Cargando…

Integrative Histology-Genomic Analysis Predicts Hepatocellular Carcinoma Prognosis Using Deep Learning

Cancer prognosis analysis is of essential interest in clinical practice. In order to explore the prognostic power of computational histopathology and genomics, this paper constructs a multi-modality prognostic model for survival prediction. We collected 346 patients diagnosed with hepatocellular car...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hou, Jiaxin, Jia, Xiaoqi, Xie, Yaoqin, Qin, Wenjian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601633/ https://www.ncbi.nlm.nih.gov/pubmed/36292654 http://dx.doi.org/10.3390/genes13101770

Ejemplares similares

Deep learning for evaluation of microvascular invasion in hepatocellular carcinoma from tumor areas of histology images
por: Chen, Qiaofeng, et al.
Publicado: (2022)

An Adaptive Transfer-Learning-Based Deep Cox Neural Network for Hepatocellular Carcinoma Prognosis Prediction
por: Chai, Hua, et al.
Publicado: (2021)

Deep Learning of Liver Contrast-Enhanced Ultrasound to Predict Microvascular Invasion and Prognosis in Hepatocellular Carcinoma
por: Zhang, Yafang, et al.
Publicado: (2022)

Histologic Assessment of Intratumoral Lymphoplasmacytic Infiltration Is Useful in Predicting Prognosis of Patients with Hepatocellular Carcinoma
por: Hayashi, Akimasa, et al.
Publicado: (2016)

Clinical Interpretability of Deep Learning for Predicting Microvascular Invasion in Hepatocellular Carcinoma by Using Attention Mechanism
por: You, Huayu, et al.
Publicado: (2023)

Histological diagnosis of polyploidy discriminates an aggressive subset of hepatocellular carcinomas with poor prognosis
por: Matsuura, Takanori, et al.
Publicado: (2023)

Deep learning models for histologic grading of breast cancer and association with disease prognosis
por: Jaroensri, Ronnachai, et al.
Publicado: (2022)

The association between genomic variations and histological grade in hepatocellular carcinoma
por: Liu, Jun, et al.
Publicado: (2020)

Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals
por: Liu, Shu-Cheng, et al.
Publicado: (2021)

A shape-optimized framework for kidney segmentation in ultrasound images using NLTV denoising and DRLSE
por: Yang, Fan, et al.
Publicado: (2012)

A Novel Multimodal Radiomics Model for Predicting Prognosis of Resected Hepatocellular Carcinoma
por: He, Ying, et al.
Publicado: (2022)

ASPP2 expression predicts the prognosis of patients with hepatocellular carcinoma after transcatheter arterial chemoembolization
por: Mao, Jiaren, et al.
Publicado: (2021)

Stanniocalcin 2 expression predicts poor prognosis of hepatocellular carcinoma
por: ZHANG, ZHEN-HAI, et al.
Publicado: (2014)

Integrated Genomic and Transcriptomic Analysis reveals key genes for predicting dual-phenotype Hepatocellular Carcinoma Prognosis
por: Wang, Yaobang, et al.
Publicado: (2021)

The Application of Deep Learning in Cancer Prognosis Prediction
por: Zhu, Wan, et al.
Publicado: (2020)

Preoperative Prediction of Cytokeratin 19 Expression for Hepatocellular Carcinoma with Deep Learning Radiomics Based on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging
por: Chen, Yuying, et al.
Publicado: (2021)

An anoikis-based signature for predicting prognosis in hepatocellular carcinoma with machine learning
por: Guizhen, Zhang, et al.
Publicado: (2023)

Mucoid breast carcinomas: histology and prognosis.
por: Fentiman, I. S., et al.
Publicado: (1997)

Deep Learning for Lung Cancer Diagnosis, Prognosis and Prediction Using Histological and Cytological Images: A Systematic Review
por: Davri, Athena, et al.
Publicado: (2023)

Predicting the Initial Treatment Response to Transarterial Chemoembolization in Intermediate-Stage Hepatocellular Carcinoma by the Integration of Radiomics and Deep Learning
por: Peng, Jie, et al.
Publicado: (2021)

Exploring pathological signatures for predicting the recurrence of early-stage hepatocellular carcinoma based on deep learning
por: Qu, Wei-Feng, et al.
Publicado: (2022)

Genomic Aberrations in the HTPAP Promoter Affect Tumor Metastasis and Clinical Prognosis of Hepatocellular Carcinoma
por: Wu, Jin-Cai, et al.
Publicado: (2014)

Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued
por: Li, Song, et al.
Publicado: (2023)

Genomic and oncogenic preference of HBV integration in hepatocellular carcinoma
por: Zhao, Ling-Hao, et al.
Publicado: (2016)

An Integrating Immune-Related Signature to Improve Prognosis of Hepatocellular Carcinoma
por: Zhu, Rui, et al.
Publicado: (2020)

Precise localization of microvascular invasion in hepatocellular carcinoma based on three-dimensional histology-MR image fusion: an ex vivo experimental study
por: Li, Liujun, et al.
Publicado: (2023)

Ferroportin in the progression and prognosis of hepatocellular carcinoma
por: Wang, Qin, et al.
Publicado: (2013)

Histological architectural classification determines recurrence pattern and prognosis after curative hepatectomy in patients with hepatocellular carcinoma
por: Okabe, Hirohisa, et al.
Publicado: (2018)

Advances in Histological and Molecular Classification of Hepatocellular Carcinoma
por: Choi, Joon Hyuk, et al.
Publicado: (2023)

DeepHBV: a deep learning model to predict hepatitis B virus (HBV) integration sites
por: Wu, Canbiao, et al.
Publicado: (2021)

Genetic testing and prognosis of sarcomatoid hepatocellular carcinoma patients
por: Jia, Bin, et al.
Publicado: (2023)

A genomic enhancer signature associates with hepatocellular carcinoma prognosis
por: Jeon, Ah-Jung, et al.
Publicado: (2023)

Prognosis and personalized medicine prediction by integrated whole exome and transcriptome sequencing of hepatocellular carcinoma
por: Li, Debao, et al.
Publicado: (2023)

Upregulation of microRNA-25 associates with prognosis in hepatocellular carcinoma
por: Su, Zhong-xue, et al.
Publicado: (2014)

Deep learning can predict survival directly from histology in clear cell renal cell carcinoma
por: Wessels, Frederik, et al.
Publicado: (2022)

Deep Learning With Sampling in Colon Cancer Histology
por: Shapcott, Mary, et al.
Publicado: (2019)

Erratum: Genomic and oncogenic preference of HBV integration in hepatocellular carcinoma
por: Zhao, Ling-Hao, et al.
Publicado: (2016)

Integration of Inflammation-Immune Factors to Build Prognostic Model Predictive of Prognosis and Minimal Residual Disease for Hepatocellular Carcinoma
por: Xu, Xin, et al.
Publicado: (2022)

Ubiquitin-proteasome system-based signature to predict the prognosis and drug sensitivity of hepatocellular carcinoma
por: Zhang, Jianxiang, et al.
Publicado: (2023)

Long Noncoding RNA FOXP4-AS1 Predicts Unfavourable Prognosis and Regulates Proliferation and Invasion in Hepatocellular Carcinoma
por: Liang, Jingchen, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_e8i38u6i4fao4tj4bs90769geq