Research graph
References from Three-pathway hallmark-based risk score for survival stratification in patients with esophageal squamous cell carcinoma: A public-database computational study. Local targets link to admitted publications; unresolved targets remain external evidence.
The global landscape of esophageal squamous cell carcinoma and esophageal adenocarcinoma incidence and mortality in 2020 and projections to 2040: new estimates from GLOBOCAN 2020
10.1053/j.gastro.2022.05.054 · 2022 · External reference
Oesophageal cancer
10.1016/s0140-6736(17)31462-9 · 2017 · External reference
The clinical application and advancement of robot-assisted McKeown minimally invasive esophagectomy for esophageal cancer
10.1016/j.lers.2023.12.003 · 2024 · External reference
8th edition AJCC/UICC staging of cancers of the esophagus and esophagogastric junction: application to clinical practice
10.21037/acs.2017.03.14 · 2017 · External reference
Oesophageal cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up
10.1093/annonc/mdw329 · 2016 · External reference
Comprehensive genomic and transcriptomic analyses reveal prognostic stratification for esophageal squamous cell carcinoma
10.1038/s41392-025-02306-8 · 2025 · External reference
The Molecular Signatures Database Hallmark gene set collection
10.1016/j.cels.2015.12.004 · 2015 · External reference
Incorporating pathway information into feature selection towards better performed gene signatures
10.1155/2019/2497509 · 2019 · External reference
Multi-omics approaches including single-cell analysis and machine learning were used to identify the roles of telomere-related genes in esophageal squamous cell carcinoma
2025 · External reference
The integrated molecular and histological analysis defines subtypes of esophageal squamous cell carcinoma
10.1038/s41467-024-53164-x · 2024 · External reference
Integrated analysis of public datasets for the discovery and validation of survival-associated genes in solid tumors
2024 · External reference
Systematic comparison and assessment of RNA-seq procedures for gene expression quantitative analysis
10.1038/s41598-020-76881-x · 2020 · External reference
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
10.7326/m14-0697 · 2015 · External reference
Kaplan-Meier survival curves and the log-rank test
2012 · External reference
Prediction models need appropriate internal, internal-external, and external validation
10.1016/j.jclinepi.2015.04.005 · 2016 · External reference
Pathway-guided architectures for interpretable AI in biological research
10.1016/j.csbj.2025.10.063 · 2025 · External reference
A gene set enrichment analysis for cancer hallmarks
10.1016/j.jpha.2024.101065 · 2025 · External reference
Integrated genomic characterization of oesophageal carcinoma
10.1038/nature20805 · 2017 · External reference
Predictive modelling using pathway scores: robustness and significance of pathway collections
10.1186/s12859-019-3163-0 · 2019 · External reference
Tackling the widespread and critical impact of batch effects in high-throughput data
10.1038/nrg2825 · 2010 · External reference
REporting recommendations for tumor MARKer prognostic studies (REMARK)
10.1093/jnci/dji237 · 2005 · External reference
Hallmarks of cancer: new dimensions
10.1158/2159-8290.cd-21-1059 · 2022 · External reference
Reactive oxygen species signaling and oxidative stress: transcriptional regulation and evolution
10.3390/antiox13030312 · 2024 · External reference
The p53 network: cellular and systemic DNA damage responses in cancer and aging
10.1016/j.tig.2022.02.010 · 2022 · External reference
Current insights and future perspectives of ultraviolet radiation (UV) exposure: friends and foes to the skin and beyond the skin
10.1016/j.envint.2024.108535 · 2024 · External reference
Molecular signatures database (MSigDB) 3.0
10.1093/bioinformatics/btr260 · 2011 · External reference
Use of archived specimens in evaluation of prognostic and predictive biomarkers
10.1093/jnci/djp335 · 2009 · External reference
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models
10.1016/j.jbi.2020.103496 · 2020 · External reference
Methods to analyze time-to-event data: the Cox regression analysis
10.1155/2021/1302811 · 2021 · External reference
Minimum sample size for developing a multivariable prediction model: part II - binary and time-to-event outcomes
10.1002/sim.7992 · 2019 · External reference
Quantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model
10.1002/sim.6986 · 2016 · External reference
Decision curve analysis: a novel method for evaluating prediction models
10.1177/0272989x06295361 · 2006 · External reference
Prognostic value of an immunohistochemical signature in patients with esophageal squamous cell carcinoma undergoing radical esophagectomy
10.1002/1878-0261.12158 · 2018 · External reference
Dichotomizing continuous predictors in multiple regression: a bad idea
10.1002/sim.2331 · 2006 · External reference
Assessing reproducibility and veracity across machine learning techniques in biomedicine: a case study using TCGA data
10.1016/j.ijmedinf.2020.104148 · 2020 · External reference
Perioperative events influence cancer recurrence risk after surgery
10.1038/nrclinonc.2017.194 · 2018 · External reference
Interpreting incremental value of markers added to risk prediction models
10.1093/aje/kws207 · 2012 · External reference
Esophageal and esophagogastric junction cancers, version 2.2019, NCCN Clinical Practice Guidelines in Oncology
10.6004/jnccn.2019.0033 · 2019 · External reference
Is a subgroup effect believable? Updating criteria to evaluate the credibility of subgroup analyses
10.1136/bmj.c117 · 2010 · External reference
How to interpret subgroup analyses from prospective randomized clinical trials: what clinicians need to know
10.1016/j.eururo.2025.06.015 · 2026 · External reference
Development and validation of a novel prognostic model for patients with surgically resected esophageal squamous cell carcinoma
2022 · External reference
Subgroup analyses in randomized trials: risks of subgroup-specific analyses
10.1016/j.jclinepi.2003.08.009 · 2004 · External reference
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): explanation and elaboration
10.7326/m14-0698 · 2015 · External reference
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
2016 · External reference
Development and validation of a prognostic model for patients with cT1-4N1-3M1 esophageal squamous cell carcinoma: based on the SEER database and the Chinese cohort study
2025 · External reference
Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes
10.1016/j.ccell.2022.07.006 · 2022 · External reference
Endoscopic submucosal dissection versus endoscopic mucosal resection for early esophageal neoplasia: a systematic review and meta-analysis
10.1016/j.lers.2025.09.004 · 2025 · External reference
The invisible bridge: how harmonization closes the gap between impossible standardization and clinical necessity
10.1016/j.cca.2025.120516 · 2026 · External reference
