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You J, Wang Q, Cong L, Zhao R, Cui W, Chen H. Identification of prognosis value and immune microenvironment features of ceRNAs in NSCLC with distinct gene mutation. Aging (Albany NY) 2023; 15:5873-5886. [PMID: 37390335 PMCID: PMC10333077 DOI: 10.18632/aging.204846] [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: 03/27/2023] [Accepted: 06/15/2023] [Indexed: 07/02/2023]
Abstract
Non-small cell lung cancer (NSCLC), representing about 85% of all lung cancer (LC) cases, is by far the most common form of LC. High-throughput technology largely expands our ability to analyze the transcriptome data and a plethora of cancer-driving genes has been identified, paving the path to immune therapy, where the effects of cancer-causing mutations are countered with microenvironment complexity. Given that competing endogenous RNAs (ceRNAs) participate in diverse cellular processes by a broad array of mechanisms in cancer, we scrutinized the immune microenvironment and ceRNA signatures in mutation-specific NSCLC by integrating TCGA-NSCLC and NSCLS-associated GEO datasets. The results suggested that RASA1mutation clusters in LUSC had a better prognosis and immunity. Immune cell infiltration analysis indicated that the cluster with RASA1 mutation had a significantly high level of NK T cells and a low level of memory effector T cells. Further analysis of immune-related ceRNAs in LUSC showed that hsa-miR-23a was significantly associated with survival in RASA1-mutation samples, indicating that there may be specific ceRNAs in mutation-specific subgroups in NSCLC. In conclusion, this study verified the presence of complexity and diversity of NSCLC gene mutations and highlighted the intricate links between gene mutation and tumor environment features.
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Affiliation(s)
- Jiangtao You
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shanxi, China
| | - Qingshi Wang
- Department of Surgical Oncology, The First People’s Hospital of Xianyang City, Xianyang, Shanxi, China
| | - Longlong Cong
- Department of Vascular Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shanxi, China
| | - Rui Zhao
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shanxi, China
| | - Wei Cui
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shanxi, China
| | - Huan Chen
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shanxi, China
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Wang T, Jiang X, Lu Y, Ruan Y, Wang J. Identification and integration analysis of a novel prognostic signature associated with cuproptosis-related ferroptosis genes and relevant lncRNA regulatory axis in lung adenocarcinoma. Aging (Albany NY) 2023; 15:1543-1563. [PMID: 36881404 PMCID: PMC10042693 DOI: 10.18632/aging.204561] [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: 12/30/2022] [Accepted: 02/20/2023] [Indexed: 03/06/2023]
Abstract
Lung adenocarcinoma (LUAD) is a highly prevalent malignancy worldwide, and its clinical prognosis assessment and treatment is a major research direction. Both ferroptosis and cuproptosis are novel forms of cell death and are considered to be important factors involved in cancer progression. To further understand the correlation between the cuproptosis-related ferroptosis genes (CRFGs) and the prognosis of LUAD, we explore the molecular mechanisms related to the development of the disease. We constructed a prognostic signature containing 13 CRFGs, which, after grouping based on risk score, revealed that the LUAD high-risk group exhibited poor prognosis. Nomogram confirmed that it could be an independent risk factor for LUAD, and ROC curves and DCA validated the validity of the model. Further analysis showed that the three prognostic biomarkers (LIFR, CAV1, TFAP2A) were significantly correlated with immunization. Meanwhile, we found that a LINC00324/miR-200c-3p/TFAP2A regulatory axis could be involved in the progression of LUAD. In conclusion, our report reveals that CRFGs are well correlated with LUAD and provide new ideas for the construction of clinical prognostic tools, immunotherapy, and targeted therapy for LUAD.
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Affiliation(s)
- Tianyue Wang
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Xinyu Jiang
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Ying Lu
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Yanmin Ruan
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Jiamin Wang
- The Fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China
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Mao K, Tang R, Wu Y, Zhang Z, Gao Y, Huang H. Prognostic markers of ferroptosis-related long non-coding RNA in lung adenocarcinomas. Front Genet 2023; 14:1118273. [PMID: 36923797 PMCID: PMC10009162 DOI: 10.3389/fgene.2023.1118273] [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: 12/07/2022] [Accepted: 02/15/2023] [Indexed: 03/02/2023] Open
Abstract
Ferroptosis is a recently established type of iron-dependent programmed cell death. Growing studies have focused on the function of ferroptosis in cancers, including lung adenocarcinoma (LUAD). However, the factors involved in the regulation of ferroptosis-related genes are not fully understood. In this study, we collected data from lung adenocarcinoma datasets of the Cancer Genome Atlas (TCGA-LUAD). The expression profiles of 60 ferroptosis-related genes were screened, and two differentially expressed ferroptosis subtypes were identified. We found the two ferroptosis subtypes can predict clinical outcomes and therapeutic responses in LUAD patients. Furthermore, key long non-coding RNAs (lncRNAs) were screened by single factor Cox and least absolute shrinkage and selection operator (LASSO) based on which co-expressed with the 60 ferroptosis-related genes. We then established a risk score model which included 13 LUAD ferroptosis-related lncRNAs with a multi-factor Cox regression. The risk score model showed a good performance in evaluating the outcome of LUAD. What's more, we divided TCGA-LUAD tumor samples into two groups with high- and low-risk scores and further explored the differences in clinical characteristics, tumor mutation burden, and tumor immune cell infiltration among different LUAD tumor risk score groups and evaluate the predictive ability of risk score for immunotherapy benefit. Our findings provide good support for immunotherapy in LUAD in the future.
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Affiliation(s)
- Kaimin Mao
- Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Ri Tang
- Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Yali Wu
- Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiyun Zhang
- Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Yuan Gao
- Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Huijing Huang
- Department of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China
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LINC00511/hsa-miR-573 axis-mediated high expression of Gasdermin C associates with dismal prognosis and tumor immune infiltration of breast cancer. Sci Rep 2022; 12:14788. [PMID: 36042287 PMCID: PMC9428000 DOI: 10.1038/s41598-022-19247-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 08/26/2022] [Indexed: 11/08/2022] Open
Abstract
Breast cancer (BC) is considered the second commonest human carcinoma and the most incident and mortal in the female population. Despite promising treatments for breast cancer, mortality rates of metastatic disease remain high. Gasdermin C (GSDMC) is an affiliate of the gasdermin (GSDM) family, which is involved in the process of pyroptosis. Pyroptosis is implicated in tumorigenesis, but the role of GSDMC in cancer cells is yet to be fully elucidated. In this study, we investigated the role and mechanism of GSDMC in breast cancer. We conducted a pan-cancer analysis of the expression and prognosis of GSDMC utilizing multidimensional data from The Cancer Genome Atlas (TCGA). We investigated GSDMC expression levels in 15 BC tissues and matched adjacent normal tissues by immunohistochemistry (IHC). Further verification was performed in the Gene Expression Omnibus (GEO) database. We discovered that elevated GSDMC expression was considerably linked to a worse prognosis in breast invasive carcinoma (BRCA). Next, we identified noncoding RNAs (ncRNAs) which contributing to higher expression of GSDMC by a series of expression, survival, and correlation analysis. We finally identified LINC00511/hsa-miR-573 axis to be the most promising ncRNA-associated pathways that account for GSDMC in BRCA. Furthermore, we demonstrated the significant correlations between GSDMC expression and immune infiltrates, immune checkpoints, and immune markers in BRCA. This study illustrated that ncRNAs-mediated upregulation of GSDMC linked to dismal prognosis and also exhibited a correlation with tumor immune cell infiltration in BRCA. It is anticipated to offer novel ideas for the link between pyroptosis and tumor immunotherapy.
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Wang Y, Lu G, Xue X, Xie M, Wang Z, Ma Z, Feng Y, Shao C, Duan H, Pan M, Ding P, Li X, Han J, Yan X. Characterization and validation of a ferroptosis-related LncRNA signature as a novel prognostic model for lung adenocarcinoma in tumor microenvironment. Front Immunol 2022; 13:903758. [PMID: 36016939 PMCID: PMC9395983 DOI: 10.3389/fimmu.2022.903758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 07/21/2022] [Indexed: 11/30/2022] Open
Abstract
Ferroptosis is a more relatively recently identified type of programmed cell death, which is associated with tumor progression. However, the mechanism underlying the effect of ferroptosis-related long non-coding RNAs (lncRNAs) in lung adenocarcinoma (LUAD) remains elusive. Therefore, the current study aimed to investigate the role of ferroptosis-related lncRNAs in LUAD and to develop a prognostic model. The clinicopathological characteristics of patients and the gene sequencing data were obtained from The Cancer Genome Atlas, while the ferroptosis-associated mRNAs were downloaded from the FerrDb database. A ferroptosis-related lncRNA signature was established with Least Absolute Shrinkage and Selection Operator Cox regression analysis. Furthermore, the risk scores of ferroptosis-related lncRNAs were calculated and LUAD patients were then assigned to high- and low-risk groups based on the median risk score. The prognostic model was established by K-M plotters and nomograms. Gene set enrichment analysis (GSEA) was performed to evaluate the association between immune responses and ferroptosis-related lncRNAs. A total of 10 ferroptosis-related lncRNAs were identified as independent predictors of LUAD outcome, namely RP11-386M24.3, LINC00592, FENDRR, AC104699.1, AC091132.1, LANCL1-AS1, LINC-PINT, IFNG-AS1, LINC00968 and AC006129.2. The area under the curve verified that the established signatures could determine LUAD prognosis. The nomogram model was used to assess the predictive accuracy of the established signatures. Additionally, GSEA revealed that the 10 ferroptosis-related lncRNAs could be involved in immune responses in LUAD. Overall, the results of the current study may provide novel insights into the development of novel therapies or diagnostic strategies for LUAD.
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Affiliation(s)
- Yuanyong Wang
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, China
| | - Guofang Lu
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi’an, China
- State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, China
| | - Xinying Xue
- Department of Respiratory Disease, Beijing Shijitan Hospital, Capital Medical University, Peking University Ninth School of Clinical Medicine, Beijing, China
- Department of Respiratory Disease, School of Clinical Medicine, Weifang Medical University, Weifang, China
- Department of Respiratory and Critical Care, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Mei Xie
- Department of Respiratory and Critical Care, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Zhaoyang Wang
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, China
| | - Zhiqiang Ma
- Department of Oncology, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Yingtong Feng
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, China
| | - Changjian Shao
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, China
| | - Hongtao Duan
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, China
| | - Minghong Pan
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, China
| | - Peng Ding
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, China
| | - Xiaofei Li
- Department of Thoracic Surgery, Xi’an International Medical Center Hospital, Xi’an, China
- *Correspondence: Xiaolong Yan, ; Jing Han, hanjing.cn.@163.com; Xiaofei Li,
| | - Jing Han
- Department of Ophthalmology, Tangdu Hospital of Air Force Military Medical University, Xi’an, China
- *Correspondence: Xiaolong Yan, ; Jing Han, hanjing.cn.@163.com; Xiaofei Li,
| | - Xiaolong Yan
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an, China
- *Correspondence: Xiaolong Yan, ; Jing Han, hanjing.cn.@163.com; Xiaofei Li,
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Yin S, Li X, Xiong Z, Xie M, Jin L, Chen H, Mao C, Zhang F, Lian L. A novel ceRNA-immunoregulatory axis based on immune cell infiltration in ulcerative colitis-associated colorectal carcinoma by integrated weighted gene co-expression network analysis. BMC Gastroenterol 2022; 22:188. [PMID: 35428188 PMCID: PMC9013140 DOI: 10.1186/s12876-022-02252-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 03/27/2022] [Indexed: 11/22/2022] Open
Abstract
Background Patients with ulcerative colitis are at an increased risk of developing colorectal cancer with a prolonged disease course. Many studies have shown that alterations in the immune microenvironment play a key role in ulcerative colitis-associated colorectal cancer. Additionally, competing endogenous RNAs have important functions in immunoregulation, affecting inflammation and tumorigenesis. However, the complexity and behavioral characteristics of the competing endogenous RNA immunoregulatory network in ulcerative colitis-associated colorectal cancer remain unclear. We constructed a competing endogenous RNA immunoregulatory network to discover and validate a novel competing endogenous RNA immunoregulatory axis to provide insight into ulcerative colitis-associated colorectal cancer progression. Methods The competing endogenous RNA immunoregulatory network was constructed using differential expression analysis, weighted gene co-expression network analysis, and immune-related genes. Cmap was used to identify small-molecule drugs with therapeutic potential in ulcerative colitis-associated colorectal cancer. The ulcerative colitis-associated colorectal cancer-related pathways were identified by gene set variation and enrichment analysis. CIBERSORT, single-sample Gene Set Enrichment Analysis, and xCell were used to evaluate the infiltration of immune cells and screen hub immunocytes. The competing endogenous RNA immunoregulatory axis was identified by correlation analysis. Results We identified 130 hub immune genes and constructed a competing endogenous RNA immunoregulatory network consisting of 56 long non-coding RNAs, four microRNAs, and six targeted hub immune genes. Four small-molecule drugs exerted potential therapeutic effects by reversing the expression of hub immune genes. Pathway analysis showed that the NF-κB pathway was significantly enriched. Neutrophils were identified as hub immunocytes, and IL6ST was significantly positively correlated with the neutrophil count. In addition, NEAT1 may serve as a competing endogenous RNA to sponge miR-1-3p and promote IL6ST expression. Conclusions The competing endogenous RNA immunoregulatory axis may regulate neutrophil infiltration, affecting the occurrence of ulcerative colitis-associated colorectal cancer. Supplementary Information The online version contains supplementary material available at 10.1186/s12876-022-02252-7.
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Yang Y, Zhang S, Guo L. Characterization of Cell Cycle-Related Competing Endogenous RNAs Using Robust Rank Aggregation as Prognostic Biomarker in Lung Adenocarcinoma. Front Oncol 2022; 12:807367. [PMID: 35186743 PMCID: PMC8853726 DOI: 10.3389/fonc.2022.807367] [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: 11/02/2021] [Accepted: 01/10/2022] [Indexed: 11/13/2022] Open
Abstract
Lung adenocarcinoma (LUAD), one of the most common pathological subtypes in lung cancer, has been of concern because it is the leading cause of cancer-related deaths. Due to its poor prognosis, to identify a prognostic biomarker, this study performed an integrative analysis to screen curial RNAs and discuss their cross-talks. The messenger RNA (mRNA) profiles were primarily screened using robust rank aggregation (RRA) through several datasets, and these deregulated genes showed important roles in multiple biological pathways, especially for cell cycle and oocyte meiosis. Then, 31 candidate genes were obtained via integrating 12 algorithms, and 16 hub genes (containing homologous genes) were further screened according to the potential prognostic values. These hub genes were used to search their regulators and biological-related microRNAs (miRNAs). In this way, 10 miRNAs were identified as candidate small RNAs associated with LUAD, and then miRNA-related long non-coding RNAs (lncRNAs) were further obtained. In-depth analysis showed that 4 hub mRNAs, 2 miRNAs, and 2 lncRNAs were potential crucial RNAs in the occurrence and development of cancer, and a competing endogenous RNA (ceRNA) network was then constructed. Finally, we identified CCNA2/MKI67/KIF11:miR-30a-5p:VPS9D1-AS1 axis-related cell cycle as a prognostic biomarker, which provided RNA cross-talks among mRNAs and non-coding RNAs (ncRNAs), especially at the multiple isomiR levels that further complicated the coding–non-coding RNA regulatory network. Our findings provide insight into complex cross-talks among diverse RNAs particularly involved in isomiRs, which will enrich our understanding of mRNA–ncRNA interactions in coding–non-coding RNA regulatory networks and their roles in tumorigenesis.
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Affiliation(s)
- Yifei Yang
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, China
- Department of Biology, Brandeis University, Waltham, MA, United States
| | - Shiqi Zhang
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, China
- Department of Biology, Brandeis University, Waltham, MA, United States
| | - Li Guo
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, China
- *Correspondence: Li Guo,
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Zheng Z, Zhang Q, Wu W, Xue Y, Liu S, Chen Q, Lin D. Identification and Validation of a Ferroptosis-Related Long Non-coding RNA Signature for Predicting the Outcome of Lung Adenocarcinoma. Front Genet 2021; 12:690509. [PMID: 34367250 PMCID: PMC8339970 DOI: 10.3389/fgene.2021.690509] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 06/21/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Ferroptosis is a recently recognized type of programmed cell death that is involved in the biological processes of various cancers. However, the mechanism of ferroptosis in lung adenocarcinoma (LUAD) remains unclear. This study aimed to determine the role of ferroptosis-associated long non-coding RNAs (lncRNAs) in LUAD and to establish a prognostic model. METHODS We downloaded ferroptosis-related genes from the FerrDb database and RNA sequencing data and clinicopathological characteristics from The Cancer Genome Atlas. We randomly divided the data into training and validation sets. Ferroptosis-associated lncRNA signatures with the lowest Akaike information criteria were determined using COX regression analysis and the least absolute shrinkage and selection operator. The risk scores of ferroptosis-related lncRNAs were calculated, and patients with LUAD were assigned to high- and low-risk groups based on the median risk score. The prognostic value of the risk scores was evaluated using Kaplan-Meier curves, Cox regression analyses, and nomograms. We then explored relationships between ferroptosis-related lncRNAs and the immune response using gene set enrichment analysis (GSEA). RESULTS Ten ferroptosis-related lncRNA signatures were identified in the training group, and Kaplan-Meier and Cox regression analyses confirmed that the risk scores were independent predictors of LUAD outcome in the training and validation sets (all P < 0.05). The area under the curve confirmed that the signatures could determine the prognosis of LUAD. The predictive accuracy of the established nomogram model was verified using the concordance index and calibration curve. The GSEA showed that the 10 ferroptosis-related lncRNAs might be associated with tumor immune response. CONCLUSION We established a novel signature involving 10 ferroptosis-related lncRNAs (LINC01843, MIR193BHG, AC091185.1, AC027031.2, AL021707.2, AL031667.3, AL606834.1, AC026355.1, AC124045.1, and AC025048.4) that can accurately predict the outcome of LUAD and are associated with the immune response. This will provide new insights into the development of new therapies for LUAD.
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Affiliation(s)
| | | | | | | | | | | | - Donghong Lin
- Medical Technology and Engineering College of Fujian Medical University, Fuzhou, China
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