Enhanced expression of melanoma progression markers in mouse model of sleep apnea

Perini, Silvana; Martinez, Dênis; Montanari, Carolina Caruccio; Fiori, Cíntia Zappe

doi:10.1016/j.rppnen.2015.11.004

Cited by 9 publications

(5 citation statements)

References 31 publications

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“…The experimental research performed so far linking melanoma and OSA has provided some clues on the potential mechanisms involved (25). In particular, activation of the immune system seems to also boost melanoma progression (26), because Almendros and colleagues (27) showed that IH increased the proliferation of these cells in coculture with macrophages. Furthermore, IH has been widely associated with increased reactive oxygen species production in several tissues.…”

Section: Animal Model Studiesmentioning

confidence: 99%

Cancer and Sleep Apnea: Cutaneous Melanoma as a Case Study

Martínez-García

Campos‐Rodríguez

Almendros

et al. 2019

Am J Respir Crit Care Med

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Section: Animal Model Studiesmentioning

confidence: 99%

Cancer and Sleep Apnea: Cutaneous Melanoma as a Case Study

Martínez-García

Campos‐Rodríguez

Almendros

et al. 2019

Am J Respir Crit Care Med

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“…Studies have confirmed that several tumor aggressiveness markers like PCNA have high expression, providing molecular evidence for the relationship between apnea and cancer. PCNA is a biomarker that identifies the relationship between apnea and cancer [ 32 ]. The results of this study need further experimental verification.…”

Section: Discussionmentioning

confidence: 99%

Identifying Obstructive Sleep Apnea Syndrome-Associated Genes and Pathways through Weighted Gene Coexpression Network Analysis

Zhao

et al. 2022

Computational and Mathematical Methods in Medicine

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Background. Obstructive sleep apnea syndrome (OSAS) is the most common type of sleep apnea disorder. The disease seriously affects the patient’s respiratory system. At present, the prognosis of the disease is poor and there is a lack of effective treatments. Therefore, it is urgent to explore its pathogenesis and treatment methods. Method. We downloaded a set of expression profile data from GSE75097 related to OSAS based on the Gene Expression Omnibus (GEO) database and selected the representative differentially expressed genes (DEGs) from the sample of the GSE75097 dataset. WGCNA was used to find genes related to OSAS and obtain coexpression modules. The Gene Ontology (GO) function and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were used to analyze genes from key modules. Finally, Cytoscape software was used to construct a protein-protein interaction (PPI) network and analyze the hub genes. Result. We obtained a total of 7565 DEGs. Through WGCNA, we got four coexpression modules and the modules most related to OSAS were green-yellow, magenta, purple, and turquoise, and we screened out eight hub genes (DDX46, RNF115, COPA, FBXO4, PA2G4, NHP2L1, CDC20, and PCNA). GO and KEGG analyses indicated that the key modules were mainly enriched in tRNA modification, nucleobase metabolic process, DNA ligation, regulation of cellular component movement, basal transcription factors, Huntington disease, and vitamin digestion and absorption. Conclusion. These pathways and hub genes can facilitate understanding the molecular mechanism of OSAS and provide a meaningful reference for finding biological targets of OSAS treatment.

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“…11,31 However, it has recently been shown that not all tumors within a particular site exhibit similar susceptibility to intermittent hypoxia. 32 Among suggested mechanisms underlying these effects, chronic intermittent hypoxia contributes to the generation of excessive ROS (leading to oxidative stressinduced DNA damage), 33 sustained activation of inflammatory pathways, 34 alterations in the microRNA of circulating exosomes, 35 and overexpression of the transcriptional regulator HIF-1α. 36 Overexpression of HIF-1α upregulates proangiogenic mediators, such as vascular endothelial growth factor (VEGF), and enhanced T-cell-suppressive proteins, 37 thereby resulting in an immunosuppressive tumor environment and subsequent tumor growth.…”

Section: Discussionmentioning

confidence: 99%

Five-year relative survival in sleep apnea patients with a subsequent cancer diagnosis

Sillah

Faria

Watson

et al. 2020

Journal of Clinical Sleep Medicine

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Study Objectives: In vitro and animal studies suggest that intermittent hypoxia characterizing sleep apnea contributes to accelerated cancer progression. However, the impact of sleep apnea on survival subsequent to cancer diagnosis is unknown. Methods: We identified a cohort of 1,575 adults diagnosed with sleep apnea between 2005 and 2014 with a subsequent cancer diagnosis via linkage of the University of Washington Medicine system and a population-based cancer registry serving the same Seattle-Puget Sound region. We computed age-standardized 5-year relative survival after cancer diagnosis for all cancers combined, and for specific cancer sites, for both the sleep apnea cohort and the general Seattle-Puget Sound population, and we used US life tables as the reference population. Relative survival was estimated by sex, cancer stage, and health care engagement. Results: Five-year overall relative survival for cancer was more favorable in the sleep apnea cohort than in the general population [83.6%, 95% confidence interval (CI): 79.8%-86.8% vs 71.6%, 95% CI: 71.3%-71.9%]; this pattern was applicable to most specific cancer sites. However, 5-year relative survival was slightly less favorable in the sleep apnea cohort among patients with melanoma (97.7%, 95% CI: 84.6%-99.7% vs 99.2%, 95% CI: 98.8%-99.5%) and cancer of the corpus uteri (84.0%, 95% CI: 58.2%-94.5% vs 84.6%, 95% CI: 83.1%-86.0%). Conclusions: The fact that survival after cancer, overall and for most cancer sites, was more favorable in patients with sleep apnea warrants larger communitybased studies to further tease out effects of sleep apnea and treatment on site-specific survival for different cancer types, particularly in patients with melanoma or uterine cancer.

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Enhanced expression of melanoma progression markers in mouse model of sleep apnea

Abstract: These findings have potential repercussions in the understanding of differences in clinical course of tumors in obstructive sleep apnea patients. Further investigation is necessary to confirm mechanisms of these descriptive results.

Cited by 9 publications

References 31 publications

Cancer and Sleep Apnea: Cutaneous Melanoma as a Case Study

Cancer and Sleep Apnea: Cutaneous Melanoma as a Case Study

Identifying Obstructive Sleep Apnea Syndrome-Associated Genes and Pathways through Weighted Gene Coexpression Network Analysis

Five-year relative survival in sleep apnea patients with a subsequent cancer diagnosis

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