Page 46 - 南京医科大学学报自然科学版
P. 46
第41卷第12期
·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)