Baseline soluble MICA levels act as a predictive biomarker for the efficacy of regorafenib treatment in colorectal cancer.
Baseline soluble MICA levels act as a predictive biomarker for the efficacy of regorafenib treatment in colorectal cancer.
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DOI:
10.1186/s12885-022-09512-5
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发表时间:
2022-04-20
期刊:
影响因子:
3.8
通讯作者:
Yoshida, Hitoshi
中科院分区:
文献类型:
--
作者:
Arai, Jun;Otoyama, Yumi;Fujita, Ken-ichi;Goto, Kaku;Tojo, Masayuki;Katagiri, Atsushi;Nozawa, Hisako;Kubota, Yutaro;Takahashi, Takehiro;Ishida, Hiroo;Tsunoda, Takuya;Matsumoto, Natsumi;Ogawa, Keita;Nakagawa, Ryo;Muroyama, Ryosuke;Kato, Naoya;Yoshida, Hitoshi
To evaluate the effect of regorafenib on soluble MHC class I polypeptide-related sequence A (MICA) (sMICA) level in vitro. In addition, we clinically examined whether its plasma levels were associated with regorafenib activity in terms of progression-free survival (PFS) in patients with CRC. Human CRC cell line HCT116 and HT29 cells were treated with regorafenib and its pharmacologically active metabolites, M2 or M5 at the same concentrations as those in sera of patients. We also examined the sMICA levels and the area under the plasma concentration–time curve of regorafenib, M2 and M5. Regorafenib, M2, and M5 significantly suppressed shedding of MICA in human CRC cells without toxicity. This resulted in the reduced production of sMICA. In the clinical examination, patients with CRC who showed long median PFS (3.7 months) had significantly lower sMICA levels than those with shorter median PFS (1.2 months) (p = 0.045). MICA is an attractive agent for manipulating the immunological control of CRC and baseline sMICA levels could be a predictive biomarker for the efficacy of regorafenib treatment.
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DOI:
10.1007/s00262-020-02660-2
发表时间:
2021-01
期刊:
Cancer immunology, immunotherapy : CII
影响因子:
--
作者:
Arai J;Goto K;Otoyama Y;Nakajima Y;Sugiura I;Kajiwara A;Tojo M;Ichikawa Y;Uozumi S;Shimozuma Y;Uchikoshi M;Sakaki M;Nozawa H;Nakagawa R;Muroyama R;Kato N;Yoshida H
通讯作者:
Yoshida H
影响因子:
6.4
作者:
Wilhelm, Scott M.;Dumas, Jacques;Zopf, Dieter
通讯作者:
Zopf, Dieter
影响因子:
56.9
作者:
Bauer, S;Groh, V;Spies, T
通讯作者:
Spies, T
影响因子:
168.9
作者:
Bruix, Jordi;Qin, Shukui;Han, Guohong
通讯作者:
Han, Guohong
影响因子:
25.7
作者:
Jinushi, M;Takehara, T;Hayashi, N
通讯作者:
Hayashi, N