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Shang Y, Yang H, Cui J, Wang L, Wang L, Wang Y, Zhao M, Yu P, Qiao H, Yang W. Transcriptomics analysis of LINC02202/XBP1 axis in melanoma: Implications for drug targeting and PD-1 monoclonal antibody efficacy. J Cell Mol Med 2024; 28:e18247. [PMID: 38520212 PMCID: PMC10960173 DOI: 10.1111/jcmm.18247] [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: 12/28/2023] [Revised: 02/19/2024] [Accepted: 03/04/2024] [Indexed: 03/25/2024] Open
Abstract
Malignant melanoma (MM) is a highly aggressive and deadly form of skin cancer, primarily caused by recurrence and metastasis. Therefore, it is crucial to investigate the regulatory mechanisms underlying melanoma recurrence and metastasis. Our study has identified a potential targeted regulatory relationship between LINC02202, miR-526b-3p and XBP1 in malignant melanoma. Through the regulation of the miR-526b-3p/XBP1 signalling pathway, LINC02202 may play a role in tumour progression and immune infiltration and inhibiting the expression of LINC02202 can increase the efficacy of immunotherapy for melanoma. Our findings shed light on the impact of LINC02202/XBP1 on the phenotype and function of malignant melanoma cells. Furthermore, this study provides a theoretical foundation for the development of novel immunotherapy strategies for malignant melanoma.
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Affiliation(s)
- Yuanyuan Shang
- School of Public HealthNingxia Medical UniversityYinchuanChina
| | | | - Jian Cui
- Department of AnesthesiaGeneral Hospital of NingXia Medical UniversityYinchuanChina
| | - Lipeng Wang
- Department of DermatologyGeneral Hospital of Ningxia Medical UniversityYinchuanChina
| | - Le Wang
- Department of DermatologyGeneral Hospital of Ningxia Medical UniversityYinchuanChina
| | - Yuan Wang
- Department of DermatologyGeneral Hospital of Ningxia Medical UniversityYinchuanChina
| | | | - Pei‐Yao Yu
- Department of AnesthesiaGeneral Hospital of NingXia Medical UniversityYinchuanChina
| | - Hui Qiao
- School of Public HealthNingxia Medical UniversityYinchuanChina
| | - Wen‐Jun Yang
- Pathology DepartmentThe First Affiliated Hospital, Hainan Medical UniversityHaikouChina
- Cancer InstituteThe General Hospital of Ningxia Medical UniversityYinchuanChina
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Chehelgerdi M, Chehelgerdi M. The use of RNA-based treatments in the field of cancer immunotherapy. Mol Cancer 2023; 22:106. [PMID: 37420174 PMCID: PMC10401791 DOI: 10.1186/s12943-023-01807-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 06/13/2023] [Indexed: 07/09/2023] Open
Abstract
Over the past several decades, mRNA vaccines have evolved from a theoretical concept to a clinical reality. These vaccines offer several advantages over traditional vaccine techniques, including their high potency, rapid development, low-cost manufacturing, and safe administration. However, until recently, concerns over the instability and inefficient distribution of mRNA in vivo have limited their utility. Fortunately, recent technological advancements have mostly resolved these concerns, resulting in the development of numerous mRNA vaccination platforms for infectious diseases and various types of cancer. These platforms have shown promising outcomes in both animal models and humans. This study highlights the potential of mRNA vaccines as a promising alternative approach to conventional vaccine techniques and cancer treatment. This review article aims to provide a thorough and detailed examination of mRNA vaccines, including their mechanisms of action and potential applications in cancer immunotherapy. Additionally, the article will analyze the current state of mRNA vaccine technology and highlight future directions for the development and implementation of this promising vaccine platform as a mainstream therapeutic option. The review will also discuss potential challenges and limitations of mRNA vaccines, such as their stability and in vivo distribution, and suggest ways to overcome these issues. By providing a comprehensive overview and critical analysis of mRNA vaccines, this review aims to contribute to the advancement of this innovative approach to cancer treatment.
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Affiliation(s)
- Mohammad Chehelgerdi
- Novin Genome (NG) Lab, Research and Development Center for Biotechnology, Shahrekord, Iran.
- Young Researchers and Elite Club, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran.
| | - Matin Chehelgerdi
- Novin Genome (NG) Lab, Research and Development Center for Biotechnology, Shahrekord, Iran
- Young Researchers and Elite Club, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
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Yu Y, Liu Y, Li Y, Yang X, Han M, Fan Q. Construction of a CCL20-centered circadian-signature based prognostic model in cervical cancer. Cancer Cell Int 2023; 23:92. [PMID: 37183243 PMCID: PMC10184429 DOI: 10.1186/s12935-023-02926-6] [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: 01/12/2023] [Accepted: 04/13/2023] [Indexed: 05/16/2023] Open
Abstract
BACKGROUND Rather low vaccination rates for Human papillomavirus (HPV) and pre-existing cervical cancer patients with limited therapeutic strategies ask for more precise prognostic model development. On the other side, the clinical significance of circadian clock signatures in cervical cancer lacks investigation. METHODS Subtypes classification based upon eight circadian clock core genes were implemented in TCGA-CESC through k-means clustering methods. Afterwards, KEGG, GO and GSEA analysis were conducted upon differentially expressed genes (DEGs) between high and low-risk groups, and tumor microenvironment (TME) investigation by CIBERSORT and ESTIMATE. Furthermore, a prognostic model was developed by cox and lasso regression methods, and verified in GSE44001 by time-dependent receiver-operating characteristic curve (ROC) analysis. Lastly, FISH and IHC were used for validation of CCL20 expression in patients' specimens and U14 subcutaneous tumor models were built for TME composition. RESULTS We successfully classified cervical patients into high-risk and low-risk groups based upon circadian-oscillation-signatures. Afterwards, we built a prognostic risk model composed of GJB2, CCL20 and KRT24 with excellent predictive value on patients' overall survival (OS). We then proposed metabolism unbalance, especially for glycolysis, and immune related pathways to be major enriched signatures between the high-risk and low-risk groups. Then, we proposed an 'immune-desert'-like suppressive myeloid cells infiltration pattern in high-risk group TME and verified its resistance to immunotherapies. Finally, CCL20 was proved positively correlated with real-world patients' stages and induced significant less CD8+ T cells and more M2 macrophages infiltration in mouse model. CONCLUSIONS We unraveled a prognostic risk model based upon circadian oscillation and verified its solidity. Specifically, we unveiled distinct TME immune signatures in high-risk groups.
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Affiliation(s)
- Yuchong Yu
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases Affifiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yao Liu
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases Affifiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Li
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases Affifiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoming Yang
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Diseases Affifiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mi Han
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology, Shanghai, China.
- Shanghai Key Laboratory of Embryo Original Diseases Affifiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Qiong Fan
- Department of Gynecologic Oncology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- Shanghai Municipal Key Clinical Specialty of Gynecologic Oncology, Shanghai, China.
- Shanghai Key Laboratory of Embryo Original Diseases Affifiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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The Value of m5C-Related lncRNAs in the Prognostic Assessment and Immunotherapy of Stomach Adenocarcinoma. BIOMED RESEARCH INTERNATIONAL 2022; 2022:2747799. [PMID: 35711526 PMCID: PMC9197623 DOI: 10.1155/2022/2747799] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/24/2022] [Indexed: 12/16/2022]
Abstract
Long noncoding RNAs (lncRNAs) are closely associated with a variety of tumors, including stomach adenocarcinoma (STAD). However, the role of 5-methylcytosine- (m5C-) related lncRNAs in STAD is still uncertain. This study investigated the value of m5C-related lncRNAs in prognostic evaluation and immunotherapy of STAD. STAD transcriptome sequencing data were downloaded from The Cancer Genome Atlas (TCGA) database, and m5C-related lncRNAs were screened by Pearson correlation analysis. A prognostic m5C-related lncRNA signature (m5CRLSig) associated with STAD was established using univariate and multivariate Cox regression analysis. We constructed a prognostic risk model for STAD with six m5C-related lncRNAs. The receiver operating characteristic (ROC) curve was used to examine the predictive efficacy. Univariate and multifactorial Cox regression analysis and principal component analysis (PCA) validated m5CRLSig as an independent factor of STAD prognosis. The clinicopathological characteristics of the model showed higher risk scores for stages II-IV, grade 3, N1-3, and death status. The calibration curve of a nomogram revealed that the nomogram had an excellent predictive function for survival risk. Furthermore, the expression of six m5C-related lncRNAs in STAD and paracancerous tissues was detected by quantitative real-time PCR (qRT-PCR), which verified the feasibility of the m5CRLSig as a prognostic marker for STAD. m5C-related lncRNAs were linked to multiple immune-associated pathways, according to gene set enrichment analysis (GSEA). CIBERSORT analysis indicated that m5CRLSig was involved in immune cell infiltration. Risk score was associated with immune checkpoint gene expression, immune function scores, and chemotherapeutic drug sensitivity. Therefore, m5CRLSig can efficiently assess the prognosis of STAD patients and can be used as a biological marker for immunotherapy.
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