Page 15 - 南京医科大学自然版
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第45卷第2期 潘先均,刘 美,李光新,等. SELEX技术筛选乳腺癌亚型组织细胞的DNA适配子[J].
2025年2月 南京医科大学学报(自然科学版),2025,45(2):147-156 ·155 ·
需进一步验证。 2018,10(3):80
综上,本研究初步建立了一种新的细胞⁃SELEX [8] LIU M,YU X C,CHEN Z,et al. Aptamer selection and ap⁃
plications for breast cancer diagnostics and therapy[J]. J
法,用于获取特异性识别 2 种肿瘤细胞亚型的 DNA
适配子;采用这种方法获取的适配子可同时识别2种 Nanobiotechnology,2017,15(1):81
[9] LIU M,WANG Z F,TAN T,et al. An aptamer ⁃ based
肿瘤细胞,可能有利于提高肿瘤诊断、治疗和研究
probe for molecular subtyping of breast cancer[J]. Ther⁃
的效率,以及发现新的肿瘤标志物。有关该方法的
anostics,2018,8(20):5772-5783
潜在推广价值、所获适配子的亲和力测定及其与常 [10]PRAT A,KARGINOVA O,PARKER J S,et al. Character⁃
规细胞⁃SELEX的比较,还需要进一步研究。 ization of cell lines derived from breast cancers and nor⁃
利益冲突声明: mal mammary tissues for the study of the intrinsic molecu⁃
所有作者声明无利益冲突。 lar subtypes[J]. Breast Cancer Res Treat,2013,142(2):
Conflict of Interests: 237-255
All authors declare no conflict of interest. [11]DAI X F,CHENG H Y,BAI Z H,et al. Breast cancer cell
作者贡献声明: line classification and its relevance with breast tumor sub⁃
潘先均负责数据收集、文献查阅、论文初稿撰写;刘美负 typing[J]. J Cancer,2017,8(16):3131-3141
责数据收集、统计分析、文献查阅;李光新负责数据收集、分子 [12]CATUOGNO S,ESPOSITO C L. Aptamer cell⁃based se⁃
病理实验;徐发良负责研究设计、数据解读、论文修改,提供基 lection:overview and advances[J]. Biomedicines,2017,5
金项目支持。 (3):49
Authors Contributions: [13]PANG X H,CUI C,WAN S,et al. Bioapplications of cell⁃
PAN Xianjun was responsible for data collection,literature SELEX⁃generated aptamers in cancer diagnostics,thera⁃
review,and writing the draft of the manuscripts;LIU Mei was peutics,theranostics and biomarker discovery:a compre⁃
responsible for data collection,statistical analysis,and literature hensive review[J]. Cancers,2018,10(2):47
review;LI Guangxin was responsible for data collection and [14]SEFAH K,SHANGGUAN D H,XIONG X L,et al. Devel⁃
molecular pathology experiments;XU Faliang was responsible opment of DNA aptamers using cell⁃SELEX[J]. Nat Pro⁃
for research design,data interpretation,manuscripts revision, toc,2010,5(6):1169-1185
and fund support. [15]XIONG H J,YAN J H,CAI S D,et al. Cancer protein bio⁃
marker discovery based on nucleic acid aptamers[J]. Int
[参考文献]
J Biol Macromol,2019,132:190-202
[1] MOMENIMOVAHED Z,SALEHINIYA H. Epidemiologi⁃ [16]徐发良,周 琦,匡 毅,等. 利用细胞⁃指数式富集的
cal characteristics of and risk factors for breast cancer in 配体系统进化技术筛选肿瘤细胞 DNA 适配子[J]. 上
the world[J]. Breast Cancer,2019,11:151-164 海交通大学学报(医学版),2013,33(12):1684-1688
[2] BRAY F,FERLAY J,SOERJOMATARAM I,et al. Global XU F L,ZHOU Q,KUANG Y,et al. Screening of DNA ap⁃
cancer statistics 2018:GLOBOCAN estimates of inci⁃ tamers for recognizing tumor cells by using cell⁃systematic
dence and mortality worldwide for 36 cancers in 185 coun⁃ evolution of ligands by exponential enrichment[J]. Journal
tries[J]. CA Cancer J Clin,2018,68(6):394-424 of Shanghai Jiao tong University(Medical Science),2013,
[3] CHU P Y,HOU M F,LAI J C,et al. Cell reprogramming 33(12):1684-1688
in tumorigenesis and its therapeutic implications for [17]徐发良,陈小乐. 特异性识别胃癌细胞的 DNA 适配子
breast cancer[J]. Int J Mol Sci,2019,20(8):1827 GCA⁃5及其应用:CN103320445A[P]. 2013⁃09⁃25
[4] ROULOT A,HÉQUET D,GUINEBRETIÈRE J M,et al. XU F L,CHEN X L. DNA aptamer GCA⁃ 5 for specific
Tumoral heterogeneity of breast cancer[J]. Ann Biol recognition of gastric cancer cells and its application:
Clin,2016,74(6):653-660 CN103320445A[P]. 2013⁃09⁃25
[5] YEO S K,GUAN J L. Breast cancer:multiple subtypes [18]邵可可,史新惠,崔蕾蕾,等. 乳液单引物PCR构建随机
within a tumor?[J]. Trends Cancer,2017,3(11):753- ssDNA 文库方法的建立及优化[J]. 临床检验杂志,
760 2016,34(11):823-826
[6] MAIMAITIYIMING Y,HONG D F,YANG C,et al. Novel SHAO K K,SHI X H,CUI L L,et al. Establishment and
insights into the role of aptamers in the fight against can⁃ optimization of emulsion single⁃primer PCR for construct⁃
cer[J]. J Cancer Res Clin Oncol,2019,145(4):797-810 ing random ss DNA library[J]. Chinese Journal of Clini⁃
[7] MORITA Y,LESLIE M,KAMEYAMA H,et al. Aptamer cal Laboratory Science,2016,34(11):823-826
therapeutics in cancer:current and future[J]. Cancers, [19]SHAO K K,DING W F,WANG F,et al. Emulsion PCR:a

