Genes and Pathways Involved in the Progression of Malignant Pleural Mesothelioma: A Meta-analysis of Genome-Wide Expression Studies-Reference-Cited by-同舟云学术

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Genes and Pathways Involved in the Progression of Malignant Pleural Mesothelioma: A Meta-analysis of Genome-Wide Expression Studies

Published:2023-06-22 Issue: Volume: Page:
ISSN:0006-2928
Container-title:Biochemical Genetics
language:en
Short-container-title:Biochem Genet

Author:

Mejia-Garcia Alejandro,Bonilla Diego A.,Ramirez Claudia M.,Escobar-Díaz Fabio A.,Combita Alba Lucia,Forero Diego A.,Orozco Carlos

Funder

Fundación Universitaria del Area Andina

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Molecular Biology,General Medicine,Ecology, Evolution, Behavior and Systematics,Biochemistry

Link

https://link.springer.com/content/pdf/10.1007/s10528-023-10426-5.pdf

Reference55 articles.

1. Alabiad MA, Harb OA, Hefzi N, Ahmed RZ, Osman G, Shalaby AM, Alnemr AA, Saraya YS (2021) Prognostic and clinicopathological significance of TMEFF2, SMOC-2, and SOX17 expression in endometrial carcinoma. Exp Mol Pathol 122:104670. https://doi.org/10.1016/j.yexmp.2021.104670

2. Beebe-Dimmer JL, Fryzek JP, Yee CL, Dalvi TB, Garabrant DH, Schwartz AG, Gadgeel S (2016) Mesothelioma in the United States: a surveillance, epidemiology, and end results (SEER)-medicare investigation of treatment patterns and overall survival. Clin Epidemiol. 8:743–750. https://doi.org/10.2147/clep.S105396

3. Binder JX, Pletscher-Frankild S, Tsafou K, Stolte C, O’Donoghue SI, Schneider R, Jensen LJ (2014) COMPARTMENTS: unification and visualization of protein subcellular localization evidence. Database 2014:012. https://doi.org/10.1093/database/bau012

4. Blum Y, Meiller C, Quetel L, Elarouci N, Ayadi M, Tashtanbaeva D, Armenoult L, Montagne F, Tranchant R, Renier A (2019) Dissecting heterogeneity in malignant pleural mesothelioma through histo-molecular gradients for clinical applications. Nat Commun 10:1–12. https://doi.org/10.1038/s41467-019-09307-6

5. Bonilla DA, Moreno Y, Petro JL, Forero DA, Vargas-Molina S, Odriozola-Martínez A, Orozco CA, Stout JR, Rawson ES, Kreider RB (2022) A bioinformatics-assisted review on iron metabolism and immune system to identify potential biomarkers of exercise stress-induced immunosuppression. Biomedicines. https://doi.org/10.3390/biomedicines10030724

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