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Sanjuan-Sanjuan A, Alors-Perez E, Sanchez-Frías M, Monserrat-Barbudo JA, Falguera Uceda M, Heredero-Jung S, Luque RM. Splicing Machinery Is Impaired in Oral Squamous Cell Carcinomas and Linked to Key Pathophysiological Features. Int J Mol Sci 2024; 25:6929. [PMID: 39000035 PMCID: PMC11240936 DOI: 10.3390/ijms25136929] [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: 05/30/2024] [Revised: 06/19/2024] [Accepted: 06/20/2024] [Indexed: 07/14/2024] Open
Abstract
Alternative splicing dysregulation is an emerging cancer hallmark, potentially serving as a source of novel diagnostic, prognostic, or therapeutic tools. Inhibitors of the activity of the splicing machinery can exert antitumoral effects in cancer cells. We aimed to characterize the splicing machinery (SM) components in oral squamous cell carcinoma (OSCC) and to evaluate the direct impact of the inhibition of SM-activity on OSCC-cells. The expression of 59 SM-components was assessed using a prospective case-control study of tumor and healthy samples from 37 OSCC patients, and the relationship with clinical and histopathological features was assessed. The direct effect of pladienolide-B (SM-inhibitor) on the proliferation rate of primary OSCC cell cultures was evaluated. A significant dysregulation in several SM components was found in OSCC vs. adjacent-healthy tissues [i.e., 12 out of 59 (20%)], and their expression was associated with clinical and histopathological features of less aggressiveness and overall survival. Pladienolide-B treatment significantly decreased OSCC-cell proliferation. Our data reveal a significantly altered expression of several SM-components and link it to pathophysiological features, reinforcing a potential clinical and pathophysiological relevance of the SM dysregulation in OSCC. The inhibition of SM-activity might be a therapeutic avenue in OSCC, offering a clinically relevant opportunity to be explored.
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Affiliation(s)
- Alba Sanjuan-Sanjuan
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004 Cordoba, Spain
- Oral and Maxillofacial Surgery Department, HURS, 14004 Cordoba, Spain
- Oral and Maxillofacial Surgery Department, CAMC Hospital, Charleston, WV 25301, USA
| | - Emilia Alors-Perez
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004 Cordoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Cordoba, 14014 Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), 14004 Cordoba, Spain
| | - Marina Sanchez-Frías
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004 Cordoba, Spain
- Anatomical Pathology Service, IMIBIC/HURS, 14004 Cordoba, Spain
| | - José A Monserrat-Barbudo
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004 Cordoba, Spain
- Oral and Maxillofacial Surgery Department, HURS, 14004 Cordoba, Spain
| | - Mabel Falguera Uceda
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004 Cordoba, Spain
- Oral and Maxillofacial Surgery Department, HURS, 14004 Cordoba, Spain
| | - Susana Heredero-Jung
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004 Cordoba, Spain
- Oral and Maxillofacial Surgery Department, HURS, 14004 Cordoba, Spain
| | - Raúl M Luque
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004 Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004 Cordoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Cordoba, 14014 Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), 14004 Cordoba, Spain
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Chen Y, Jiang N, Chen M, Sui B, Liu X. Identification of tumor antigens and immune subtypes in head and neck squamous cell carcinoma for mRNA vaccine development. Front Cell Dev Biol 2022; 10:1064754. [PMID: 36467412 PMCID: PMC9714632 DOI: 10.3389/fcell.2022.1064754] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 11/03/2022] [Indexed: 08/08/2023] Open
Abstract
The mRNA vaccines have been considered effective for combating cancer. However, the core components of the mRNA vaccines against head and neck squamous cell carcinoma (HNSCC) and the effects remain unclear. Our study aims to identify effective antigens in HNSCC to develop mRNA vaccines for corresponding potential patients. Here, we analyzed alternative splicing and mutation of genes in TCGA-HNSCC samples and identified seven potential tumor antigens, including SREBF1, LUC7L3, LAMA5, PCGF3, HNRNPH1, KLC4, and OFD1, which were associated with nonsense-mediated mRNA decay factor expression, overall survival prognosis and the infiltration of antigen-presenting cells. Furthermore, to select suitable patients for vaccination, immune subtypes related to HNSCC were identified by consensus clustering analysis, and visualization of the HNSCC immune landscape was performed by graph-learning-based dimensionality reduction. To address the heterogeneity of the population that is suitable for vaccination, plot cell trajectory and WGCNA were also utilized. HNSCC patients were classified into three prognostically relevant immune subtypes (Cluster 1, Cluster 2, and Cluster 3) possessing different molecular and cellular characteristics, immune modulators, and mutation statuses. Cluster 1 had an immune-activated phenotype and was associated with better survival, while Cluster 2 and Cluster 3 were immunologically cold and linked to increased tumor mutation burden. Therefore, HNSCC patients with immune subtypes Cluster 2 and Cluster 3 are potentially suitable for mRNA vaccination. Moreover, the prognostic module hub genes screened seven genes, including IGKC, IGHV3-15, IGLV1-40, IGLV1-51, IGLC3, IGLC2, and CD79A, which could be potential biomarkers to predict prognosis and identify suitable patients for mRNA vaccines. Our findings provide a theoretical basis for further research and the development of anti-HNSCC mRNA vaccines and the selection of suitable patients for vaccination.
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Affiliation(s)
- Yan Chen
- Department of Periodontology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University; Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Fudan University, Shanghai, China
| | - Ning Jiang
- Department of Oral and Craniomaxillofacial Science, Shanghai Key Laboratory of Stomatology, College of Stomatology, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Meihua Chen
- Department of Periodontology, Shanghai Stomatological Hospital & School of Stomatology, Fudan University; Shanghai Key Laboratory of Craniomaxillofacial Development and Diseases, Fudan University, Shanghai, China
| | - Baiyan Sui
- Department of Dental Materials, Shanghai Key Laboratory of Stomatology, Shanghai Biomaterials Research & Testing Center, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases, Shanghai, China
| | - Xin Liu
- Department of Dental Materials, Shanghai Key Laboratory of Stomatology, Shanghai Biomaterials Research & Testing Center, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases, Shanghai, China
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Ye F, Wu P, Zhu Y, Huang G, Tao Y, Liao Z, Guan Y. Construction of the prognostic signature of alternative splicing revealed the prognostic predictor and immune microenvironment in head and neck squamous cell carcinoma. Front Genet 2022; 13:989081. [PMID: 36338975 PMCID: PMC9633855 DOI: 10.3389/fgene.2022.989081] [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: 07/08/2022] [Accepted: 10/04/2022] [Indexed: 11/18/2022] Open
Abstract
Background: Head and neck squamous cell carcinoma (HNSC) is a prevalent and heterogeneous malignancy with poor prognosis and high mortality rates. There is significant evidence of alternative splicing (AS) contributing to tumor development, suggesting its potential in predicting prognosis and therapeutic efficacy. This study aims to establish an AS-based prognostic signature in HNSC patients. Methods: The expression profiles and clinical information of 486 HNSC patients were downloaded from the TCGA database, and the AS data were downloaded from the TCGA SpliceSeq database. The survival-associated AS events were identified by conducting a Cox regression analysis and utilized to develop a prognostic signature by fitting into a LASSO-regularized Cox regression model. Survival analysis, univariate and multivariate Cox regression analysis, and receiver operating characteristic (ROC) curve analysis were performed to evaluate the signature and an independent cohort was used for validation. The immune cell function and infiltration were analyzed by CIBERSORT and the ssGSEA algorithm. Results: Univariate Cox regression analysis identified 2726 survival-associated AS events from 1714 genes. The correlation network reported DDX39B, PRPF39, and ARGLU1 as key splicing factors (SF) regulating these AS events. Eight survival-associated AS events were selected and validated by LASSO regression to develop a prognostic signature. It was confirmed that this signature could predict HNSC outcomes independent of other variables via multivariate Cox regression analysis. The risk score AUC was more than 0.75 for 3 years, highlighting the signature’s prediction capability. Immune infiltration analysis reported different immune cell distributions between the two risk groups. The immune cell content was higher in the high-risk group than in the low-risk group. The correlation analysis revealed a significant correlation between risk score, immune cell subsets, and immune checkpoint expression. Conclusion: The prognostic signature developed from survival-associated AS events could predict the prognosis of HNSC patients and their clinical response to immunotherapy. However, this signature requires further research and validation in larger cohort studies.
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Affiliation(s)
- Fan Ye
- Department of Surgery, Division of Otolaryngology, Head and Neck Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Pingan Wu
- Department of Surgery, Division of Otolaryngology, Head and Neck Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Yaqiong Zhu
- Department of Otolaryngology Head and Neck Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Guan Huang
- Department of Surgery, Division of Otolaryngology, Head and Neck Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Ying Tao
- Department of Surgery, Division of Otolaryngology, Head and Neck Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Zhencheng Liao
- Department of Surgery, Division of Otolaryngology, Head and Neck Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Yafeng Guan
- Department of Surgery, Division of Otolaryngology, Head and Neck Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- *Correspondence: Yafeng Guan,
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Pan YJ, Liu BW, Pei DS. The Role of Alternative Splicing in Cancer: Regulatory Mechanism, Therapeutic Strategy, and Bioinformatics Application. DNA Cell Biol 2022; 41:790-809. [PMID: 35947859 DOI: 10.1089/dna.2022.0322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
[Formula: see text] Alternative splicing (AS) can generate distinct transcripts and subsequent isoforms that play differential functions from the same pre-mRNA. Recently, increasing numbers of studies have emerged, unmasking the association between AS and cancer. In this review, we arranged AS events that are closely related to cancer progression and presented promising treatments based on AS for cancer therapy. Obtaining proliferative capacity, acquiring invasive properties, gaining angiogenic features, shifting metabolic ability, and getting immune escape inclination are all splicing events involved in biological processes. Spliceosome-targeted and antisense oligonucleotide technologies are two novel strategies that are hopeful in tumor therapy. In addition, bioinformatics applications based on AS were summarized for better prediction and elucidation of regulatory routines mingled in. Together, we aimed to provide a better understanding of complicated AS events associated with cancer biology and reveal AS a promising target of cancer treatment in the future.
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Affiliation(s)
- Yao-Jie Pan
- Department of Pathology, Laboratory of Clinical and Experimental Pathology, Xuzhou Medical University, Xuzhou, China
| | - Bo-Wen Liu
- Department of General Surgery, Xuzhou Medical University, Xuzhou, China
| | - Dong-Sheng Pei
- Department of Pathology, Laboratory of Clinical and Experimental Pathology, Xuzhou Medical University, Xuzhou, China
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Loss of TACC1 variant25 inducing cell proliferation and suppressing autophagy in head and neck squamous carcinoma. Cell Death Discov 2021; 7:386. [PMID: 34897285 PMCID: PMC8665927 DOI: 10.1038/s41420-021-00777-6] [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: 07/22/2021] [Revised: 11/14/2021] [Accepted: 11/30/2021] [Indexed: 12/03/2022] Open
Abstract
Transforming acidic coiled-coil containing protein1 (TACC1) is closely related to transcription, translation and centrosome dynamics. Dysregulation of TACC1 is associated with multiple malignancies. Alternative splicing (AS) of TACC1 produces multiple variants, which are of great significance in cancer biology. However, the expression and biological functions of TACC1 variants in head and neck squamous cell carcinoma (HNSCC) remain unclear. In this study, we found for the first time that TACC1 variants exhibited a characteristic expression pattern and that TACC1 variant25 (TACC1v25) was downregulated in HNSCC tissues and cell lines. Overexpression of TACC1v25 in Cal27 and Fadu cells significantly inhibited proliferation and promoted autophagy. Moreover, expression levels of nuclear pERK and p-mTOR were significantly decreased, while the expression of Beclin-1 and the LC3II/LC3I ratio were increased in TACC1v25-overexpressed Cal27 and Fadu cells. After the addition of AKT activator SC79 to TACC1v25-overexpressed Cal27 and Fadu cells, the autophagy levels were remarkably rescued. In conclusion, TACC1v25 inhibits HNSCC progression through the ERK and AKT/mTOR pathways by inhibiting proliferation and increasing autophagy. TACC1v25 might have potential use as a tumour suppressor in HNSCC.
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Mehterov N, Kazakova M, Sbirkov Y, Vladimirov B, Belev N, Yaneva G, Todorova K, Hayrabedyan S, Sarafian V. Alternative RNA Splicing-The Trojan Horse of Cancer Cells in Chemotherapy. Genes (Basel) 2021; 12:genes12071085. [PMID: 34356101 PMCID: PMC8306420 DOI: 10.3390/genes12071085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 12/12/2022] Open
Abstract
Almost all transcribed human genes undergo alternative RNA splicing, which increases the diversity of the coding and non-coding cellular landscape. The resultant gene products might have distinctly different and, in some cases, even opposite functions. Therefore, the abnormal regulation of alternative splicing plays a crucial role in malignant transformation, development, and progression, a fact supported by the distinct splicing profiles identified in both healthy and tumor cells. Drug resistance, resulting in treatment failure, still remains a major challenge for current cancer therapy. Furthermore, tumor cells often take advantage of aberrant RNA splicing to overcome the toxicity of the administered chemotherapeutic agents. Thus, deciphering the alternative RNA splicing variants in tumor cells would provide opportunities for designing novel therapeutics combating cancer more efficiently. In the present review, we provide a comprehensive outline of the recent findings in alternative splicing in the most common neoplasms, including lung, breast, prostate, head and neck, glioma, colon, and blood malignancies. Molecular mechanisms developed by cancer cells to promote oncogenesis as well as to evade anticancer drug treatment and the subsequent chemotherapy failure are also discussed. Taken together, these findings offer novel opportunities for future studies and the development of targeted therapy for cancer-specific splicing variants.
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Affiliation(s)
- Nikolay Mehterov
- Department of Medical Biology, Medical University-Plovdiv, 4002 Plovdiv, Bulgaria; (N.M.); (M.K.); (Y.S.)
- Research Institute, Medical University-Plovdiv, 4002 Plovdiv, Bulgaria
| | - Maria Kazakova
- Department of Medical Biology, Medical University-Plovdiv, 4002 Plovdiv, Bulgaria; (N.M.); (M.K.); (Y.S.)
- Research Institute, Medical University-Plovdiv, 4002 Plovdiv, Bulgaria
| | - Yordan Sbirkov
- Department of Medical Biology, Medical University-Plovdiv, 4002 Plovdiv, Bulgaria; (N.M.); (M.K.); (Y.S.)
- Research Institute, Medical University-Plovdiv, 4002 Plovdiv, Bulgaria
| | - Boyan Vladimirov
- Department of Maxillofacial Surgery, Medical University-Plovdiv, 4002 Plovdiv, Bulgaria;
| | - Nikolay Belev
- Medical Simulation and Training Center, Medical University-Plovdiv, 4002 Plovdiv, Bulgaria;
| | - Galina Yaneva
- Department of Biology, Faculty of Pharmacy, Medical University of Varna, 9002 Varna, Bulgaria;
| | - Krassimira Todorova
- Laboratory of Reproductive OMICs Technologies, Institute of Biology and Immunology of Reproduction, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria; (K.T.); (S.H.)
| | - Soren Hayrabedyan
- Laboratory of Reproductive OMICs Technologies, Institute of Biology and Immunology of Reproduction, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria; (K.T.); (S.H.)
| | - Victoria Sarafian
- Department of Medical Biology, Medical University-Plovdiv, 4002 Plovdiv, Bulgaria; (N.M.); (M.K.); (Y.S.)
- Research Institute, Medical University-Plovdiv, 4002 Plovdiv, Bulgaria
- Correspondence: ; Tel.: +359-882-512-952
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Yan X, Cong B, Chen Q, Liu L, Luan X, Du J, Cao M. Silencing lncRNA HOXA10-AS decreases cell proliferation of oral cancer and HOXA10-antisense RNA can serve as a novel prognostic predictor. J Int Med Res 2021; 48:300060520934254. [PMID: 32776855 PMCID: PMC7418258 DOI: 10.1177/0300060520934254] [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] [Indexed: 12/14/2022] Open
Abstract
Objective Long noncoding (lnc)RNAs regulate multiple biological processes including cancer. Oral squamous cell carcinoma (OSCC) is a common malignancy with poor prognosis. We aimed to identify the function of lncRNA HOXA10 antisense RNA (HOXA10-AS) and its clinical significance. Methods We used differential expression analysis to identify aberrantly expressed lncRNAs associated with OSCC. We identified key genes related to HOXA10-AS and their biological functions using bioinformatics tools and functional enrichment analyses. We predicted the function of HOXA10-AS using gene set enrichment and variation analyses and analyzed proliferation markers at the mRNA and protein levels. Finally, we silenced HOXA10-AS using antisense oligonucleotide and assessed proliferation ability using a cell counting kit (CCK8) and clone formation assays. Results In total, 506 aberrantly expressed lncRNAs were identified. HOXA10-AS was identified as a risk factor for OSCC and its expression was positively associated with tumor grade. We identified hub genes involved in regulating proliferation and predicted that HOXA10-AS is associated with an active cell cycle and increased proliferation. Silencing HOXA10-AS decreased proliferation in OSCC cell lines. Conclusions HOXA10-AS is involved in cell proliferation and silencing it decreases proliferation. Thus, HOXA10-AS could serve as prognostic biomarker and therapeutic target for OSCC.
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Affiliation(s)
- Xiaodong Yan
- Department of Stomatology, Zibo Central Hospital, Zibo, Shandong, China
| | - Bin Cong
- Department of Stomatology, The Third Hospital of Jinan, Jinan, Shandong, China
| | - Qinchao Chen
- Department of Stomatology, Zibo Central Hospital, Zibo, Shandong, China
| | - Lingyun Liu
- Department of Stomatology, Zibo Central Hospital, Zibo, Shandong, China
| | - Xidi Luan
- Department of Orthopaedics, Zibo Mining Group Central Hospital, Zibo, Shandong, China
| | - Jianxin Du
- Department of Stomatology, Zibo Central Hospital, Zibo, Shandong, China
| | - Meng Cao
- Department of Stomatology, Zibo Central Hospital, Zibo, Shandong, China
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Genetic Drivers of Head and Neck Squamous Cell Carcinoma: Aberrant Splicing Events, Mutational Burden, HPV Infection and Future Targets. Genes (Basel) 2021; 12:genes12030422. [PMID: 33804181 PMCID: PMC7998272 DOI: 10.3390/genes12030422] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 02/16/2021] [Accepted: 03/11/2021] [Indexed: 12/15/2022] Open
Abstract
Head and neck cancers include cancers that originate from a variety of locations. These include the mouth, nasal cavity, throat, sinuses, and salivary glands. These cancers are the sixth most diagnosed cancers worldwide. Due to the tissues they arise from, they are collectively named head and neck squamous cell carcinomas (HNSCC). The most important risk factors for head and neck cancers are infection with human papillomavirus (HPV), tobacco use and alcohol consumption. The genetic basis behind the development and progression of HNSCC includes aberrant non-coding RNA levels. However, one of the most important differences between healthy tissue and HNSCC tissue is changes in the alternative splicing of genes that play a vital role in processes that can be described as the hallmarks of cancer. These changes in the expression profile of alternately spliced mRNA give rise to various protein isoforms. These protein isoforms, alternate methylation of proteins, and changes in the transcription of non-coding RNAs (ncRNA) can be used as diagnostic or prognostic markers and as targets for the development of new therapeutic agents. This review aims to describe changes in alternative splicing and ncRNA patterns that contribute to the development and progression of HNSCC. It will also review the use of the changes in gene expression as biomarkers or as the basis for the development of new therapies.
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Chang YS, Tu SJ, Chiang HS, Yen JC, Lee YT, Fang HY, Chang JG. Genome-Wide Analysis of Prognostic Alternative Splicing Signature and Splicing Factors in Lung Adenocarcinoma. Genes (Basel) 2020; 11:genes11111300. [PMID: 33142748 PMCID: PMC7693837 DOI: 10.3390/genes11111300] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 10/29/2020] [Accepted: 10/29/2020] [Indexed: 12/22/2022] Open
Abstract
Analysis of The Cancer Genome Atlas data revealed that alternative splicing (AS) events could serve as prognostic biomarkers in various cancer types. This study examined lung adenocarcinoma (LUAD) tissues for AS and assessed AS events as potential indicators of prognosis in our cohort. RNA sequencing and bioinformatics analysis were performed. We used SUPPA2 to analyze the AS profiles. Using univariate Cox regression analysis, overall survival (OS)-related AS events were identified. Genes relating to the OS-related AS events were imported into Cytoscape, and the CytoHubba application was run. OS-related splicing factors (SFs) were explored using the log-rank test. The relationship between the percent spliced-in value of the OS-related AS events and SF expression was identified by Spearman correlation analysis. We found 1957 OS-related AS events in 1151 genes, and most were protective factors. Alternative first exon splicing was the most frequent type of splicing event. The hub genes in the gene network of the OS-related AS events were FBXW11, FBXL5, KCTD7, UBB and CDC27. The area under the curve of the MIX prediction model was 0.847 for 5-year survival based on seven OS-related AS events. Overexpression of SFs CELF2 and SRSF5 was associated with better OS. We constructed a correlation network between SFs and OS-related AS events. In conclusion, we identified prognostic predictors using AS events that stratified LUAD patients into high- and low-risk groups. The discovery of the splicing networks in this study provides an insight into the underlying mechanisms.
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Affiliation(s)
- Ya-Sian Chang
- Epigenome Research Center, China Medical University Hospital, 404 Taichung, Taiwan; (Y.-S.C.); (J.-C.Y.); (Y.-T.L.)
- Department of Laboratory Medicine, China Medical University Hospital, 404 Taichung, Taiwan; (S.-J.T.); (H.-S.C.)
- Center for Precision Medicine, China Medical University Hospital, 404 Taichung, Taiwan
- Department of Medical Laboratory Science and Biotechnology, China Medical University, 404 Taichung, Taiwan
| | - Siang-Jyun Tu
- Department of Laboratory Medicine, China Medical University Hospital, 404 Taichung, Taiwan; (S.-J.T.); (H.-S.C.)
| | - Hui-Shan Chiang
- Department of Laboratory Medicine, China Medical University Hospital, 404 Taichung, Taiwan; (S.-J.T.); (H.-S.C.)
| | - Ju-Chen Yen
- Epigenome Research Center, China Medical University Hospital, 404 Taichung, Taiwan; (Y.-S.C.); (J.-C.Y.); (Y.-T.L.)
| | - Ya-Ting Lee
- Epigenome Research Center, China Medical University Hospital, 404 Taichung, Taiwan; (Y.-S.C.); (J.-C.Y.); (Y.-T.L.)
| | - Hsin-Yuan Fang
- Department of Thoracic Surgery, China Medical University Hospital, 404 Taichung, Taiwan;
| | - Jan-Gowth Chang
- Epigenome Research Center, China Medical University Hospital, 404 Taichung, Taiwan; (Y.-S.C.); (J.-C.Y.); (Y.-T.L.)
- Department of Laboratory Medicine, China Medical University Hospital, 404 Taichung, Taiwan; (S.-J.T.); (H.-S.C.)
- Center for Precision Medicine, China Medical University Hospital, 404 Taichung, Taiwan
- School of Medicine, China Medical University, 404 Taichung, Taiwan
- Department of Bioinformatics and Medical Engineering, Asia University, 413 Taichung, Taiwan
- Correspondence: ; Tel.: +886-4-22052121 (ext. 2008)
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Chen H, Luo J, Guo J. Identification of an alternative splicing signature as an independent factor in colon cancer. BMC Cancer 2020; 20:904. [PMID: 32962686 PMCID: PMC7510085 DOI: 10.1186/s12885-020-07419-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 09/15/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Colon cancer is a common malignant tumor with a poor prognosis. Abnormal alternative splicing (AS) events played a part in the occurrence and metastasis of the tumor. We aimed to develop a survival-associated AS signature in colon cancer. METHODS The Percent Spliced In values of AS events were available in The Cancer Genome Atlas (TCGA) SpliceSeq database. Univariate Cox analysis was carried out to detect the prognosis-related AS events. We created a predictive model on account of the survival-associated AS events, which was further validated with a training-testing group design. Kaplan-Meier analysis was applied to assess patient survival. The area under curve (AUC) of receiver operating characteristic (ROC) was performed to evaluate the predictive values of this model. Meanwhile, the clinical relevance of the signature and its regulatory relationship with splicing factors (SFs) were also evaluated. RESULTS In total, 2132 survival-related AS events were identified from colon cancer samples. We developed an eleven-AS signature, in which the 5-year AUC value was 0.911. Meanwhile, the AUC values at five years were 0.782 and 0.855 in the testing and entire cohort, respectively. Multivariate Cox regression displayed that the T category and the risk score of the signature were independent risk factors of colon cancer survival. Also, we constructed an SFs-AS network based on 11 SFs and 48 AS events. CONCLUSIONS We identified an eleven-AS signature of colon cancer. This signature could be treated as an independent prognostic factor.
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Affiliation(s)
- Haitao Chen
- Department of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Jun Luo
- Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.,Wuhan University Center for Pathology and Molecular Diagnostics, Wuhan, 430071, China
| | - Jianchun Guo
- Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China. .,Wuhan University Center for Pathology and Molecular Diagnostics, Wuhan, 430071, China.
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Zhao X, Si S, Li X, Sun W, Cui L. Identification and validation of an alternative splicing-based prognostic signature for head and neck squamous cell carcinoma. J Cancer 2020; 11:4571-4580. [PMID: 32489474 PMCID: PMC7255372 DOI: 10.7150/jca.44746] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 03/28/2020] [Indexed: 12/17/2022] Open
Abstract
Increasing evidence has demonstrated that changes in alternative splicing (AS) events are closely associated with the initiation and progression of cancer. However, the concrete role of AS in tumorigenesis of head and neck squamous cell carcinoma (HNSCC) is poorly known. In this study, we aimed to investigate the AS profile in HNSCC, and build up a robust AS-based prognostic signature for HNSCC. Our results revealed a total of 4068 overall survival (OS) associated AS events in the TCGA HNSCC cohort. The whole TCGA HNSCC cohort was randomly divided into discovery cohort and validation cohort. A prognostic signature including five AS events was developed with the discovery cohort based on the most significant OS-associated AS events. Then it was further successfully validated in the validation cohort. The AS-based risk signature was an independent prognostic indicator in both discovery cohort and validation cohort. This prognostic signature-based nomogram model showed excellent performance for predicting the OS of HNSCC. Splicing network analysis have identified the most correlated splicing factor-AS network in HNSCC. Collectively, we have constructed a robust AS-based prognostic signature which might contribute to improve the clinical outcome of HNSCC.
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Affiliation(s)
- Xinyuan Zhao
- Stomatological Hospital, Southern Medical University, Guangzhou 510280, China
| | - Shanshan Si
- Stomatological Hospital, Southern Medical University, Guangzhou 510280, China
| | - Xiaona Li
- Stomatological Hospital, Southern Medical University, Guangzhou 510280, China
| | - Wenjuan Sun
- Department of Stomatology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Li Cui
- UCLA School of Dentistry, Los Angeles, CA 90095, USA
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Xing L, Guo M, Zhang X, Zhang X, Liu F. A transcriptional metabolic gene-set based prognostic signature is associated with clinical and mutational features in head and neck squamous cell carcinoma. J Cancer Res Clin Oncol 2020; 146:621-630. [DOI: 10.1007/s00432-020-03155-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Accepted: 02/11/2020] [Indexed: 12/14/2022]
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13
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Xing L, Zhang X, Guo M, Zhang X, Liu F. Application of Machine Learning in Developing a Novelty Five-Pseudogene Signature to Predict Prognosis of Head and Neck Squamous Cell Carcinoma: A New Aspect of "Junk Genes" in Biomedical Practice. DNA Cell Biol 2020; 39:709-723. [PMID: 32045271 DOI: 10.1089/dna.2019.5272] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) is the sixth malignancy, which is characterized by poor prognosis or high mortality because of the lack of predicting markers. Aberrant cancer pseudogenes have been found predictive for prognosis. We aim to identify a pseudogene-based prognosis signature for HNSCC by machine learning. RNA-seq data were downloaded from The Cancer Genome Atlas, and 700 differentially-expressed pseudogenes were identified. The survival-related pseudogenes were screened through COX-regression analysis, which includes univariate regression, least absolute shrinkage and selection operator regression, and multivariate regression, and a five-pseudogene signature was constructed. The value of prediction for the signature was validated in multiple subgroups in terms of survival. Gene set enrichment analysis (GSEA) and coexpression analysis were used to determine the underlying biological functions. Seven hundred dysregulated pseudogenes were identified, and the five-pseudogene signature can distinguish the low-risk and high-risk patients for both training and testing sets and predicted prognosis with high sensitivity and specificity. Furthermore, the signature was applicable to patients of different genders, ages, stages, and grades. Coexpression analysis revealed that the five-pseudogene is associated with immune system. GSEA showed cancer-related biological process and pathways the five-pseudogene involved in. The five-pseudogene signature is not only a novel marker for prognosis but also a promising signature for monitoring therapeutic schedule. Therefore, our findings may have potential clinical significance.
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Affiliation(s)
- Lu Xing
- School and Hospital of Stomatology, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Jinan, Shandong, China
| | - Xiaoqi Zhang
- Sichuan University, West China Hospital of Stomatology, Department of Orthodontontics, State Key Laboratory of Oral Disease, National Clinical Research Centre of Oral Disease, Chengdu, China
| | - Mingzhu Guo
- School and Hospital of Stomatology, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Jinan, Shandong, China
| | - Xiaoqian Zhang
- Department of Stomatology, Haiyuan College of Kunming Medical University, Kunming, China
| | - Feng Liu
- School and Hospital of Stomatology, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Jinan, Shandong, China
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14
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Xing L, Zhang X, Zhang X, Tong D. Expression scoring of a small-nucleolar-RNA signature identified by machine learning serves as a prognostic predictor for head and neck cancer. J Cell Physiol 2020; 235:8071-8084. [PMID: 31943178 PMCID: PMC7540035 DOI: 10.1002/jcp.29462] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 01/07/2020] [Indexed: 02/05/2023]
Abstract
Head and neck squamous cell carcinoma (HNSCC) is a common malignancy with high mortality and poor prognosis due to a lack of predictive markers. Increasing evidence has demonstrated small nucleolar RNAs (snoRNAs) play an important role in tumorigenesis. The aim of this study was to identify a prognostic snoRNA signature of HNSCC. Survival-related snoRNAs were screened by Cox regression analysis (univariate, least absolute shrinkage and selection operator, and multivariate). The predictive value was validated in different subgroups. The biological functions were explored by coexpression analysis and gene set enrichment analysis (GSEA). One hundred and thirteen survival-related snoRNAs were identified, and a five-snoRNA signature predicted prognosis with high sensitivity and specificity. Furthermore, the signature was applicable to patients of different sexes, ages, stages, grades, and anatomic subdivisions. Coexpression analysis and GSEA revealed the five-snoRNA are involved in regulating malignant phenotype and DNA/RNA editing. This five-snoRNA signature is not only a promising predictor of prognosis and survival but also a potential biomarker for patient stratification management.
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Affiliation(s)
- Lu Xing
- Shandong Key Laboratory of Oral Tissue Regeneration, School of Stomatology, Shandong University, Jinan, Shandong, China
| | - Xiaoqi Zhang
- State Key Laboratory of Oral Disease, Department of Orthodontics, West China Hospital Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Xiaoqian Zhang
- Department of Stomatology, Haiyuan College of Kunming Medical University, Kunming, Yunnan, China
| | - Dongdong Tong
- Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Jinan, Shandong, China
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15
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Zhang S, Wu X, Diao P, Wang C, Wang D, Li S, Wang Y, Cheng J. Identification of a prognostic alternative splicing signature in oral squamous cell carcinoma. J Cell Physiol 2019; 235:4804-4813. [PMID: 31637730 DOI: 10.1002/jcp.29357] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 10/07/2019] [Indexed: 12/23/2022]
Affiliation(s)
- Shuting Zhang
- Jiangsu Key Laboratory of Oral Disease Nanjing Medical University Jiangsu China
| | - Xiang Wu
- Jiangsu Key Laboratory of Oral Disease Nanjing Medical University Jiangsu China
| | - Pengfei Diao
- Jiangsu Key Laboratory of Oral Disease Nanjing Medical University Jiangsu China
| | - Chenxing Wang
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Stomatology Nanjing Medical University Nanjing China
| | - Dongmiao Wang
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Stomatology Nanjing Medical University Nanjing China
| | - Sheng Li
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Stomatology Nanjing Medical University Nanjing China
| | - Yanling Wang
- Jiangsu Key Laboratory of Oral Disease Nanjing Medical University Jiangsu China
| | - Jie Cheng
- Jiangsu Key Laboratory of Oral Disease Nanjing Medical University Jiangsu China
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Stomatology Nanjing Medical University Nanjing China
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Xing L, Zhang X, Chen A. Prognostic 4-lncRNA-based risk model predicts survival time of patients with head and neck squamous cell carcinoma. Oncol Lett 2019; 18:3304-3316. [PMID: 31452809 PMCID: PMC6704293 DOI: 10.3892/ol.2019.10670] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 07/01/2019] [Indexed: 12/12/2022] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) is a common malignant disease with high mortality rates. Recently, long non-coding RNAs (lncRNAs) have been demonstrated to participate in a number of important biological functions and could serve as prognostic biomarkers in the field of oncology. Therefore, the present study aimed to identify an lncRNA-based model that was associated with prognosis. RNA-sequencing data was downloaded from The Cancer Genome Atlas and R software was used to analyze the data. Univariate analyses, robust likelihood analyses and multivariate analyses were performed to screen out key lncRNA candidates associated with prognosis and construct a risk model. A Kaplan-Meier plot was constructed for survival analysis. LncBase and Starbase were used to identify the miRNA and protein targets. Gene set enrichment analysis was used for functional analysis. As a result, a 4-lncRNA (ALMS1-IT1, RP11-359J14.2, CTB-178M22.2 and RP11-347C18.5) based risk model was identified and patients in the high-risk group were revealed to have a lower survival rate than patients in the low-risk group. A nomogram that could predict the survival of patients was plotted. A total of 79 target miRNAs and 61 target proteins were identified. The gene set enrichment analysis results revealed that nutrient metabolism pathways were enriched in the high-risk group and immune regulation pathways were enriched in the low-risk group. In summary, a 4-lncRNA based risk model was identified that was associated with prognosis, which may serve as a prognosis prediction biomarker for HNSCC.
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Affiliation(s)
- Lu Xing
- School of Stomatology, Shandong University, Shandong Provincial Key Laboratory of Oral Tissue Regeneration, Jinan, Shandong 250012, P.R. China
| | - Xiaoqian Zhang
- Department of Stomatology, Haiyuan College of Kunming Medical University, Kunming, Yunnan 650000, P.R. China
| | - Anwei Chen
- Department of Oral and Maxillofacial Surgery, Qilu Hospital, Institute of Stomatology, Shandong University, Jinan, Shandong 250000, P.R. China
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A Four-Pseudogene Classifier Identified by Machine Learning Serves as a Novel Prognostic Marker for Survival of Osteosarcoma. Genes (Basel) 2019; 10:genes10060414. [PMID: 31146489 PMCID: PMC6628621 DOI: 10.3390/genes10060414] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 05/22/2019] [Accepted: 05/24/2019] [Indexed: 12/17/2022] Open
Abstract
Osteosarcoma is a common malignancy with high mortality and poor prognosis due to lack of predictive markers. Increasing evidence has demonstrated that pseudogenes, a type of non-coding gene, play an important role in tumorigenesis. The aim of this study was to identify a prognostic pseudogene signature of osteosarcoma by machine learning. A sample of 94 osteosarcoma patients’ RNA-Seq data with clinical follow-up information was involved in the study. The survival-related pseudogenes were screened and related signature model was constructed by cox-regression analysis (univariate, lasso, and multivariate). The predictive value of the signature was further validated in different subgroups. The putative biological functions were determined by co-expression analysis. In total, 125 survival-related pseudogenes were identified and a four-pseudogene (RPL11-551L14.1, HR: 0.65 (95% CI: 0.44–0.95); RPL7AP28, HR: 0.32 (95% CI: 0.14–0.76); RP4-706A16.3, HR: 1.89 (95% CI: 1.35–2.65); RP11-326A19.5, HR: 0.52(95% CI: 0.37–0.74)) signature effectively distinguished the high- and low-risk patients, and predicted prognosis with high sensitivity and specificity (AUC: 0.878). Furthermore, the signature was applicable to patients of different genders, ages, and metastatic status. Co-expression analysis revealed the four pseudogenes are involved in regulating malignant phenotype, immune, and DNA/RNA editing. This four-pseudogene signature is not only a promising predictor of prognosis and survival, but also a potential marker for monitoring therapeutic schedule. Therefore, our findings may have potential clinical significance.
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