Cargando…
A Machine Learning Model to Predict the Triple Negative Breast Cancer Immune Subtype
BACKGROUND: Immune checkpoint blockade (ICB) has been approved for the treatment of triple-negative breast cancer (TNBC), since it significantly improved the progression-free survival (PFS). However, only about 10% of TNBC patients could achieve the complete response (CR) to ICB because of the low r...
Autores principales: | Chen, Zihao, Wang, Maoli, De Wilde, Rudy Leon, Feng, Ruifa, Su, Mingqiang, Torres-de la Roche, Luz Angela, Shi, Wenjie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484710/ https://www.ncbi.nlm.nih.gov/pubmed/34603338 http://dx.doi.org/10.3389/fimmu.2021.749459 |
Ejemplares similares
-
Identification of Cancer-Associated Fibroblast Subtype of Triple-Negative Breast Cancer
por: Wang, Maoli, et al.
Publicado: (2022) -
Oxidative stress genes define two subtypes of triple-negative breast cancer with prognostic and therapeutic implications
por: Liu, Shenting, et al.
Publicado: (2023) -
The Association between Obesity and Premenopausal Breast Cancer According to Intrinsic Subtypes – a Systematic Review
por: Torres-de la Roche, Luz Angela, et al.
Publicado: (2020) -
Re: Laparoscopic ovarian transposition and ovariopexy for fertility preservation in patients treated with pelvic radiotherapy with or without chemotherapy
por: Torres-de la Roche, Luz Angela, et al.
Publicado: (2020) -
An Innovative Breast-Conserving Oncoplastic Technique for Treating Small to Medium Volume Breasts With a Tumor in the Lower Quadrant: The Folding Flap Technique
por: Shi, Wenjie, et al.
Publicado: (2022)