EMT circulating tumor cells detected by cell-surface vimentin are associated with prostate cancer progression.
EMT circulating tumor cells detected by cell-surface vimentin are associated with prostate cancer progression.
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细胞表面波形蛋白检测到的 EMT 循环肿瘤细胞与前列腺癌进展相关
DOI:
10.18632/oncotarget.17632
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发表时间:
2017-07-25
期刊:
影响因子:
--
通讯作者:
Li S
中科院分区:
文献类型:
--
作者:
Satelli A;Batth I;Brownlee Z;Mitra A;Zhou S;Noh H;Rojas CR;Li H;Meng QH;Li S
Recent advances in the field of circulating tumor cells (CTC) have shown promise in this liquid biopsy-based prognosis of patient outcome. However, not all of the circulating cells are tumor cells, as evidenced by a lack of tumor-specific markers. The current FDA standard for capturing CTCs (CellSearch) relies on an epithelial marker and cells captured via CellSearch cannot be considered to have undergone EMT. Therefore, it is difficult to ascertain the presence and relevance of any mesenchymal or EMT-like CTCs. To address this gap in technology, we recently discovered the utility of cell-surface vimentin (CSV) as a marker for detecting mesenchymal CTCs from sarcoma, breast, and colon cancer. Here we studied peripheral blood samples of 48 prostate cancer (PCA) patients including hormone sensitive and castration resistant sub-groups. Blood samples were analyzed for three different properties including our own CSV-based CTC enumeration (using 84-1 mAb against CSV), CellSearch-based epithelial CTC counts, and serum prostate-specific antigen (PSA) quantification. Our data demonstrated that in comparison with CellSearch, the CSV-based method had greater sensitivity and specificity. Further, we observed significantly greater numbers of CTCs in castration resistant patients as measured by our CSV method but not CellSearch. Our data suggests CSV-guided CTC enumeration may hold prognostic value and should be further validated as a possible measurement of PCA progression towards the deadly, androgen-independent form.
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影响因子:
158.5
作者:
Cristofanilli, M;Budd, GT;Hayes, DF
通讯作者:
Hayes, DF
影响因子:
9.3
作者:
Satelli A;Brownlee Z;Mitra A;Meng QH;Li S
通讯作者:
Li S
影响因子:
9.3
作者:
Jiang, Yuqiu;Palma, John F.;Gross, Mitchell E.
通讯作者:
Gross, Mitchell E.
影响因子:
50.5
作者:
Grover, P. K.;Cummins, A. G.;Hardingham, J. E.
通讯作者:
Hardingham, J. E.
影响因子:
45.3
作者:
Cohen, Steven J.;Punt, Cornelis J. A.;Meropol, Neal J.
通讯作者:
Meropol, Neal J.