Cargando…

Machine Learning for Endometrial Cancer Prediction and Prognostication

Endometrial cancer (EC) is a prevalent uterine cancer that remains a major contributor to cancer-associated morbidity and mortality. EC diagnosed at advanced stages shows a poor therapeutic response. The clinically utilized EC diagnostic approaches are costly, time-consuming, and are not readily ava...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bhardwaj, Vipul, Sharma, Arundhiti, Parambath, Snijesh Valiya, Gul, Ijaz, Zhang, Xi, Lobie, Peter E., Qin, Peiwu, Pandey, Vijay
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Oncology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365068/ https://www.ncbi.nlm.nih.gov/pubmed/35965548 http://dx.doi.org/10.3389/fonc.2022.852746

Ejemplares similares

An Applicable Machine Learning Model Based on Preoperative Examinations Predicts Histology, Stage, and Grade for Endometrial Cancer
por: Feng, Ying, et al.
Publicado: (2022)

A novel machine learning-based programmed cell death-related clinical diagnostic and prognostic model associated with immune infiltration in endometrial cancer
por: Xiong, Jian, et al.
Publicado: (2023)

Machine learning-based neddylation landscape indicates different prognosis and immune microenvironment in endometrial cancer
por: Li, Yi, et al.
Publicado: (2023)

Current and Emerging Prognostic Biomarkers in Endometrial Cancer
por: Njoku, Kelechi, et al.
Publicado: (2022)

Inhibition of BAD-Ser99 phosphorylation synergizes with PARP inhibition to ablate PTEN-deficient endometrial carcinoma
por: Zhang, Xi, et al.
Publicado: (2022)

Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
por: Parmar, Chintan, et al.
Publicado: (2015)

A prognostic system for epithelial ovarian carcinomas using machine learning
por: Grimley, Philip M., et al.
Publicado: (2021)

Incremental value of radiomics with machine learning to the existing prognostic models for predicting outcome in renal cell carcinoma
por: Xing, Jiajun, et al.
Publicado: (2023)

ARTEMIN Promotes Oncogenicity and Resistance to 5-Fluorouracil in Colorectal Carcinoma by p44/42 MAPK Dependent Expression of CDH2
por: Zhuang, Qiu-Shi, et al.
Publicado: (2021)

Machine-learning based investigation of prognostic indicators for oncological outcome of pancreatic ductal adenocarcinoma
por: Chang, Jeremy, et al.
Publicado: (2022)

Cyclooxygenase-2 and β-Catenin as Potential Diagnostic and Prognostic Markers in Endometrial Cancer
por: Deng, Lin, et al.
Publicado: (2020)

The Prognostic Value of Retroperitoneal Lymphadenectomy in Apparent Stage IA Endometrial Endometrioid Cancer
por: Liu, Zhao, et al.
Publicado: (2021)

Is preoperative ultrasound tumor size a prognostic factor in endometrial carcinoma patients?
por: Ambrosio, Marco, et al.
Publicado: (2022)

Using preoperative control nutritional status scores as prognostic factors for endometrial cancer
por: Yuan, Jing, et al.
Publicado: (2023)

Prognostic stratification of endometrial cancers with high microsatellite instability or no specific molecular profile
por: Gonzalez-Bosquet, Jesus, et al.
Publicado: (2023)

Current Prognostic and Predictive Biomarkers for Endometrial Cancer in Clinical Practice: Recommendations/Proposal from the Italian Study Group
por: Zannoni, Gian Franco, et al.
Publicado: (2022)

Predicting recurrence and metastasis risk of endometrial carcinoma via prognostic signatures identified from multi-omics data
por: Li, Ling, et al.
Publicado: (2022)

A machine learning-based model for predicting distant metastasis in patients with rectal cancer
por: Qiu, Binxu, et al.
Publicado: (2023)

A Novel Prognostic Scoring System of Intrahepatic Cholangiocarcinoma With Machine Learning Basing on Real-World Data
por: Li, Zhizhen, et al.
Publicado: (2021)

Development and Validation of a Machine Learning Prognostic Model for Hepatocellular Carcinoma Recurrence After Surgical Resection
por: Huang, Yao, et al.
Publicado: (2021)

Prognostic and Clinical Significance of Cyclooxygenase-2 Overexpression in Endometrial Cancer: A Meta-Analysis
por: Li, Mingli, et al.
Publicado: (2020)

Prognostic and Clinicopathological Role of PD-L1 in Endometrial Cancer: A Meta-Analysis
por: Lu, Ling, et al.
Publicado: (2020)

Corrigendum: Cyclooxygenase-2 and β-Catenin as Potential Diagnostic and Prognostic Markers in Endometrial Cancer
por: Deng, Lin, et al.
Publicado: (2020)

The Clinicopathological Significance and Prognostic Value of Androgen Receptor in Endometrial Carcinoma: A Meta-Analysis
por: Wu, Xirong, et al.
Publicado: (2022)

An Efficacious Endometrial Sampler for Screening Endometrial Cancer
por: Han, Lu, et al.
Publicado: (2019)

Predictors of Effect of Atypical Antipsychotics on Speech
por: Sinha, Preeti, et al.
Publicado: (2015)

Identification of the mitophagy-related diagnostic biomarkers in hepatocellular carcinoma based on machine learning algorithm and construction of prognostic model
por: Tu, Dao-yuan, et al.
Publicado: (2023)

Application of machine learning techniques in real-world research to predict the risk of liver metastasis in rectal cancer
por: Qiu, Binxu, et al.
Publicado: (2022)

RPP40 is a prognostic biomarker and correlated with tumor microenvironment in uterine corpus endometrial carcinoma
por: Tang, Jianming, et al.
Publicado: (2022)

Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy
por: Isaksson, Lars J., et al.
Publicado: (2020)

Machine Learning-Based Models Enhance the Prediction of Prostate Cancer
por: Chen, Sunmeng, et al.
Publicado: (2022)

Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies
por: Xue, Liang, et al.
Publicado: (2020)

Using Machine Learning Modeling to Explore New Immune-Related Prognostic Markers in Non-Small Cell Lung Cancer
por: Xu, Jiasheng, et al.
Publicado: (2020)

Machine learning for lymph node metastasis prediction of in patients with gastric cancer: A systematic review and meta-analysis
por: Li, Yilin, et al.
Publicado: (2022)

Diagnostic and Prognostic Values of Serum EpCAM, TGM2, and HE4 Levels in Endometrial Cancer
por: Lan, Ting, et al.
Publicado: (2020)

Prognostic and Clinicopathological Significance of Hypoxia-Inducible Factor-1α in Endometrial Cancer: A Meta-Analysis
por: Zhu, Ping, et al.
Publicado: (2020)

Mechanical Stimulus-Related Risk Signature Plays a Key Role in the Prognostic Nomogram For Endometrial Cancer
por: Xu, Xin, et al.
Publicado: (2021)

A prognostic model and immune regulation analysis of uterine corpus endometrial carcinoma based on cellular senescence
por: Gao, Lulu, et al.
Publicado: (2022)

Endometrial cancer diagnostic and prognostic algorithms based on proteomics, metabolomics, and clinical data: a systematic review
por: Romano, Andrea, et al.
Publicado: (2023)

Pan-cancer analysis identifies LIFR as a prognostic and immunological biomarker for uterine corpus endometrial carcinoma
por: Zhang, Fang, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_bd1fj9d0j75nh2n46e0fdhd392