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Tian B, Pang Y, Gao Y, Meng Q, Xin L, Sun C, Tang X, Wang Y, Li Z, Lin H, Wang L. A pan-cancer analysis of the oncogenic role of Golgi transport 1B in human tumors. J Transl Int Med 2023; 11:433-448. [PMID: 38130634 PMCID: PMC10732491 DOI: 10.2478/jtim-2023-0002] [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] [Indexed: 12/23/2023] Open
Abstract
Background Owing to the aggressiveness and treatment-refractory nature of cancer, ideal candidates for early diagnosis and treatment are needed. Golgi transport 1B (GOLT1B) has been associated with cellular malignant behaviors and immune responses in colorectal and lung cancer, but a systematic pan-cancer analysis on GOLT1B has not been conducted. Methods The expression status and clinical association of GOLT1B in The Cancer Genome Atlas (TCGA) were analyzed. Genetic and methylation alterations in GOLT1B were explored. The relationship between GOLT1B and immune cell infiltration was also investigated. Genes related to GOLT1B expression were selected and analyzed. Results GOLT1B was highly expressed in most tumors, and there was a positive correlation between GOLT1B expression and clinical pathological parameters. High expression levels of GOLT1B have been associated with poor prognosis of most cancers. Copy number amplification was the primary type of GOLT1B genetic alterations, which was related to the prognosis of pan-cancer cases. There were different levels of GOLT1B promoter methylation across cancer types. The methylation level of the probe cg07371838 and cg25816357 was closely associated with prognosis in diverse cancers. There was also a positive correlation between GOLT1B genetic alterations and CD4+ T lymphocytes, especially the Th2 subset, as well as between GOLT1B expression and the estimated infiltration value of cancer-associated fibroblasts. Serine/threonine kinase receptor-associated protein (STRAP), integrator complex subunit 13 (INTS13), and ethanolamine kinase 1 (ETNK1) were the most relevant genes for GOLT1B expression, and their interactions with GOLT1B were involved in regulating the transforming growth factor (TGF)-β receptor signaling pathway and epithelial-mesenchymal transition (EMT). Conclusions This pan-cancer analysis provided a comprehensive understanding of the oncogenic role of GOLT1B, highlighting a potential mechanism whereby GOLT1B influences the tumor microenvironment, as well as cancer immunotherapy.
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Affiliation(s)
- Bo Tian
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai200433, China
| | - Yanan Pang
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai200433, China
- Shanghai Institute of Pancreatic Diseases, Shanghai200433, China
| | - Ye Gao
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai200433, China
| | - Qianqian Meng
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai200433, China
| | - Lei Xin
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai200433, China
| | - Chang Sun
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai200433, China
| | - Xin Tang
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai200433, China
| | - Yilin Wang
- Georgetown Preparatory School, North Bethesda20852, MD, USA
| | - Zhaoshen Li
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai200433, China
| | - Han Lin
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai200433, China
| | - Luowei Wang
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai200433, China
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Shivarov V, Blazhev G, Yordanov A. A Novel Two-Gene Expression-Based Prognostic Score in Malignant Pleural Mesothelioma. Diagnostics (Basel) 2023; 13:diagnostics13091556. [PMID: 37174947 PMCID: PMC10177801 DOI: 10.3390/diagnostics13091556] [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: 03/26/2023] [Revised: 04/16/2023] [Accepted: 04/24/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Malignant pleural mesothelioma (MPM) is a rare cancer type with an increasing incidence worldwide. We aimed to develop a rational gene expression-based prognostic score in MPM using publicly available datasets. METHODS We developed and validated a two-gene prognostic score (2-PS) using three independent publicly available gene expression datasets. The 2-PS was built using the Robust Likelihood-Based Survival Modeling with Microarray Data method. RESULTS We narrowed down the model building to the analysis of 179 genes, which have been shown previously to be of importance to MPM development. Our statistical approach showed that a model including two genes (GOLT1B and MAD2L1) was the best predictor for overall survival (OS) (p < 0.0001). The binary score based on the median of the continuous score stratified the patients into low and high score groups and also showed statistical significance in uni- and multivariate models. The 2-PS was validated using two independent transcriptomic datasets. Furthermore, gene set enrichment analysis using training and validation datasets showed that high score patients had distinct gene expression profiles. Our 2-PS also showed a correlation with the estimated infiltration by some immune cell fractions such as CD8+ T cells and M1/2 macrophages. Finally, 2-PS correlated with sensitivity or resistance to some commonly used chemotherapeutic drugs. CONCLUSION This is the first study to demonstrate good performance of only two-gene expression-based prognostic scores in MPM. Our initial approach for features selection allowed for an increased likelihood for the predictive value of the developed score, which we were also able to demonstrate.
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Affiliation(s)
- Velizar Shivarov
- Department of Experimental Research, Medical University Pleven, 5800 Pleven, Bulgaria
| | - Georgi Blazhev
- Department of Genetics, Faculty of Biology, St. Kliment Ohridski Sofia University, 1164 Sofia, Bulgaria
| | - Angel Yordanov
- Department of Gynaecological Oncology, Medical University Pleven, 5800 Pleven, Bulgaria
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Wang Z, Li Y, Yang J, Liang Y, Wang X, Zhang N, Kong X, Chen B, Wang L, Zhao W, Yang Q. Circ-TRIO promotes TNBC progression by regulating the miR-432-5p/CCDC58 axis. Cell Death Dis 2022; 13:776. [PMID: 36075896 PMCID: PMC9458743 DOI: 10.1038/s41419-022-05216-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 08/21/2022] [Accepted: 08/24/2022] [Indexed: 01/21/2023]
Abstract
Numerous studies have shown that circRNAs are aberrantly expressed in various cancers and play a significant role in tumor progression. However, the molecular mechanisms of circRNAs in triple-negative breast cancer (TNBC) remain ambiguous. By intersecting throughput data and qRT-PCR results from tissues and cell lines, circ-TRIO was identified as a potential oncogenic regulator of TNBC. Moreover, circ-TRIO expression was detected in TNBC tissues and was correlated with the recurrence and prognosis of TNBC patients. The circular characteristics of circ-TRIO were verified by RNase R and CHX assays. Functionally, the knockdown of circ-TRIO inhibited the proliferation, migration and invasion of TNBC cells, while the overexpression of circ-TRIO resulted in the opposite impacts. Mechanistically, a dual luciferase reporter assay and RNA immunoprecipitation were performed and indicated that circ-TRIO could combine with miR-432-5p to regulate the expression of coiled-coil domain containing 58 (CCDC58). In summary, our study illustrates that circ-TRIO plays an important role in the progression of TNBC by regulating the miR-432-5p/CCDC58 axis, which could broaden our insight into the underlying mechanisms and provide a novel prognostic marker of TNBC in the clinic.
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Affiliation(s)
- Zekun Wang
- grid.452402.50000 0004 1808 3430Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Yaming Li
- grid.452402.50000 0004 1808 3430Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Jingwen Yang
- grid.452402.50000 0004 1808 3430Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Yiran Liang
- grid.452402.50000 0004 1808 3430Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Xiaolong Wang
- grid.452402.50000 0004 1808 3430Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Ning Zhang
- grid.452402.50000 0004 1808 3430Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Xiaoli Kong
- grid.452402.50000 0004 1808 3430Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Bing Chen
- grid.452402.50000 0004 1808 3430Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, China
| | - Lijuan Wang
- grid.452402.50000 0004 1808 3430Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, China
| | - Wenjing Zhao
- grid.452402.50000 0004 1808 3430Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, China
| | - Qifeng Yang
- grid.452402.50000 0004 1808 3430Department of Breast Surgery, General Surgery, Qilu Hospital of Shandong University, Jinan, China ,grid.452402.50000 0004 1808 3430Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, China ,grid.27255.370000 0004 1761 1174Research Institute of Breast Cancer, Shandong University, Jinan, China
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