Mutation load estimation model as a predictor of the response to cancer immunotherapy
Cancer genetics: Predicting patient response to immunotherapy Estimating patients’ mutation load from a small set of genes can accurately predict their response to cancer immunotherapy. Harnessing patients’ immune response to target tumor cells is an effective treatment approach in some cases but no...
Enregistré dans:
Auteurs principaux: | Guan-Yi Lyu, Yu-Hsuan Yeh, Yi-Chen Yeh, Yu-Chao Wang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2018
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/5a1a16e91f2c4ec3a23a2894000b3764 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Estimating the predictive power of silent mutations on cancer classification and prognosis
par: Tal Gutman, et autres
Publié: (2021) -
Cancer associated mutations in Sec61γ alter the permeability of the ER translocase.
par: Christopher M Witham, et autres
Publié: (2021) -
Two oppositely-charged sf3b1 mutations cause defective development, impaired immune response, and aberrant selection of intronic branch sites in Drosophila.
par: Bei Zhang, et autres
Publié: (2021) -
Two oppositely-charged sf3b1 mutations cause defective development, impaired immune response, and aberrant selection of intronic branch sites in Drosophila
par: Bei Zhang, et autres
Publié: (2021) -
The three faces of riboviral spontaneous mutation: spectrum, mode of genome replication, and mutation rate.
par: Libertad García-Villada, et autres
Publié: (2012)