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Nie Z, Zeng K, Yan Q, Liu Y, Bian Y, Zhu J, Guo Z, He F, Shi H, Guo Y. The Relationship Between Gene Mutations and the Clinicopathological Features and Prognosis of Gastric Cancer. Int J Surg Pathol 2024; 32:486-495. [PMID: 37545327 DOI: 10.1177/10668969231188421] [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] [Indexed: 08/08/2023]
Abstract
Current treatments for gastric cancer (GC) are suboptimal. Potential therapeutic targets for GC were screened using next-generation sequencing. We examined many mutation genes linked to GC, including TP53 (60%), PIK3CA (19%), LRP1B (13%), and ERBB2 (12%), ARID1A (9%), KMT2C (9%), and KRAS (7%). The KMT2C, KRAS, CDK6, and ARID1A wild-type genes were dominant in diffuse-type GC (P < .05), but mutations did not influence prognosis. Patients with APC (6%) and CDH1 (8%) wild-type GC presented with vascular invasion (P < .05). Patients with ATR (2%) wild-type GC were prone to lymph node metastasis (P < .05). Patients with ARID1A (9%) wild-type GC had reduced programmed death ligand 1 expression (<1, P < .05). We found that patients who received chemotherapy had a better prognosis than those who did not (although there was no statistical difference), with platinum-based group having better prognosis and uracil combined with paclitaxel group having worse prognosis.
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Affiliation(s)
- Zunzhen Nie
- Department of Pathology, Xi'an Daxing Hospital, Xi'an, China
| | - Kaixuan Zeng
- Precision Medical Research Institute, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Qingguo Yan
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, Xi'an, China
| | - Yuangang Liu
- Department of Pathology, Xi'an Daxing Hospital, Xi'an, China
| | - Yawei Bian
- Department of Pathology, Xi'an Daxing Hospital, Xi'an, China
| | - Jin Zhu
- Department of Pathology, Xi'an Daxing Hospital, Xi'an, China
| | - Zhenzhen Guo
- Department III of General Surgery, Xi'an Daxing Hospital, Xi'an, China
| | - Furong He
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, Xi'an, China
| | - Hai Shi
- Department of Gastrointestinal Surgery, Xi'an Daxing Hospital, Xi'an, China
| | - Ying Guo
- Department of Pathology, Xi'an Daxing Hospital, Xi'an, China
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Medicine, Northwest University, Xi'an, China
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2
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Bahrami B, Wolfien M, Nikpour P. Integrated analysis of transcriptome and epigenome reveals ENSR00000272060 as a potential biomarker in gastric cancer. Epigenomics 2024; 16:159-173. [PMID: 38282575 DOI: 10.2217/epi-2023-0213] [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] [Indexed: 01/30/2024] Open
Abstract
Background: Enhancer RNAs (eRNAs) are involved in gene expression regulation. Although functional roles of eRNAs in the pathophysiology of neoplasms have been reported, their involvement in gastric cancer (GC) is less known. Materials & methods: A network-based integrative approach was utilized for analyzing transcriptome and epigenome alterations in GC, and an eRNA was selected for experimental validation. Survival analysis and clinicopathological associations were also performed. Results: A hub eRNA, ENSR00000272060, showed significantly increased expression in tumor versus nontumor tissues, as well as an association with clinicopathological features. A seven-gene prognostic model was also constructed. Conclusion: The constructed network provides a comprehensive understanding of the underlying processes implicated in the progression of GC, along with a starting point from which to derive potential diagnostic/prognostic biomarkers.
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Affiliation(s)
- Basireh Bahrami
- Department of Genetics & Molecular Biology, Faculty of Medicine, Isfahan University of Medical Sciences, 8174673461, Isfahan, Iran
| | - Markus Wolfien
- Institute for Medical Informatics & Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, 01307, Germany
| | - Parvaneh Nikpour
- Department of Genetics & Molecular Biology, Faculty of Medicine, Isfahan University of Medical Sciences, 8174673461, Isfahan, Iran
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Jia L, Chen J, Zhao J, Yang J. Identification of enhancer RNA AC005515.1 as a novel biomarker for prognosis in esophageal cancer and predictors of immunotherapy response. Transl Cancer Res 2023; 12:3266-3283. [PMID: 38192978 PMCID: PMC10774053 DOI: 10.21037/tcr-23-777] [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: 05/08/2023] [Accepted: 11/08/2023] [Indexed: 01/10/2024]
Abstract
Background The enhancer RNA (eRNA) signature shows excellent promise in the prognostic role of many malignancies, but its value has not been fully explored in esophageal cancer (ESCA). Methods We comprehensively analyzed 33 oncogene expression matrices and clinical data from The Cancer Genome Atlas (TCGA) and identified ESCA prognostic-related key eRNAs by Kaplan-Meier and co-expression analysis. We also investigated the prognostic role of the key eRNA using a series of bioinformatics approaches, including immune infiltration, immune function, immune subtypes, and the tumor microenvironment. Finally, the tumor immune dysfunction and exclusion (TIDE) score was used to predict the immune response to immune checkpoint blockade (ICB) therapy. Results We identified eRNA AC005515.1, AC012368.1, AP003469.2, Clorf61, and WDFY3-AS2 were associated with the prognosis of ESCA. AC005515.1 is a critical prognostic-related eRNA in ESCA and was significantly co-expressed with immune checkpoint genes (CTLA4, CD274, etc.). In the pan-cancer analysis, AC005515.1 was also associated with the prognosis of seven cancers, including kidney renal papillary cell carcinoma and low-grade brain glioma. It was also found to be co-expressed with immune checkpoint genes in these tumors. Moreover, high expression of AC005515.1 was associated with CD8+ T cells and M1 macrophages infiltration, and the AC005515.1 high-expression group had a higher TIDE score in ESCA. Conclusions Overall, eRNA AC005515.1 is associated with the local immune environment of ESCA and may become a new biomarker of ESCA prognosis and immunotherapy response.
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Affiliation(s)
- Lihua Jia
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jianghua Chen
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jia Zhao
- Department of Medical Laboratory, Nanchong Central Hospital, Nanchong, China
| | - Junbao Yang
- Institute of Basic Medicine and Forensic Medicine, North Sichuan Medical College and Center for Genetics and Prenatal Diagnosis, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
- Department of Clinical Genetics, School of Medical Laboratory, North Sichuan Medical College, Nanchong, China
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Qiu L, Liu Y, Yang Z, Zhao X, Gong Y, Jiao S. Clinical Significance and Immune Infiltration Analyses of a Novel Nerve-Related lncRNA Signature in Gastric Cancer. Mol Biotechnol 2023:10.1007/s12033-023-00997-4. [PMID: 38145446 DOI: 10.1007/s12033-023-00997-4] [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: 08/30/2023] [Accepted: 11/13/2023] [Indexed: 12/26/2023]
Abstract
Gastric cancer (GC) is a progressive disease with high morbidity and mortality. Accumulating evidence indicated that nervous system-cancer crosstalk can affect the occurrence and progression of GC. However, the role of nerve-related lncRNAs (NRLs) in GC remains largely unexplored. In this study, a total of 441 nerve-related genes were collected from the KEGG database, and two approaches, unsupervised clustering and WGCNA, were employed to identify NRLs. Lasso regression analysis was then used to construct the nerve-related lncRNA signature (NRLS). Based on the expression profiles of 5 lncRNAs, we developed a stable NRLS to predict survival in GC patients, and survival analyses showed significantly shorter overall survival (OS) in patients with high NRLS. In addition, the NRLS was found to be positively correlated with immune characteristics, including tumor-infiltrating immune cells, immune modulators, cytokines and chemokines. We then analyzed the role of NRLS in predicting chemotherapy and immunotherapy responses, and constructed the OS nomogram combining NRLS and other clinical features. In conclusion, we constructed a robust NRLS model to stratify GC patients and predict the outcomes of chemotherapy and immunotherapy. This study can provide a new perspective for future individualized treatment of GC.
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Affiliation(s)
- Lupeng Qiu
- Medical School of Chinese PLA, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China
- Department of Medical Oncology, The First Medical Centre, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China
- Research and Development Department, Beijing DCTY Biotech Co., Ltd., No.86 Shuangying West Road, Changping District, Beijing, 102299, China
| | - Yaru Liu
- Research and Development Department, Beijing DCTY Biotech Co., Ltd., No.86 Shuangying West Road, Changping District, Beijing, 102299, China
| | - Zizhong Yang
- Department of Medical Oncology, The First Medical Centre, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Xiao Zhao
- Department of Medical Oncology, The First Medical Centre, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Yixin Gong
- Research and Development Department, Beijing DCTY Biotech Co., Ltd., No.86 Shuangying West Road, Changping District, Beijing, 102299, China.
| | - Shunchang Jiao
- Department of Medical Oncology, The First Medical Centre, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing, 100853, China.
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Huang J, Liu M, Chen H, Zhang J, Xie X, Jiang L, Zhang S, Jiang C, Zhang J, Zhang Q, Yang G, Chi H, Tian G. Elucidating the Influence of MPT-driven necrosis-linked LncRNAs on immunotherapy outcomes, sensitivity to chemotherapy, and mechanisms of cell death in clear cell renal carcinoma. Front Oncol 2023; 13:1276715. [PMID: 38162499 PMCID: PMC10757362 DOI: 10.3389/fonc.2023.1276715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 11/26/2023] [Indexed: 01/03/2024] Open
Abstract
Background Clear cell renal carcinoma (ccRCC) stands as the prevailing subtype among kidney cancers, making it one of the most prevalent malignancies characterized by significant mortality rates. Notably,mitochondrial permeability transition drives necrosis (MPT-Driven Necrosis) emerges as a form of cell death triggered by alterations in the intracellular microenvironment. MPT-Driven Necrosis, recognized as a distinctive type of programmed cell death. Despite the association of MPT-Driven Necrosis programmed-cell-death-related lncRNAs (MPTDNLs) with ccRCC, their precise functions within the tumor microenvironment and prognostic implications remain poorly understood. Therefore, this study aimed to develop a novel prognostic model that enhances prognostic predictions for ccRCC. Methods Employing both univariate Cox proportional hazards and Lasso regression methodologies, this investigation distinguished genes with differential expression that are intimately linked to prognosis.Furthermore, a comprehensive prognostic risk assessment model was established using multiple Cox proportional hazards regression. Additionally, a thorough evaluation was conducted to explore the associations between the characteristics of MPTDNLs and clinicopathological features, tumor microenvironment, and chemotherapy sensitivity, thereby providing insights into their interconnectedness.The model constructed based on the signatures of MPTDNLs was verified to exhibit excellent prediction performance by Cell Culture and Transient Transfection, Transwell and other experiments. Results By analyzing relevant studies, we identified risk scores derived from MPTDNLs as an independent prognostic determinant for ccRCC, and subsequently we developed a Nomogram prediction model that combines clinical features and associated risk assessment. Finally, the application of experimental techniques such as qRT-PCR helped to compare the expression of MPTDNLs in healthy tissues and tumor samples, as well as their role in the proliferation and migration of renal clear cell carcinoma cells. It was found that there was a significant correlation between CDK6-AS1 and ccRCC results, and CDK6-AS1 plays a key role in the proliferation and migration of ccRCC cells. Impressive predictive results were generated using marker constructs based on these MPTDNLs. Conclusions In this research, we formulated a new prognostic framework for ccRCC, integrating mitochondrial permeability transition-induced necrosis. This model holds significant potential for enhancing prognostic predictions in ccRCC patients and establishing a foundation for optimizing therapeutic strategies.
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Affiliation(s)
- Jinbang Huang
- School of Clinical Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Mengtao Liu
- Pediatric Surgery, Guiyang Matemal and Child Health Care Hospital, Guiyang Children’s Hospital, Guiyang, China
| | - Haiqing Chen
- School of Clinical Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jinhao Zhang
- School of Stomatology, Southwest Medical University, Luzhou, China
| | - Xixi Xie
- School of Stomatology, Southwest Medical University, Luzhou, China
| | - Lai Jiang
- School of Clinical Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Shengke Zhang
- School of Clinical Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Chenglu Jiang
- School of Clinical Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jieying Zhang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Qinhong Zhang
- Heilongjiang University of Chinese Medicine, Harbin, China
| | - Guanhu Yang
- Department of Specialty Medicine, Ohio University, Athens, GA, United States
| | - Hao Chi
- School of Clinical Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Gang Tian
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Sichuan Province Engineering Technology Research Center of Molecular Diagnosis of Clinical Diseases, Luzhou, China
- Molecular Diagnosis of Clinical Diseases Key Laboratory of Luzhou, Luzhou, China
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6
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Li D, Wu X, Song W, Cheng C, Hao L, Zhang W. Clinical significance and immune landscape of cuproptosis-related lncRNAs in kidney renal clear cell carcinoma: a bioinformatical analysis. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:1235. [PMID: 36544675 PMCID: PMC9761138 DOI: 10.21037/atm-22-5204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 11/15/2022] [Indexed: 11/27/2022]
Abstract
Background Kidney renal clear cell carcinoma (KIRC) is considered an immunogenic tumor. Cuproptosis is a newly identified copper-induced regulated cell death that relies on mitochondria respiration. Long noncoding RNAs (lncRNAs) have emerged as significant players in tumorigenesis and metastasis. However, there is a huge knowledge gap on the prognostic role of cuproptosis-related lncRNAs in KIRC. And, the clinical value of them is still unknown. Here, we aimed to develop a cuproptosis-related lncRNA prognostic signature in KIRC. Methods The messenger RNA (mRNA)/lncRNA expression profiles and the clinical information including age, gender, tumor stage, grade, and overall survival (OS) were acquired from The Cancer Genome Atlas (TCGA) database. The included KIRC samples were further randomly assigned into training (n=258) or testing (n=257) data sets. We performed Pearson correlation analysis to identify the cuproptosis-related lncRNAs and then constructed the prognostic signature using Cox regression analysis and LASSO algorithm. Subsequently, Kaplan-Meier survival analysis, a nomogram, and receiver operating characteristic (ROC) curve were performed to assess the predictive performance of the signature. Moreover, the immune characteristics and drug sensitivity related to the signature were also explored. Results The signature comprised 7 cuproptosis-related lncRNAs. The patients with a low-risk score had superior OS compared with those with a high-risk score. The survival rates of the high- and low-risk groups were 44.96% and 83.72% (P<0.001). The area under the curve (AUC) value for 1-, 3-, 5-year survival rate reached 0.814, 0.762 and 0.825, respectively. In addition, a nomogram was also generated; the AUC was 0.785 for risk score, higher than that for age (0.593), gender (0.489), grade (0.679), and stage (0.721). The high-risk group had more enriched immune- and tumor-related genes. Patients with low-risk scores were more sensitive to immunotherapy and the small molecular drugs GSK1904529A, tipifarnib, BX-912, FR-180204, and GSK1070916. Meanwhile, the high-risk group tended to be more sensitive to pyrimethamine, MS-275, and CGP-60474. Conclusions Collectively, we constructed a cuproptosis-related lncRNA prognostic signature with a higher predictive accuracy compared to multiple clinicopathological parameters, which may provide vital guidance for therapeutic strategies in KIRC. Combination of more prognostic biomarkers may further improve the accuracy.
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Affiliation(s)
- Ding Li
- Department of Pharmacy, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China;,Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital, Zhengzhou, China;,Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital, Zhengzhou, China
| | - Xuan Wu
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Wenping Song
- Department of Pharmacy, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China;,Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital, Zhengzhou, China;,Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital, Zhengzhou, China
| | - Cheng Cheng
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Lidan Hao
- Department of Internal Medicine, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Wenzhou Zhang
- Department of Pharmacy, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China;,Henan Engineering Research Center for Tumor Precision Medicine and Comprehensive Evaluation, Henan Cancer Hospital, Zhengzhou, China;,Henan Provincial Key Laboratory of Anticancer Drug Research, Henan Cancer Hospital, Zhengzhou, China
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7
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Panahi-Moghadam S, Hassani S, Farivar S, Vakhshiteh F. Emerging Role of Enhancer RNAs as Potential Diagnostic and Prognostic Biomarkers in Cancer. Noncoding RNA 2022; 8:ncrna8050066. [PMID: 36287118 PMCID: PMC9607539 DOI: 10.3390/ncrna8050066] [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: 08/24/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 11/05/2022] Open
Abstract
Enhancers are distal cis-acting elements that are commonly recognized to regulate gene expression via cooperation with promoters. Along with regulating gene expression, enhancers can be transcribed and generate a class of non-coding RNAs called enhancer RNAs (eRNAs). The current discovery of abundant tissue-specific transcription of enhancers in various diseases such as cancers raises questions about the potential role of eRNAs in disease diagnosis and therapy. This review aimed to demonstrate the current understanding of eRNAs in cancer research with a focus on the potential roles of eRNAs as prognostic and diagnostic biomarkers in cancers.
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Affiliation(s)
- Somayeh Panahi-Moghadam
- Department of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran 1411713116, Iran
- Department of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran 1983969411, Iran
| | - Shokoufeh Hassani
- Department of Toxicology and Pharmacology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran 1417614411, Iran
- Toxicology and Diseases Group, Pharmaceutical Sciences Research Center (PSRC), The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences (TUMS), Tehran 1417614411, Iran
| | - Shirin Farivar
- Department of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran 1983969411, Iran
| | - Faezeh Vakhshiteh
- Oncopathology Research Center, Iran University of Medical Sciences (IUMS), Tehran 1449614535, Iran
- Correspondence:
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Gan Y, Yang Y, Wu Y, Li T, Liu L, Liang F, Qi J, Liang P, Pan D. Comprehensive transcriptomic analysis of immune-related eRNAs associated with prognosis and immune microenvironment in melanoma. Front Surg 2022; 9:917061. [PMID: 36338651 PMCID: PMC9632973 DOI: 10.3389/fsurg.2022.917061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 08/17/2022] [Indexed: 11/30/2022] Open
Abstract
Background Recent evidence suggests that enhancer RNAs (eRNAs) play key roles in cancers. Identification of immune-related eRNAs (ireRNAs) in melanoma can provide novel insights into the mechanisms underlying its genesis and progression, along with potential therapeutic targets. Aim To establish an ireRNA-related prognostic signature for melanoma and identify potential drug candidates. Methods The ireRNAs associated with the overall survival (OS-ireRNAs) of melanoma patients were screened using data from The Cancer Genome Atlas (TCGA) via WGCNA and univariate Cox analysis. A prognostic signature based on these OS-ireRNAs was then constructed by performing the least absolute shrinkage and selection operator (LASSO) Cox regression analysis. The immune landscape associated with the prognostic model was evaluated by the ESTIMATE algorithm and CIBERSORT method. Finally, the potential drug candidates for melanoma were screened through the cMap database. Results A total of 24 OS-ireRNAs were obtained, of which 7 ireRNAs were used to construct a prognostic signature. The ireRNAs-related signature performed well in predicting the overall survival (OS) of melanoma patients. The risk score of the established signature was further verified as an independent risk factor, and was associated with the unique tumor microenvironment in melanoma. We also identified several potential anti-cancer drugs for melanoma, of which corticosterone ranked first. Conclusions The ireRNA-related signature is an effective prognostic predictor and provides reliable information to better understand the mechanism of ireRNAs in the progression of melanoma.
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Affiliation(s)
- Yuling Gan
- The 1st Department of Bone and Soft Tissue Oncology, Gansu Provincial Cancer Hospital, Lanzhou, China
| | - Yuan Yang
- Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Yajiao Wu
- Department of Ophthalmology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Tingdong Li
- The 1st Department of Bone and Soft Tissue Oncology, Gansu Provincial Cancer Hospital, Lanzhou, China
| | - Libing Liu
- The 1st Department of Bone and Soft Tissue Oncology, Gansu Provincial Cancer Hospital, Lanzhou, China
| | - Fudong Liang
- The 1st Department of Bone and Soft Tissue Oncology, Gansu Provincial Cancer Hospital, Lanzhou, China
| | - Jianghua Qi
- The 1st Department of Bone and Soft Tissue Oncology, Gansu Provincial Cancer Hospital, Lanzhou, China
| | - Peng Liang
- The 1st Department of Bone and Soft Tissue Oncology, Gansu Provincial Cancer Hospital, Lanzhou, China
- Correspondence: Dongsheng Pan Peng Liang
| | - Dongsheng Pan
- The 1st Department of Bone and Soft Tissue Oncology, Gansu Provincial Cancer Hospital, Lanzhou, China
- Correspondence: Dongsheng Pan Peng Liang
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