Huang J, et al. Global incidence and mortality of breast cancer: a trend analysis. Aging (Albany NY). 2021;13:5748–803. https://doi.org/10.18632/aging.202502.

Article  PubMed  Google Scholar 

Liang Y, Zhang H, Song X, Yang Q. Metastatic heterogeneity of breast cancer: molecular mechanism and potential therapeutic targets. Semin Cancer Biol. 2020;60:14–27. https://doi.org/10.1016/j.semcancer.2019.08.012.

Article  CAS  PubMed  Google Scholar 

Eugenio DS, et al. Breast cancer features in women under the age of 40 years. Rev Assoc Med Bras. 2016;1992(62):755–61. https://doi.org/10.1590/1806-9282.62.08.755.

Article  Google Scholar 

Cardoso F, et al. Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-updagger. Ann Oncol. 2019;30:1194–220. https://doi.org/10.1093/annonc/mdz173.

Article  CAS  PubMed  Google Scholar 

Tang W, et al. Digital breast tomosynthesis plus mammography, magnetic resonance imaging plus mammography and mammography alone: a comparison of diagnostic performance in symptomatic women. Clin Hemorheol Microcirc. 2017;66:105–16. https://doi.org/10.3233/CH-16242.

Article  PubMed  Google Scholar 

Nunes-Xavier CE, Martin-Perez J, Elson A, Pulido R. Protein tyrosine phosphatases as novel targets in breast cancer therapy. Biochim Biophys Acta. 1836;211–226:2013. https://doi.org/10.1016/j.bbcan.2013.06.001.

Article  CAS  Google Scholar 

Kim M, Baek M, Kim DJ. Protein tyrosine signaling and its potential therapeutic implications in carcinogenesis. Curr Pharm Des. 2017;23:4226–46. https://doi.org/10.2174/1381612823666170616082125.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Dubreuil V, Sap J, Harroch S. Protein tyrosine phosphatase regulation of stem and progenitor cell biology. Semin Cell Dev Biol. 2015;37:82–9. https://doi.org/10.1016/j.semcdb.2014.09.012.

Article  CAS  PubMed  Google Scholar 

Wang S, et al. UCSCXenaShiny: an R/CRAN package for interactive analysis of UCSC Xena data. Bioinformatics. 2022;38:527–9. https://doi.org/10.1093/bioinformatics/btab561.

Article  CAS  PubMed  Google Scholar 

Chandrashekar DS, et al. UALCAN: a portal for facilitating tumor subgroup gene expression and survival analyses. Neoplasia. 2017;19:649–58. https://doi.org/10.1016/j.neo.2017.05.002.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Tang Z, et al. GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 2017;45:W98–102. https://doi.org/10.1093/nar/gkx247.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Goel MK, Khanna P, Kishore J. Understanding survival analysis: Kaplan-Meier estimate. Int J Ayurveda Res. 2010;1:274–8. https://doi.org/10.4103/0974-7788.76794.

Article  PubMed  PubMed Central  Google Scholar 

Modhukur V, et al. MethSurv: a web tool to perform multivariable survival analysis using DNA methylation data. Epigenomics. 2018;10:277–88. https://doi.org/10.2217/epi-2017-0118.

Article  CAS  PubMed  Google Scholar 

Zhang C, et al. SurvivalMeth: a web server to investigate the effect of DNA methylation-related functional elements on prognosis. Brief Bioinform. 2021. https://doi.org/10.1093/bib/bbaa162.

Article  PubMed  PubMed Central  Google Scholar 

Gao J, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013. https://doi.org/10.1126/scisignal.2004088.

Article  PubMed  PubMed Central  Google Scholar 

Szklarczyk D, et al. The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets. Nucleic Acids Res. 2021;49:D605–12. https://doi.org/10.1093/nar/gkaa1074.

Article  CAS  PubMed  Google Scholar 

Warde-Farley D, et al. The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic Acids Res. 2010;38:W214-220. https://doi.org/10.1093/nar/gkq537.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Dennis G Jr, et al. DAVID: database for annotation, visualization, and integrated discovery. Genome Biol. 2003;4:P3.

Article  PubMed  Google Scholar 

Zhou Y, et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun. 2019;10:1523. https://doi.org/10.1038/s41467-019-09234-6.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Han H, et al. TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions. Nucleic Acids Res. 2018;46:D380–6. https://doi.org/10.1093/nar/gkx1013.

Article  CAS  PubMed  Google Scholar 

Li T, et al. TIMER2.0 for analysis of tumor-infiltrating immune cells. Nucleic Acids Res. 2020;48:W509–14. https://doi.org/10.1093/nar/gkaa407.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gray KA, Seal RL, Tweedie S, Wright MW, Bruford EA. A review of the new HGNC gene family resource. Hum Genomics. 2016;10:6. https://doi.org/10.1186/s40246-016-0062-6.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ubhi T, Brown GW. Exploiting DNA replication stress for cancer treatment. Cancer Res. 2019;79:1730–9. https://doi.org/10.1158/0008-5472.CAN-18-3631.

Article  CAS  PubMed  Google Scholar 

Tang M, O’Grady S, Crown J, Duffy MJ. MYC as a therapeutic target for the treatment of triple-negative breast cancer: preclinical investigations with the novel MYC inhibitor, MYCi975. Breast Cancer Res Treat. 2022;195:105–15. https://doi.org/10.1007/s10549-022-06673-6.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Peng D, Fu M, Wang M, Wei Y, Wei X. Targeting TGF-beta signal transduction for fibrosis and cancer therapy. Mol Cancer. 2022;21:104. https://doi.org/10.1186/s12943-022-01569-x.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Miricescu D, et al. PI3K/AKT/mTOR signaling pathway in breast cancer: from molecular landscape to clinical aspects. Int J Mol Sci. 2020. https://doi.org/10.3390/ijms22010173.

Article  PubMed  PubMed Central  Google Scholar 

Chen J, Zhao X, Yuan Y, Jing JJ. The expression patterns and the diagnostic/prognostic roles of PTPN family members in digestive tract cancers. Cancer Cell Int. 2020;20:238. https://doi.org/10.1186/s12935-020-01315-7.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Tonks NK. Protein tyrosine phosphatases: from genes, to function, to disease. Nat Rev Mol Cell Biol. 2006;7:833–46. https://doi.org/10.1038/nrm2039.

Article  CAS  PubMed  Google Scholar 

Sahu R, Pattanayak SP. Strategic developments & future perspective on gene therapy for breast cancer: role of mTOR and Brk/ PTK6 as molecular targets. Curr Gene Ther. 2020;20:237–58. https://doi.org/10.2174/1566523220999200731002408.

Article  CAS  PubMed  Google Scholar 

Akdeniz D, et al. Effects of chemotherapy on contralateral breast cancer risk in BRCA1 and BRCA2 mutation carriers: a nationwide cohort study. Breast. 2022;61:98–107. https://doi.org/10.1016/j.breast.2021.12.007.

Article  PubMed  Google Scholar 

Li Y, et al. Long non-coding RNA UCA1 promotes breast cancer by upregulating PTP1B expression via inhibiting miR-206. Cancer Cell Int. 2019;19:275. https://doi.org/10.1186/s12935-019-0958-z.

Article  PubMed  PubMed Central  Google Scholar 

Yu M, et al. PTP1B markedly promotes breast cancer progression and is regulated by miR-193a-3p. FEBS J. 2019;286:1136–53. https://doi.org/10.1111/febs.14724.

Article  CAS  PubMed  Google Scholar 

Geng Q, Xian R, Yu Y, Chen F, Li R. SHP-1 acts as a tumor suppressor by interacting with EGFR and predicts the prognosis of human breast cancer. Cancer Biol Med. 2021;19:468–85. https://doi.org/10.20892/j.issn.2095-3941.2020.0501.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Yu L, et al. HePTP promotes migration and invasion in triple-negative breast cancer cells via activation of Wnt/beta-catenin signaling. Biomed Pharmacother. 2019;118: 109361. https://doi.org/10.1016/j.biopha.2019.109361.

Article  CAS  PubMed