과제정보
연구 과제 주관 기관 : SNUH
참고문헌
- Randall RL. A promise to our patients with metastatic bone disease. Ann Surg Oncol 2014;21:4049-50. https://doi.org/10.1245/s10434-014-4010-1
- Lipton A, Theriault RL, Hortobagyi GN, et al. Pamidronate prevents skeletal complications and is effective palliative treatment in women with breast carcinoma and osteolytic bone metastases: long term follow-up of two randomized, placebo-controlled trials. Cancer 2000;88:1082-90. https://doi.org/10.1002/(SICI)1097-0142(20000301)88:5<1082::AID-CNCR20>3.0.CO;2-Z
- Mundy GR. Metastasis to bone: causes, consequences and therapeutic opportunities. Nat Rev Cancer 2002;2:584-93. https://doi.org/10.1038/nrc867
- Roodman GD. Mechanisms of bone metastasis. N Engl J Med 2004;350:1655-64. https://doi.org/10.1056/NEJMra030831
- Hernandez RK, Adhia A, Wade SW, et al. Prevalence of bone metastases and bone-targeting agent use among solid tumor patients in the United States. Clin Epidemiol 2015; 7:335-45.
- Ren G, Esposito M, Kang Y. Bone metastasis and the metastatic niche. J Mol Med (Berl) 2015;93:1203-12. https://doi.org/10.1007/s00109-015-1329-4
- Fazilaty H, Mehdipour P. Genetics of breast cancer bone metastasis: a sequential multistep pattern. Clin Exp Metastasis 2014;31:595-612. https://doi.org/10.1007/s10585-014-9642-9
- Suva LJ, Washam C, Nicholas RW, et al. Bone metastasis: mechanisms and therapeutic opportunities. Nat Rev Endocrinol 2011;7:208-18. https://doi.org/10.1038/nrendo.2010.227
- Sturge J, Caley MP, Waxman J. Bone metastasis in prostate cancer: emerging therapeutic strategies. Nat Rev Clin Oncol 2011;8:357-68. https://doi.org/10.1038/nrclinonc.2011.67
- Coleman RE. Bone cancer in 2011: prevention and treatment of bone metastases. Nat Rev Clin Oncol 2011;9:76-8.
- Brook N, Brook E, Dharmarajan A, et al. Breast cancer bone metastases: pathogenesis and therapeutic targets. Int J Biochem Cell Biol 2018;96:63-78. https://doi.org/10.1016/j.biocel.2018.01.003
- Valastyan S, Weinberg RA. Tumor metastasis: molecular insights and evolving paradigms. Cell 2011;147:275-92. https://doi.org/10.1016/j.cell.2011.09.024
- Deo RC. Machine learning in medicine. Circulation 2015; 132:1920-30. https://doi.org/10.1161/CIRCULATIONAHA.115.001593
- Deo RC, Nallamothu BK. Learning about machine learning: the promise and pitfalls of big data and the electronic health record. Circ Cardiovasc Qual Outcomes 2016;9:618-20. https://doi.org/10.1161/CIRCOUTCOMES.116.003308
- Nemzek JA, Hodges AP, He Y. Bayesian network analysis of multi-compartmentalized immune responses in a murine model of sepsis and direct lung injury. BMC Res Notes 2015; 8:516. https://doi.org/10.1186/s13104-015-1488-y
- Yoo C, Ramirez L, Liuzzi J. Big data analysis using modern statistical and machine learning methods in medicine. Int Neurourol J 2014;18:50-7. https://doi.org/10.5213/inj.2014.18.2.50
- Kang Y, Siegel PM, Shu W, et al. A multigenic program mediating breast cancer metastasis to bone. Cancer Cell 2003; 3:537-49. https://doi.org/10.1016/S1535-6108(03)00132-6
- Ottewell PD. The role of osteoblasts in bone metastasis. J Bone Oncol 2016;5:124-7. https://doi.org/10.1016/j.jbo.2016.03.007
- Haider MT, Holen I, Dear TN, et al. Modifying the osteoblastic niche with zoledronic acid in vivo-potential implications for breast cancer bone metastasis. Bone 2014;66:240-50. https://doi.org/10.1016/j.bone.2014.06.023
- Barrett T, Wilhite SE, Ledoux P, et al. NCBI GEO: archive for functional genomics data sets--update. Nucleic Acids Res 2013;41:D991-5.
- Quackenbush J. Microarray data normalization and transformation. Nat Genet 2002;32 Suppl:496-501. https://doi.org/10.1038/ng1032
- Yu J, Smith VA, Wang PP, et al. Advances to Bayesian network inference for generating causal networks from observational biological data. Bioinformatics 2004;20:3594-603. https://doi.org/10.1093/bioinformatics/bth448
- Bielza C, Larranaga P. Bayesian networks in neuroscience: a survey. Front Comput Neurosci 2014;8:131.
- Adabor ES, Acquaah-Mensah GK, Oduro FT. SAGA: a hybrid search algorithm for Bayesian Network structure learning of transcriptional regulatory networks. J Biomed Inform 2015;53:27-35. https://doi.org/10.1016/j.jbi.2014.08.010
- Bindea G, Galon J, Mlecnik B. CluePedia Cytoscape plugin: pathway insights using integrated experimental and in silico data. Bioinformatics 2013;29:661-3. https://doi.org/10.1093/bioinformatics/btt019
- Nishida K, Ono K, Kanaya S, et al. KEGGscape: a cytoscape app for pathway data integration. F1000Res 2014;3:144. https://doi.org/10.12688/f1000research.4524.1
- Agostinho NB, Machado KS, Werhli AV. Inference of regulatory networks with a convergence improved MCMC sampler. BMC Bioinformatics 2015;16:306. https://doi.org/10.1186/s12859-015-0734-6
- Scutari M, Denis JB. Bayesian networks: with examples in R. Boca Raton, FL: CRC Press; 2014.
- Charniak E. Bayesian networks without tears. Al Mag 1991; 12:50-63.
- Kendellen MF, Bradford JW, Lawrence CL, et al. Canonical and non-canonical NF-kappaB signaling promotes breast cancer tumor-initiating cells. Oncogene 2014;33:1297-305. https://doi.org/10.1038/onc.2013.64
- Wang Q, Lu F, Lan R. RNA-sequencing dissects the transcriptome of polyploid cancer cells that are resistant to combined treatments of cisplatin with paclitaxel and docetaxel. Mol Biosyst 2017;13:2125-34. https://doi.org/10.1039/C7MB00334J
- Zhang H, Zhang X, Wu X, et al. Interference of Frizzled 1 (FZD1) reverses multidrug resistance in breast cancer cells through the Wnt/beta-catenin pathway. Cancer Lett 2012; 323:106-13. https://doi.org/10.1016/j.canlet.2012.03.039
- Nakao T, Iwata T, Hotchi M, et al. Prediction of response to preoperative chemoradiotherapy and establishment of individualized therapy in advanced rectal cancer. Oncol Rep 2015;34:1961-7. https://doi.org/10.3892/or.2015.4196
- Jiang M, Zhuang H, Xia R, et al. KIF11 is required for proliferation and self-renewal of docetaxel resistant triple negative breast cancer cells. Oncotarget 2017;8:92106-18.
- Shi Y, Hu W, Yin F, et al. Regulation of drug sensitivity of gastric cancer cells by human calcyclin-binding protein (CacyBP). Gastric Cancer 2004;7:160-6.
- Huth HW, Albarnaz JD, Torres AA, et al. MEK2 controls the activation of MKK3/MKK6-p38 axis involved in the MDA-MB-231 breast cancer cell survival: correlation with cyclin D1 expression. Cell Signal 2016;28:1283-91. https://doi.org/10.1016/j.cellsig.2016.05.009
- Gao S, Ge A, Xu S, et al. PSAT1 is regulated by ATF4 and enhances cell proliferation via the GSK3beta/beta-catenin/cyclin D1 signaling pathway in ER-negative breast cancer. J Exp Clin Cancer Res 2017;36:179. https://doi.org/10.1186/s13046-017-0648-4
- Mukherjee S, Das SK. Translocator protein (TSPO) in breast cancer. Curr Mol Med 2012;12:443-57.
- Yonemori K, Seki N, Kurahara H, et al. ZFP36L2 promotes cancer cell aggressiveness and is regulated by antitumor microRNA-375 in pancreatic ductal adenocarcinoma. Cancer Sci 2017;108:124-35. https://doi.org/10.1111/cas.13119
- Rajski M, Vogel B, Baty F, et al. Global gene expression analysis of the interaction between cancer cells and osteoblasts to predict bone metastasis in breast cancer. PLoS One 2012; 7:e29743. https://doi.org/10.1371/journal.pone.0029743
- Mourskaia AA, Dong Z, Ng S, et al. Transforming growth factor-beta1 is the predominant isoform required for breast cancer cell outgrowth in bone. Oncogene 2009;28:1005-15. https://doi.org/10.1038/onc.2008.454
- Smid M, Wang Y, Zhang Y, et al. Subtypes of breast cancer show preferential site of relapse. Cancer Res 2008;68:3108-14. https://doi.org/10.1158/0008-5472.CAN-07-5644
- Savci-Heijink CD, Halfwerk H, Koster J, et al. A novel gene expression signature for bone metastasis in breast carcinomas. Breast Cancer Res Treat 2016;156:249-59. https://doi.org/10.1007/s10549-016-3741-z
- Yeo SK, French R, Spada F, et al. Opposing roles of Nfkb2 gene products p100 and p52 in the regulation of breast cancer stem cells. Breast Cancer Res Treat 2017;162:465-77. https://doi.org/10.1007/s10549-017-4149-0
- Kim B, Kim HH, Lee ZH. Alpha-tocopheryl succinate inhibits osteolytic bone metastasis of breast cancer by suppressing migration of cancer cells and receptor activator of nuclear factor-kappaB ligand expression of osteoblasts. J Bone Metab 2018;25:23-33. https://doi.org/10.11005/jbm.2018.25.1.23
- Fredericks WJ, McGarvey T, Wang H, et al. The bladder tumor suppressor protein TERE1 (UBIAD1) modulates cell cholesterol: implications for tumor progression. DNA Cell Biol 2011;30:851-64. https://doi.org/10.1089/dna.2011.1315
- Naushad SM, Shree Divyya P, Janaki Ramaiah M, et al. Clinical utility of genetic variants of glutamate carboxypeptidase II in predicting breast cancer and prostate cancer risk. Cancer Genet 2015;208:552-8. https://doi.org/10.1016/j.cancergen.2015.09.001
- Zhang XH, Wang Q, Gerald W, et al. Latent bone metastasis in breast cancer tied to Src-dependent survival signals. Cancer Cell 2009;16:67-78. https://doi.org/10.1016/j.ccr.2009.05.017
- Endo-Munoz L, Cumming A, Sommerville S, et al. Osteosarcoma is characterised by reduced expression of markers of osteoclastogenesis and antigen presentation compared with normal bone. Br J Cancer 2010;103:73-81. https://doi.org/10.1038/sj.bjc.6605723
- Sadikovic B, Yoshimoto M, Chilton-MacNeill S, et al. Identification of interactive networks of gene expression associated with osteosarcoma oncogenesis by integrated molecular profiling. Hum Mol Genet 2009;18:1962-75. https://doi.org/10.1093/hmg/ddp117
- Zhang XH, Wang Q, Gerald W, et al. Latent bone metastasis in breast cancer tied to Src-dependent survival signals. Cancer Cell 2009;16:67-78. https://doi.org/10.1016/j.ccr.2009.05.017
- Xu J, Acharya S, Sahin O, et al. 14-3-3zeta turns TGF-beta's function from tumor suppressor to metastasis promoter in breast cancer by contextual changes of Smad partners from p53 to Gli2. Cancer Cell 2015;27:177-92. https://doi.org/10.1016/j.ccell.2014.11.025
- Mourskaia AA, Amir E, Dong Z, et al. ABCC5 supports osteoclast formation and promotes breast cancer metastasis to bone. Breast Cancer Res 2012;14:R149. https://doi.org/10.1186/bcr3361
- Kimbung S, Kovacs A, Bendahl PO, et al. Claudin-2 is an independent negative prognostic factor in breast cancer and specifically predicts early liver recurrences. Mol Oncol 2014;8:119-28. https://doi.org/10.1016/j.molonc.2013.10.002
피인용 문헌
- The Tristetraprolin Family of RNA-Binding Proteins in Cancer: Progress and Future Prospects vol.12, pp.6, 2018, https://doi.org/10.3390/cancers12061539
- Bayesian networks established functional differences between breast cancer subtypes vol.15, pp.6, 2018, https://doi.org/10.1371/journal.pone.0234752