FZR1 as a novel biomarker for breast cancer neoadjuvant chemotherapy prediction.
FZR1 as a novel biomarker for breast cancer neoadjuvant chemotherapy prediction.
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FZR1 作为乳腺癌新辅助化疗预测的新型生物标志物。
DOI:
10.1038/s41419-020-03004-9
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发表时间:
2020-09-25
影响因子:
9
通讯作者:
Yue S
中科院分区:
文献类型:
--
作者:
Liu S;Wang H;Li J;Zhang J;Wu J;Li Y;Piao Y;Pan L;Xiang R;Yue S
The concept of breast-conserving surgery is a remarkable achievement of breast cancer therapy. Neoadjuvant chemotherapy is being used increasingly to shrink the tumor prior to surgery. Neoadjuvant chemotherapy is reducing the tumor size to make the surgery with less damaging to surrounding tissue and downstage locally inoperable disease to operable. However, non-effective neoadjuvant chemotherapy could increase the risks of delaying surgery, develop unresectable disease and metastatic tumor spread. The biomarkers for predicting the neoadjuvant chemotherapy effect are scarce in breast cancer treatment. In this study, we identified that FZR1 can be a novel biomarker for breast cancer neoadjuvant chemotherapy according to clinical patient cohort evaluation and molecular mechanism investigation. Transcriptomic data analysis indicated that the expression of FZR1 is correlated with the effect of neoadjuvant chemotherapy. Mechanistically, we demonstrate that FZR1 is pivotal to the chemotherapy drugs induced apoptosis and cell cycle arrest. FZR1 is involved in the stability of p53 by impairing the phosphorylation at ser15 site. We demonstrate that the expression of FZR1 detected by quantification of IHC can be an effective predictor of neoadjuvant chemotherapy in animal experiment and clinical patient cohort. To obtain more benefit for breast cancer patient, we propose that the FZR1 IHC score using at the clinical to predict the effect of neoadjuvant chemotherapy.
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DOI:
10.1001/jama.2011.593
发表时间:
2011-05-11
期刊:
JAMA
影响因子:
--
作者:
Hatzis C;Pusztai L;Valero V;Booser DJ;Esserman L;Lluch A;Vidaurre T;Holmes F;Souchon E;Wang H;Martin M;Cotrina J;Gomez H;Hubbard R;Chacón JI;Ferrer-Lozano J;Dyer R;Buxton M;Gong Y;Wu Y;Ibrahim N;Andreopoulou E;Ueno NT;Hunt K;Yang W;Nazario A;DeMichele A;O'Shaughnessy J;Hortobagyi GN;Symmans WF
通讯作者:
Symmans WF
影响因子:
64.5
作者:
Bassermann, Florian;Frescas, David;Guardavaccaro, Daniele;Busino, Luca;Peschiaroli, Angelo;Pagano, Michele
通讯作者:
Pagano, Michele
影响因子:
3.8
作者:
Gass P;Lux MP;Rauh C;Hein A;Bani MR;Fiessler C;Hartmann A;Häberle L;Pretscher J;Erber R;Wachter DL;Schulz-Wendtland R;Beckmann MW;Fasching PA;Wunderle M
通讯作者:
Wunderle M
影响因子:
8.8
作者:
Pan, Leiting;Yan, Rui;Xu, Ke
通讯作者:
Xu, Ke
影响因子:
3.7
作者:
Kaufmann, Manfred;von Minckwitz, Gunter;Pusztai, Lajos
通讯作者:
Pusztai, Lajos