Cargando…
Predicting radiotherapy response for patients with soft tissue sarcoma by developing a molecular signature
Soft tissue sarcomas are rare and aggressive tumors arising from connective tissues. Adjuvant radiotherapy is a commonly used treatment approach for the majority of sarcomas. We attempted to identify a gene signature that can predict radiosensitive patients who are most likely to have a better treat...
Autores principales: | Tang, Zaixiang, Zeng, Qinghua, Li, Yan, Zhang, Xinyan, Suto, Mark J., Xu, Bo, Yi, Nengjun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780036/ https://www.ncbi.nlm.nih.gov/pubmed/29048650 http://dx.doi.org/10.3892/or.2017.5999 |
Ejemplares similares
-
Development of a radiosensitivity gene signature for patients with soft tissue sarcoma
por: Tang, Zaixiang, et al.
Publicado: (2017) -
Development and validation of an immune-related gene signature for predicting the radiosensitivity of lower-grade gliomas
por: Yan, Derui, et al.
Publicado: (2022) -
Radiotherapy for Soft Tissue Sarcoma of the Proximal Lower Extremity
por: Prendergast, Brendan, et al.
Publicado: (2010) -
Development and Validation of a Radiosensitivity Prediction Model for Lower Grade Glioma Based on Spike-and-Slab Lasso
por: Du, Zixuan, et al.
Publicado: (2021) -
Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information
por: Tang, Zaixiang, et al.
Publicado: (2019)