CGE_2024v12n2

Cancer Genetics and Epigenetics 2024, Vol.12, No.2, 88-96 http://medscipublisher.com/index.php/cge 96 Nunes S., Moreira-Barbosa C., Salta S., Sousa S., Pousa I., Oliveira J., Soares M., Rego L., Dias T., Rodrigues J., Antunes L., Henrique R., and Jerónimo C., 2018, Cell-Free DNA methylation of selected genes allows for early detection of the major cancers in women, Cancers, 10(10): 357. https://doi.org/10.3390/cancers10100357 Pan Y., Liu G., Zhou F., Su B., and Li Y., 2018, DNA methylation profiles in cancer diagnosis and therapeutics, Clinical and Experimental Medicine, 18: 1-14. https://doi.org/10.1007/s10238-017-0467-0 Radpour R., Kohler C., Haghighi M., Fan A., Holzgreve W., and Zhong X., 2019, Methylation profiles of 22 candidate genes in breast cancer using high-throughput MALDI-TOF mass array, Oncogene, 28: 2969-2978. https://doi.org/10.1038/onc.2009.149 Reed K., Poulin M., Yan L., and Parissenti A., 2010, Comparison of bisulfite sequencing PCR with pyrosequencing for measuring differences in DNA methylation., Analytical Biochemistry, 397(1): 96-106. https://doi.org/10.1016/j.ab.2009.10.021 Roy D., and Tiirikainen M., 2020, Diagnostic power of DNA methylation classifiers for early detection of cancer., Trends in Cancer, 6(2): 78-81. https://doi.org/10.1016/j.trecan.2019.12.006 Shan M., Yin H., Li J., Li X., Wang D., Su Y., Niu M., Zhong Z., Wang J., Zhang X., Kang W., and Pang D., 2016, Detection of aberrant methylation of a six-gene panel in serum DNA for diagnosis of breast cancer, Oncotarget, 7: 18485-18494. https://doi.org/10.18632/oncotarget.7608 Stastny I., Žúbor P., Kajo K., Kubatka P., Golubnitschaja O., and Danková Z., 2020, Aberrantly methylated cfDNA in body fluids as a promising diagnostic tool for early detection of breast cancer, Clinical Breast Cancer, 20(6): e711-e722. https://doi.org/10.1016/j.clbc.2020.05.009 Suijkerbuijk K., Diest P., and Wall E., 2021, Improving early breast cancer detection: focus on methylation., Annals of Oncology: Official Journal of the European Society for Medical Oncology, 22(1): 24-29. https://doi.org/10.1093/annonc/mdq305 Trasierras-Fresco A., Gómez-Martínez H., Andreu Z., Hidalgo M., Gómez-Cabañes B., Gil M., Malmierca-Merlo P., Romera-Giner S., Crespo D., Serna-Blasco R., Romero A., López-Guerrero J., Iglesia-Vayá M., and García-García F., 2023, DNA methylation signatures in breast cancer: a systematic review and meta-analysis, bioRxiv, 2022-10. https://doi.org/10.1101/2022.10.15.512358 Tzanikou E., and Lianidou E., 2020, The potential of ctDNA analysis in breast cancer, Critical Reviews in Clinical Laboratory Sciences, 57: 54-72. https://doi.org/10.1080/10408363.2019.1670615 Wang C., Zhao N., Yuan L., and Liu X., 2020, Computational detection of breast cancer invasiveness with DNA methylation biomarkers, Cells, 9(2): 326. https://doi.org/10.3390/cells9020326 Wang S., Liao L., Ansar M., Lin S., Hsu W., Su C., Chung Y., Liu C., Hung C., and Lin R., 2021, Automatic detection of the circulating cell-free methylated DNA pattern of GCM2 ITPRIPL1 and CCDC181 for detection of early breast cancer and surgical treatment response, Cancers, 13(6): 1375. https://doi.org/10.3390/cancers13061375 Widschwendter M., Evans I., Jones A., Ghazali S., Reisel D., Ryan A., Gentry-Maharaj A., Zikan M., Cibula D., Eichner J., Alunni-Fabbroni M., Koch J., Janni W., Paprotka T., Wittenberger T., Menon U., Wahl B., Rack B., and Lempiainen H., 2017, Methylation patterns in serum DNA for early identification of disseminated breast cancer, Genome Medicine, 9: 1-11. https://doi.org/10.1186/s13073-017-0499-9 Wittenberger T., Sleigh S., Reisel D., Zikan M., Wahl B., Alunni-Fabbroni M., Jones A., Evans I., Koch J., Paprotka T., Lempiainen H., Rujan T., Rack B., Cibula D., and Widschwendter M., 2014, DNA methylation markers for early detection of women's cancer: promise and challenges, Epigenomics, 6(3): 311-27. https://doi.org/10.2217/epi.14.20 Zhang C., Zhao H., Li J., Liu H., Wang F., Wei Y., Su J., Zhang D., Liu T., and Zhang Y., 2015, The Identification of specific methylation patterns across different cancers, PLoS ONE, 10(3): e0120361. https://doi.org/10.1371/journal.pone.0120361 Zhang X., Ye Z., Yin Y., Zeng L., Wang J., Lei S., Bibikova M., Chen Z., Fan J., and Pang D., 2023, Abstract P1-05-11: improving the performance of early breast cancer diagnosis by a model combining breast ultrasound with methylation markers in non-invasive circulating tumor DNA, Cancer Research, 83(5_Supplement): P1-05. https://doi.org/10.1158/1538-7445.SABCS22-P1-05-11

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