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Zhao F, Xie H, Guan Y, Teng J, Li Z, Gao F, Luo X, Ma C, Ai X. A redox-related lncRNA signature in bladder cancer. Sci Rep 2024; 14:28323. [PMID: 39550498 PMCID: PMC11569154 DOI: 10.1038/s41598-024-80026-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2024] [Accepted: 11/14/2024] [Indexed: 11/18/2024] Open
Abstract
The redox status is intricately linked to the development and progression of cancer, a process that can be modulated by long non-coding RNAs (lncRNAs). Previous studies have demonstrated that redox regulation can be considered a potential therapeutic approach for cancer. However, the redox-related lncRNA predictive signature specific to bladder cancer (BCa) has yet to be fully elucidated. The purpose of our study is to establish a redox-related lncRNA signature to improve the prognostic prediction for BCa patients. To achieve this, we downloaded transcriptome and clinical data from the Cancer Genome Atlas (TCGA) database. Prognostic redox-related lncRNAs were identified through univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, and multivariate Cox regression analysis, resulting in the establishment of two risk groups. A comprehensive analysis corresponding to clinical features between high-risk and low-risk groups was conducted. Eight redox-related lncRNAs (AC018653.3, AC090229.1, AL357033.4, AL662844.4, AP003352.1, LINC00649, LINC01138, and MAFG-DT) were selected to construct the risk model. The overall survival (OS) in the high-risk group was worse than that in the low-risk group (p < 0.001). The redox-related lncRNA signature exhibits superior predictive accuracy compared to traditional clinicopathological characteristics. Gene Set Enrichment Analysis (GSEA) showed that the MAPK signaling pathway and Wnt signaling pathway were enriched in the high-risk group. Compared with the low-risk group, patients in the high-risk group demonstrated increased sensitivity to cisplatin, docetaxel, and paclitaxel. Furthermore, IGF2BP2, a potential target gene of MAFG-DT, was found to be overexpressed in tumor tissues and correlated with overall survival (OS). Our study demonstrated that the predictive signature based on eight redox-related lncRNAs can independently and accurately predict the prognosis of BCa patients.
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Affiliation(s)
- Fuguang Zhao
- Department of Urology, The Third Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100039, P.R. China
- Department of Urology, The Seventh Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100700, P.R. China
| | - Hui Xie
- Department of Urology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, P.R. China
| | - Yawei Guan
- Department of Urology, The Third Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100039, P.R. China
- Department of Urology, The Seventh Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100700, P.R. China
| | - Jingfei Teng
- Department of Urology, The Third Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100039, P.R. China
- Department of Urology, The Seventh Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100700, P.R. China
| | - Zhihui Li
- Department of Urology, The Seventh Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100700, P.R. China
| | - Feng Gao
- Department of Urology, The Seventh Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100700, P.R. China
| | - Xiao Luo
- Department of Urology, The Seventh Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100700, P.R. China
| | - Chong Ma
- Department of Urology, The Third Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100039, P.R. China.
- Department of Urology, The Seventh Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100700, P.R. China.
| | - Xing Ai
- Department of Urology, The Third Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100039, P.R. China.
- Department of Urology, The Seventh Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, 100700, P.R. China.
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Song J, Xie D, Wei X, Liu B, Yao F, Ye W. A cuproptosis-related lncRNAs signature predicts prognosis and reveals pivotal interactions between immune cells in colon cancer. Heliyon 2024; 10:e34586. [PMID: 39114018 PMCID: PMC11305305 DOI: 10.1016/j.heliyon.2024.e34586] [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: 09/17/2023] [Revised: 07/11/2024] [Accepted: 07/11/2024] [Indexed: 08/10/2024] Open
Abstract
Copper-mediated cell death presents distinct pathways from established apoptosis processes, suggesting alternative therapeutic approaches for colon cancer. Our research aims to develop a predictive framework utilizing long-noncoding RNAs (lncRNAs) related to cuproptosis to predict colon cancer outcomes while examining immune interactions and intercellular signaling. We obtained colon cancer-related human mRNA expression profiles and clinical information from the Cancer Genome Atlas repository. To isolate lncRNAs involved in cuproptosis, we applied Cox proportional hazards modeling alongside the least absolute shrinkage and selection operator technique. We elucidated the underlying mechanisms by examining the tumor mutational burden, the extent of immune cell penetration, and intercellular communication dynamics. Based on the model, drugs were predicted and validated with cytological experiments. A 13 lncRNA-cuproptosis-associated risk model was constructed. Two colon cancer cell lines were used to validate the predicted representative mRNAs with high correlation coefficients with copper-induced cell death. Survival enhancement in the low-risk cohort was evidenced by the trends in Kaplan-Meier survival estimates. Analysis of immune cell infiltration suggested that survival was induced by the increased infiltration of naïve CD4+ T cells and a reduction of M2 macrophages within the low-risk faction. Decreased infiltration of naïve B cells, resting NK cells, and M0 macrophages was significantly associated with better overall survival. Combined single-cell analysis suggested that CCL5-ACKR1, CCL2-ACKR1, and CCL5-CCR1 pathways play key roles in mediating intercellular dialogues among immune constituents within the neoplastic microhabitat. We identified three drugs with a high sensitivity in the high-risk group. In summary, this discovery establishes the possibility of using 13 cuproptosis-associated lncRNAs as a risk model to assess the prognosis, unravel the immune mechanisms and cell communication, and improve treatment options, which may provide a new idea for treating colon cancer.
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Affiliation(s)
- Jingru Song
- Department of Gastroenterology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310007, Zhejiang, China
| | - Dong Xie
- Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Xia Wei
- Department of Gastroenterology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310007, Zhejiang, China
| | - Binbin Liu
- Department of Gastroenterology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310007, Zhejiang, China
| | - Fang Yao
- Department of Gastroenterology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310007, Zhejiang, China
| | - Wei Ye
- Department of Gastroenterology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310007, Zhejiang, China
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Yu L, Zhou S, Hong W, Lin N, Wang Q, Liang P. Characterization of an endoplasmic reticulum stress-associated lncRNA prognostic signature and the tumor-suppressive role of RP11-295G20.2 knockdown in lung adenocarcinoma. Sci Rep 2024; 14:12283. [PMID: 38811828 PMCID: PMC11137026 DOI: 10.1038/s41598-024-62836-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 05/22/2024] [Indexed: 05/31/2024] Open
Abstract
Endoplasmic reticulum stress (ERS) is commonly induced by accumulating misfolded or unfolded proteins in tumor microenvironment. Long non-coding RNAs (lncRNAs) play important roles in ERS response and lung adenocarcinoma (LUAD) progression. However, the role of ERS-related lncRNAs in LUAD remains unknown. In this study, we aimed to identify ERS-associated lncRNAs with prognostic value in LUAD and characterize their clinical implications. Cox and least absolute shrinkage and selection operator regression analyses identified nine ERS-related lncRNAs with independent prognostic abilities, including five protective factors (CROCCP2, KIAA0125, LINC0996, RPARP-AS1 and TBX5-AS1) and four risk factors (LINC0857, LINC116, RP11-21L23.2 and RP11-295G20.2). We developed an ERS-related lncRNA risk prediction model in predicting overall survival of LUAD patients, which classified TCGA cohorts into high-risk (HS) and low-risk (LS) groups. Comprehensive bioinformatic analyses revealed HS patients featured with late-stage tumors, greater mutation burdens, weaker anti-tumor immunity/responses, and lower sensitivity to targeted drugs compared to LS patients, contributing to tumor progression and a poor prognosis. Functional enrichment analysis implicated these ERS-related lncRNAs in cell migration, cell death, and immunity. Furthermore, expression of the most significantly upregulated risk lncRNA, RP11-295G20.2, was validated at the mRNA level using clinical LUAD samples. Knockdown of RP11-295G20.2 obviously reduced ERS and suppressed proliferation, invasion, and migration of LUAD cells. This novel ERS-related lncRNA signature provides a new biomarker for prognostic prediction, and ERS-associated RP11-295G20.2 serves as a potential therapeutic target in LUAD.
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Affiliation(s)
- Liying Yu
- Central Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.
- Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.
- Pathology Department, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China.
| | - Shuang Zhou
- Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Wencong Hong
- Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Na Lin
- Pathology Department, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Qingshui Wang
- Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, Fuzhou, 350001, China.
| | - Pingping Liang
- Center for Infection and Immunity, Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, 519000, China.
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Guo Z, Zhang X, Yang D, Hu Z, Wu J, Zhou W, Wu S, Zhang W. Gefitinib metabolism-related lncRNAs for the prediction of prognosis, tumor microenvironment and drug sensitivity in lung adenocarcinoma. Sci Rep 2024; 14:10348. [PMID: 38710798 DOI: 10.1038/s41598-024-61175-3] [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: 10/27/2023] [Accepted: 05/02/2024] [Indexed: 05/08/2024] Open
Abstract
The complete compound of gefitinib is effective in the treatment of lung adenocarcinoma. However, the effect on lung adenocarcinoma (LUAD) during its catabolism has not yet been elucidated. We carried out this study to examine the predictive value of gefitinib metabolism-related long noncoding RNAs (GMLncs) in LUAD patients. To filter GMLncs and create a prognostic model, we employed Pearson correlation, Lasso, univariate Cox, and multivariate Cox analysis. We combined risk scores and clinical features to create nomograms for better application in clinical settings. According to the constructed prognostic model, we performed GO/KEGG and GSEA enrichment analysis, tumor immune microenvironment analysis, immune evasion and immunotherapy analysis, somatic cell mutation analysis, drug sensitivity analysis, IMvigor210 immunotherapy validation, stem cell index analysis and real-time quantitative PCR (RT-qPCR) analysis. We built a predictive model with 9 GMLncs, which showed good predictive performance in validation and training sets. The calibration curve demonstrated excellent agreement between the expected and observed survival rates, for which the predictive performance was better than that of the nomogram without a risk score. The metabolism of gefitinib is related to the cytochrome P450 pathway and lipid metabolism pathway, and may be one of the causes of gefitinib resistance, according to analyses from the Gene Set Enrichment Analysis (GSEA), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Immunological evasion and immunotherapy analysis revealed that the likelihood of immune evasion increased with risk score. Tumor microenvironment analysis found most immune cells at higher concentrations in the low-risk group. Drug sensitivity analysis found 23 sensitive drugs. Twenty-one of these drugs exhibited heightened sensitivity in the high-risk group. RT-qPCR analysis validated the characteristics of 9 GMlncs. The predictive model and nomogram that we constructed have good application value in evaluating the prognosis of patients and guiding clinical treatment.
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Affiliation(s)
- Zishun Guo
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College , Nanchang University, 1 Minde Road, Nanchang, 330006, China
| | - Xin Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College , Nanchang University, 1 Minde Road, Nanchang, 330006, China
| | - Dingtao Yang
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College , Nanchang University, 1 Minde Road, Nanchang, 330006, China
| | - Zhuozheng Hu
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College , Nanchang University, 1 Minde Road, Nanchang, 330006, China
| | - Jiajun Wu
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College , Nanchang University, 1 Minde Road, Nanchang, 330006, China
| | - Weijun Zhou
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College , Nanchang University, 1 Minde Road, Nanchang, 330006, China
| | - Shuoming Wu
- Department of Thoracic Surgery, The First People's Hospital of Lianyungang, No. 6, Zhenhua East Road, Lianyungang, 222000, China.
| | - Wenxiong Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital, Jiangxi Medical College , Nanchang University, 1 Minde Road, Nanchang, 330006, China.
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Jiang H, Li B, Wu M, Wang Q, Li Y. Association of the Advanced Lung Cancer Inflammation Index (ALI) and Gustave Roussy Immune (GRIm) score with immune checkpoint inhibitor efficacy in patients with gastrointestinal and lung cancer. BMC Cancer 2024; 24:428. [PMID: 38589844 PMCID: PMC11000368 DOI: 10.1186/s12885-024-12149-1] [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: 11/29/2023] [Accepted: 03/20/2024] [Indexed: 04/10/2024] Open
Abstract
OBJECTIVE This study aimed to conduct a comprehensive analysis, evaluating the prognostic significance of the baseline Advanced Lung Cancer Inflammation Index (ALI) and Gustave Roussy Immune (GRIm) Score in patients undergoing immune checkpoint inhibitor (ICI) therapy. METHODS A comprehensive search was performed across various databases, including PubMed, the Cochrane Library, EMBASE, and Google Scholar, until October 21, 2023, to compile relevant articles for analysis. The investigation encompassed diverse clinical outcomes, including overall survival (OS) and progression-free survival (PFS). RESULTS This analysis included a total of 15 articles, comprising 19 studies involving 3335 patients. Among the 19 studies, nine studies focused on NSCLC, and six studies were conducted on HCC. Pooled results revealed that patients with elevated ALI levels experienced prolonged OS (HR: 0.51, 95% CI: 0.37-0.70, p < 0.001) and extended PFS (HR: 0.61, 95% CI: 0.52-0.72, p < 0.001). Furthermore, a GRIm score > 1 was associated with reduced OS (HR: 2.07, 95% CI: 1.47-2.92, p < 0.001) and diminished PFS (HR: 1.78, 95% CI: 1.35-2.34, p < 0.001) in cancer patients receiving ICIs. Subgroup analysis indicated that ALI cutoff values of 18 exhibited enhanced predictive potential. Additionally, for HCC patients, those with HCC-GRIm score > 2 showed a substantially decreased risk of mortality compared to individuals with HCC-GRIm score ≤ 2 (HR: 2.63, 95% CI: 1.89-3.65, p < 0.001). CONCLUSION The ALI and GRIm score served as dependable prognostic indicators for patients undergoing ICI therapy in the context of cancer treatment.
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Affiliation(s)
- Hao Jiang
- Department of General Surgery, Taizhou Central Hospital (Taizhou University, Hospital), Taizhou, China
| | - Borui Li
- Department of Urologic Surgery, Cancer Hospital of China Medical University (Liaoning Cancer Hospital & Institute), Shenyang, China
| | - Min Wu
- Department of Oncology, The Third People's Hospital of Honghe Prefecture, Gejiu, China
| | - Qimei Wang
- Hunan Academy of Traditional Chinese Medicine, Changsha, China.
| | - Yijin Li
- Department of Colorectal and Anorectal Surgery, Hunan Hospital of Integrated Tradmonal Chinese and Western Medicine (Hunan Academy of Traditional Chinese Medicine Affiliated Hospital), Changsha, China.
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Wang S, Gu X, Xu D, Liu B, Qin K, Yuan X. Comprehensive analysis of m6A modification patterns and m6A-related lncRNAs as potential biomarkers in lung adenocarcinoma. ENVIRONMENTAL TOXICOLOGY 2024; 39:2285-2303. [PMID: 38148718 DOI: 10.1002/tox.24110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 11/27/2023] [Accepted: 12/10/2023] [Indexed: 12/28/2023]
Abstract
BACKGROUND N6-methyladenosine (m6A) methylation is considered to induce tumor cell proliferation, migration, and apoptosis. Understanding the mechanism of m6A-related lncRNAs in the development of lung adenocarcinoma (LUAD) may help predict prognosis. METHODS m6A-related lncRNAs related to lung cancer were identified and combined with the MeRIP-Seq dataset. The consensus clustering method was utilized to divide LUAD patients, and prognostic model was constructed using the Lasso Cox algorithm. The cluster profiler package was used for gene ontology and KEGG enrichment. The proportion of immune infiltration was estimated using the CIBERSORT algorithm. The decision tree was constructed by the rpart package, and nomograms were built by the rms package. The Connectivity Map database was analyzed for the therapeutic effects of small molecule drugs for LUAD. In addition, qPCR, colony formation and transwell assays were performed to validate functions of m6A-associated lncRNAs. RESULTS Nineteen m6A-modified lncRNAs in LUAD were identified. LUAD patients were divided into two categories based on the expression of 19 m6A-related lncRNAs. Cluster 2 patients had better antigen production and expression, while naive B cells, plasma cells, and activated NK cells were lower in cluster 1. Nine m6A-related lncRNAs were selected to establish a risk model for evaluating the prognosis of LUAD patients. The high-risk group had higher tumor mutational burden and lower TIDE scores with more gamma delta T cells and neutrophils. Nomograms showed that the prognostic model had predominant predictive ability for LUAD patients based on the risk score analyzed by the decision tree model. Benzo(a)pyrene and neurodazine might improve the prognosis of LUAD patients. The qRT-PCR results confirmed the reliability of the analytical results. CONCLUSION The establishment of a prognostic model of m6A-related lncRNAs can independently predict overall survival in LUAD and may help to develop personalized immunotherapy strategies.
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Affiliation(s)
- Sheng Wang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuyu Gu
- Department of Oncology, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Duo Xu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Bo Liu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Kai Qin
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xianglin Yuan
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Wu Z, Cheng F, Yuan L, Li X, Li Z, Huang Z, Mao S, Chen X, Wang J, Lai B, Shen W. CYP1B1-AS1 Delays the Malignant Progression of Colorectal Cancer by Binding with NOP58. Dig Dis Sci 2024; 69:437-452. [PMID: 38087130 DOI: 10.1007/s10620-023-08206-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 11/22/2023] [Indexed: 02/15/2024]
Abstract
BACKGROUND Colorectal cancer (CRC) is a prevalent type of gastrointestinal cancer, and its poor prognosis is mainly attributed to the occurrence of invasion and metastasis. CYP1B1-AS1, as non-coding RNA, plays an important role in tumorigenesis and progression. However, the mechanism by which CYP1B1-AS1 acts in CRC is not yet understood. AIMS The objective of this study was to investigate how CYP1B1-AS1 contributes to the development of CRC, and provide a base for CRC diagnosis and treatment. METHODS RT-qPCR was used to detect the expression level of CYP1B1-AS1 in CRC and adjacent tissues. CCK-8, Edu, scratch healing, and transwell experiments were used to detect the changes of proliferation, migration, and invasion ability of CRC cells after overexpression or knockdown of CYP1B1-AS1 respectively. The RNA binding protein NOP58 combined with CYP1B1-AS1 was verified by RIP and RNA Pull-down experiments. Functional recovery experiments validated the interaction between CYP1B1-AS1 and NOP58 in CRC cells. The changes of EMT-related proteins were detected by Western blot, and the half-life of transcription factor SNAIL mRNA were detected by RT-qPCR after overexpression or knockdown of NOP58. RESULTS CYP1B1-AS1 was found to be significantly downregulated in CRC compared to adjacent noncancerous tissues. Experiments conducted in vitro and in vivo confirmed that upregulation of CYP1B1-AS1 significantly inhibited the proliferation, migration, and invasion of CRC cells. In addition, CYP1B1-AS1 can directly bind to NOP58 and negatively regulate NOP58. The effect of overexpression CYP1B1-AS1 was reversed by NOP58 overexpression. NOP58 regulates the EMT process of CRC cells by affecting the stability of EMT-related transcription factor SNAIL mRNA, and then affects the progress of CRC. CONCLUSION This research proves that CYP1B1-AS1 can inhibit the occurrence of EMT in CRC by binding with NOP58, thus delaying the progress of CRC. This finding indicates that CYP1B1-AS1 may be a novel biomarker to improve the diagnosis and treatment of CRC.
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Affiliation(s)
- Zhao Wu
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Fei Cheng
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi, China
| | - Lebin Yuan
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Xiaodong Li
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Zhigang Li
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Zeyu Huang
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Shengping Mao
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Xing Chen
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi, China
- The Second Clinical Medical College of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Jiwei Wang
- Department of Ultrasound, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Bin Lai
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi, China
| | - Wei Shen
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, No.1 Minde Road, Nanchang, 330006, Jiangxi, China.
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He X, Xu Z, Ren R, Wan P, Zhang Y, Wang L, Han Y. A novel sphingolipid metabolism-related long noncoding RNA signature predicts the prognosis, immune landscape and therapeutic response in pancreatic adenocarcinoma. Heliyon 2024; 10:e23659. [PMID: 38173505 PMCID: PMC10761810 DOI: 10.1016/j.heliyon.2023.e23659] [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: 03/26/2023] [Revised: 11/23/2023] [Accepted: 12/09/2023] [Indexed: 01/05/2024] Open
Abstract
Sphingolipid metabolism affects prognosis and resistance to immunotherapy in patients with cancer and is an emerging target in cancer therapy with promising diagnostic and prognostic value. Long noncoding ribonucleic acids (lncRNAs) broadly regulate tumour-associated metabolic reprogramming. However, the potential of sphingolipid metabolism-related lncRNAs in pancreatic adenocarcinoma (PAAD) is poorly understood. In this study, coexpression algorithms were employed to identify sphingolipid metabolism-related lncRNAs. The least absolute shrinkage and selection operator (LASSO) algorithm was used to develop a sphingolipid metabolism-related lncRNA signature (SMLs). The prognostic predictive stability of the SMLs was validated using Kaplan-Meier. Univariate and multivariate Cox, receiver operating characteristic (ROC) and clinical stratification analyses were used to comprehensively assess the SMLs. Gene set variation analysis (GSVE), gene ontology (GO) and tumor mutation burden (TMB) analysis explored the potential mechanisms. Additionally, single sample gene set enrichment analysis (ssGSEA), ESTIMATE, immune checkpoints and drug sensitivity analysis were used to investigate the potential predictive function of the SMLs. Finally, an SMLs-based consensus clustering algorithm was utilized to differentiate patients and determine the suitable population for immunotherapy. The results showed that the SMLs consists of seven sphingolipid metabolism-related lncRNAs, which can well determine the clinical outcome of individuals with PAAD, with high stability and general applicability. In addition, the SMLs-based consensus clustering algorithm divided the TCGA-PAAD cohort into two clusters, with Cluster 1 showing better survival than Cluster 2. Additionally, Cluster 1 had a higher level of immune cell infiltration than Cluster 2, which combined with the higher levels of immune checkpoints in Cluster 1 suggests that Cluster 1 is more consistent with an immune 'hot tumor' profile and may respond better to immune checkpoint inhibitors (ICIs). This study offers new insights regarding the potential role of sphingolipid metabolism-related lncRNAs as biomarkers in PAAD. The constructed SMLs and the SMLs-based clustering are valuable tools for predicting clinical outcomes in PAAD and provide a basis for clinical selection of individualized treatments.
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Affiliation(s)
- Xiaolan He
- Department of Chemoradiotherapy, The Affiliated People's Hospital of Ningbo University, Ningbo, China
| | - Zhengyang Xu
- Department of Chemoradiotherapy, The Affiliated People's Hospital of Ningbo University, Ningbo, China
| | - Ruiping Ren
- Department of Chemoradiotherapy, The Affiliated People's Hospital of Ningbo University, Ningbo, China
| | - Peng Wan
- Department of Chemoradiotherapy, The Affiliated People's Hospital of Ningbo University, Ningbo, China
| | - Yu Zhang
- Department of Chemoradiotherapy, The Affiliated People's Hospital of Ningbo University, Ningbo, China
| | - Liangliang Wang
- Department of Chemoradiotherapy, The Affiliated People's Hospital of Ningbo University, Ningbo, China
| | - Ying Han
- Department of Chemoradiotherapy, The Affiliated People's Hospital of Ningbo University, Ningbo, China
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ZHANG Y, WANG Y, LIU M. [Study on the Role and Mechanism of METTL3 Mediating the Up-regulation of
m6A Modified Long Non-coding RNA THAP7-AS1 in Promoting the Occurrence of
Lung Cancer]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2024; 26:919-933. [PMID: 38163978 PMCID: PMC10767667 DOI: 10.3779/j.issn.1009-3419.2023.102.45] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Lung cancer is a major threat to human health. The molecular mechanisms related to the occurrence and development of lung cancer are complex and poorly known. Exploring molecular markers related to the development of lung cancer is helpful to improve the effect of early diagnosis and treatment. Long non-coding RNA (lncRNA) THAP7-AS1 is known to be highly expressed in gastric cancer, but has been less studied in other cancers. The aim of the study is to explore the role and mechanism of methyltransferase-like 3 (METTL3) mediated up-regulation of N6-methyladenosine (m6A) modified lncRNA THAP7-AS1 expression in promoting the development of lung cancer. METHODS Samples of 120 lung cancer and corresponding paracancerous tissues were collected. LncRNA microarrays were used to analyze differentially expressed lncRNAs. THAP7-AS1 levels were detected in lung cancer, adjacent normal tissues and lung cancer cell lines by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). The diagnostic value of THAP7-AS1 in lung cancer and the relationship between THAP7-AS1 expression and survival rate and clinicopathological parameters were analyzed. Bioinformatics analysis, methylated RNA immunoprecipitation (meRIP), RNA pull-down and RNA-immunoprecipitation (RIP) assay were used to investigate the molecular regulation mechanism of THAP7-AS1. Cell proliferation, migration, invasion and tumorigenesis of SPC-A-1 and NCI-H1299 cells were determined by MTS, colony-formation, scratch, Transwell and xenotransplantation in vivo, respectively. Expression levels of phosphoinositide 3-kinase/protein kenase B (PI3K/AKT) signal pathway related protein were detected by Western blot. RESULTS Expression levels of THAP7-AS1 were higher in lung cancer tissues and cell lines (P<0.05). THAP7-AS1 has certain diagnostic value in lung cancer [area under the curve (AUC)=0.737], and its expression associated with overall survival rate, tumor size, tumor-node-metastasis (TNM) stage and lymph node metastasis (P<0.05). METTL3-mediated m6A modification enhanced THAP7-AS1 expression. The cell proliferation, migration, invasion and the volume and mass of transplanted tumor were all higher in the THAP7-AS1 group compared with the NC group and sh-NC group of SPC-A-1 and NCI-H1299 cells, while the cell proliferation, migration and invasion were lower in the sh-THAP7-AS1 group (P<0.05). THAP7-AS1 binds specifically to Cullin 4B (CUL4B). The cell proliferation, migration, invasion, and expression levels of phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), phosphoinositide-3 kinase, catalytic subunit delta (PIK3CD), phospho-phosphatidylinositol 3-kinase (p-PI3K), phospho-protein kinase B (p-AKT) and phospho-mammalian target of rapamycin (p-mTOR) were higher in the THAP7-AS1 group compared with the Vector group of SPC-A-1 and NCI-H1299 cells (P<0.05). CONCLUSIONS LncRNA THAP7-AS1 is stably expressed through m6A modification mediated by METTL3, and combines with CUL4B to activate PI3K/AKT signal pathway, which promotes the occurrence and development of lung cancer.
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Lilong Z, Kuang T, Li M, Li X, Hu P, Deng W, Wang W. Sarcopenia affects the clinical efficacy of immune checkpoint inhibitors in patients with gastrointestinal cancers. Clin Nutr 2024; 43:31-41. [PMID: 38000193 DOI: 10.1016/j.clnu.2023.11.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 11/09/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023]
Abstract
OBJECTIVE The impact of sarcopenia on the efficacy of immune checkpoint inhibitors (ICI) in gastrointestinal cancer (GIC) patients remains uncertain in clinical practice. Hence, this study aims to investigate the potential correlation between sarcopenia and the clinical outcomes of GIC patients treated with ICIs. METHODS To gather pertinent studies, a systematic literature search was implemented across multiple databases, including PubMed, Embase, the Cochrane Library, and Google Scholar. The primary outcomes of interest were overall survival (OS) and progression-free survival (PFS), measured with the hazard ratio (HR). And the secondary outcomes, including disease control rate (DCR), overall response rate (ORR), and adverse events (AE), were evaluated with the odd ratio (OR). RESULTS A total of 13 articles involving 1294 patients were collected for this analysis. The pooled results revealed that GIC patients with sarcopenia had significantly poorer OS (HR = 1.697, 95% CI = 1.367-2.106, p < 0.001) and PFS (HR: 1.551, 95% CI: 1.312-1.833, p < 0.001), and lower ORR (OR = 0.594, 95% CI = 0.388-0.909, p = 0.016) and DCR (OR: 0.553, 95% CI: 0.360-0.850, p = 0.007) compared to those without sarcopenia. However, sarcopenia did not increase the incidence of treatment-related adverse events compared with non-sarcopenia (OR = 1.377, 95% CI = 0.693-2.737, p = 0.361). According to subgroup analysis, the association between sarcopenia and the therapeutic effect of ICI on patients with primary liver cancer or gastric cancer was consistent with the above findings. CONCLUSION Sarcopenia is significantly correlated with poorer treatment response and worse long-term efficacy in GIC patients treated with ICIs. Moreover, sarcopenia does not increase the incidence of adverse events.
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Affiliation(s)
- Zhang Lilong
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Key Laboratory of Digestive System Disease, Wuhan, China; Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
| | - Tianrui Kuang
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Key Laboratory of Digestive System Disease, Wuhan, China; Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
| | - Man Li
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Key Laboratory of Digestive System Disease, Wuhan, China
| | - Xinyi Li
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Key Laboratory of Digestive System Disease, Wuhan, China; Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
| | - Peng Hu
- Department of Emergency, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Key Laboratory of Digestive System Disease, Wuhan, China
| | - Wenhong Deng
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Key Laboratory of Digestive System Disease, Wuhan, China.
| | - Weixing Wang
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Key Laboratory of Digestive System Disease, Wuhan, China.
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Wang J, Shu J. Construction of RNA Methylation Modification-immune-related lncRNA Molecular Subtypes and Prognostic Scoring System in Lung Adenocarcinoma. Curr Med Chem 2024; 31:1539-1560. [PMID: 37680151 DOI: 10.2174/0929867331666230901110629] [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: 05/31/2023] [Revised: 07/13/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023]
Abstract
BACKGROUND RNA methylation modification is not only intimately interrelated with cancer development and progression but also actively influences immune cell infiltration in the tumor microenvironment (TME). RNA methylation modification genes influence the therapeutic progression of lung adenocarcinoma (LUAD), and mining RNA methylation modification prognosis-related markers in LUAD is crucial for its precise prognosis. METHODS RNA-Seq data and Gene sets were collected from online databases or published literature. Genomic variation analysis was conducted by the Maftools package. RNA methylation-immune-related lncRNAs were obtained by Pearson correlation analysis. Then, Consistent clustering analysis was performed to obtain RNA methylation modification- immune molecular subtypes (RMM-I Molecular subtypes) in LUAD based on selected lncRNAs. COX and random survival forest analysis were carried out to construct the RMM-I Score. The receiver operating characteristic (ROC) curve and Kaplan Meier survival analysis were used to assess survival differences. Tumor immune microenvironment was assessed through related gene signatures and CIBERSORT algorithm. In addition, drug sensitivity analysis was executed by the pRRophetic package. RESULTS Four RNA methylation modified-immune molecular subtypes (RMM-I1, RMM- I2, RMM-I3, RMM-I4) were presented in LUAD. Patients in RMM-I4 exhibited excellent survival advantages and immune activity. HAVCR2, CD274, and CTLA-4 expression were activated in RMM-I4, which might be heat tumors and a potential beneficial group for immunotherapy. OGFRP1, LINC01116, DLGAP1-AS2, CRNDE, LINC01137, MIR210HG, and CYP1B1-AS1 comprised the RMM-I Score. The RMM-I Score exhibited excellent accuracy in the prognostic assessment of LUAD, as patients with a low RMM- I Score exhibited remarkable survival advantage. Patients with a low RMM-I score might be more sensitive to treatment with Docetaxel, Vinorelbine, Paclitaxel, Cisplatin, and immunotherapy. CONCLUSION The RMM-I molecular subtype constituted the novel molecular characteristic subtype of LUAD, which complemented the existing pathological typing. More refined and accurate molecular subtypes provide help to reveal the mechanism of LUAD development. In addition, the RMM-I score offers a reliable tool for accurate prognosis of LUAD.
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Affiliation(s)
- Jiajing Wang
- Department of Clinical Laboratory, Beilun People's Hospital, Ningbo, 315000, China
| | - Jianfeng Shu
- Huamei Hospital, University of Chinese Academy of Sciences, Ningbo, 315000, China
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Ao YQ, Gao J, Jiang JH, Wang HK, Wang S, Ding JY. Comprehensive landscape and future perspective of long noncoding RNAs in non-small cell lung cancer: it takes a village. Mol Ther 2023; 31:3389-3413. [PMID: 37740493 PMCID: PMC10727995 DOI: 10.1016/j.ymthe.2023.09.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/01/2023] [Accepted: 09/17/2023] [Indexed: 09/24/2023] Open
Abstract
Long noncoding RNAs (lncRNAs) are a distinct subtype of RNA that lack protein-coding capacity but exert significant influence on various cellular processes. In non-small cell lung cancer (NSCLC), dysregulated lncRNAs act as either oncogenes or tumor suppressors, contributing to tumorigenesis and tumor progression. LncRNAs directly modulate gene expression, act as competitive endogenous RNAs by interacting with microRNAs or proteins, and associate with RNA binding proteins. Moreover, lncRNAs can reshape the tumor immune microenvironment and influence cellular metabolism, cancer cell stemness, and angiogenesis by engaging various signaling pathways. Notably, lncRNAs have shown great potential as diagnostic or prognostic biomarkers in liquid biopsies and therapeutic strategies for NSCLC. This comprehensive review elucidates the significant roles and diverse mechanisms of lncRNAs in NSCLC. Furthermore, we provide insights into the clinical relevance, current research progress, limitations, innovative research approaches, and future perspectives for targeting lncRNAs in NSCLC. By summarizing the existing knowledge and advancements, we aim to enhance the understanding of the pivotal roles played by lncRNAs in NSCLC and stimulate further research in this field. Ultimately, unraveling the complex network of lncRNA-mediated regulatory mechanisms in NSCLC could potentially lead to the development of novel diagnostic tools and therapeutic strategies.
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Affiliation(s)
- Yong-Qiang Ao
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Gao
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jia-Hao Jiang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hai-Kun Wang
- CAS Key Laboratory of Molecular Virology and Immunology, Institute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China
| | - Shuai Wang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Jian-Yong Ding
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
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Zhu M, Zhang N, Ma J. Hierarchical clustering identifies oxidative stress-related subgroups for the prediction of prognosis and immune microenvironment in gastric cancer. Heliyon 2023; 9:e20804. [PMID: 37928388 PMCID: PMC10622623 DOI: 10.1016/j.heliyon.2023.e20804] [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: 11/05/2022] [Revised: 09/12/2023] [Accepted: 10/06/2023] [Indexed: 11/07/2023] Open
Abstract
Background Gastric cancer (GC) is a prevalent malignancy of the digestive tract globally, demonstrating a substantial occurrence of relapse and metastasis, alongside the absence of efficacious treatment. Tumor progression and the development of cancer are linked to oxidative stress. Our objective was twofold: first, to determine distinct subcategories based on oxidative stress in GC patients, and second, to establish oxidative stress-related genes that would aid in stratifying the risk for GC patients. Methods TCGA-STAD and GSE84437 datasets were utilized to obtain the mRNA expression profiles and corresponding clinical information of GC patients. Through consensus clustering analysis, distinct subgroups related to oxidative stress were identified. To uncover the underlying mechanisms, GSEA and GSVA were performed. xCell, CIBERSORT, MCPCounter, and TIMER algorithms were employed to evaluate the immune microenvironment and immune status of the different GC subtypes. A prognostic risk model was developed using the TCGA-STAD dataset and substantiated using the GSE84437 dataset. Furthermore, qRT-PCR was employed to validate the expression of genes associated with prognosis. Results Two distinct subtypes of oxidative stress were discovered, with markedly different survival rates. The C1 subtype demonstrated an activated immune signal pathway, a significant presence of immune cell infiltration, high immune score, and a high microenvironment score, indicating a poor prognosis. Moreover, a prognostic signature related to oxidative stress (IMPACT and PXDN) was able to accurately estimate the likelihood of survival for patients with gastric cancer. A nomogram incorporating the patients' gender, age, and risk score was able to predict survival in gastric cancer patients. Additionally, the expression of IMPACT and PXDN showed a strong correlation with overall survival and the infiltration of immune cells. Conclusion Based on signatures related to oxidative stress, we developed an innovative system for categorizing patients with GC. This stratification enables accurate prognostication of individuals with GC.
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Affiliation(s)
- Meng Zhu
- College of Basic Medicine, Ningxia Medical University, Ningxia, Yinchuan, 750004, China
| | - Ning Zhang
- Department of pathology, General Hospital of Ningxia Medical University, Ningxia, Yinchuan, 750004, China
| | - Jingwei Ma
- The second department of tumor surgery, General Hospital of Ningxia Medical University, Ningxia, Yinchuan, 750004, China
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Zhan DT, Xian HC. Exploring the regulatory role of lncRNA in cancer immunity. Front Oncol 2023; 13:1191913. [PMID: 37637063 PMCID: PMC10448763 DOI: 10.3389/fonc.2023.1191913] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 07/24/2023] [Indexed: 08/29/2023] Open
Abstract
Imbalanced immune homeostasis in cancer microenvironment is a hallmark of cancer. Increasing evidence demonstrated that long non-coding RNAs (lncRNAs) have emerged as key regulatory molecules in directly blocking the cancer immunity cycle, apart from activating negative regulatory pathways for restraining tumor immunity. lncRNAs reshape the tumor microenvironment via the recruitment and activation of innate and adaptive lymphoid cells. In this review, we summarized the versatile mechanisms of lncRNAs implicated in cancer immunity cycle, including the inhibition of antitumor T cell activation, blockade of effector T cell recruitment, disruption of T cell homing, recruitment of immunosuppressive cells, and inducing an imbalance between antitumor effector cells (cytotoxic T lymphocytes, M1 macrophages, and T helper type 1 cells) versus immunosuppressive cells (M2 macrophages, T helper type 2 cells, myeloid derived suppressor cells, and regulatory T cells) that infiltrate in the tumor. As such, we would highlight the potential of lncRNAs as novel targets for immunotherapy.
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Affiliation(s)
- Dan-ting Zhan
- Department of Prosthodontics, Affiliated Stomatological Hospital of Southwest Medical University, Luzhou, China
| | - Hong-chun Xian
- Department of Plastic and Maxillofacial Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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15
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He Y, Cao N, Tian Y, Wang X, Xiao Q, Tang X, Huang J, Zhu T, Hu C, Zhang Y, Deng J, Yu H, Duan P. Development and validation of two redox-related genes associated with prognosis and immune microenvironment in endometrial carcinoma. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2023; 20:10339-10357. [PMID: 37322935 DOI: 10.3934/mbe.2023453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
In recent studies, the tumourigenesis and development of endometrial carcinoma (EC) have been correlated significantly with redox. We aimed to develop and validate a redox-related prognostic model of patients with EC to predict the prognosis and the efficacy of immunotherapy. We downloaded gene expression profiles and clinical information of patients with EC from the Cancer Genome Atlas (TCGA) and the Gene Ontology (GO) dataset. We identified two key differentially expressed redox genes (CYBA and SMPD3) by univariate Cox regression and utilised them to calculate the risk score of all samples. Based on the median of risk scores, we composed low-and high-risk groups and performed correlation analysis with immune cell infiltration and immune checkpoints. Finally, we constructed a nomogram of the prognostic model based on clinical factors and the risk score. We verified the predictive performance using receiver operating characteristic (ROC) and calibration curves. CYBA and SMPD3 were significantly related to the prognosis of patients with EC and used to construct a risk model. There were significant differences in survival, immune cell infiltration and immune checkpoints between the low-and high-risk groups. The nomogram developed with clinical indicators and the risk scores was effective in predicting the prognosis of patients with EC. In this study, a prognostic model constructed based on two redox-related genes (CYBA and SMPD3) were proved to be independent prognostic factors of EC and associated with tumour immune microenvironment. The redox signature genes have the potential to predict the prognosis and the immunotherapy efficacy of patients with EC.
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Affiliation(s)
- Yan He
- Postgraduate Union Training Base of Jinzhou Medical University, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
- Affiliation Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetrics and Gynaecology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
| | - Nannan Cao
- Affiliation Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetrics and Gynaecology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
| | - Yanan Tian
- Postgraduate Union Training Base of Jinzhou Medical University, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
- Affiliation Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetrics and Gynaecology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
| | - Xuelin Wang
- Affiliation Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetrics and Gynaecology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
| | - Qiaohong Xiao
- Affiliation Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetrics and Gynaecology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
| | - Xiaojuan Tang
- Department of Radiography center, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, China
| | - Jiaolong Huang
- Affiliation Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetrics and Gynaecology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
| | - Tingting Zhu
- Affiliation Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetrics and Gynaecology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
| | - Chunhui Hu
- Department of Clinical Laboratory, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
| | - Ying Zhang
- Laboratory of Medical Genetics, Harbin Medical University, Harbin 150000, China
| | - Jie Deng
- Affiliation Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetrics and Gynaecology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
| | - Han Yu
- Affiliation Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetrics and Gynaecology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
- Department of Pathology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
| | - Peng Duan
- Affiliation Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetrics and Gynaecology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang 441000, China
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Yao Y, Yang F, Chen A, Hua Q, Gao W. Costimulatory molecule-related lncRNA model as a potential prognostic biomarker in non-small cell lung cancer. Cancer Med 2023; 12:6419-6436. [PMID: 36305249 PMCID: PMC10028169 DOI: 10.1002/cam4.5391] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 09/14/2022] [Accepted: 10/16/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE Costimulatory molecules have been demonstrated to exert essential roles in multiple cancers. However, their role in lung cancer remains elusive. Here, we sought to identify costimulatory molecule-related lncRNAs in non-small cell lung cancer (NSCLC) and establish a prognostic signature to predict the prognosis of patients with NSCLC. METHODS A total of 535 lung adenocarcinoma (LUAD) and 502 lung squamous cell carcinoma (LUSC) patients from the cancer genome atlas (TCGA) database were recruited. A novel costimulatory molecule-based lncRNA prognostic model was constructed using the least absolute shrinkage and selection operator (LASSO) algorithm to predict the overall survival. The Homo_sapiens.GRCh38 data set was set as a reference file for probe annotation. RESULTS A total of 593 costimulatory molecule-related lncRNAs were extracted. After analysis, six costimulatory molecule-related lncRNAs (AC084859.1, AC079949.2, HSPC324, LINC01150, LINC01150, and AC090617.5) were screened. A prognostic model based on the six lncRNAs was established using systematic bioinformatics analyses. The prognostic model had a prognostic value in NSCLC patients. Furthermore, a prognostic nomogram was established based on clinical parameters and a risk-score model. Patients with different risk scores had considerably different tumor-infiltrating immune cells, somatic mutational loading, clinical outcomes, signaling pathways, and immunotherapy efficacy. In addition, LINC01137 was associated with unfavorable disease outcomes and fueled tumor progression in NSCLC. CONCLUSION Taken together, our study demonstrated that a costimulatory molecule-related lncRNA model could be a potential prognostic biomarker in NSCLC. Moreover, LINC01137 could facilitate the proliferation and invasion of lung cancer.
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Affiliation(s)
- Yuanshan Yao
- Department of Thoracic Surgery, Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, China
- Department of Thoracic Oncology, Ningbo No. 2 Hospital, Ningbo, China
| | - Fuzhi Yang
- Department of Thoracic Surgery, Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Anna Chen
- Ningbo CRRC Times Transducer Technology Co., Ltd., Ningbo, China
| | - Qingwang Hua
- Department of Thoracic Oncology, Ningbo No. 2 Hospital, Ningbo, China
| | - Wen Gao
- Department of Thoracic Surgery, Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, China
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Li L, Cai Q, Wu Z, Li X, Zhou W, Lu L, Yi B, Chang R, Zhang H, Cheng Y, Zhang C, Zhang J. Bioinformatics construction and experimental validation of a cuproptosis-related lncRNA prognostic model in lung adenocarcinoma for immunotherapy response prediction. Sci Rep 2023; 13:2455. [PMID: 36774446 PMCID: PMC9922258 DOI: 10.1038/s41598-023-29684-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 02/08/2023] [Indexed: 02/13/2023] Open
Abstract
Cuproptosis is a newly form of cell death. Cuproptosis related lncRNA in lung adenocarcinoma (LUAD) has also not been fully elucidated. In the present study, we aimed to construct a prognostic signature based on cuproptosis-related lncRNA in LUAD and investigate its association with immunotherapy response. The RNA-sequencing data, clinical information and simple nucleotide variation of LUAD patients were obtained from TCGA database. The LASSO Cox regression was used to construct a prognostic signature. The CIBERSORT, ESTIMATE and ssGSEA algorithms were applied to assess the association between risk score and TME. TIDE score was applied to reflect the efficiency of immunotherapy response. The influence of overexpression of lncRNA TMPO-AS1 on A549 cell was also assessed by in vitro experiments. The lncRNA prognostic signature included AL606834.1, AL138778.1, AP000302.1, AC007384.1, AL161431.1, TMPO-AS1 and KIAA1671-AS1. Low-risk group exhibited much higher immune score, stromal score and ESTIMATE score, but lower tumor purity compared with high-risk groups. Also, low-risk group was associated with a much higher score of immune cells and immune related function sets, indicating an immune activation state. Low-risk patients had relative higher TIDE score and lower TMB. External validation using IMvigor210 immunotherapy cohort demonstrated that low-risk group had a better prognosis and might more easily benefit from immunotherapy. Overexpression of lncRNA TMPO-AS1 promoted the proliferation, migration and invasion of A549 cell line. The novel cuproptosis-related lncRNA signature could predict the prognosis of LUAD patients, and helped clinicians stratify patients appropriate for immunotherapy and determine individual therapeutic strategies.
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Affiliation(s)
- Linfeng Li
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Qidong Cai
- Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Zeyu Wu
- Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Xizhe Li
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Wolong Zhou
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Liqing Lu
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Bin Yi
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Ruimin Chang
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Heng Zhang
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Yuanda Cheng
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Chunfang Zhang
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Junjie Zhang
- Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
- Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
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Peng H, Li X, Luan Y, Wang C, Wang W. A novel prognostic model related to oxidative stress for treatment prediction in lung adenocarcinoma. Front Oncol 2023; 13:1078697. [PMID: 36798829 PMCID: PMC9927401 DOI: 10.3389/fonc.2023.1078697] [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: 10/24/2022] [Accepted: 01/05/2023] [Indexed: 02/01/2023] Open
Abstract
Background The prognostic model based on oxidative stress for lung adenocarcinoma (LUAD) remains unclear. Methods The information of LUAD patients were acquired from TCGA dataset. We also collected two external datasets from GEO for verification. Oxidative stress-related genes (ORGs) were extracted from Genecards. We performed machine learning algorithms, including Univariate Cox regression, Random Survival Forest, and Least Absolute Shrinkage and Selection Operator (Lasso) analyses on the ORGs to build the OS-score and OS-signature. We drew the Kaplan-Meier and time-dependent receiver operating characteristic curve (ROC) to evaluate the efficacy of the OS-signature in predicting the prognosis of LUAD. We used GISTIC 2.0 and maftool algorithms to explore Genomic mutation of OS-signature. To analyze characteristic of tumor infiltrating immune cells, ESTIMATE, TIMER2.0, MCPcounter and ssGSEA algorithms were applied, thus evaluating the immunotherapeutic strategies. Chemotherapeutics sensitivity analysis was based on pRRophetic package. Finally, PCR assays was also used to detect the expression values of related genes in the OS-signature in cell lines. Results Ten ORGs with prognostic value and the OS-signature containing three prognostic ORGs were identified. The significantly better prognosis of LUAD patients was observed in LUAD patients. The efficiency and accuracy of OS-signature in predicting prognosis for LUAD patients was confirmed by survival ROC curves and two external validation data sets. It was clearly observed that patients with high OS-scores had lower immunomodulators levels (with a few exceptions), stromal score, immune score, ESTIMATE score and infiltrating immune cell populations. On the contrary, patients with higher OS-scores were more likely to have higher tumor purity. PCR assays showed that, MRPL44 and CYCS were significantly higher expressed in LUAD cell lines, while CAT was significantly lower expressed. Conclusion The novel oxidative stress-related model we identified could be used for prognosis and treatment prediction in lung adenocarcinoma.
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Affiliation(s)
| | | | | | | | - Wei Wang
- Department of Thoracic Surgery, Hebei Chest Hospital, Hebei Provincial Key Laboratory of Lung Disease, Shijiazhuang, Hebei, China
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Miao Y, Yuan Q, Wang C, Feng X, Ren J, Wang C. Comprehensive Characterization of RNA-Binding Proteins in Colon Adenocarcinoma Identifies a Novel Prognostic Signature for Predicting Clinical Outcomes and Immunotherapy Responses Based on Machine Learning. Comb Chem High Throughput Screen 2023; 26:163-182. [PMID: 35379120 DOI: 10.2174/1386207325666220404125228] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 02/17/2022] [Accepted: 02/18/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND RNA-binding proteins (RBPs) are crucial factors that function in the posttranscriptional modification process and are significant in cancer. OBJECTIVE This research aimed for a multigene signature to predict the prognosis and immunotherapy response of patients with colon adenocarcinoma (COAD) based on the expression profile of RNA-binding proteins (RBPs). METHODS COAD samples retrieved from the TCGA and GEO datasets were utilized for a training dataset and a validation dataset. Totally, 14 shared RBP genes with prognostic significance were identified. Non-negative matrix factorization clusters defined by these RBPs could stratify COAD patients into two molecular subtypes. Cox regression analysis and identification of 8-gene signature categorized COAD patients into high- and low-risk populations with significantly different prognosis and immunotherapy responses. RESULTS Our prediction signature was superior to another five well-established prediction models. A nomogram was generated to quantificationally predict the overall survival (OS) rate, validated by calibration curves. Our findings also indicated that high-risk populations possessed an enhanced immune evasion capacity and low-risk populations might benefit immunotherapy, especially for the joint combination of PD-1 and CTLA4 immunosuppressants. DHX15 and LARS2 were detected with significantly different expressions in both datasets, which were further confirmed by qRTPCR and immunohistochemical staining. CONCLUSION Our observations supported an eight-RBP-related signature that could be applied for survival prediction and immunotherapy response of patients with COAD.
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Affiliation(s)
- Ye Miao
- Department of Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Department of Neurosurgery, First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China
- Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Qihang Yuan
- Department of Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Chao Wang
- Department of Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Xiaoshi Feng
- Department of Endocrinology, First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Jie Ren
- Department of Oncology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Changmiao Wang
- Department of Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
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20
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Zeng J, Wu Z, Luo M, Xu X, Bai W, Xie G, Chen Q, Liang D, Xu Z, Chen M, Xie J. Development and validation of an endoplasmic reticulum stress long non-coding RNA signature for the prognosis and immune landscape prediction of patients with lung adenocarcinoma. Front Genet 2023; 14:1024444. [PMID: 36891153 PMCID: PMC9986451 DOI: 10.3389/fgene.2023.1024444] [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: 08/21/2022] [Accepted: 02/07/2023] [Indexed: 02/22/2023] Open
Abstract
Background: Lung adenocarcinoma (LUAD), the most common histotype of lung cancer, may have variable prognosis due to molecular variations. This work investigated long non-coding RNA (lncRNA) related to endoplasmic reticulum stress (ERS) to predict the prognosis and immune landscape for LUAD patients. Methods: RNA data and clinical data from 497 LUAD patients were collected in the Cancer Genome Atlas database. Pearson correlation analysis, univariate Cox regression, least absolute shrinkage and selection operator regression analyses, as well as the Kaplan-Meier method, were used to screen for ERS-related lncRNAs associated with prognosis. The risk score model was developed using multivariate Cox analysis to separate patients into high- and low-risk groups and a nomogram was constructed and evaluated. Finally, we explore the potential functions and compared the immune landscapes of two groups. Quantitative real-time PCR was used to verify the expression of these lncRNAs. Results: Five ERS-related lncRNAs were shown to be strongly linked to patients' prognosis. A risk score model was built by using these lncRNAs to categorize patients based on their median risk scores. For LUAD patients, the model was found to be an independent prognostic predictor (p < 0.001). The signature and clinical variables were then used to construct a nomogram. With 3-year and 5-year OS' AUC of 0.725 and 0.740, respectively, the nomogram's prediction performance is excellent. The 5-lncRNA signature was associated with DNA replication, epithelial-mesenchymal transition, and the pathway of cell cycle, P53 signaling. Between the two risk groups, immune responses, immune cells, and immunological checkpoints were found to be considerably different. Conclusion: Overall, our findings indicate that the 5 ERS-related lncRNA signature was an excellent prognostic indicator and helped to predict the immunotherapy response for patients with LUAD.
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Affiliation(s)
- Jie Zeng
- Department of Thoracic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Zhenyu Wu
- Department of Urology, The First People's Hospital of Foshan, Foshan, China
| | - Meijuan Luo
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xie Xu
- Department of Thoracic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Wenjie Bai
- Department of Thoracic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Guijing Xie
- Department of Thoracic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Quhai Chen
- Department of Thoracic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Dengfeng Liang
- Department of Thoracic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Zixun Xu
- Department of Thoracic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Mindong Chen
- Department of Thoracic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
| | - Jianjiang Xie
- Department of Thoracic Surgery, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China
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21
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Zhu L, Wang Y, Yuan X, Ma Y, Zhang T, Zhou F, Yu G. Effects of immune inflammation in head and neck squamous cell carcinoma: Tumor microenvironment, drug resistance, and clinical outcomes. Front Genet 2022; 13:1085700. [PMID: 36579330 PMCID: PMC9790931 DOI: 10.3389/fgene.2022.1085700] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022] Open
Abstract
Background: Head and neck squamous cell carcinoma (HNSCC) is a malignant tumor with a very high mortality rate, and a large number of studies have confirmed the correlation between inflammation and malignant tumors and the involvement of inflammation-related regulators in the progression of HNSCC. However, a prognostic model for HNSCC based on genes involved in inflammatory factors has not been established. Methods: First, we downloaded transcriptome data and clinical information from patients with head and neck squamous cell carcinoma from TCGA and GEO (GSE41613) for data analysis, model construction, and differential gene expression analysis, respectively. Genes associated with inflammatory factors were screened from published papers and intersected with differentially expressed genes to identify differentially expressed inflammatory factor-related genes. Subgroups were then typed according to differentially expressed inflammatory factor-related genes. Univariate, LASSO and multivariate Cox regression algorithms were subsequently applied to identify prognostic genes associated with inflammatory factors and to construct prognostic prediction models. The predictive performance of the model was evaluated by Kaplan-Meier survival analysis and receiver operating characteristic curve (ROC). Subsequently, we analyzed differences in immune composition between patients in the high and low risk groups by immune infiltration. The correlation between model genes and drug sensitivity (GSDC and CTRP) was also analyzed based on the GSCALite database. Finally, we examined the expression of prognostic genes in pathological tissues, verifying that these genes can be used to predict prognosis. Results: Using univariate, LASSO, and multivariate cox regression analyses, we developed a prognostic risk model for HNSCC based on 13 genes associated with inflammatory factors (ITGA5, OLR1, CCL5, CXCL8, IL1A, SLC7A2, SCN1B, RGS16, TNFRSF9, PDE4B, NPFFR2, OSM, ROS1). Overall survival (OS) of HNSCC patients in the low-risk group was significantly better than that in the high-risk group in both the training and validation sets. By clustering, we identified three molecular subtypes of HNSCC carcinoma (C1, C2, and C3), with C1 subtype having significantly better OS than C2 and C3 subtypes. ROC analysis suggests that our model has precise predictive power for patients with HNSCC. Enrichment analysis showed that the high-risk and low-risk groups showed strong immune function differences. CIBERSORT immune infiltration score showed that 25 related and differentially expressed inflammatory factor genes were all associated with immune function. As the risk score increases, specific immune function activation decreases in tumor tissue, which is associated with poor prognosis. We also screened for susceptibility between the high-risk and low-risk groups and showed that patients in the high-risk group were more sensitive to talazoparib-1259, camptothecin-1003, vincristine-1818, Azd5991-1720, Teniposide-1809, and Nutlin-3a (-) -1047.Finally, we examined the expression of OLR1, SCN1B, and PDE4B genes in HNSCC pathological tissues and validated that these genes could be used to predict the prognosis of HNSCC. Conclusion: In this experiment, we propose a prognostic model for HNSCC based on inflammation-related factors. It is a non-invasive genomic characterization prediction method that has shown satisfactory and effective performance in predicting patient survival outcomes and treatment response. More interdisciplinary areas combining medicine and electronics will be explored in the future.
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Affiliation(s)
- Li Zhu
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China,Department of Clinical Medicine, Guizhou Medical University, Guiyang, China
| | - Yue Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China,Department of Clinical Medicine, Guizhou Medical University, Guiyang, China
| | - Xingzhong Yuan
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China,Department of Clinical Medicine, Guizhou Medical University, Guiyang, China
| | - Yifei Ma
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Tian Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Fangwei Zhou
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Guodong Yu
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China,Department of Clinical Medicine, Guizhou Medical University, Guiyang, China,*Correspondence: Guodong Yu,
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22
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Li H, Wang Z, Sun C, Li S. Establishment of a cell senescence related prognostic model for predicting prognosis in glioblastoma. Front Pharmacol 2022; 13:1034794. [PMID: 36561336 PMCID: PMC9763285 DOI: 10.3389/fphar.2022.1034794] [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: 09/02/2022] [Accepted: 11/21/2022] [Indexed: 12/12/2022] Open
Abstract
Background: Glioblastoma (GBM) is highly malignant and has a worse prognosis with age, and next-generation sequencing (NGS) provides us with a huge amount of information about GBM. Materials and Methods: Through the enrichment scores of cell senescence-related pathways, we constructed a consensus matrix and mined molecular subtypes and explored the differences in pathological, immune/pathway and prognostic. Also we identified key genes related to cell senescence characteristics using least absolute shrinkage and selection operator (Lasso) regression and univariate COX regression analysis models. The use of risk factor formats to construct clinical prognostic models also explored the differences in immunotherapy/chemotherapy within the senescence-related signatures score (SRS.score) subgroups. Decision trees built with machine learning to identify the main factors affecting prognosis have further improved the prognosis model and survival prediction. Results: We obtained seven prognostic-related pathways related to cell senescence. We constructed four different molecular subtypes and found patients with subtype C1 had the worst prognosis. C4 had the highest proportion of patients with IDH mutations. 1005 differentially expressed genes (DEGs) were analyzed, and finally 194 Risk genes and 38 Protective genes were obtained. Eight key genes responsible for cell senescence were finally identified. The clinical prognosis model was established based on SRS.score, and the prognosis of patients with high SRS.score was worse. SRS.score and age were the vital risk factors for GBM patients through decision tree model mining. Conclusion: We constructed a clinical prognosis model that could provide high prediction accuracy and survival prediction ability for adjuvant treatment of patients with GBM.
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Affiliation(s)
- Hongbin Li
- Department of Neurosurgery, First Affiliated Hospital of Jiamusi University, Jiamusi, China
| | - Zhuozhou Wang
- Department of Cardiology, First Affiliated Hospital of Jiamusi University, Jiamusi, China
| | - Chengde Sun
- Department of Emergency Medicine, First Affiliated Hospital of Jiamusi University, Jiamusi, China
| | - Shuangjia Li
- Department of Emergency Medicine, First Affiliated Hospital of Jiamusi University, Jiamusi, China
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Ren J, Zhang H, Wang J, Xu Y, Zhao L, Yuan Q. Transcriptome analysis of adipocytokines and their-related LncRNAs in lung adenocarcinoma revealing the association with prognosis, immune infiltration, and metabolic characteristics. Adipocyte 2022; 11:250-265. [PMID: 35410586 PMCID: PMC9037474 DOI: 10.1080/21623945.2022.2064956] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Lung adenocarcinoma (LUAD) is amongst the major contributors to cancer-related deaths on a global scale. Adipocytokines and long non-coding RNAs (lncRNAs) are indispensable participants in cancer. We performed a pan-cancer analysis of the mRNA expression, single nucleotide variation, copy number variation, and prognostic value of adipocytokines. LUAD samples were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Simultaneously, train, internal and external cohorts were grouped. After a stepwise screening of optimized genes through least absolute shrinkage and selection operator regression analysis, random forest algorithm,, and Cox regression analysis, an adipocytokine-related prognostic signature (ARPS) with superior performance compared with four additional well-established signatures for survival prediction was constructed. After determination of risk levels, the discrepancy of immune microenvironment, immune checkpoint gene expression, immune subtypes, and immune response in low- and high-risk cohorts were explored through multiple bioinformatics methods. Abnormal pathways underlying high- and low-risk subgroups were identified through gene set enrichment analysis (GSEA). Immune-and metabolism-related pathways that were correlated with risk score were selected through single sample GSEA. Finally, a nomogram with satisfied predictive survival probability was plotted. In summary, this study offers meaningful information for clinical treatment and scientific investigation.
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Affiliation(s)
- Jie Ren
- Department of Oncology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Hui Zhang
- Clinical Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Department of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Jinna Wang
- Department of Oncology, Dalian Friendship Hospital Affiliated to Dalian Medical University, Dalian, Liaoning, China
| | - Yingsong Xu
- Department of Thoracic Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Lei Zhao
- Department of Thoracic Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Qihang Yuan
- Clinical Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Department of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
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24
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Zhuge J, Wang X, Li J, Wang T, Wang H, Yang M, Dong W, Gao Y. Construction of the model for predicting prognosis by key genes regulating EGFR-TKI resistance. Front Genet 2022; 13:968376. [PMID: 36506325 PMCID: PMC9732098 DOI: 10.3389/fgene.2022.968376] [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: 06/16/2022] [Accepted: 11/16/2022] [Indexed: 11/27/2022] Open
Abstract
Background: Previous studies have suggested that patients with lung adenocarcinoma (LUAD) will significantly benefit from epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKI). However, many LUAD patients will develop resistance to EGFR-TKI. Thus, our study aims to develop models to predict EGFR-TKI resistance and the LUAD prognosis. Methods: Two Gene Expression Omnibus (GEO) datasets (GSE31625 and GSE34228) were used as the discovery datasets to find the common differentially expressed genes (DEGs) in EGFR-TKI resistant LUAD profiles. The association of these common DEGs with LUAD prognosis was investigated in The Cancer Genome Atlas (TCGA) database. Moreover, we constructed the risk score for prognosis prediction of LUAD by LASSO analysis. The performance of the risk score for predicting LUAD prognosis was calculated using an independent dataset (GSE37745). A random forest model by risk score genes was trained in the training dataset, and the diagnostic ability for distinguishing sensitive and EGFR-TKI resistant samples was validated in the internal testing dataset and external testing datasets (GSE122005, GSE80344, and GSE123066). Results: From the discovery datasets, 267 common upregulated genes and 374 common downregulated genes were identified. Among these common DEGs, there were 59 genes negatively associated with prognosis, while 21 genes exhibited positive correlations with prognosis. Eight genes (ABCC2, ARL2BP, DKK1, FUT1, LRFN4, PYGL, SMNDC1, and SNAI2) were selected to construct the risk score signature. In both the discovery and independent validation datasets, LUAD patients with the higher risk score had a poorer prognosis. The nomogram based on risk score showed good performance in prognosis prediction with a C-index of 0.77. The expression levels of ABCC2, ARL2BP, DKK1, LRFN4, PYGL, SMNDC1, and SNAI2 were positively related to the resistance of EGFR-TKI. However, the expression level of FUT1 was favorably correlated with EGFR-TKI responsiveness. The RF model worked wonderfully for distinguishing sensitive and resistant EGFR-TKI samples in the internal and external testing datasets, with predictive area under the curves (AUC) of 0.973 and 0.817, respectively. Conclusion: Our investigation revealed eight genes associated with EGFR-TKI resistance and provided models for EGFR-TKI resistance and prognosis prediction in LUAD patients.
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Affiliation(s)
- Jinke Zhuge
- Department of Respiratory Medicine, Hainan Cancer Hospital, Haikou, China
| | - Xiuqing Wang
- Department of Respiratory Medicine, Hainan Cancer Hospital, Haikou, China
| | - Jingtai Li
- Department of Breast Surgery, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Tongyuan Wang
- Department of Respiratory Medicine, Hainan Cancer Hospital, Haikou, China
| | - Hongkang Wang
- Department of Respiratory Medicine, Hainan Cancer Hospital, Haikou, China
| | - Mingxing Yang
- Department of Respiratory Medicine, Hainan Cancer Hospital, Haikou, China
| | - Wen Dong
- Department of Respiratory Medicine, Hainan Cancer Hospital, Haikou, China,*Correspondence: Wen Dong, ; Yong Gao,
| | - Yong Gao
- Department of Clinical Laboratory, Fuyang Second People’s Hospital, Fuyang Infectious Disease Clinical College, Anhui Medical University, Fuyang, China,*Correspondence: Wen Dong, ; Yong Gao,
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Identification and Validation of a Novel Necroptosis-Related Long Noncoding RNA Prognostic Signature for Lung Adenocarcinoma. BIOMED RESEARCH INTERNATIONAL 2022; 2022:9710540. [PMID: 36330457 PMCID: PMC9626207 DOI: 10.1155/2022/9710540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 07/24/2022] [Accepted: 10/07/2022] [Indexed: 11/17/2022]
Abstract
Background Several cancers, including lung adenocarcinoma (LUAD), are caused by genes related to necroptosis. However, it is still unknown how necroptosis-related long noncoding RNAs (lncRNAs) may be involved in LUAD. In order to predict the prognosis of LUAD patients and personalize immunotherapy, this study set out to construct a necroptosis-related lncRNA prognostic signature (NLPS). Methods The Cancer Genome Atlas (TCGA) database was used to download the LUAD transcriptome data and the associated clinical data. lncRNAs associated with necroptosis were screened using coexpression analysis. An NLPS was built using univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses. The Gene Expression Omnibus (GEO) database's GSE30219 was used to validate the NLPS. The prognostic value of the risk score was assessed using Kaplan-Meier survival, receiver operating characteristic (ROC) Cox regression, multivariate Cox regression, and nomogram analyses. Then, we looked into the differences between the low- and high-risk groups in the tumor immune microenvironment, immunotherapy response, and half-maximal inhibitory concentration (IC50). Results The 14 lncRNAs in a novel NLPS were created. With further validation in the GSE30219 dataset, the risk score according to the NLPS was an independent prognostic indicator for LUAD patients. Patients with better overall survival (OS) in the low-risk group, who were characterized by increased immune cell infiltration, tumor mutational burden (TMB), and immunophenoscore (IPS), may have hot tumors and higher immunotherapy response rates. In addition, the risk score was also closely linked to sensitivity to various anticancer medications. Conclusions We constructed a novel NLPS that could predict OS and sensitivity to immunotherapy in LUAD patients.
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Yang J, Dong W, Zhang H, Zhao H, Zeng Z, Zhang F, Li Q, Duan X, Hu Y, Xiao W. Exosomal microRNA panel as a diagnostic biomarker in patients with hepatocellular carcinoma. Front Cell Dev Biol 2022; 10:927251. [PMID: 36211468 PMCID: PMC9537616 DOI: 10.3389/fcell.2022.927251] [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: 04/25/2022] [Accepted: 09/02/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Diagnostic tools for hepatocellular carcinoma (HCC) are critical for patient treatment and prognosis. Thus, this study explored the diagnostic value of the exosomal microRNA panel for HCC.Methods: Expression profiles of microRNAs in exosomes and plasma of HCC and control groups were assessed using microRNA microarray analysis. Reverse transcription-quantitative PCR was applied to evaluate the expression of candidate microRNAs in blood samples from 50 HCC patients, 50 hepatic cirrhosis patients, and 50 healthy subjects. The area calculated the diagnostic accuracy of the microRNAs and microRNA panel under the receiver operating characteristic curve (AUC).Results: MicroRNA microarray analysis revealed that there were more differentially expressed microRNAs in the exosome HCC group than plasma HCC group. Among the 43 differentially expressed microRNAs contained in both exosomes and plasma, we finally decided to testify the expression and diagnostic significance of microRNA-26a, microRNA-29c, and microRNA-199a. The results indicated that expression of the microRNA-26a, microRNA-29c, and microRNA-199a in both exosomes and plasma was significantly lower in HCC patients compared with hepatic cirrhosis and healthy group. Interestingly, exosomal microRNAs were substantially more accurate in diagnosing HCC than microRNAs and alpha-fetoprotein in plasma. Moreover, the exosomal microRNA panel containing microRNA-26a, microRNA-29c, and microRNA-199a showed high accuracy in discriminating HCC from healthy (AUC = 0.994; sensitivity 100%; specificity 96%) and hepatic cirrhosis group (AUC = 0.965; sensitivity 92%; specificity 90%).Conclusion: This study revealed that the exosomal microRNA panel has high accuracy in diagnosing HCC and has important clinical significance.
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Affiliation(s)
- Jingwen Yang
- Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Weiwei Dong
- Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China
| | - He Zhang
- Department of Oncology, 4th Medical Center of PLA General Hospital, Beijing, China
| | - Huixia Zhao
- Department of Oncology, 4th Medical Center of PLA General Hospital, Beijing, China
| | - Zhiyan Zeng
- Department of Oncology, 4th Medical Center of PLA General Hospital, Beijing, China
| | - Fengyun Zhang
- Department of Oncology, 4th Medical Center of PLA General Hospital, Beijing, China
| | - Qiuwen Li
- Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Xiaohong Duan
- ChosenMed Technology (Beijing) Co., Ltd., Beijing, China
- *Correspondence: Xiaohong Duan, ; Yanyan Hu, ; Wenhua Xiao,
| | - Yanyan Hu
- Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China
- *Correspondence: Xiaohong Duan, ; Yanyan Hu, ; Wenhua Xiao,
| | - Wenhua Xiao
- Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China
- *Correspondence: Xiaohong Duan, ; Yanyan Hu, ; Wenhua Xiao,
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Ferrer JLM, Garcia RL. Antioxidant Systems, lncRNAs, and Tunneling Nanotubes in Cell Death Rescue from Cigarette Smoke Exposure. Cells 2022; 11:2277. [PMID: 35892574 PMCID: PMC9330437 DOI: 10.3390/cells11152277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/17/2022] [Accepted: 07/19/2022] [Indexed: 12/10/2022] Open
Abstract
Cigarette smoke is a rich source of carcinogens and reactive oxygen species (ROS) that can damage macromolecules including DNA. Repair systems can restore DNA integrity. Depending on the duration or intensity of stress signals, cells may utilize various survival and adaptive mechanisms. ROS levels are kept in check through redundant detoxification processes controlled largely by antioxidant systems. This review covers and expands on the mechanisms available to cigarette smoke-exposed cancer cells for restoring the redox balance. These include multiple layers of transcriptional control, each of which is posited to be activated upon reaching a particular stress threshold, among them the NRF2 pathway, the AP-1 and NF-kB pathways, and, finally, TP53, which triggers apoptosis if extreme toxicity is reached. The review also discusses long noncoding RNAs, which have been implicated recently in regulating oxidative stress-with roles in ROS detoxification, the inflammatory response, oxidative stress-induced apoptosis, and mitochondrial oxidative phosphorylation. Lastly, the emerging roles of tunneling nanotubes in providing additional mechanisms for metabolic rescue and the regulation of redox imbalance are considered, further highlighting the expanded redox reset arsenal available to cells.
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Affiliation(s)
| | - Reynaldo L. Garcia
- Disease Molecular Biology and Epigenetics Laboratory, National Institute of Molecular Biology and Biotechnology, University of the Philippines Diliman, Quezon City 1101, Philippines;
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28
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Zhao N, Guo M, Zhang C, Wang C, Wang K. Pan-Cancer Methylated Dysregulation of Long Non-coding RNAs Reveals Epigenetic Biomarkers. Front Cell Dev Biol 2022; 10:882698. [PMID: 35721492 PMCID: PMC9200062 DOI: 10.3389/fcell.2022.882698] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 04/28/2022] [Indexed: 11/18/2022] Open
Abstract
Different cancer types not only have common characteristics but also have their own characteristics respectively. The mechanism of these specific and common characteristics is still unclear. Pan-cancer analysis can help understand the similarities and differences among cancer types by systematically describing different patterns in cancers and identifying cancer-specific and cancer-common molecular biomarkers. While long non-coding RNAs (lncRNAs) are key cancer modulators, there is still a lack of pan-cancer analysis for lncRNA methylation dysregulation. In this study, we integrated lncRNA methylation, lncRNA expression and mRNA expression data to illuminate specific and common lncRNA methylation patterns in 23 cancer types. Then, we screened aberrantly methylated lncRNAs that negatively regulated lncRNA expression and mapped them to the ceRNA relationship for further validation. 29 lncRNAs were identified as diagnostic biomarkers for their corresponding cancer types, with lncRNA AC027601 was identified as a new KIRC-associated biomarker, and lncRNA ACTA2-AS1 was regarded as a carcinogenic factor of KIRP. Two lncRNAs HOXA-AS2 and AC007228 were identified as pan-cancer biomarkers. In general, the cancer-specific and cancer-common lncRNA biomarkers identified in this study may aid in cancer diagnosis and treatment.
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Affiliation(s)
- Ning Zhao
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Maozu Guo
- School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China
| | - Chunlong Zhang
- College of Information and Computer Engineering, Northeast Forest University, Harbin, China
| | - Chunyu Wang
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Kuanquan Wang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.,School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
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29
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Cao Y, Zhang H, Tang J, Wang R. Long non-coding RNA FAM230B is a novel prognostic and diagnostic biomarker for lung adenocarcinoma. Bioengineered 2022; 13:7919-7925. [PMID: 35287554 PMCID: PMC9278966 DOI: 10.1080/21655979.2022.2034568] [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] [Indexed: 12/16/2022] Open
Abstract
Long non-coding RNA (lncRNA) FAM230B has been reported to participate in gastric cancer and papillary thyroid cancer, while its role in other cancers has not been reported. We then explored the role of FAM230B in lung adenocarcinoma (LA). This study enrolled a total of 60 LA patients, 60 patients with gastric reflux disease (GRD), 60 cases of chronic obstructive pulmonary disease (COPD), 60 cases of asthma and 60 cases of healthy controls. LA and paired non-tumor tissues were donated by all LA patients. Plasma samples were donated by all participants. Expression of FAM230B in these samples was determined by RT-qPCR. The 60 LA patients were followed up for 5 years to evaluate the prognostic value of plasma FAM230B for LA. Diagnostic value of FAM230B for LA was analyzed with ROC curve analysis. FAM230B was highly expressed in LA tissues compared to that in non-tumor samples. In addition, plasma FAM230B was specifically upregulated in LA patients, but not in GRD, COPD and asthma patients. High expression levels of FAM230B in plasma samples were closely correlated with poor survival. Plasma FAM230B effectively separated LA patients from GRD, COPD, asthma and control groups. Plasma FAM230B was closely correlated with tumor size, but not other clinical factors of LA patients. Therefore, FAM230B is highly upregulated in LA and may serve as a potential diagnostic and prognostic biomarker for LA.
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Affiliation(s)
- Yu Cao
- Department of Thoracic Surgery, The Third Affiliated Hospital of Chongqing Medical University, Chongqing City, PR. China
| | - Hong Zhang
- Department of Thoracic Surgery, The Third Affiliated Hospital of Chongqing Medical University, Chongqing City, PR. China
| | - Jianming Tang
- Department of Thoracic Surgery, The Third Affiliated Hospital of Chongqing Medical University, Chongqing City, PR. China
| | - Rui Wang
- Department of Thoracic Surgery, The Third Affiliated Hospital of Chongqing Medical University, Chongqing City, PR. China
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30
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CYP1B1-AS1 Is a Novel Biomarker in Glioblastoma by Comprehensive Analysis. DISEASE MARKERS 2022; 2021:8565943. [PMID: 35003394 PMCID: PMC8733712 DOI: 10.1155/2021/8565943] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/04/2021] [Accepted: 12/06/2021] [Indexed: 02/07/2023]
Abstract
Objective Growing evidence shows that enhancer RNAs (eRNAs) are pivotal for tumor progression. In this research, our team aimed to identify the survival-related eRNAs and further explore their potential function in glioblastoma (GBM). Methods RNA-sequencing data in 31 tumor types were acquired from TCGA datasets. The survival-related eRNAs were identified by the use of Kaplan-Meier survival analyses and Spearman's correlation analyses. KEGG pathway enrichment analysis was completed to investigate the underlying signal paths of the critical eRNA. Pancancer assays were applied to explore the association between CYP1B1-AS1 and CYP1B1. Results We identified 74 survival-related eRNAs and focused on CYP1B1-AS1 which displayed the greatest cor value. CYP1B1 was identified as a regulatory target of CYP1B1-AS1. KEGG analyses suggested that CYP1B1-AS1 might play an essential role through CK-CKR mutual effect, complement and coagulation cascades, TNF signal path, and JAK-STAT signal path. The pancancer verification outcomes revealed that CYP1B1-AS1 was related to survival in 4 cancers, i.e., LIHC, KIRP, KICH, and KIRC. Association was discovered between CYP1B1-AS1 and the targeted gene, CYP1B1, in 29 cancer types. Conclusion The outcomes herein provided the first evidence that overexpression of CYP1B1-AS1 might be a potential molecular biomarker for predicting the prognosis of patients with GBM.
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Yuan Q, Zhang W, Shang W. Identification and validation of a prognostic risk-scoring model based on sphingolipid metabolism-associated cluster in colon adenocarcinoma. Front Endocrinol (Lausanne) 2022; 13:1045167. [PMID: 36518255 PMCID: PMC9742378 DOI: 10.3389/fendo.2022.1045167] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 10/24/2022] [Indexed: 11/29/2022] Open
Abstract
Colon adenocarcinoma (COAD) is the primary factor responsible for cancer-related mortalities in western countries, and its development and progression are affected by altered sphingolipid metabolism. The current study aimed at investigating the effects of sphingolipid metabolism-related (SLP) genes on multiple human cancers, especially on COAD. We obtained 1287 SLP genes from the GeneCard and MsigDb databases along with the public transcriptome data and the related clinical information. The univariate Cox regression analysis suggested that 26 SLP genes were substantially related to the prognosis of COAD, and a majority of SLP genes served as the risk genes for the tumor, insinuating a potential pathogenic effect of SLP in COAD development. Pan-cancer characterization of SLP genes summarized their expression traits, mutation traits, and methylation levels. Subsequently, we focused on the thorough research of COAD. With the help of unsupervised clustering, 1008 COAD patients were successfully divided into two distinct subtypes (C1 and C2). C1 subtype is characterized by a poor prognosis, activation of SLP pathways, high expression of SLP genes, disordered carcinogenic pathways, and immune microenvironment. Based on the clusters of SLP, we developed and validated a novel prognostic model, consisting of ANO1, C2CD4A, EEF1A2, GRP, HEYL, IGF1, LAMA2, LSAMP, RBP1, and TCEAL2, to quantitatively evaluate the clinical outcomes of COAD. The Kaplain-Meier survival curves and ROC curves highlighted the accuracy of our SLP model in both internal and external cohorts. Compared to normal colon tissues, expression of C2CD4A was detected to be significantly higher in COAD; whereas, expression levels of EEF1A2, IGF1, and TCEAL2 were detected to be significantly lower in COAD. Overall, our research emphasized the pathogenic role of SLP in COAD and found that targeting SLP might help improve the clinical outcomes of COAD. The risk model based on SLP metabolism provided a new horizon for prognosis assessment and customized patient intervention.
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Affiliation(s)
- Qihang Yuan
- Department of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- Laboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- *Correspondence: Qihang Yuan,
| | - Weizhi Zhang
- Dalian No.24 High School, Dalian, Liaoning, China
| | - Weijia Shang
- Dalian No.24 High School, Dalian, Liaoning, China
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Jiang H, Xu A, Li M, Han R, Wang E, Wu D, Fei G, Zhou S, Wang R. Seven autophagy-related lncRNAs are associated with the tumor immune microenvironment in predicting survival risk of nonsmall cell lung cancer. Brief Funct Genomics 2021; 21:177-187. [PMID: 34849558 DOI: 10.1093/bfgp/elab043] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 10/26/2021] [Accepted: 11/01/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Nonsmall cell lung cancer (NSCLC) ranks first among global cancer-related deaths. Despite the emergence of various immunological and targeted therapies, immune tolerance remains a barrier to treatment. METHODS It has been found that this obstacle can be overcome by targeting autophagy-related genes (ATGs). ATGs were screened by coexpression analysis and the genes related to the prognosis of lung cancer were screened using Kaplan-Meier (K-M) survival analysis, univariate Cox regression and multivariate Cox regression. The prognostic risk model of ATGs was constructed and verified using K-M survival analysis and receiver operating characteristic (ROC) curve analysis. RESULTS The prognostic risk model of ATGs was constructed. Gene set enrichment analysis (GSEA) showed that the function and pathway of ATG enrichment were closely related to immune cell function. CIBERSORT, LM22 matrix and Pearson correlation analysis showed that risk signals were significantly correlated with immune cell infiltration and immune checkpoint genes. CONCLUSIONS We identified and independently verified the ATG (AL691432.2, MMP2-AS1, AC124067.2, CRNDE, ABALON, AL161431.1, NKILA) in NSCLC patients and found that immune regulation in the tumor microenvironment is closely related to this gene.
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Zhao J, Lin X, Zhuang J, He F. Relationships of N6-Methyladenosine-Related Long Non-Coding RNAs With Tumor Immune Microenvironment and Clinical Prognosis in Lung Adenocarcinoma. Front Genet 2021; 12:714697. [PMID: 34777460 PMCID: PMC8585518 DOI: 10.3389/fgene.2021.714697] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/24/2021] [Indexed: 12/25/2022] Open
Abstract
Background: Lung adenocarcinoma (LUAD) is the major subtype of lung cancer and is associated with very high mortality. Emerging studies have shown that N6-methyladenosine (m6A)-related long non-coding (lnc) RNAs play crucial roles in tumor prognosis and the tumor immune microenvironment (TME). We aimed to explore the expression patterns of different m6A-related lncRNAs concerning patient prognosis and construct an m6A-related lncRNA prognostic model for LUAD. Methods: The prognostic value of m6A-related lncRNAs was investigated in LUAD samples from The Cancer Genome Atlas (TCGA). Potential prognostic m6A-related lncRNAs were selected by Pearson's correlation and univariate Cox regression analysis. Patients were divided into clusters using principal component analysis and the m6A-related lncRNA prognostic signature was calculated using least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Results: Based on 91 prognostic m6A-related lncRNAs, we identified two m6A-related-lncRNA pattern clusters with different overall survival (OS) and different TMEs. We subsequently verified our findings multidimensionally by constructing a 13 m6A-related lncRNA prognostic signature (m6A-LPS) to calculate the risk score, which was robust in different subgroups. The receiver operating characteristic (ROC) curves and concordance index demonstrated that m6A-LPS harbored a promising ability to predict OS in TCGA data set and independent GSE11969 cohort. The risk score was also related to OS, TME, and clinical stage, and the risk score calculated by our model was also identified as independent prognostic predictive factors for LUAD patients after adjustment for age, smoking, gender, and stage. Enrichment analysis indicated that malignancy and drug resistance-associated pathways were more common in cluster2 (LUAD-unfavorable m6A-LPS). Furthermore, the results indicated that the signaling pathway enriched by the target gene of 13 m6A-related lncRNAs may be associated with metastasis and progression of cancer according to current studies. Conclusion: The current results indicated that different m6A-related-lncRNA patterns could affect OS and TME in patients with LUAD, and the prognostic signature based on 13 m6A-related lncRNAs may help to predict the prognosis in LUAD patients.
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Affiliation(s)
- Jianhui Zhao
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xi Lin
- Department of Toxicology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Jinman Zhuang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Fei He
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.,Fujian Provincial Key Laboratory of Tumor Microbiology, Fujian Digital Tumor Data Research Center, Fujian Medical University, Fuzhou, China
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