Monitoring multiple myeloma by idiotype-specific peptide binders of tumor-derived exosomes.
Monitoring multiple myeloma by idiotype-specific peptide binders of tumor-derived exosomes.
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DOI:
10.1186/s12943-017-0730-8
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发表时间:
2017-10-13
期刊:
影响因子:
37.3
通讯作者:
Scala G
中科院分区:
文献类型:
--
作者:
Iaccino E;Mimmi S;Dattilo V;Marino F;Candeloro P;Di Loria A;Marimpietri D;Pisano A;Albano F;Vecchio E;Ceglia S;Golino G;Lupia A;Fiume G;Quinto I;Scala G
Tumor-derived exosomes (TDEs) play a pivotal role in tumor establishment and progression, and are emerging biomarkers for tumor diagnosis in personalized medicine. To date, there is a lack of efficient technology platforms for exosome isolation and characterization. Multiple myeloma (MM) is an incurable B-cell malignancy due to the rapid development of drug-resistance. MM-released exosomes express the immunoglobulin B-cell receptor (Ig-BCR) of the tumor B-cells, which can be targeted by Idiotype-binding peptides (Id-peptides). In this study, we analyzed the production of MM-released exosomes in the murine 5T33MM multiple myeloma model as biomarkers of tumor growth. To this end, we selected Id-peptides by screening a phage display library using as bait the Ig-BCR expressed by 5T33MM cells. By FACS, the FITC-conjugated Id-peptides detected the MM-released exosomes in the serum of 5T33MM-engrafted mice, levels of which are correlated with tumor progression at an earlier time point compared to serum paraprotein. These results indicate that Id-peptide-based recognition of MM-released exosomes may represent a very sensitive diagnostic approach for clinical evaluation of disease progression. The online version of this article (10.1186/s12943-017-0730-8) contains supplementary material, which is available to authorized users.
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影响因子:
--
作者:
Arita T;Ichikawa D;Konishi H;Komatsu S;Shiozaki A;Ogino S;Fujita Y;Hiramoto H;Hamada J;Shoda K;Kosuga T;Fujiwara H;Okamoto K;Otsuji E
通讯作者:
Otsuji E
DOI:
10.1083/jcb.101.3.942
发表时间:
1985-09
期刊:
The Journal of cell biology
影响因子:
--
作者:
Pan BT;Teng K;Wu C;Adam M;Johnstone RM
通讯作者:
Johnstone RM
影响因子:
4.6
作者:
Muller L;Mitsuhashi M;Simms P;Gooding WE;Whiteside TL
通讯作者:
Whiteside TL
影响因子:
30.3
作者:
Muratori, Claudia;Cavallin, Lucas E.;Baur, Andreas S.
通讯作者:
Baur, Andreas S.
影响因子:
30.5
作者:
Li, Jianhua;Liu, Kuancheng;Yuan, Zhenghong
通讯作者:
Yuan, Zhenghong