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               ·1752 ·                           南 京    医 科 大 学 学         报                        2021年12月


              OS 的关系,提示了它们可能在乳腺癌进展中的作                                MultiContrast Delayed Enhancement(MCODE)improves
              用,可能是致密型乳腺癌潜在的诊断和预后生物                                  detection of subendocardial myocardial infarction by late
              标志物,但后续仍需要进一步实验证实。                                     gadolinium enhancement cardiovascular magnetic reso⁃
                                                                     nance:a clinical validation study[J]. J Cardiovasc Magne
             [参考文献]
                                                                     Reson,2012,14(1):83
             [1] SIEGEL R L,MILLER K D,JEMAL A. Cancer statistics,  [14] JÉZÉQUEL P,CAMPONE M,GOURAUD W,et al. bc⁃
                   2020[J]. CA,2020,70(1):7-30                       GenExMiner:an easy ⁃ to ⁃ use online platform for gene
             [2] YAFFE M J. Mammographic density. Measurement of     prognostic analyses in breast cancer[J]. Breast Cancer
                   mammographic density[J]. BCR,2008,10(3):209       Res Treat,2012,131(3):765-775
             [3] PETTERSSON A,GRAFF R E,URSIN G,et al. Mammo⁃   [15] JÉZÉQUEL P,FRÉNEL J S,CAMPION L,et al. bc ⁃
                   graphic density phenotypes and risk of breast cancer:a  GenExMiner 3.0:new mining module computes breast
                   meta ⁃ analysis[J]. J Nat Cancer Inst,2014,106(5):  cancer gene expression correlation analyses[J]. Data⁃
                   dju078                                            base,2013,2013:bas060
             [4] BOYD N F,DITE G S,STONE J,et al. Heritability of  [16] TICE J A,CUMMINGS S R,SMITH⁃BINDMAN R,et al.
                   mammographic density,a risk factor for breast cancer[J].  Using clinical factors and mammographic breast density
                   N Engl J Med,2002,347(12):886-894                 to estimate breast cancer risk:development and valida⁃
             [5] MCCORMACK V A,DOS SANTOS SILVA I. Breast den⁃       tion of a new predictive model[J]. Ann Intern Med,2008,
                   sity and parenchymal patterns as markers of breast cancer  148(5):337-347
                   risk:a meta ⁃ analysis[J]. Cancer Epidemiol Biomarkers  [17] CHIU S Y,DUFFY S,YEN A M,et al. Effect of baseline
                   Prev,2006,15(6):1159-1169                         breast density on breast cancer incidence,stage,mortali⁃
             [6] DEFILIPPIS R A,FORDYCE C,PATTEN K,et al. Stress     ty,and screening parameters:25⁃year follow⁃up of a Swed⁃
                   signaling from human mammary epithelial cells contrib⁃  ish mammographic screening[J]. Cancer Epidemiol Bio⁃
                   utes to phenotypes of mammographic density[J]. Cancer  markers Prev,2010,19(5):1219-1228
                   Res,2014,74(18):5032-5044                    [18] BAGLIETTO L,KRISHNAN K,STONE J,et al. Associa⁃
             [7] 史 维 俊 ,李 欣 灿 ,陆       飞 ,等. 长 链 非 编 码 RNA           tions of mammographic dense and nondense areas and
                   MIR4713HG 调节结直肠癌进展及预后的生物信息学                       body mass index with risk of breast cancer[J]. Am J Epi⁃
                   分析[J]. 南京医科大学学报(自然科学版),2020,40                    demiol,2014,179(4):475-483
                  (8):1149-1155                                 [19] HEUSINGER K,LOEHBERG C R,HAEBERLE L,et al.
             [8] 张舒婷,刁鹏飞,金致纯,等. 基于TCGA数据库分析IT⁃                       Mammographic density as a risk factor for breast cancer
                   GA5 mRNA在头颈部鳞状细胞癌中的表达及其预后价                        in a German case⁃control study[J]. Eur J Cancer Prev,
                   值[J]. 南京医科大学学报(自然科学版),2020,40(6):                 2011,20(1):1-8
                   832-838                                      [20] YAGHJYAN L,COLDITZ G A,COLLINS L C,et al. Mam⁃
             [9] BARRETT T,WILHITE S E,LEDOUX P,et al. NCBI          mographic breast density and subsequent risk of breast
                   GEO:archive for functional genomics data sets⁃⁃update  cancer in postmenopausal women according to tumor char⁃
                  [J]. Nucleic Acids Res,2013,41(Database issue):    acteristics[J]. J Natl Cancer Inst,2011,103(15):1179-
                   D991-D995                                         1189
             [10] HUANG D W,SHERMAN B T,TAN Q,et al. DAVID Bio⁃  [21] BERTRAND K A,SCOTT C G,TAMIMI R M,et al.
                   informatics resources:expanded annotation database and  Dense and nondense mammographic area and risk of
                   novel algorithms to better extract biology from large gene  breast cancer by age and tumor characteristics[J]. Can⁃
                   lists[J]. Nucleic Acids Res,2007,35(Web Server is⁃  cer Epidemiol Biomarkers Prev,2015,24(5):798-809
                   sue):W169-W175                               [22] PATTERSON S K,ROUBIDOUX M A. Update on new
             [11] SZKLARCZYK D,FRANCESCHINI A,WYDER S,et al.         technologies in digital mammography[J]. Int J Womens
                   STRING v10:protein⁃protein interaction networks,inte⁃  Health,2014,6:781-788
                   grated over the tree of life[J]. Nucleic Acids Res,2015,  [23] VACEK P M,GELLER B M. A prospective study of breast
                   43(Database issue):D447-D452                      cancer risk using routine mammographic breast density
             [12] SMOOT M E,ONO K,RUSCHEINSKI J,et al. Cytoscape     measurements[J]. Cancer Epidemiol Biomarkers Prev,
                   2.8:new features for data integration and network visual⁃  2004,13(5):715-722
                   ization[J]. Bioinformatics,2011,27(3):431-432  [24] SCHLESSINGER J. Receptor tyrosine kinases:legacy of
             [13] BANDETTINI W P,KELLMAN P,MANCINI C,et al.                                   (下转第1773页)
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