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Zhou T, Li Z, Jiang Y, Su K, Xu C, Yi H. Emerging roles of circular RNAs in regulating the hallmarks of thyroid cancer. Cancer Gene Ther 2024; 31:507-516. [PMID: 38316961 PMCID: PMC11016468 DOI: 10.1038/s41417-024-00736-0] [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: 10/10/2023] [Revised: 01/10/2024] [Accepted: 01/12/2024] [Indexed: 02/07/2024]
Abstract
Thyroid cancer is a prevalent endocrine malignancy with increasing incidence in recent years. Although most thyroid cancers grow slowly, they can become refractory, leading to a high mortality rate once they exhibit recurrence, metastasis, resistance to radioiodine therapy, or a lack of differentiation. However, the mechanisms underlying these malignant characteristics remain unclear. Circular RNAs, a type of closed-loop non-coding RNAs, play multiple roles in cancer. Several studies have demonstrated that circular RNAs significantly influence the development of thyroid cancers. In this review, we summarize the circular RNAs identified in thyroid cancers over the past decade according to the hallmarks of cancer. We found that eight of the 14 hallmarks of thyroid cancers are regulated by circular RNAs, whereas the other six have not been reported to be correlated with circular RNAs. This review is expected to help us better understand the roles of circular RNAs in thyroid cancers and accelerate research on the mechanisms and cure strategies for thyroid cancers.
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Affiliation(s)
- Tianjiao Zhou
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, 200233, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, 200233, China
| | - Zheng Li
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yumeng Jiang
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, 200233, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, 200233, China
| | - Kaiming Su
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, 200233, China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, 200233, China
| | - Chuan Xu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Hongliang Yi
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, 200233, China.
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, 200233, China.
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Wang D, Yang F, Han G, Zhang J, Wang H, Xiao Z, Chen W, Li P. Identification of a 5-Gene Cuproptosis Signature Predicting the Prognosis for Colon Adenocarcinoma Based on WGCNA. Technol Cancer Res Treat 2024; 23:15330338241250285. [PMID: 38802999 PMCID: PMC11135095 DOI: 10.1177/15330338241250285] [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] [Revised: 03/11/2024] [Accepted: 04/08/2024] [Indexed: 05/29/2024] Open
Abstract
Background: Colorectal cancer is a highly aggressive malignant tumor that primarily affects the digestive system. It is frequently diagnosed at an advanced stage. Cuproptosis is a copper-dependent form cell death mechanism, distinct from all other known pathways underlying cell death, tumor progression, prognosis, and immune response. Although the role of cuproptosis in colorectal cancer has been investigated over time, there is still an urgent need to explore new methods and insights to understand its potential function. Methods: The Gene Expression Omnibus and The Cancer Genome Atlas gene expression data were systematically explored to investigate the role of cuproptosis in colon adenocarcinoma. The weighted gene coexpression network analysis was used to construct a gene coexpression network and identify the critical module and cuproptosis-related genes correlated with colon adenocarcinoma prognosis. A cuproptosis-related genes prognostic signature for colon adenocarcinoma was identified and validated. To validate the identified gene signature, quantitative reverse transcription-polymerase chain reaction was performed. Cell proliferation assays were analyzed by CCK8 and cell cycle detection. In addition, reactive oxygen species assay was also analyzed. Results: Five hub cuproptosis-related genes (Dihydrolipoamide S-acetyltransferase, Cyclin-dependent kinase inhibitor 2A, ATOX1, VEGFA, and ULK1) were screened and a prognostic risk model for predicting overall survival was established based on these genes. The model was successfully tested in the validation cohort and the GEPIA database. Colon adenocarcinoma patients were categorized into high-risk and low-risk groups based on risk scores. The study revealed that patients with higher risk scores were more likely to have a poor prognosis. Moreover, Dihydrolipoamide S-acetyltransferase was a tumor suppressor gene that can induce cell death and affected the redox reactions in the colon cancer cell line. Conclusions: These findings suggest that the newly identified 5-gene signature may serve as a more reliable prognostic factor than clinical factors such as age and stage of disease. These findings offer a theoretical foundation for further investigation into potential cuproptosis-related biomarkers for predicting colon adenocarcinoma prognosis in the future.
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Affiliation(s)
- Dongxue Wang
- Department of Radiology and Nuclear Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Funing Yang
- Department of Radiology and Nuclear Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Guiping Han
- Department of Pathology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Jifeng Zhang
- Department of Radiology and Nuclear Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Hongjia Wang
- Department of Radiology and Nuclear Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Zunyu Xiao
- Department of Nuclear Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Weiyu Chen
- Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, Zhejiang, China
- International Institutes of Medicine, The Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, Zhejiang, China
| | - Ping Li
- Department of Radiology and Nuclear Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
- Heilongjiang Key Laboratory for Accurate Diagnosis and Treatment of Coronary Heart Disease, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
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Shi Y, Sheng P, Guo M, Chen K, Zhou H, Wu M, Li W, Li B. Cuproptosis-related lncRNAs predict prognosis and immune response of thyroid carcinoma. Front Genet 2023; 14:1100909. [PMID: 37470034 PMCID: PMC10352785 DOI: 10.3389/fgene.2023.1100909] [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: 11/17/2022] [Accepted: 06/26/2023] [Indexed: 07/21/2023] Open
Abstract
Objective: To estimate the survival and prognosis of patients with thyroid carcinoma (THCA) based on the Long non-coding RNA (lncRNA) traits linked to cuproptosis and to investigate the connection between the immunological spectrum of THCA and medication sensitivity. Methods: RNA-Seq data and clinical information for THCA were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We built a risk prognosis model by identifying and excluding lncRNAs associated with cuproptosis using Cox regression and LASSO methods. Both possible biological and immune infiltration functions were investigated using Principal Component Analysis (PCA), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and immunoassays. The sensitivity of the immune response to possible THCA medicines was assessed using ratings for tumor immune dysfunction and exclusion (TIDE) and tumor mutational burden (TMB). Results: Seven cuproptosis-related lncRNAs were used to construct our prognostic prediction model: AC108704.1, DIO3OS, AL157388.1, AL138767.3, STARD13-AS, AC008532.1, and PLBD1-AS1. Using data from TCGA's training, testing, and all groups, Kaplan-Meier and ROC curves demonstrated this feature's adequate predictive validity. Different clinical characteristics have varying effects on cuproptosis-related lncRNA risk models. Further analysis of immune cell infiltration and single sample Gene Set Enrichment Analysis (ssGSEA) supported the possibility that cuproptosis-associated lncRNAs and THCA tumor immunity were closely connected. Significantly, individuals with THCA showed a considerable decline in survival owing to the superposition effect of patients in the high-risk category and high TMB. Additionally, the low-risk group had a higher TIDE score compared with the high-risk group, indicating that these patients had suboptimal immune checkpoint blocking responses. To ensure the accuracy and reliability of our results, we further verified them using several GEO databases. Conclusion: The clinical and risk aspects of cuproptosis-related lncRNAs may aid in determining the prognosis of patients with THCA and improving therapeutic choices.
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Affiliation(s)
- Yinli Shi
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China
| | - Pei Sheng
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China
| | - Ming Guo
- Zhongda Hospital Southeast University, Southeast University, Nanjing, China
| | - Kai Chen
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China
| | - Hongguang Zhou
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, Nanjing, China
| | - Mianhua Wu
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, Nanjing, China
| | - Wenting Li
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, Nanjing, China
| | - Bo Li
- The First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine Prevention and Treatment of Tumor, Nanjing University of Chinese Medicine, Nanjing, China
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Hong K, Cen K, Chen Q, Dai Y, Mai Y, Guo Y. Identification and validation of a novel senescence-related biomarker for thyroid cancer to predict the prognosis and immunotherapy. Front Immunol 2023; 14:1128390. [PMID: 36761753 PMCID: PMC9902917 DOI: 10.3389/fimmu.2023.1128390] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 01/12/2023] [Indexed: 01/26/2023] Open
Abstract
Introduction Cellular senescence is a hallmark of tumors and has potential for cancer therapy. Cellular senescence of tumor cells plays a role in tumor progression, and patient prognosis is related to the tumor microenvironment (TME). This study aimed to explore the predictive value of senescence-related genes in thyroid cancer (THCA) and their relationship with the TME. Methods Senescence-related genes were identified from the Molecular Signatures Database and used to conduct consensus clustering across TCGA-THCA. Differentially expressed genes (DEGs) were identified between the clusters used to perform multivariate Cox regression and least absolute shrinkage and selection operator regression (LASSO) analyses to construct a senescence-related signature. TCGA dataset was randomly divided into training and test datasets to verify the prognostic ability of the signature. Subsequently, the immune cell infiltration pattern, immunotherapy response, and drug sensitivity of the two subtypes were analyzed. Finally, the expression of signature genes was detected across TCGA-THCA and GSE33630 datasets, and further validated by RT-qPCR. Results Three senescence clusters were identified based on the expression of 432 senescence-related genes. Then, 23 prognostic DEGs were identified in TCGA dataset. The signature, composed of six genes, showed a significant relationship with survival, immune cell infiltration, clinical characteristics, immune checkpoints, immunotherapy response, and drug sensitivity. Low-risk THCA shows a better prognosis and higher immunotherapy response than high-risk THCA. A nomogram with perfect stability constructed using signature and clinical characteristics can predict the survival of each patient. The validation part demonstrated that ADAMTSL4, DOCK6, FAM111B, and SEMA6B were expressed at higher levels in the tumor tissue, whereas lower expression of MRPS10 and PSMB7 was observed. Discussion In conclusion, the senescence-related signature is a promising biomarker for predicting the outcome of THCA and has the potential to guide immunotherapy.
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Affiliation(s)
- Kai Hong
- Department of Thyroid and Breast Surgery, Ningbo First Hospital, Ningbo, Zhejiang, China,Department of Thyroid and Breast Surgery, Ningbo Hospital of Zhejiang University, Ningbo, Zhejiang, China
| | - Kenan Cen
- Department of Geriatrics Medicine, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, Zhejiang, China
| | - Qiaoqiao Chen
- Reproductive Medicine Center, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China,Key Laboratory of Reproductive Dysfunction Management of Zhejiang Province Assisted Reproduction Unit, Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Ying Dai
- Department of Geriatrics Medicine, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, Zhejiang, China
| | - Yifeng Mai
- Department of Geriatrics Medicine, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, Zhejiang, China,*Correspondence: Yangyang Guo, ; Yifeng Mai,
| | - Yangyang Guo
- Department of Thyroid and Breast Surgery, Ningbo First Hospital, Ningbo, Zhejiang, China,Department of Thyroid and Breast Surgery, Ningbo Hospital of Zhejiang University, Ningbo, Zhejiang, China,*Correspondence: Yangyang Guo, ; Yifeng Mai,
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