox regression analysis, the m7G-related lncRNA prognostic signature (m7G-LPS) was first tested in the training set and then confirmed in both the testing and ICGC sets. The expression levels of the nine lncRNAs were further confirmed via real-time PCR in cell lines, principal component analysis, and receiver operating characteristic curve. The m7G-LPS could divide HCC patients into two different risk groups with the optimal risk score. Then, Kaplan–Meier curves, tumor mutation burden (TMB), therapeutic effects of chemotherapy agents, and expressions of immune checkpoints were performed to further enhance the availability of immunotherapeutic treatments for HCC patients.Results: A total of 1465 lncRNAs associated with the m7G genes were finally selected from the TCGA database, and through the univariate Cox regression, the expression levels of 22 m7G-related lncRNAs were concerning HCC patients’ overall survival (OS). Then, the whole patients were grouped into two subgroups, and the OS in Cluster 1 was longer than that of patients in Cluster 2. Furthermore, nine prognostic m7G-related lncRNAs were identified to conduct the m7G-LPS, which were further verified. A prognostic nomogram combined age, gender, HCC grade, stage, and m7G-LPS showed strong reliability and accuracy in predicting OS in HCC patients. Finally, immune checkpoint expression, TMB, and several chemotherapy agents were remarkably associated with risk scores. More importantly, the OS of the TMB-high patients was the worst among the four groups.Conclusion: The prognostic model we established was validated by abundant algorithms, which provided a new perspective on HCC tumorigenesis and thus improved individualized treatments for patients.
Collapse
Affiliation(s)
- Tao Wang
- Department of Hepatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhijia Zhou
- Department of Hepatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xuan Wang
- Department of Hepatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Liping You
- Department of Hepatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wenxuan Li
- Department of Hepatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Chao Zheng
- Department of Hepatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jinghao Zhang
- Department of Hepatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Lingtai Wang
- Department of Hepatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiaoni Kong
- Central Laboratory, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- *Correspondence: Xiaoni Kong, ; Yueqiu Gao, ; Xuehua Sun,
| | - Yueqiu Gao
- Department of Hepatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- *Correspondence: Xiaoni Kong, ; Yueqiu Gao, ; Xuehua Sun,
| | - Xuehua Sun
- Department of Hepatology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
- *Correspondence: Xiaoni Kong, ; Yueqiu Gao, ; Xuehua Sun,
| |
Collapse
|
13
|
Zeng D, Wang X, Zhang S, Zheng A, Huang Q, Cao L. Pyroptosis-related gene-based prognostic signature for predicting the overall survival of oral squamous cell carcinoma patients. Front Surg 2022; 9:903271. [PMID: 36061051 PMCID: PMC9437919 DOI: 10.3389/fsurg.2022.903271] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 07/07/2022] [Indexed: 11/26/2022] Open
Abstract
Purpose Oral squamous cell carcinoma (OSCC) is the most common oral cancer worldwide. Pyroptosis is a type of programmed cell death mediated by caspase, accompanied by an inflammatory response, and plays an important role in cancer progression. The purpose of this study was to explore and identify potential biomarkers and further elucidate the potential role of cell pyroptosis in OSCC. Methods We regarded the samples from The Cancer Genome Atlas database as a training dataset, screened differentially expressed genes (DEGs), and further screened out OSCC phenotypic characteristic genes by using weighted gene co-expression network analysis. The analysis of 42 known pyroptosis-related genes showed that Psuch genes were widely expressed, mutated, and methylated in OSCC samples. Results Through correlation analysis, we identified our OSCC pyroptosis-related DEGs. To further evaluate the prognostic value of pyroptosis-related regulators, we constructed a seven gene-based prognostic signature using Cox univariate analysis and least absolute shrinkage and selection operator Cox regression analysis. Meanwhile, we found that patients in the low-risk group had higher immune infiltration. Moreover, our results also indicated significant differences in sensitivity to cisplatin and gefitinib between the high-risk and low-risk groups. Conclusion Our study successfully constructed the pyroptosis-related prognostic signature, which might play a potential prediction role in OSCC prognosis. Our findings also suggested that pyroptosis-related regulators might be novel biomarkers for tumor diagnosis and treatment in OSCC.
Collapse
|
14
|
Construction of a novel signature and prediction of the immune landscape in gastric cancer based on necroptosis-related genes. Sci Rep 2022; 12:13290. [PMID: 35918354 PMCID: PMC9345982 DOI: 10.1038/s41598-022-15854-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 06/30/2022] [Indexed: 11/12/2022] Open
Abstract
Necroptosis, a type of programmed cell death, has become a potential therapeutic target for solid tumors. Nevertheless, the potential roles of necroptosis-related genes (NRGs) in gastric cancer (GC) remain unknown. The objective of the present study was to create a necroptosis-related prognostic signature that can provide more accurate assessment of prognosis in GC. Using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) data, we identified differentially expressed NRGs. Univariate analysis and Lasso regression were performed to determine the prognostic signature. Risk scores were calculated and all GC patients were divided into high- and low-risk score group according to the median risk score value. The robustness of this signature was externally validated with data from GSE84437 cohort (n = 431). Survival analysis revealed high-risk score patients had a worse prognosis. Results evidenced that the signature was an independent prognosis factor for survival. Single-sample sequence set enrichment analysis (ssGSEA) exhibited different enrichment of immune cells and immune-related pathways in the two risk groups. Furthermore, a predictive nomogram was generated and showed excellent predictive performance based on discrimination and calibration. In addition, the risk score positively correlated with tumor mutational burden and was associated with sensitivity to multiple anti-cancer drugs. Overall, our work demonstrates a close relationship between necroptosis and the prognosis of GC. The signature we constructed with potential clinical application value, can be used for prognosis prediction and being a potential therapeutic responses indicator in GC patients.
Collapse
|
15
|
Yang F, Wang T, Yan P, Li W, Kong J, Zong Y, Chao X, Li W, Zhao X, Wang J. Identification of pyroptosis-related subtypes and establishment of prognostic model and immune characteristics in asthma. Front Immunol 2022; 13:937832. [PMID: 35967302 PMCID: PMC9368761 DOI: 10.3389/fimmu.2022.937832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/04/2022] [Indexed: 11/13/2022] Open
Abstract
Background Although studies have shown that cell pyroptosis is involved in the progression of asthma, a systematic analysis of the clinical significance of pyroptosis-related genes (PRGs) cooperating with immune cells in asthma patients is still lacking. Methods Transcriptome sequencing datasets from patients with different disease courses were used to screen pyroptosis-related differentially expressed genes and perform biological function analysis. Clustering based on K-means unsupervised clustering method is performed to identify pyroptosis-related subtypes in asthma and explore biological functional characteristics of poorly controlled subtypes. Diagnostic markers between subtypes were screened and validated using an asthma mouse model. The infiltration of immune cells in airway epithelium was evaluated based on CIBERSORT, and the correlation between diagnostic markers and immune cells was analyzed. Finally, a risk prediction model was established and experimentally verified using differentially expressed genes between pyroptosis subtypes in combination with asthma control. The cMAP database and molecular docking were utilized to predict potential therapeutic drugs. Results Nineteen differentially expressed PRGs and two subtypes were identified between patients with mild-to-moderate and severe asthma conditions. Significant differences were observed in asthma control and FEV1 reversibility between the two subtypes. Poor control subtypes were closely related to glucocorticoid resistance and airway remodeling. BNIP3 was identified as a diagnostic marker and associated with immune cell infiltration such as, M2 macrophages. The risk prediction model containing four genes has accurate classification efficiency and prediction value. Small molecules obtained from the cMAP database that may have therapeutic effects on asthma are mainly DPP4 inhibitors. Conclusion Pyroptosis and its mediated immune phenotype are crucial in the occurrence, development, and prognosis of asthma. The predictive models and drugs developed on the basis of PRGs may provide new solutions for the management of asthma.
Collapse
Affiliation(s)
- Fan Yang
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of Traditional Chinese Medicine (TCM) Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Tieshan Wang
- Beijing Research Institute of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Peizheng Yan
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Wanyang Li
- Department of Clinical Nutrition, Chinese Academy of Medical Sciences - Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China
| | - Jingwei Kong
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of Traditional Chinese Medicine (TCM) Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Yuhan Zong
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
- National Institute of Traditional Chinese Medicine (TCM) Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Xiang Chao
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Weijie Li
- College of Traditional Chinese Medicine, Shandong University of Chinese Medicine, Jinan, China
| | - Xiaoshan Zhao
- School of Chinese Medicine, Southern Medical University, Guangzhou, China
- *Correspondence: Ji Wang, ; Xiaoshan Zhao,
| | - Ji Wang
- National Institute of Traditional Chinese Medicine (TCM) Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China
- *Correspondence: Ji Wang, ; Xiaoshan Zhao,
| |
Collapse
|
16
|
Dai L, Mugaanyi J, Cai X, Lu C, Lu C. Pancreatic adenocarcinoma associated immune-gene signature as a novo risk factor for clinical prognosis prediction in hepatocellular carcinoma. Sci Rep 2022; 12:11944. [PMID: 35831362 PMCID: PMC9279485 DOI: 10.1038/s41598-022-16155-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/05/2022] [Indexed: 11/30/2022] Open
Abstract
Pancreatic adenocarcinoma (PAAD) has high mortality and a very poor prognosis. Both surgery and chemotherapy have a suboptimal therapeutic effect, and this caused a need to find new approaches such as immunotherapy. Therefore, it is essential to develop a new model to predict patient prognosis and facilitate early intervention. Our study screened out and validated the target molecules based on the TCGA-PAAD dataset. We established the risk signature using univariate and multivariate Cox regression analysis and used GSE62452 and GSE28735 to verify the accuracy and reliability of the model. Expanded application of PAAD-immune-related genes signature (-IRGS) on other datasets was conducted, and the corresponding nomograms were constructed. We also analyzed the correlation between immune-related cells/genes and potential treatments. Our research demonstrated that a high riskscore of PAAD-IRGS in patients with PAAD was correlated with poor overall survival, disease-specific survival and progression free interval. The same results were observed in patients with LIHC. The models constructed were confirmed to be accurate and reliable. We found various correlations between PAAD-IRGS and immune-related cells/genes, and the potential therapeutic agents. These findings indicate that PAAD-IRGS may be a promising indicator for prognosis and of the tumor-immune microenvironment status in PAAD.
Collapse
Affiliation(s)
- Lei Dai
- Department of Hepatopancreatobiliary Surgery, Ningbo Medical Centre Lihuili Hospital, Ningbo University, 1111 Jiangnan Road, Ningbo, 315040, Zhejiang, China
| | - Joseph Mugaanyi
- Department of Hepatopancreatobiliary Surgery, Ningbo Medical Centre Lihuili Hospital, Ningbo University, 1111 Jiangnan Road, Ningbo, 315040, Zhejiang, China
| | - Xingchen Cai
- Department of Hepatopancreatobiliary Surgery, Ningbo Medical Centre Lihuili Hospital, Ningbo University, 1111 Jiangnan Road, Ningbo, 315040, Zhejiang, China
| | - Caide Lu
- Department of Hepatopancreatobiliary Surgery, Ningbo Medical Centre Lihuili Hospital, Ningbo University, 1111 Jiangnan Road, Ningbo, 315040, Zhejiang, China.
| | - Changjiang Lu
- Department of Hepatopancreatobiliary Surgery, Ningbo Medical Centre Lihuili Hospital, Ningbo University, 1111 Jiangnan Road, Ningbo, 315040, Zhejiang, China.
| |
Collapse
|
17
|
Ba Y, Su J, Gao S, Liao Z, Wu Z, Cao C, Liang C, Gong J, Guo Y. The Identification of Necroptosis-Related Subtypes, the Construction of a Prognostic Model, and the Characterization of the Tumor Microenvironment in Gliomas. Front Oncol 2022; 12:899443. [PMID: 35756610 PMCID: PMC9231435 DOI: 10.3389/fonc.2022.899443] [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: 03/18/2022] [Accepted: 05/06/2022] [Indexed: 11/13/2022] Open
Abstract
Necroptosis is a recently discovered form of cell death that plays a vital role in the progression of cancer, the spread of metastases, and the immunologic response to tumors. Due to the dual role of necrotic apoptotic processes in tumor pathogenesis and the heterogeneity of gliomas, the function of necroptosis in the glioma microenvironment is still poorly understood. We characterized the expression of necroptosis-related genes (NRGs) within glioma samples at both the genetic and transcriptional levels, identifying three distinct subtypes. Additionally, we constructed a risk score, which is capable of accurately predicting patient prognosis, correlates with tumor mutation burden (TMB), tumor stem cell index (CSC), immune checkpoints, and predicts tumor drug sensitivity. To facilitate its application in the clinic, we developed a nomogram and demonstrated that it predicts the prognosis of glioma patients with good accuracy and reliability using multiple datasets. We examined the function of necroptosis in the tumor microenvironment (TME) and the prognosis of gliomas, which may be useful for guiding individualized treatment plans for gliomas targeting necroptosis.
Collapse
Affiliation(s)
- Yueyang Ba
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiahao Su
- Department of Neurosurgery, Zhongshan City People's Hospital, Zhongshan, China
| | - Shuangqi Gao
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhi Liao
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhimin Wu
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chengan Cao
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chaofeng Liang
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jin Gong
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ying Guo
- Department of Neurosurgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
18
|
Chen M, Wang X, Wang W, Gui X, Li Z. Immune- and Stemness-Related Genes Revealed by Comprehensive Analysis and Validation for Cancer Immunity and Prognosis and Its Nomogram in Lung Adenocarcinoma. Front Immunol 2022; 13:829057. [PMID: 35833114 PMCID: PMC9271778 DOI: 10.3389/fimmu.2022.829057] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 05/20/2022] [Indexed: 12/24/2022] Open
Abstract
Objective Lung adenocarcinoma (LUAD) is a familiar lung cancer with a very poor prognosis. This study investigated the immune- and stemness-related genes to develop model related with cancer immunity and prognosis in LUAD. Method The Cancer Genome Atlas (TCGA) was utilized for obtaining original transcriptome data and clinical information. Differential expression, prognostic value, and correlation with clinic parameter of mRNA stemness index (mRNAsi) were conducted in LUAD. Significant mRNAsi-related module and hub genes were screened using weighted gene coexpression network analysis (WGCNA). Meanwhile, immune-related differential genes (IRGs) were screened in LUAD. Stem cell index and immune-related differential genes (SC-IRGs) were screened and further developed to construct prognosis-related model and nomogram. Comprehensive analysis of hub genes and subgroups, involving enrichment in the subgroup [gene set enrichment analysis (GSEA)], gene mutation, genetic correlation, gene expression, immune, tumor mutation burden (TMB), and drug sensitivity, used bioinformatics and reverse transcription polymerase chain reaction (RT-PCR) for verification. Results Through difference analysis, mRNAsi of LUAD group was markedly higher than that of normal group. Clinical parameters (age, gender, and T staging) were ascertained to be highly relevant to mRNAsi. MEturquoise and MEblue were found to be the most significant modules (including positive and negative correlations) related to mRNAsi via WGCNA. The functions and pathways of the two mRNAsi-related modules were mainly enriched in tumorigenesis, development, and metastasis. Combining stem cell index-related differential genes and immune-related differential genes, 30 prognosis-related SC-IRGs were screened via Cox regression analysis. Then, 16 prognosis-related SC-IRGs were screened to construct a LASSO regression model at last. In addition, the model was successfully validated by using TCGA-LUAD and GSE68465, whereas c-index and the calibration curves were utilized to demonstrate the clinical value of our nomogram. Following the validation of the model, GSEA, immune cell correlation, TMB, clinical relevance, etc., have found significant difference in high- and low-risk groups, and 16-gene expression of the SC-IRG model also was tested by RT-PCR. ADRB2, ANGPTL4, BDNF, CBLC, CX3CR1, and IL3RA were found markedly different expression between the tumor and normal group. Conclusion The SC-IRG model and the prognostic nomogram could accurately predict LUAD survival. Our study used mRNAsi combined with immunity that may lay a foundation for the future research studies in LUAD.
Collapse
Affiliation(s)
- Mengqing Chen
- Department of Respiratory and Critical Care Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Xue Wang
- Department of Respiratory and Critical Care Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Wenjun Wang
- Department of Respiratory and Critical Care Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Xuemei Gui
- Department of Respiratory and Critical Care Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Zhan Li
- Department of Stem Cell and Regenerative Medicine, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, China
- Central Laboratory, State Key Laboratory of Trauma, Burn and Combined Injury, Daping Hospital, Army Medical University, Chongqing, China
| |
Collapse
|
19
|
Wang M, Xia H, Yan Q, Liu W, Liu M, Wang X. Identification of Pyroptosis-Related Gene Signatures and Construction of the Risk Model to Predict BCR in Prostate Cancer. Front Mol Biosci 2022; 9:850758. [PMID: 35813821 PMCID: PMC9259891 DOI: 10.3389/fmolb.2022.850758] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 04/25/2022] [Indexed: 12/27/2022] Open
Abstract
Prostate cancer is one of the most common malignant tumors in men. Pyroptosis is related to tumor immune infiltration and tumor microenvironment (TME) and has been confirmed to be related to the progression of a variety of tumors. However, the relationship between prostate cancer and pyroptosis, as well as TME and tumor immune infiltration, has not been discussed yet. We obtained and combined the RNA-seq data of prostate cancer from TCGA and GEO databases, analyzed the differential expression of pyroptosis-related genes (PRGs), and divided them into two groups according to the PRG expression level. The relationship between pyroptosis subtypes and the TME of prostate cancer was further verified, and the differential expression genes (DEGs) in the two subtypes were identified. The relationship between the DEGs and clinicopathology was explored and KEGG and GO enrichment analysis was conducted; it was found that most DEGs were enriched in immune-related pathways. Then, we randomly divided datasets into training and testing sets, performed the LASSO and multicox progression analysis, selected eight genes as prognostic signatures and used the eight genes, calculated the risk score, and then separated the entire cohort into high- and low-risk groups. The prognosis between two groups and the 1-, 3-, and 5-year ROC curves of biochemical relapse (BCR) were verified in training, testing, and the entire cohort, respectively. The TME, CSC index, mutation, and drug susceptibility were also discussed.
Collapse
Affiliation(s)
- Miaomiao Wang
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Haoran Xia
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Qiuxia Yan
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Peking University Fifth School of Clinical Medicine, Beijing, China
| | - Wen Liu
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Ming Liu
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Xuan Wang
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- *Correspondence: Xuan Wang,
| |
Collapse
|
20
|
Wang P, Zhao W, Cao H. Development of a Platelet-Related Prognostic Model for Colorectal Cancer. Front Genet 2022; 13:904168. [PMID: 35719389 PMCID: PMC9198283 DOI: 10.3389/fgene.2022.904168] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 04/26/2022] [Indexed: 12/24/2022] Open
Abstract
Colorectal cancer (CRC) represents one of the most common malignancies with high morbidity worldwide. Growing evidence has suggested that platelets are a fundamental component of the tumor microenvironment and play crucial roles in driving tumor biological behavior. The construction of a platelet-related prognostic model that can reliably predict CRC prognosis is of great clinical significance. The 1427 CRC-specific platelet-related genes were collected and mainly enriched in the ribosome and immune-related pathways. Based on platelet-related genes, three subtypes of TCGA CRC samples were identified by consensus clustering and characterized by differences in angiogenesis, epithelial–mesenchymal transition, immune infiltration, and prognosis. A total of 100 prognostic platelet-related genes were identified by univariate Cox regression. LASSO Cox regression further shrank those genes and constructed a 10-gene prognostic model. The patients with higher risk scores had significantly worse disease-specific survival than those with lower scores in both TCGA and validation cohorts. The risk score demonstrated good predictive performance for prognosis by receiver operating characteristic (ROC) curves. Furthermore, multivariate Cox regression analysis showed that the risk score was independent of TNM stage, sex, and age, and a graphic nomogram based on the risk score and clinical factors was developed to predict survival probability of CRC patients. Patients from the high-risk group were characterized by higher infiltration of immunosuppressive cells such as MDSC and Treg and higher expression of checkpoints CTLA4, CD86, and PDCD1LG2. Taken together, we identified three platelet-related subtypes and specifically constructed a promising 10-gene prognostic model in CRC. Our results highlighted the potential survival effects of platelet-related genes and provided evidence about their roles in regulating tumor immunity.
Collapse
Affiliation(s)
- Pengcheng Wang
- Department of Colorectal and Anal Surgery, Shanxi Province Cancer Hospital, Taiyuan, China
| | - Wei Zhao
- Department of Anesthesiology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hailei Cao
- Department of Colorectal and Anal Surgery, Shanxi Province Cancer Hospital, Taiyuan, China
| |
Collapse
|
21
|
Lin L, Chen L, Xie Z, Chen J, Li L, Lin A. Identification of NAD+ Metabolism-Derived Gene Signatures in Ovarian Cancer Prognosis and Immunotherapy. Front Genet 2022; 13:905238. [PMID: 35783253 PMCID: PMC9243463 DOI: 10.3389/fgene.2022.905238] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 05/18/2022] [Indexed: 12/14/2022] Open
Abstract
Background: Nicotinamide adenine dinucleotide (NAD+) has emerged as a critical regulator of cell signaling and survival pathways, affecting tumor initiation and progression. In this study it was investigated whether circulating NAD+ metabolism-related genes (NMRGs) could be used to predict immunotherapy response in ovarian cancer (OC) patients. Method: In this study, NMRGs were comprehensively examined in OC patients, three distinct NMRGs subtypes were identified through unsupervised clustering, and an NAD+-related prognostic model was generated based on LASSO Cox regression analysis and generated a risk score (RS). ROC curves and an independent validation cohort were used to assess the model’s accuracy. A GSEA enrichment analysis was performed to investigate possible functional pathways. Furthermore, the role of RS in the tumor microenvironment, immunotherapy, and chemotherapy was also investigated. Result: We found three different subgroups based on NMRGs expression patterns. Twelve genes were selected by LASSO regression to create a prognostic risk signature. High-RS was founded to be linked to a worse prognosis. In Ovarian Cancer Patients, RS is an independent prognostic marker. Immune infiltrating cells were considerably overexpressed in the low-RS group, as immune-related functional pathways were significantly enriched. Furthermore, immunotherapy prediction reveal that patients with low-RS are more sensitive to immunotherapy. Conclusion: For a patient with OC, NMRGs are promising biomarkers. Our prognostic signature has potential predictive value for OC prognosis and immunotherapy response. The results of this study may help improve our understanding of NMRG in OCs.
Collapse
Affiliation(s)
| | | | | | | | - Ling Li
- *Correspondence: Ling Li, ; An Lin,
| | - An Lin
- *Correspondence: Ling Li, ; An Lin,
| |
Collapse
|
22
|
Wang G, Zheng H, Zhao X, Wang Y, Zeng Y, Du J. The Prognostic Model and Drug Sensitivity of LKB1-Mutant Lung Adenocarcinoma Based on Immune Landscape. Front Mol Biosci 2022; 9:756772. [PMID: 35720127 PMCID: PMC9201220 DOI: 10.3389/fmolb.2022.756772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 04/21/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Lung cancer is the most common cause of cancer-related deaths worldwide. LKB1-mutant lung adenocarcinoma (LUAD) is a unique subtype of this deadly cancer. LKB1 mutations cause functional changes in a variety of cell processes, including immune functions, that affect prognosis. To date, the potential role of immunity in the prognosis of LKB1-mutant LUAD is not well understood.Methods: We systematically analyzed immune-related genes in LUAD samples from The Cancer Genome Atlas (TCGA) database. ESTIMATE and CIBERSORT algorithms were used to explore the immune microenvironment. A prognostic risk model was constructed, and prognostic, immune function, drug sensitivity, and model specificity analyses were performed to identify the effectiveness of the model.Results: Our results showed that LKB1 mutations suppressed immune function in LUAD. A three-gene signature was constructed to stratify patients into two risk groups. The risk score was an independent predictor for overall survival (OS) in multivariate Cox regression analyses [hazard ratio (HR) > 1, p = 0.002]. Receiver operating characteristic (ROC) curve analyses confirmed that the risk score has better performance than clinicopathological characteristics. Functional analysis revealed that the immune status was different between the risk groups. ZM.447439 was an appropriate treatment for the high-risk group of patients. This risk model is only suitable for LKB1-mutant tumors; it performed poorly in LUAD patients with wild-type LKB1.Conclusion: Our findings indicate the potential role of immunity in LKB1-mutant LUAD, providing novel insights into prognosis and guiding effective immunotherapy.
Collapse
Affiliation(s)
- Guanghui Wang
- Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, China
- Department of Thoracic Surgery, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Haotian Zheng
- Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Xiaogang Zhao
- Department of Thoracic Surgery, The Second Hospital of Shandong University, Jinan, China
| | - Yadong Wang
- Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Yukai Zeng
- Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, China
| | - Jiajun Du
- Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan, China
- Department of Thoracic Surgery, Shandong Provincial Hospital, Shandong University, Jinan, China
- *Correspondence: Jiajun Du,
| |
Collapse
|
23
|
Zhao R, Ding D, Ding Y, Han R, Wang X, Zhu C. Predicting Differences in Treatment Response and Survival Time of Lung Adenocarcinoma Patients Based on a Prognostic Risk Model of Glycolysis-Related Genes. Front Genet 2022; 13:828543. [PMID: 35692818 PMCID: PMC9174756 DOI: 10.3389/fgene.2022.828543] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 05/05/2022] [Indexed: 11/18/2022] Open
Abstract
Background: Multiple factors influence the survival of patients with lung adenocarcinoma (LUAD). Specifically, the therapeutic outcomes of treatments and the probability of recurrence of the disease differ among patients with the same stage of LUAD. Therefore, effective prognostic predictors need to be identified. Methods: Based on the tumor mutation burden (TMB) data obtained from The Cancer Genome Atlas (TCGA) database, LUAD patients were divided into high and low TMB groups, and differentially expressed glycolysis-related genes between the two groups were screened. The least absolute shrinkage and selection operator (LASSO) and Cox regression were used to obtain a prognostic model. A receiver operating characteristic (ROC) curve and a calibration curve were generated to evaluate the nomogram that was constructed based on clinicopathological characteristics and the risk score. Two data sets (GSE68465 and GSE11969) from the Gene Expression Omnibus (GEO) were used to verify the prognostic performance of the gene. Furthermore, differences in immune cell distribution, immune-related molecules, and drug susceptibility were assessed for their relationship with the risk score. Results: We constructed a 5-gene signature (FKBP4, HMMR, B4GALT1, SLC2A1, STC1) capable of dividing patients into two risk groups. There was a significant difference in overall survival (OS) times between the high-risk group and the low-risk group (p < 0.001), with the low-risk group having a better survival outcome. Through multivariate Cox analysis, the risk score was confirmed to be an independent prognostic factor (HR = 2.709, 95% CI = 1.981–3.705, p < 0.001), and the ROC curve and nomogram exhibited accurate prediction performance. Validation of the data obtained in the GEO database yielded similar results. Furthermore, there were significant differences in sensitivity to immunotherapy, cisplatin, paclitaxel, gemcitabine, docetaxel, gefitinib, and erlotinib between the low-risk and high-risk groups. Conclusion: Our results reveal that glycolysis-related genes are feasible predictors of survival and the treatment response of patients with LUAD.
Collapse
Affiliation(s)
- Rongchang Zhao
- Department of Oncology, Taixing People’s Hospital Affiliated to Bengbu Medical College, Taixing, China
- *Correspondence: Rongchang Zhao,
| | - Dan Ding
- Department of Intensive Care Unit, Taixing People’s Hospital Affiliated to Bengbu Medical College, Taixing, China
| | - Yan Ding
- Department of Oncology, Taixing People’s Hospital Affiliated to Bengbu Medical College, Taixing, China
| | - Rongbo Han
- Department of Oncology, Taixing People’s Hospital Affiliated to Bengbu Medical College, Taixing, China
| | - Xiujuan Wang
- Department of Intensive Care Unit, Taixing People’s Hospital Affiliated to Bengbu Medical College, Taixing, China
| | - Chunrong Zhu
- Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China
| |
Collapse
|
24
|
Pan C, Luo N, Guo K, Wang W, Li L, Fan N, Tian Y. Members of the Chromobox Family Have Prognostic Value in Hepatocellular Carcinoma. Front Genet 2022; 13:887925. [PMID: 35677563 PMCID: PMC9168656 DOI: 10.3389/fgene.2022.887925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 05/06/2022] [Indexed: 12/02/2022] Open
Abstract
Liver cancer is the fifth most prevalent malignant tumor, while hepatocellular carcinoma represents the most prevalent subtype worldwide. Previous studies have associated the chromobox family, critical components of epigenetic regulatory complexes, with development of many malignancies owing to their role in inhibiting differentiation and promoting proliferation of cancer cells. However, little is known regarding their function in development and progression of hepatocellular carcinoma. In the present study, we analyzed differential expression, prognostic value, immune cell infiltration, and gene pathway enrichment of chromobox family in hepatocellular carcinoma patients. Next, we performed Pearson’s correlation analysis to determine the relationships between chromobox family proteins with tumor-immune infiltration. Results revealed that high expression of CBX1, CBX2, CBX3, CBX6, and CBX8 was associated with poor survival rates of hepatocellular carcinoma patients. These five factors were used to build prognostic gene models using LASSO Cox regression analysis. Results indicated that high expression of CBX2 and CBX3 proteins was significantly associated with poor prognosis for hepatocellular carcinoma patients. The resulting nomogram revealed that CBX3 and T stages were significantly correlated with prognosis of hepatocellular carcinoma patients. Notably, predictive CBX3 was strongly correlated with immune cell infiltration. Furthermore, results from functional enrichment analysis revealed that CBX3 was mainly involved in regulation of methylation of Histone H3-K27. Collectively, these findings suggest that CBX3 could be a biomarker for predicting prognosis of hepatocellular carcinoma patients.
Collapse
Affiliation(s)
- Chenxi Pan
- Department of Breast Surgery, The Second Hospital of Dalian Medical University, Dalian, China
| | - Nan Luo
- Department of Infection, The Second Hospital of Dalian Medical University, Dalian, China
| | - Kun Guo
- Department of Pathology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Wenbo Wang
- Department of Pathology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Lei Li
- Department of Vascular Surgery, The Second Hospital of Dalian Medical University, Dalian, China
| | - Ning Fan
- College of Basic Medical Sciences, Dalian Medical University, Dalian, China
| | - Yu Tian
- Department of Vascular Surgery, The Second Hospital of Dalian Medical University, Dalian, China
- *Correspondence: Yu Tian,
| |
Collapse
|
25
|
Qu G, Wang D, Xu W, Guo W. Comprehensive Analysis of the Correlation Between Pyroptosis-Related LncRNAs and Tumor Microenvironment, Prognosis, and Immune Infiltration in Hepatocellular Carcinoma. Front Genet 2022; 13:867627. [PMID: 35559014 PMCID: PMC9087742 DOI: 10.3389/fgene.2022.867627] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/25/2022] [Indexed: 01/04/2023] Open
Abstract
Background: Accumulating evidence shows that pyroptosis plays a crucial role in hepatocellular carcinoma (HCC). However, the relationship between pyroptosis-related long non-coding RNAs (lncRNAs) and HCC tumor characteristics remains enigmatic. We aimed to explore the predictive effect of pyroptosis-related lncRNAs (PRLs) in the prognosis of HCC. Methods: We comprehensively analyzed the role of the PRLs in the tumor microenvironment and HCC prognosis by integrating genomic data from patients of HCC. Consensus clustering analysis of PRLs was applied to identify HCC subtypes. A prognostic model was then established with a training cohort from The Cancer Genome Atlas (TCGA) using univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Further, we evaluated the accuracy of this predictive model using a validation set. We predicted IC50s of commonly used chemotherapeutic and targeted drugs through the R package pRRophetic. Results: Based on pyroptosis-related lncRNAs, a prognostic risk signature composed of seven PRLs (MKLN1AS, AL031985.3, SNHG4, GHRLOS, AC005479.2, AC099850.4, and AC026412.3) was established. For long-term prognosis of HCC patients, our model shows excellent accuracy to forecast overall survival of HCC individuals both in training set and testing set. We found a significant correlation between clinical features and the risk score. Patients in the high-risk group had tumor characteristics associated with progression such as aggressive pathological grade and stage. Besides that, gene set enrichment analysis (GSEA) showed that cell cycle and focal adhesion were significantly enriched in the high-risk group. Conclusion: The association of the risk model constituted by these seven pyroptosis-related lncRNAs with clinical prognosis, tumor microenvironment, chemotherapy and small molecule drugs was evaluated. Our study provides strong evidence for individualized prediction of prognosis, shedding light on immunotherapy in HCC patients.
Collapse
Affiliation(s)
- Guangzhen Qu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing, China
| | - Dong Wang
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing, China
| | - Weiyu Xu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing, China
| | - Wei Guo
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing, China
| |
Collapse
|
26
|
Ma T, Wang J, Liu X, Zhang W, Meng L, Zhang Y. m6A Methylation Patterns and Tumor Microenvironment Infiltration Characterization in Clear-Cell Renal Cell Carcinoma. Front Genet 2022; 13:864549. [PMID: 35528542 PMCID: PMC9068873 DOI: 10.3389/fgene.2022.864549] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 04/06/2022] [Indexed: 12/21/2022] Open
Abstract
Increasing evidence suggests the essential regulation of RNA N6-methyladenosine (m6A) modification in carcinogenesis and immune response. Nevertheless, the potential impacts of these modifications on the tumor microenvironment (TME) immune cell infiltration characteristics in clear-cell renal cell carcinoma (ccRCC) remain unclear. Utilizing a consensus clustering algorithm, we determined three m6A modification patterns and identified three m6A-related gene clusters among 569 ccRCC samples, which were associated with different biological functions and clinical outcomes. Thereafter, the m6A score was constructed using m6A-associated signature genes to accurately exploit the m6A modification patterns within individual tumors. The m6A score was further demonstrated to be noticeably related to ccRCC prognosis. In addition, the m6A score was found to be strongly correlated with tumor mutational burden (TMB), microsatellite instability, immune infiltration, immune checkpoint expression, and immunotherapy response, which was also validated in the pan-cancer analyses. Our findings thoroughly elucidated that m6A modification contributes to tumor microenvironment immune-infiltrating characteristics and prognosis in ccRCC. Assessing the m6A modification patterns of individual patients with ccRCC will offer novel insights into TME infiltration and help develop more effective treatment strategies.
Collapse
Affiliation(s)
- Tianming Ma
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiawen Wang
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaodong Liu
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Wei Zhang
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Lingfeng Meng
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yaoguang Zhang
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| |
Collapse
|
27
|
Zhu J, Huang Q, Liu S, Peng X, Xue J, Feng T, Huang W, Chen Z, Lai K, Ji Y, Wang M, Yuan R. Construction of a Novel LncRNA Signature Related to Genomic Instability to Predict the Prognosis and Immune Activity of Patients With Hepatocellular Carcinoma. Front Immunol 2022; 13:856186. [PMID: 35479067 PMCID: PMC9037030 DOI: 10.3389/fimmu.2022.856186] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 03/21/2022] [Indexed: 01/10/2023] Open
Abstract
Background Genomic instability (GI) plays a crucial role in the development of various cancers including hepatocellular carcinoma. Hence, it is meaningful for us to use long non-coding RNAs related to genomic instability to construct a prognostic signature for patients with HCC. Methods Combining the lncRNA expression profiles and somatic mutation profiles in The Cancer Genome Atlas database, we identified GI-related lncRNAs (GILncRNAs) and obtained the prognosis-related GILncRNAs through univariate regression analysis. These lncRNAs obtained risk coefficients through multivariate regression analysis for constructing GI-associated lncRNA signature (GILncSig). ROC curves were used to evaluate signature performance. The International Cancer Genomics Consortium (ICGC) cohort, and in vitro experiments were used for signature external validation. Immunotherapy efficacy, tumor microenvironments, the half-maximal inhibitory concentration (IC50), and immune infiltration were compared between the high- and low-risk groups with TIDE, ESTIMATE, pRRophetic, and ssGSEA program. Results Five GILncRNAs were used to construct a GILncSig. It was confirmed that the GILncSig has good prognostic evaluation performance for patients with HCC by drawing a time-dependent ROC curve. Patients were divided into high- and low-risk groups according to the GILncSig risk score. The prognosis of the low-risk group was significantly better than that of the high-risk group. Independent prognostic analysis showed that the GILncSig could independently predict the prognosis of patients with HCC. In addition, the GILncSig was correlated with the mutation rate of the HCC genome, indicating that it has the potential to measure the degree of genome instability. In GILncSig, LUCAT1 with the highest risk factor was further validated as a risk factor for HCC in vitro. The ESTIMATE analysis showed a significant difference in stromal scores and ESTIMATE scores between the two groups. Multiple immune checkpoints had higher expression levels in the high-risk group. The ssGSEA results showed higher levels of tumor-antagonizing immune cells in the low-risk group compared with the high-risk group. Finally, the GILncSig score was associated with chemotherapeutic drug sensitivity and immunotherapy efficacy of patients with HCC. Conclusion Our research indicates that GILncSig can be used for prognostic evaluation of patients with HCC and provide new insights for clinical decision-making and potential therapeutic strategies.
Collapse
Affiliation(s)
- Jinfeng Zhu
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.,Jiangxi Province Key Laboratory of Molecular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qian Huang
- Department of General Practice, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Sicheng Liu
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.,Jiangxi Province Key Laboratory of Molecular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xingyu Peng
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.,Jiangxi Province Key Laboratory of Molecular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ju Xue
- Department of Pathology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Tangbin Feng
- Department of Surgery, II, Duchang County Hospital of Traditional Chinese Medicine, Jiujiang, China
| | - Wulang Huang
- Department of General Surgery, Affiliated Hospital of Jinggangshan University, Jian, China
| | - Zhimeng Chen
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Kuiyuan Lai
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yufei Ji
- The Second Clinical Medical College of Nanchang University, Nanchang, China
| | - Miaomiao Wang
- Queen Mary College of Nanchang University, Nanchang, China
| | - Rongfa Yuan
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| |
Collapse
|
28
|
Li Y, Tian R, Liu J, Ou C, Wu Q, Fu X. A 13-Gene Signature Based on Estrogen Response Pathway for Predicting Survival and Immune Responses of Patients With UCEC. Front Mol Biosci 2022; 9:833910. [PMID: 35558564 PMCID: PMC9087353 DOI: 10.3389/fmolb.2022.833910] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 04/11/2022] [Indexed: 12/11/2022] Open
Abstract
Background: Accumulating evidence suggests that anti-estrogens have been effective against multiple gynecological diseases, especially advanced uterine corpus endometrial carcinoma (UCEC), highlighting the contribution of the estrogen response pathway in UCEC progression. This study aims to identify a reliable prognostic signature for potentially aiding in the comprehensive management of UCEC. Methods: Firstly, univariate Cox and LASSO regression were performed to identify a satisfying UCEC prognostic model quantifying patients’ risk, constructed from estrogen-response-related genes and verified to be effective by Kaplan-Meier curves, ROC curves, univariate and multivariate Cox regression. Additionally, a nomogram was constructed integrating the prognostic model and other clinicopathological parameters. Next, UCEC patients from the TCGA dataset were divided into low- and high-risk groups according to the median risk score. To elucidate differences in biological characteristics between the two risk groups, pathway enrichment, immune landscape, genomic alterations, and therapeutic responses were evaluated to satisfy this objective. As for treatment, effective responses to anti-PD-1 therapy in the low-risk patients and sensitivity to six chemotherapy drugs in the high-risk patients were demonstrated. Results: The low-risk group with a relatively favorable prognosis was marked by increased immune cell infiltration, higher expression levels of HLA members and immune checkpoint biomarkers, higher tumor mutation burden, and lower copy number alterations. This UCEC prognostic signature, composed of 13 estrogen-response-related genes, has been identified and verified as effective. Conclusion: Our study provides molecular signatures for further functional and therapeutic investigations of estrogen-response-related genes in UCEC and represents a potential systemic approach to characterize key factors in UCEC pathogenesis and therapeutic responses.
Collapse
Affiliation(s)
- Yimin Li
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ruotong Tian
- Department of Pharmacology, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiaxin Liu
- Department of Pathology, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Chunlin Ou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Qihui Wu
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- Department of Obstetrics and Gynecology, Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Xiaodan Fu, ; Qihui Wu,
| | - Xiaodan Fu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
- *Correspondence: Xiaodan Fu, ; Qihui Wu,
| |
Collapse
|
29
|
Meng T, Wang Q, Yang Y, Ren Y, Shi Y. Construction of a Necroptosis-Related miRNA Signature for Predicting the Prognosis of Patients With Hepatocellular Carcinoma. Front Genet 2022; 13:825261. [PMID: 35495130 PMCID: PMC9039163 DOI: 10.3389/fgene.2022.825261] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 03/14/2022] [Indexed: 01/15/2023] Open
Abstract
Background: Many miRNAs have been demonstrated to be associated with the prognosis of hepatocellular carcinoma (HCC). However, how to combine necroptosis-related miRNAs to achieve the best predictive effect in estimating HCC patient survival has not been explored. Methods: The mRNA and miRNA expression profile were downloaded from a public database (TCGA-LIHC cohort). Necroptosis-related genes were obtained from previous references, and necroptosis-related miRNAs were identified using Pearson analysis. Subsequently, differential expression miRNAs (DEms) were identified in HCC and paracancer normal samples based on necroptosis-related miRNA expression. The whole set with HCC was randomized into a training set and testing set (1:1). LASSO-Cox regression analysis was used to construct an miRNA signature. Multiple statistical methods were used to validate the clinical benefit of signature in HCC patients, including receiver operator characteristic (ROC) curves, Kaplan–Meier survival analyses, and decision curve analysis (DCA). The downstream target genes of miRNAs were obtained from different online tools, and the potential pathways involved in miRNAs were explored. Finally, we conducted RT-qPCR in SK-HEP-1, THLE-3, and HUH-7 cell lines for miRNAs involved in the signature. Results: The results showed that a total of eight specific necroptosis-related miRNAs were screened between HCC and adjacent tissues in the training set. Subsequently, based on the aforementioned miRNAs, 5-miRNA signature (miR-139-5p, hsa-miR-326, miR-10b-5p, miR-500a-3p, and miR-592) was generated by LASSO-Cox regression analysis. Multivariate Cox regression analysis showed that the risk scores were independent prognostic indicators in each set. The area under curves (AUCs) of 1 year, 3 years, 5 years, and 7 years were high in each set (AUC >0.7). DCA analysis also revealed that the risk score had a potential benefit than other clinical characteristics. Meanwhile, survival analysis showed that the high-risk group showed low survival probabilities. Moreover, the results of enrichment analysis showed that specific miRNAs were mainly enriched in the cAMP signaling pathway and TNF signaling pathway. Finally, the results of RT-qPCR were consistent with the prediction results in public databases. Conclusion: Our study establishes a robust tool based on 5-necroptosis-related miRNAs for the prognostic management of HCC patients.
Collapse
Affiliation(s)
| | | | - Yufeng Yang
- *Correspondence: Yufeng Yang, ; Yanling Ren, ; Yan Shi,
| | - Yanling Ren
- *Correspondence: Yufeng Yang, ; Yanling Ren, ; Yan Shi,
| | - Yan Shi
- *Correspondence: Yufeng Yang, ; Yanling Ren, ; Yan Shi,
| |
Collapse
|
30
|
He R, Zhang M, He L, Huang J, Man C, Wang X, Lang Y, Fan Y. Integrated Analysis of Necroptosis-Related Genes for Prognosis, Immune Microenvironment Infiltration, and Drug Sensitivity in Colon Cancer. Front Med (Lausanne) 2022; 9:845271. [PMID: 35479956 PMCID: PMC9036446 DOI: 10.3389/fmed.2022.845271] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 03/16/2022] [Indexed: 12/12/2022] Open
Abstract
Background Necroptosis, is intimately linked to tumor development and prognosis and has been considered as a target for anticancer therapy. However, the role of necroptosis-related genes (NRGs) in colon cancer is unclear. Methods In the present study, we screened 76 NRGs from previous studies and described the landscape of transcriptomic and genetic variation of NRGs in colon cancer (CC) patient samples. Molecular subtypes of necroptosis in colon cancer were identified by clustering analysis, and these molecular subtypes were linked to patient prognosis and TME cell infiltration characteristics. Then, the NRS-score for predicting overall survival (OS) was built based on the TCGA database and validated in the GSE39582 cohort for its predictive power in CC patients. Besides, the ESTIMATE and CIBERSORT algorithms were applied to explore the relationship between NRS-score and tumor immune microenvironment. Results We identified two molecular subtypes associated with necroptosis in CC, which have diverse prognosis and immune microenvironment characteristics. Based on the differentially expressed genes between the two molecular subtypes, we further developed a necroptosis risk score signature, referred to as NRS-score. High NRS-score was associated with poor prognosis in CC through immunosuppressive microenvironment and immune escape mechanisms. The nomogram based on NRS-score showed excellent ability to predict prognosis. In addition, NRS-score presented a positive correlation with tumor mutational burden (TMB) and immune checkpoint blockade (ICB) expression and was closely correlated with multiple anticancer agent susceptibility. Conclusion This work revealed a close relationship between necroptosis and the prognosis and immune microenvironment of colon cancer. The NRS-score based on the 8-gene signature may be used to predict the sensitivity of immunotherapy and chemotherapy in colon cancer patients, and provides a foundation for future studies targeting necroptosis and its immune microenvironment.
Collapse
Affiliation(s)
- Rong He
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China
| | - Meiling Zhang
- Department of Gastroenterology, The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian, China
| | - Lian He
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China
| | - Jiabin Huang
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China
| | - Changfeng Man
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China
| | - Xiaoyan Wang
- Department of Gastroenterology, The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian, China
| | - Yakun Lang
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China
- Yakun Lang
| | - Yu Fan
- Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China
- *Correspondence: Yu Fan
| |
Collapse
|
31
|
Guo C, Liu Z, Cao C, Zheng Y, Lu T, Yu Y, Wang L, Liu L, Liu S, Hua Z, Han X, Li Z. Development and Validation of Ischemic Events Related Signature After Carotid Endarterectomy. Front Cell Dev Biol 2022; 10:794608. [PMID: 35372347 PMCID: PMC8969028 DOI: 10.3389/fcell.2022.794608] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 03/04/2022] [Indexed: 12/29/2022] Open
Abstract
Background: Ischemic events after carotid endarterectomy (CEA) in carotid artery stenosis patients are unforeseeable and alarming. Therefore, we aimed to establish a novel model to prevent recurrent ischemic events after CEA. Methods: Ninety-eight peripheral blood mononuclear cell samples were collected from carotid artery stenosis patients. Based on weighted gene co-expression network analysis, we performed whole transcriptome correlation analysis and extracted the key module related to ischemic events. The biological functions of the 292 genes in the key module were annotated via GO and KEGG enrichment analysis, and the protein-protein interaction (PPI) network was constructed via the STRING database and Cytoscape software. The enrolled samples were divided into train (n = 66), validation (n = 28), and total sets (n = 94). In the train set, the random forest algorithm was used to identify critical genes for predicting ischemic events after CEA, and further dimension reduction was performed by LASSO logistic regression. A diagnosis model was established in the train set and verified in the validation and total sets. Furthermore, fifty peripheral venous blood samples from patients with carotid stenosis in our hospital were used as an independent cohort to validation the model by RT-qPCR. Meanwhile, GSEA, ssGSEA, CIBERSORT, and MCP-counter were used to enrichment analysis in high- and low-risk groups, which were divided by the median risk score. Results: We established an eight-gene model consisting of PLSCR1, ECRP, CASP5, SPTSSA, MSRB1, BCL6, FBP1, and LST1. The ROC-AUCs and PR-AUCs of the train, validation, total, and independent cohort were 0.891 and 0.725, 0.826 and 0.364, 0.869 and 0.654, 0.792 and 0.372, respectively. GSEA, ssGSEA, CIBERSORT, and MCP-counter analyses further revealed that high-risk patients presented enhanced immune signatures, which indicated that immunotherapy may improve clinical outcomes in these patients. Conclusion: An eight-gene model with high accuracy for predicting ischemic events after CEA was constructed. This model might be a promising tool to facilitate the clinical management and postoperative surveillance of carotid artery stenosis patients.
Collapse
Affiliation(s)
- Chunguang Guo
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Can Cao
- Institute for Cardiovascular Physiology, Goethe University, Frankfurt, Germany
| | - Youyang Zheng
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Taoyuan Lu
- Department of Cerebrovascular Disease, Zhengzhou University People’s Hospital, Zhengzhou, China
| | - Yin Yu
- Department of Pathophysiology, School of Basic Medical Sciences, The Academy of Medical Science, Zhengzhou University, Zhengzhou, China
| | - Libo Wang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Long Liu
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shirui Liu
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhaohui Hua
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Zhaohui Hua, ; Xinwei Han, ; Zhen Li,
| | - Xinwei Han
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Zhaohui Hua, ; Xinwei Han, ; Zhen Li,
| | - Zhen Li
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Zhaohui Hua, ; Xinwei Han, ; Zhen Li,
| |
Collapse
|
32
|
Li W, Liu J, Zhang D, Gu L, Zhao H. The Prognostic Significance and Potential Mechanism of Ferroptosis-Related Genes in Hepatocellular Carcinoma. Front Genet 2022; 13:844624. [PMID: 35559035 PMCID: PMC9086291 DOI: 10.3389/fgene.2022.844624] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 03/24/2022] [Indexed: 02/05/2023] Open
Abstract
Ferroptosis exerts a pivotal role in the formation and dissemination processes of hepatocellular carcinoma (HCC). The heterogeneity of ferroptosis and the link between ferroptosis and immune responses have remained elusive. Based on ferroptosis-related genes (FRGs) and HCC patients from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) cohorts, we comprehensively explored the heterogeneous ferroptosis subtypes. The genetic alterations, consensus clustering and survival analysis, immune infiltration, pathway enrichment analysis, integrated signature development, and nomogram building were further investigated. Kaplan-Meier plotter confirmed statistically differential probabilities of survival among the three subclusters. Immune infiltration analysis showed there were clear differences among the types of immune cell infiltration, the expression of PD-L1, and the distribution of TP53 mutations among the three clusters. Univariate Cox regression analysis, random survival forest, and multivariate Cox analysis were used to identify the prognostic integrated signature, including MED8, PIGU, PPM1G, RAN, and SNRPB. Kaplan-Meier analysis and time-dependent receiver operating characteristic (ROC) curves revealed the satisfactory predictive potential of the five-gene model. Subsequently, a nomogram was established, which combined the signature with clinical factors. The nomogram including the ferroptosis-based signature was conducted and showed some clinical net benefits. These results facilitated an understanding of ferroptosis and immune responses for HCC.
Collapse
Affiliation(s)
- Wenli Li
- Reproductive Medicine Center, Yue Bei People’s Hospital, Shantou University Medical College, Shaoguan, China
| | - Jun Liu
- Medical Research Center, Yue Bei People’s Hospital, Shantou University Medical College, Shaoguan, China
| | - Dangui Zhang
- Research Center of Translational Medicine, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Liming Gu
- Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou University Medical College, Shantou, China
- Department of Microbiology and Immunology, Center of Pathogen Biology and Immunology, Shantou University Medical College, Shantou, China
- *Correspondence: Liming Gu, ; Hetong Zhao,
| | - Hetong Zhao
- Department of Traditional Chinese Medicine, Navy NO.905 Hospital, Naval Military Medical University, Shanghai, China
- *Correspondence: Liming Gu, ; Hetong Zhao,
| |
Collapse
|