Development and validation of a clinic machine-learning nomogram for the prediction of risk stratifications of prostate cancer based on functional subsets of peripheral lymphocyte

BACKGROUND: Non-invasive risk stratification contributes to the precise treatment of prostate cancer (PCa). In previous studies, lymphocyte subsets were used to differentiate between low-/intermediate-risk and high-risk PCa, with limited clinical value and poor interpretability. Based on functional...

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Detalles Bibliográficos
Autores principales: Yang, Chunguang, Liu, Zhenghao, Fang, Yin, Cao, Xinyu, Xu, Guoping, Wang, Zhihua, Hu, Zhiquan, Wang, Shaogang, Wu, Xinglong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339548/
https://www.ncbi.nlm.nih.gov/pubmed/37438820
http://dx.doi.org/10.1186/s12967-023-04318-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10339548/
https://www.ncbi.nlm.nih.gov/pubmed/37438820
http://dx.doi.org/10.1186/s12967-023-04318-w

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