Resumen
Introducción: Las diferencias biológicas relacionadas con el sexo pueden contribuir a la heterogeneidad molecular del LUAD, incluidas las variaciones en la expresión de miARN.
Objetivo: Identificar miARN asociados al LUAD según el sexo y evaluar su asociación con la supervivencia de los pacientes y las vías biológicas enriquecidas.
Métodos: Se analizaron por separado datos de expresión de miARN y datos clínicos del The Cancer Genome Atlas (TCGA) para hombres y mujeres. Se realizaron análisis de expresión diferencial, supervivencia y enriquecimiento de vías biológicas.
Resultados: Se identificaron 130 miARN diferencialmente expresados en hombres y 208 en mujeres. Dos miARN se asociaron con la supervivencia en el grupo masculino y ocho en el grupo femenino. El análisis de enriquecimiento reveló perfiles funcionales distintos entre ambos grupos.
Conclusión: Estos hallazgos exploratorios indican diferencias relacionadas con el sexo en los patrones de expresión de miARN y en sus asociaciones con la supervivencia y las vías biológicas en el LUAD, proporcionando una base para futuras investigaciones sobre su posible relevancia pronóstica.
Citas
Aparicio-Puerta, E., Hirsch, P., Schmartz, G. P., Kern, F., Fehlmann, T., & Keller, A. (2023). miEAA 2023: Updates, new functional microRNA sets and improved enrichment visualizations. Nucleic Acids Research, 51(W1), W319–W325. https://doi.org/10.1093/nar/gkad392
Caserta, S., Manca, P., Rinaldi, L., Mazzoni, F., De Summa, S., & Tommasi, S. (2023). Gender differences and miRNAs expression in cancer: Implications on prognosis and susceptibility. International Journal of Molecular Sciences, 24(14), 11544. https://doi.org/10.3390/ijms241411544
da Rocha Camargo, B., de Souza, V. D. G. P., Lapa, R. M. L., dos Reis, P. P., & Oliveira, R. A. (2023). A decision tree-based classifier compares three data analysis methods for the identification of miRNAs associated with early-stage lung cancer. Revista Foco, 16(5), e2031. https://doi.org/10.54751/revistafoco.v16n5-084
Fu, Y., Liu, J., Chen, Y., Liu, Z., Xia, H., & Xu, H. (2023). Gender disparities in lung cancer incidence in the United States during 2001–2019. Scientific Reports, 13, 12581. https://doi.org/10.1038/s41598-023-39440-8
Gagolewski, M. (2022). stringi: Fast and portable character string processing in R. Journal of Statistical Software, 103(2), 1–59. https://doi.org/10.18637/jss.v103.i02
Griffiths-Jones, S. (2004). The microRNA registry. Nucleic Acids Research, 32(Suppl. 1), D109–D111. https://doi.org/10.1093/nar/gkh023
Haranguș, A., Munteanu, R., Ciocan-Cârjă, O., Berindan-Neagoe, I., & Braicu, C. (2022). Identification of potential microRNA panels for male non-small cell lung cancer identification using microarray datasets and bioinformatics methods. Journal of Personalized Medicine, 12(12), 2056. https://doi.org/10.3390/jpm12122056
Hayden, M. S., West, A. P., & Ghosh, S. (2006). NF-κB and the immune response. Oncogene, 25(51), 6758–6780. https://doi.org/10.1038/sj.onc.1209943
Imielinski, M., Berger, A. H., Hammerman, P. S., Hernandez, B., Pugh, T. J., Hodis, E., ... Meyerson, M. (2012). Mapping the hallmarks of lung adenocarcinoma with massively parallel sequencing. Cell, 150(6), 1107–1120. https://doi.org/10.1016/j.cell.2012.08.029
Iozzo, R. V., & Sanderson, R. D. (2011). Proteoglycans in cancer biology, tumour microenvironment and angiogenesis. Journal of Cellular and Molecular Medicine, 15(5), 1013–1031. https://doi.org/10.1111/j.1582-4934.2010.01236.x
Jansson, M. D., & Lund, A. H. (2012). MicroRNA and cancer. Molecular Oncology, 6(6), 590–610. https://doi.org/10.1016/j.molonc.2012.09.006
Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481. https://doi.org/10.1080/01621459.1958.10501452
Kassambara, A., Kosinski, M., & Biecek, P. (2021). survminer: Drawing survival curves using “ggplot2” (R package version 0.4.9). https://CRAN.R-project.org/package=survminer
Li, X., Wei, S., Deng, L., Tao, H., Liu, M., Zhao, Z., Du, X., Li, Y., & Hou, J. (2023). Sex-biased molecular differences in lung adenocarcinoma are ethnic and smoking specific. BMC Pulmonary Medicine, 23, 99. https://doi.org/10.1186/s12890-023-02387-7
Liu, Q., Wang, Y., Duan, M., Fan, Y., Pan, X., Liu, S., Yu, Q., Huang, L., & Zhou, F. (2021). Females and males show differences in early-stage transcriptomic biomarkers of lung adenocarcinoma and lung squamous cell carcinoma. Diagnostics, 11(2), 347. https://doi.org/10.3390/diagnostics11020347
Lopes-Ramos, C. M., Quackenbush, J., & DeMeo, D. L. (2020). Genome-wide sex and gender differences in cancer. Frontiers in Oncology, 10, 597788. https://doi.org/10.3389/fonc.2020.597788
Mantel, N. (1966). Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemotherapy Reports, 50(3), 163–170.
May, L., Bonomi, M., Fidler, M. J., Borgia, J. A., & Bonomi, P. (2023). Sex differences in lung cancer. Cancers, 15(12), 3111. https://doi.org/10.3390/cancers15123111
Myers, D. J., & Wallen, J. M. (2022). Lung adenocarcinoma. In StatPearls. StatPearls Publishing. https://www.ncbi.nlm.nih.gov/books/NBK519578/
Patel, D., McElroy, J. P., Weng, D. Y., Sahar, K., Reisinger, S. A., Freudenheim, J. L., Wewers, M. D., Shields, P. G., & Song, M.-A. (2024). Sex-related DNA methylation is associated with inflammation and gene expression in the lungs of healthy individuals. Scientific Reports, 14, 14280. https://doi.org/10.1038/s41598-024-65027-y
Pezzuto, A., & Carico, E. (2018). Role of HIF-1 in cancer progression: Novel insights. A review. Current Molecular Medicine, 18(6), 343–351. https://doi.org/10.2174/1566524018666181109121849
Poleri, C. (2022). Sex-based differences in lung cancer: Does it matter? Journal of Thoracic Oncology, 17(5), 599–601. https://doi.org/10.1016/j.jtho.2022.03.002
Provenzano, P. P., & Keely, P. J. (2009). The role of focal adhesion kinase in tumor initiation and progression. Cell Adhesion & Migration, 3(4), 347–350. https://doi.org/10.4161/cam.3.4.9458
Qin, T., & Zhang, G. (2025). The role of miR-21 in early-stage lung adenocarcinoma: Clinical and bioinformatics insights. Scientific Reports, 15, 37903. https://doi.org/10.1038/s41598-025-21742-8
Ragavan, M., & Patel, M. I. (2022). The evolving landscape of sex-based differences in lung cancer: A distinct disease in women. European Respiratory Review, 31(163), 210100. https://doi.org/10.1183/16000617.0100-2021
Saha, E., Ben Guebila, M., Fanfani, V., Fischer, J., Shutta, K. H., Mandros, P., DeMeo, D. L., Quackenbush, J., & Lopes-Ramos, C. M. (2024). Gene regulatory networks reveal sex difference in lung adenocarcinoma. Biology of Sex Differences, 15, 62. https://doi.org/10.1186/s13293-024-00634-y
Stabellini, N., Bruno, D. S., Gubens, M. A., Padda, S. K., & Bunn, P. A. (2022). Sex differences in lung cancer treatment and outcomes at a large hybrid academic-community practice. JTO Clinical and Research Reports, 3(4), 100307. https://doi.org/10.1016/j.jtocrr.2022.100307
Tang, J., Li, X., Cheng, T., & Wu, J. (2021). miR-21-5p/SMAD7 axis promotes the progress of lung cancer. Thoracic Cancer, 12(17), 2307–2313. https://doi.org/10.1111/1759-7714.14060
Teo, J.-L., & Kahn, M. (2010). The Wnt signaling pathway in cellular proliferation and differentiation: A tale of two coactivators. Advanced Drug Delivery Reviews, 62(12), 1149–1155. https://doi.org/10.1016/j.addr.2010.09.012
The Cancer Genome Atlas. (2018). Genomic Data Commons Data Portal. https://portal.gdc.cancer.gov/
Therneau, T. M. (2022). A package for survival analysis in R (R package version 3.4-0). https://CRAN.R-project.org/package=survival
Wei, D., Yu, G., & Zhao, Y. (2019). MicroRNA-30a-3p inhibits the progression of lung cancer via the PI3K/AKT by targeting DNA methyltransferase 3a. OncoTargets and Therapy, 12, 7015–7024. https://doi.org/10.2147/OTT.S213583
Weisstein, E. W. (2004). Bonferroni correction. Wolfram MathWorld. https://mathworld.wolfram.com/BonferroniCorrection.html
Wickham, H. (2009). ggplot2: Elegant graphics for data analysis. Springer. https://doi.org/10.1007/978-0-387-98141-3
Xie, K., Chen, M., Wang, C., Yu, D., Lu, Y., Wang, C., ... Shen, H. (2015). A functional variant in miR-155 regulation region contributes to lung cancer risk and survival. Oncotarget, 6(40), 42781–42792. https://doi.org/10.18632/oncotarget.5840
Yanaihara, N., Caplen, N., Bowman, E., Seike, M., Kumamoto, K., Yi, M., ... Harris, C. C. (2006). Unique microRNA molecular profiles in lung cancer diagnosis and prognosis. Cancer Cell, 9(3), 189–198. https://doi.org/10.1016/j.ccr.2006.01.025
Zappa, C., & Mousa, S. A. (2016). Non-small cell lung cancer: Current treatment and future advances. Translational Lung Cancer Research, 5(3), 288–300. https://doi.org/10.21037/tlcr.2016.06.07
Zhang, J.-G., Wang, J.-J., Zhao, F., Liu, Q., Jiang, K., & Yang, G.-H. (2010). MicroRNA-21 (miR-21) represses tumor suppressor PTEN and promotes growth and invasion in non-small cell lung cancer (NSCLC). Clinica Chimica Acta, 411(11–12), 846–852. https://doi.org/10.1016/j.cca.2010.02.074

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Derechos de autor 2026 Bethina da Rocha Camargo, Bruna Caroline Silva Previato, Felipe de Almeida Camargo (Autor); Carlo Antônio de Freitas Lüders (Tradutor); Vanessa das Graças Pereira de Souza, Patricia Pintor dos Reis, Rogerio Antonio de Oliveira (Autor)
