1
|
Wu C, Jiang J, Ci C. The correlation between the MYBL2/CDCA8 signaling pathway of malignant melanoma. Heliyon 2024; 10:e32485. [PMID: 38961953 PMCID: PMC11219495 DOI: 10.1016/j.heliyon.2024.e32485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 06/04/2024] [Accepted: 06/04/2024] [Indexed: 07/05/2024] Open
Abstract
Objective Investigating the effects of MYB proto-oncogene like 2 (MYBL2)-mediated regulation of Cell division cycle associated 8 (CDCA8) expression on the biological activity of cutaneous malignant melanoma cells. Methods A375 cells with MYBL2 and CDCA8 overexpression and knockdown were evaluated using migration, invasion, and proliferation assays. Besides, cell apoptosis was quantified by flow cytometry. To investigate the tumorigenic effects of MYBL2 knockdown in vivo, A375 cells with MYBL2 knockdown were injected in BALB/C nude mice. Results The levels of MYBL2 and CDCA8 gene expression were notably elevated in A375 cells in comparison to HaCat cells (P < 0.05). Downregulation of MYBL2 led to a notable reduction in the migratory and invasive capability of A375 cells in vitro (P < 0.001). On the contrary, overexpression of MYBL2 enhanced migration and invasion ability (P < 0.001). There existed a positive correlation between CDCA8 and MYBL2 gene and protein expression levels after overexpression or knockdown of MYBL2 (P < 0.001). In the in vivo tumorigenic study, the MYBL2 knockdown group displayed a substantial decrease in tumor volume (P < 0.01) and exhibited decreased CDCA8 expression in tumors in comparison to the control group. Conclusion We arrived at such a conclusion that MYBL2 promoted the migration, invasion and proliferation ability of cutaneous malignant melanoma cells by targeted regulation of CDCA8 expression in this study.
Collapse
Affiliation(s)
- Chen Wu
- Department of Dermatology, The First Affiliated Hospital of Wannan Medical College, No. 2 Zheshan West Road, Wuhu, Anhui, 241001, China
| | - Jiahui Jiang
- Department of Dermatology, The First Affiliated Hospital of Wannan Medical College, No. 2 Zheshan West Road, Wuhu, Anhui, 241001, China
| | - Chao Ci
- Department of Dermatology, The First Affiliated Hospital of Wannan Medical College, No. 2 Zheshan West Road, Wuhu, Anhui, 241001, China
| |
Collapse
|
2
|
Lei H, Liao J, Wang X, Huang R, Ying C, Yang J. ALDH2 is a novel biomarker and exerts an inhibitory effect on melanoma. Sci Rep 2024; 14:4183. [PMID: 38378847 PMCID: PMC10879513 DOI: 10.1038/s41598-024-54084-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 02/08/2024] [Indexed: 02/22/2024] Open
Abstract
Melanoma is a malignant skin tumor. This study aimed to explore and assess the effect of novel biomarkers on the progression of melanoma. Differently expressed genes (DEGs) were screened from GSE3189 and GSE46517 datasets of Gene Expression Omnibus database using GEO2R. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were conducted based on the identified DEGs. Hub genes were identified and assessed using protein-protein interaction networks, principal component analysis, and receiver operating characteristic curves. Quantitative real-time polymerase chain reaction was employed to measure the mRNA expression levels. TIMER revealed the association between aldehyde dehydrogenase 2 (ALDH2) and tumor immune microenvironment. The viability, proliferation, migration, and invasion were detected by cell counting kit-8, 5-ethynyl-2'-deoxyuridine, wound healing, and transwell assays. Total 241 common DEGs were screened out from GSE3189 and GSE46517 datasets. We determined 6 hub genes with high prediction values for melanoma, which could distinguish tumor samples from normal samples. ALDH2, ADH1B, ALDH3A2, DPT, EPHX2, and GATM were down-regulated in A375 and SK-MEL-2 cells, compared with the human normal melanin cell line (PIG1 cells). ALDH2 was selected as the candidate gene in this research, presenting a high diagnostic and predictive value for melanoma. ALDH2 had a positive correlation with the infiltrating levels of immune cells in melanoma microenvironment. Overexpression of ALDH2 inhibited cell viability, proliferation, migration, and invasion of A375/SK-MEL-2 cells. ALDH2 is a new gene biomarker of melanoma, which exerts an inhibitory effect on melanoma.
Collapse
Affiliation(s)
- Hua Lei
- Department of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China
| | - Jinfeng Liao
- Department of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China
| | - Xinyu Wang
- Department of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China
| | - Rong Huang
- Department of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China
| | - Chuanpeng Ying
- Department of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China.
| | - Jianing Yang
- Department of Dermatology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, West Second Section, Yihuan Road, Qingyang District, Chengdu City, 610072, Sichuan Province, China.
| |
Collapse
|
3
|
Nurzat Y, Dai D, Hu J, Zhang F, Lin Z, Huang Y, Gang L, Ji H, Zhang X. Prognostic biomarker CCR6 and its correlation with immune infiltration in cutaneous melanoma. Front Oncol 2023; 13:1162406. [PMID: 37182147 PMCID: PMC10166847 DOI: 10.3389/fonc.2023.1162406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 04/03/2023] [Indexed: 05/16/2023] Open
Abstract
Background Cutaneous melanoma (CM) is an aggressive type of skin cancer. Even after standard treatment, the recurrence and malignant progression of CM were almost inevitable. The overall survival (OS) of patients with CM varied widely, making it critical for prognostic prediction. Based on the correlation between CCR6 and melanoma incidence, we aimed to investigate the prognostic role of CCR6 and its relationship with immune infiltration in CM. Methods We obtained RNA sequencing data from The Cancer Genome Atlas (TCGA) to analyze the CM expression. Functional enrichment analyses, immune infiltration analyses, immune checkpoint analyses, and clinicopathology analyses were performed. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors. A nomogram model had been developed. Kaplan-Meier survival analysis and log-rank test were used to estimate the relationship between OS and CCR6 expression. Results CCR6 was significantly upregulated in CM. Functional enrichment analyses revealed that CCR6 was correlated with immune response. Most immune cells and immune checkpoints were positively correlated with CCR6 expression. Kaplan-Meier analyses showed that high CCR6 expression was associated with a good outcome in CM and its subtypes. Cox regression showed that CCR6 was an independent prognostic factor in patients with CM (HR = 0.550, 95% CI = 0.332-0.912, p<0.05). Conclusions CCR6 is considered to be a new prognostic biomarker for patients with CM, and our study provides a potential therapeutic target for CM treatment.
Collapse
Affiliation(s)
- Yeltai Nurzat
- State Key Laboratory of Respiratory Disease, Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Damao Dai
- Department of Plastic and Cosmetic Surgery, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
| | - Julong Hu
- State Key Laboratory of Respiratory Disease, Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Feiyu Zhang
- State Key Laboratory of Respiratory Disease, Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zaihuan Lin
- State Key Laboratory of Respiratory Disease, Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yang Huang
- Department of Operating Room, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
| | - Liang Gang
- Department of Plastic Surgery, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Hang Ji
- Department of Plastic Surgery, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xiaowen Zhang
- State Key Laboratory of Respiratory Disease, Department of Otolaryngology-Head and Neck Surgery, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Allergy and Clinical Immunology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Cancer, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| |
Collapse
|
4
|
Georgescu SR, Mitran CI, Mitran MI, Matei C, Constantin C, Neagu M, Tampa M. Apprising Diagnostic and Prognostic Biomarkers in Cutaneous Melanoma—Persistent Updating. J Pers Med 2022; 12:jpm12091506. [PMID: 36143291 PMCID: PMC9505119 DOI: 10.3390/jpm12091506] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/11/2022] [Accepted: 09/11/2022] [Indexed: 12/11/2022] Open
Abstract
The incidence of melanoma, a very aggressive skin cancer, has increased over the past few decades. Although there are well-established clinical, dermoscopic and histopathological criteria, the diagnosis is often performed late, which has important implications on the patient’s clinical outcome. Unfortunately, melanoma is one of the most challenging tumors to diagnose because it is a heterogeneous neoplasm at the clinical, histopathological, and molecular level. The use of reliable biomarkers for the diagnosis and monitoring of disease progression is becoming a standard of care in modern medicine. In this review, we discuss the latest studies, which highlight findings from the genomics, epitranscriptomics, proteomics and metabolomics areas, pointing out different genes, molecules and cells as potential diagnostic and prognostic biomarkers in cutaneous melanoma.
Collapse
Affiliation(s)
- Simona Roxana Georgescu
- Department of Dermatology, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Dermatology, “Victor Babes” Clinical Hospital for Infectious Diseases, 030303 Bucharest, Romania
| | - Cristina Iulia Mitran
- Department of Microbiology, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Correspondence: (C.I.M.); (M.I.M.)
| | - Madalina Irina Mitran
- “Cantacuzino” National Medico-Military Institute for Research and Development, 011233 Bucharest, Romania
- Correspondence: (C.I.M.); (M.I.M.)
| | - Clara Matei
- Department of Dermatology, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
| | - Carolina Constantin
- Immunology Department, “Victor Babes” National Institute of Pathology, 050096 Bucharest, Romania
- Colentina Clinical Hospital, 020125 Bucharest, Romania
| | - Monica Neagu
- Immunology Department, “Victor Babes” National Institute of Pathology, 050096 Bucharest, Romania
- Colentina Clinical Hospital, 020125 Bucharest, Romania
- Faculty of Biology, University of Bucharest, 030018 Bucharest, Romania
| | - Mircea Tampa
- Department of Dermatology, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Dermatology, “Victor Babes” Clinical Hospital for Infectious Diseases, 030303 Bucharest, Romania
| |
Collapse
|
5
|
Ding L, Gosh A, Lee DJ, Emri G, Huss WJ, Bogner PN, Paragh G. Prognostic biomarkers of cutaneous melanoma. PHOTODERMATOLOGY, PHOTOIMMUNOLOGY & PHOTOMEDICINE 2022; 38:418-434. [PMID: 34981569 DOI: 10.1111/phpp.12770] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 12/02/2021] [Accepted: 12/30/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND/PURPOSE Melanomas account for only approximately 4% of diagnosed skin cancers in the United States but are responsible for the majority of deaths caused by skin cancer. Both genetic factors and ultraviolet (UV) radiation exposure play a role in the development of melanoma. Although melanomas have a strong propensity to metastasize when diagnosed late, melanomas that are diagnosed and treated early pose a low mortality risk. In particular, the identification of patients with increased metastatic risk, who may benefit from early adjuvant therapies, is crucial, especially given the advent of new melanoma treatments. However, the accuracy of classic clinical and histological variables, including the Breslow thickness, presence of ulceration, and lymph node status, might not be sufficient to identify such individuals. Thus, there is a need for the development of additional prognostic melanoma biomarkers that can improve early attempts to stratify melanoma patients and reliably identify high-risk subgroups with the aim of providing effective personalized therapies. METHODS In our current work, we discuss and assess emerging primary melanoma tumor biomarkers and prognostic circulating biomarkers. RESULTS Several promising biomarkers show prognostic value (eg, exosomal MIA (ie, melanoma inhibitory activity), serum S100B, AMLo signatures, and mRNA signatures); however, the scarcity of reliable data precludes the use of these biomarkers in current clinical applications. CONCLUSION Further research is needed on several promising biomarkers for melanoma. Large-scale studies are warranted to facilitate the clinical translation of prognostic biomarker applications for melanoma in personalized medicine.
Collapse
Affiliation(s)
- Liang Ding
- Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
- Department of Pathology, Buffalo General Medical Center, State University of New York, Buffalo, New York, USA
| | - Alexandra Gosh
- Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
- Department of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Delphine J Lee
- Division of Dermatology, Department of Medicine, Harbor-UCLA Medical Center, Torrance, California, USA
- Division of Dermatology, Department of Medicine, The Lundquist Institute, Torrance, California, USA
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Gabriella Emri
- Department of Dermatology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Wendy J Huss
- Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
- Department of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Paul N Bogner
- Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Gyorgy Paragh
- Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
- Department of Cell Stress Biology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| |
Collapse
|
6
|
Korfiati A, Grafanaki K, Kyriakopoulos GC, Skeparnias I, Georgiou S, Sakellaropoulos G, Stathopoulos C. Revisiting miRNA Association with Melanoma Recurrence and Metastasis from a Machine Learning Point of View. Int J Mol Sci 2022; 23:1299. [PMID: 35163222 PMCID: PMC8836065 DOI: 10.3390/ijms23031299] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 01/20/2022] [Accepted: 01/20/2022] [Indexed: 02/07/2023] Open
Abstract
The diagnostic and prognostic value of miRNAs in cutaneous melanoma (CM) has been broadly studied and supported by advanced bioinformatics tools. From early studies using miRNA arrays with several limitations, to the recent NGS-derived miRNA expression profiles, an accurate diagnostic panel of a comprehensive pre-specified set of miRNAs that could aid timely identification of specific cancer stages is still elusive, mainly because of the heterogeneity of the approaches and the samples. Herein, we summarize the existing studies that report several miRNAs as important diagnostic and prognostic biomarkers in CM. Using publicly available NGS data, we analyzed the correlation of specific miRNA expression profiles with the expression signatures of known gene targets. Combining network analytics with machine learning, we developed specific non-linear classification models that could successfully predict CM recurrence and metastasis, based on two newly identified miRNA signatures. Subsequent unbiased analyses and independent test sets (i.e., a dataset not used for training, as a validation cohort) using our prediction models resulted in 73.85% and 82.09% accuracy in predicting CM recurrence and metastasis, respectively. Overall, our approach combines detailed analysis of miRNA profiles with heuristic optimization and machine learning, which facilitates dimensionality reduction and optimization of the prediction models. Our approach provides an improved prediction strategy that could serve as an auxiliary tool towards precision treatment.
Collapse
Affiliation(s)
- Aigli Korfiati
- Department of Medical Physics, School of Medicine, University of Patras, 26504 Patras, Greece; (A.K.); (G.S.)
| | - Katerina Grafanaki
- Department of Dermatology, School of Medicine, University of Patras, 26504 Patras, Greece;
| | | | - Ilias Skeparnias
- Laboratory of Molecular Biology, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892, USA;
| | - Sophia Georgiou
- Department of Dermatology, School of Medicine, University of Patras, 26504 Patras, Greece;
| | - George Sakellaropoulos
- Department of Medical Physics, School of Medicine, University of Patras, 26504 Patras, Greece; (A.K.); (G.S.)
| | | |
Collapse
|
7
|
Cherepakhin OS, Argenyi ZB, Moshiri AS. Genomic and Transcriptomic Underpinnings of Melanoma Genesis, Progression, and Metastasis. Cancers (Basel) 2021; 14:123. [PMID: 35008286 PMCID: PMC8750021 DOI: 10.3390/cancers14010123] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 12/09/2021] [Accepted: 12/13/2021] [Indexed: 12/13/2022] Open
Abstract
Melanoma is a deadly skin cancer with rapidly increasing incidence worldwide. The discovery of the genetic drivers of melanomagenesis in the last decade has led the World Health Organization to reclassify melanoma subtypes by their molecular pathways rather than traditional clinical and histopathologic features. Despite this significant advance, the genomic and transcriptomic drivers of metastatic progression are less well characterized. This review describes the known molecular pathways of cutaneous and uveal melanoma progression, highlights recently identified pathways and mediators of metastasis, and touches on the influence of the tumor microenvironment on metastatic progression and treatment resistance. While targeted therapies and immune checkpoint blockade have significantly aided in the treatment of advanced disease, acquired drug resistance remains an unfortunately common problem, and there is still a great need to identify potential prognostic markers and novel therapeutic targets to aid in such cases.
Collapse
Affiliation(s)
| | - Zsolt B. Argenyi
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA;
| | - Ata S. Moshiri
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA;
- Division of Dermatology, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| |
Collapse
|
8
|
L Antigen Family Member 3 Serves as a Prognostic Biomarker for the Clinical Outcome and Immune Infiltration in Skin Cutaneous Melanoma. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6648182. [PMID: 33829062 PMCID: PMC8000545 DOI: 10.1155/2021/6648182] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/26/2021] [Accepted: 03/04/2021] [Indexed: 12/31/2022]
Abstract
L Antigen Family Member 3 (LAGE3) is an important RNA modification-related protein. Whereas few studies have interrogated the LAGE3 protein, there is limited data on its role in tumors. Here, we analyzed and profiled the LAGE3 protein in skin cutaneous melanoma (CM) using TCGA, GTEx, or GEO databases. Our data showed an upregulation of LAGE3 in melanoma cell lines compared to normal skin cell lines. Besides, the Kaplan–Meier curves and Cox proportional hazard model revealed that LAGE3 was an independent survival indicator for CM, especially in metastatic CM. Moreover, LAGE3 was negatively associated with multiple immune cell infiltration levels in CM, especially CD8+ T cells in metastatic CM. Taken together, our study suggests that LAGE3 could be a potential prognostic biomarker and might be a potential target for the development of novel CM treatment strategies.
Collapse
|