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For: Cappelletti V, Iorio E, Miodini P, Silvestri M, Dugo M, Daidone MG. Metabolic Footprints and Molecular Subtypes in Breast Cancer. Dis Markers 2017;2017:7687851. [PMID: 29434411 DOI: 10.1155/2017/7687851] [Cited by in Crossref: 26] [Cited by in F6Publishing: 23] [Article Influence: 5.2] [Reference Citation Analysis]
Number Citing Articles
1 Zhang D, Xu X, Ye Q. Metabolism and immunity in breast cancer. Front Med 2021;15:178-207. [PMID: 33074528 DOI: 10.1007/s11684-020-0793-6] [Reference Citation Analysis]
2 Leeuwenburgh VC, Urzúa-Traslaviña CG, Bhattacharya A, Walvoort MTC, Jalving M, de Jong S, Fehrmann RSN. Robust metabolic transcriptional components in 34,494 patient-derived cancer-related samples and cell lines. Cancer Metab 2021;9:35. [PMID: 34565468 DOI: 10.1186/s40170-021-00272-7] [Reference Citation Analysis]
3 Alfonso-Pérez T, Baonza G, Martin-Belmonte F. Breast cancer has a new metabolic Achilles' heel. Nat Metab 2021;3:590-2. [PMID: 34031588 DOI: 10.1038/s42255-021-00394-8] [Reference Citation Analysis]
4 Yang HY, Wang YC, Peng HY, Huang CH. Breath biopsy of breast cancer using sensor array signals and machine learning analysis. Sci Rep 2021;11:103. [PMID: 33420275 DOI: 10.1038/s41598-020-80570-0] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Zong L, Cheng G, Liu S, Pi Z, Liu Z, Song F. Reversal of multidrug resistance in breast cancer cells by a combination of ursolic acid with doxorubicin. Journal of Pharmaceutical and Biomedical Analysis 2019;165:268-75. [DOI: 10.1016/j.jpba.2018.11.057] [Cited by in Crossref: 19] [Cited by in F6Publishing: 17] [Article Influence: 6.3] [Reference Citation Analysis]
6 Mendis AS, Thabrew I, Ediriweera MK, Samarakoon SR, Tennekoon KH, Adhikari A, de Silva ED. Isolation of a New Sesquiterpene Lactone From Vernonia Zeylanica (L) Less and its Anti-Proliferative Effects in Breast Cancer Cell Lines. ACAMC 2019;19:410-24. [DOI: 10.2174/1871520619666181128163359] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
7 Kim BH, Cho MJ, Kwon J. Potential intrinsic subtype dependence on the association between metformin use and survival in surgically resected breast cancer: a Korean national population-based study. Int J Clin Oncol 2021. [PMID: 34374879 DOI: 10.1007/s10147-021-02005-8] [Reference Citation Analysis]
8 Khatib TZ, Martin KR. Neuroprotection in Glaucoma: Towards Clinical Trials and Precision Medicine. Curr Eye Res 2020;45:327-38. [PMID: 31475591 DOI: 10.1080/02713683.2019.1663385] [Cited by in Crossref: 13] [Cited by in F6Publishing: 15] [Article Influence: 4.3] [Reference Citation Analysis]
9 Fan S, Shahid M, Jin P, Asher A, Kim J. Identification of Metabolic Alterations in Breast Cancer Using Mass Spectrometry-Based Metabolomic Analysis. Metabolites 2020;10:E170. [PMID: 32344578 DOI: 10.3390/metabo10040170] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Chen Z, Li Z, Li H, Jiang Y. Metabolomics: a promising diagnostic and therapeutic implement for breast cancer. Onco Targets Ther 2019;12:6797-811. [PMID: 31686838 DOI: 10.2147/OTT.S215628] [Cited by in Crossref: 9] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
11 Holloway RW, Marignani PA. Targeting mTOR and Glycolysis in HER2-Positive Breast Cancer. Cancers (Basel) 2021;13:2922. [PMID: 34208071 DOI: 10.3390/cancers13122922] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
12 Ibrahem SQ, Ahmed HQ, Amin KM. Genetic Variations in Cytochrome P450 1A1 and 1B1 Genes in a Cohort of Patients from Iraq Diagnosed with Breast Cancer. Breast Cancer (Auckl) 2021;15:11782234211050727. [PMID: 34671182 DOI: 10.1177/11782234211050727] [Reference Citation Analysis]
13 Gallagher FA, Woitek R, McLean MA, Gill AB, Manzano Garcia R, Provenzano E, Riemer F, Kaggie J, Chhabra A, Ursprung S, Grist JT, Daniels CJ, Zaccagna F, Laurent MC, Locke M, Hilborne S, Frary A, Torheim T, Boursnell C, Schiller A, Patterson I, Slough R, Carmo B, Kane J, Biggs H, Harrison E, Deen SS, Patterson A, Lanz T, Kingsbury Z, Ross M, Basu B, Baird R, Lomas DJ, Sala E, Wason J, Rueda OM, Chin SF, Wilkinson IB, Graves MJ, Abraham JE, Gilbert FJ, Caldas C, Brindle KM. Imaging breast cancer using hyperpolarized carbon-13 MRI. Proc Natl Acad Sci U S A 2020;117:2092-8. [PMID: 31964840 DOI: 10.1073/pnas.1913841117] [Cited by in Crossref: 57] [Cited by in F6Publishing: 45] [Article Influence: 28.5] [Reference Citation Analysis]
14 Montrose DC, Galluzzi L. Drugging cancer metabolism: Expectations vs. reality. Int Rev Cell Mol Biol 2019;347:1-26. [PMID: 31451211 DOI: 10.1016/bs.ircmb.2019.07.007] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 3.7] [Reference Citation Analysis]
15 Eiriksson FF, Nøhr MK, Costa M, Bödvarsdottir SK, Ögmundsdottir HM, Thorsteinsdottir M. Lipidomic study of cell lines reveals differences between breast cancer subtypes. PLoS One 2020;15:e0231289. [PMID: 32287294 DOI: 10.1371/journal.pone.0231289] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
16 Wahdan-Alaswad RS, Edgerton SM, Salem HS, Thor AD. Metformin Targets Glucose Metabolism in Triple Negative Breast Cancer. J Oncol Transl Res 2018;4:129. [PMID: 29780974 DOI: 10.4172/2476-2261.1000129] [Cited by in Crossref: 8] [Cited by in F6Publishing: 13] [Article Influence: 2.0] [Reference Citation Analysis]
17 Yadav S, Virk R, Chung CH, Eduardo MB, VanDerway D, Chen D, Burdett K, Gao H, Zeng Z, Ranjan M, Cottone G, Xuei X, Chandrasekaran S, Backman V, Chatterton R, Khan SA, Clare SE. Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer. NPJ Breast Cancer 2022;8:59. [PMID: 35508495 DOI: 10.1038/s41523-022-00422-0] [Reference Citation Analysis]
18 Silva C, Perestrelo R, Silva P, Tomás H, Câmara JS. Breast Cancer Metabolomics: From Analytical Platforms to Multivariate Data Analysis. A Review. Metabolites 2019;9:E102. [PMID: 31121909 DOI: 10.3390/metabo9050102] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 5.7] [Reference Citation Analysis]
19 Díaz-Beltrán L, González-Olmedo C, Luque-Caro N, Díaz C, Martín-Blázquez A, Fernández-Navarro M, Ortega-Granados AL, Gálvez-Montosa F, Vicente F, Pérez Del Palacio J, Sánchez-Rovira P. Human Plasma Metabolomics for Biomarker Discovery: Targeting the Molecular Subtypes in Breast Cancer. Cancers (Basel) 2021;13:E147. [PMID: 33466323 DOI: 10.3390/cancers13010147] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
20 Varghese E, Samuel SM, Líšková A, Samec M, Kubatka P, Büsselberg D. Targeting Glucose Metabolism to Overcome Resistance to Anticancer Chemotherapy in Breast Cancer. Cancers (Basel) 2020;12:E2252. [PMID: 32806533 DOI: 10.3390/cancers12082252] [Cited by in Crossref: 20] [Cited by in F6Publishing: 24] [Article Influence: 10.0] [Reference Citation Analysis]
21 Ghergurovich JM, Lang JD, Levin MK, Briones N, Facista SJ, Mueller C, Cowan AJ, McBride MJ, Rodriguez ESR, Killian A, Dao T, Lamont J, Barron A, Su X, Hendricks WPD, Espina V, Von Hoff DD, O'Shaughnessy J, Rabinowitz JD. Local production of lactate, ribose phosphate, and amino acids within human triple-negative breast cancer. Med (N Y) 2021;2:736-54. [PMID: 34223403 DOI: 10.1016/j.medj.2021.03.009] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
22 Monferrer E, Vieco-Martí I, López-Carrasco A, Fariñas F, Abanades S, de la Cruz-Merino L, Noguera R, Álvaro Naranjo T. Metabolic Classification and Intervention Opportunities for Tumor Energy Dysfunction. Metabolites 2021;11:264. [PMID: 33922558 DOI: 10.3390/metabo11050264] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
23 Jusino S, Fernández-Padín FM, Saavedra HI. Centrosome aberrations and chromosome instability contribute to tumorigenesis and intra-tumor heterogeneity. J Cancer Metastasis Treat 2018;4:43. [PMID: 30381801 DOI: 10.20517/2394-4722.2018.24] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
24 Feng X, Zhang R, Liu M, Liu Q, Li F, Yan Z, Zhou F. An accurate regression of developmental stages for breast cancer based on transcriptomic biomarkers. Biomark Med 2019;13:5-15. [PMID: 30484698 DOI: 10.2217/bmm-2018-0305] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]