SynthesisOncotarget2017
Prognostic gene expression profiling in esophageal cancer: a systematic review.
Synthesis in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Systematic Review and Meta-analysis of the Most Common Genetic Mutations in Esophageal Squamous Cell Carcinoma.Journal of gastrointestinal cancer · 2022Pooled it
- Proteomic Analysis of TCGA Data Reveals Limited Prognostic Value of p53 but Suggests BAX as a Potential Survival Marker in Cervical Carcinoma.International journal of molecular sciences · 2026Article
- The trio of Candida albicans, immune cells, and cancer progression: a complex interplay driving tumorigenesis.Medical oncology (Northwood, London, England) · 2025Review
- Prognostic markers in oesophageal and gastric cancer review. Are they ready for clinical practice?ESMO gastrointestinal oncology · 2024Review
- Research advances of MAL family members in tumorigenesis and tumor progression (Review).Molecular medicine reports · 2024Review
- Molecular mechanism detection of stage I to stage II transition of esophageal squamous cell carcinoma: a system biology approach.Gastroenterology and hepatology from bed to bench · 2024Article
- Kruppel-like factor 13 acts as a tumor suppressor in thyroid carcinoma by downregulating IFIT1.Biology direct · 2023Article
- Algorithmically Reconstructed Molecular Pathways as the New Generation of Prognostic Molecular Biomarkers in Human Solid Cancers.Proteomes · 2023Article
- Impact of radiogenomics in esophageal cancer on clinical outcomes: A pilot study.World journal of gastroenterology · 2021Article
- New Trends in Esophageal Cancer Management.Cancers · 2021Article
- The MAL Protein, an Integral Component of Specialized Membranes, in Normal Cells and Cancer.Cells · 2021Review
- Integrative Analysis of Histopathological Images and Genomic Data in Colon Adenocarcinoma.Frontiers in oncology · 2021Article
- Transcriptomic and microRNA Expression Profiles Identify Biomarkers for Predicting Neo-Chemoradiotherapy Response in Esophageal Squamous Cell Carcinomas (ESCC).Frontiers in pharmacology · 2021Article
- Reactive Oxygen Species-Mediated Autophagy by Ursolic Acid Inhibits Growth and Metastasis of Esophageal Cancer Cells.International journal of molecular sciences · 2020Article
- The prognostic value of a seven-lncRNA signature in patients with esophageal squamous cell carcinoma: a lncRNA expression analysis.Journal of translational medicine · 2020Article
- Targeting deubiquitinating enzyme USP26 by microRNA-203 regulates Snail1's pro-metastatic functions in esophageal cancer.Cancer cell international · 2020Article
- Article
- A world map of esophagus cancer research: a critical accounting.Journal of translational medicine · 2019Article
- Prognostic alternative splicing signatures and underlying regulatory network in esophageal carcinoma.American journal of translational research · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIndividual variability in prognosis of esophageal cancer highlights the need for advances in personalized therapy. This systematic review aimed at elucidating the prognostic role of gene expression profiles and at identifying gene signatures to predict clinical outcome.
methodsA systematic search of the Medline, Embase and the Cochrane library databases (2000-2015) was performed. Articles associating gene expression profiles in patients with esophageal adenocarcinoma or squamous cell carcinoma to survival, response to chemo(radio)therapy and/or lymph node metastasis were identified. Differentially expressed genes and gene signatures were extracted from each study and combined to construct a list of prognostic genes per outcome and histological tumor type.
resultsThis review includes a total of 22 studies. Gene expression profiles were related to survival in 9 studies, to response to chemo(radio)therapy in 7 studies, and to lymph node metastasis in 9 studies. The studies proposed many differentially expressed genes. However, the findings were heterogeneous and only 12 (ALDH1A3, ATR, BIN1, CSPG2, DOK1, IFIT1, IFIT3, MAL, PCP4, PHB, SPP1) of the 1.112 reported genes were identified in more than 1 study. Overall, 16 studies reported a prognostic gene signature, which was externally validated in 10 studies.
conclusionThis systematic review shows heterogeneous findings in associating gene expression with clinical outcome in esophageal cancer. Larger validated studies employing RNA next-generation sequencing are required to establish gene expression profiles to predict clinical outcome and to select optimal personalized therapy.
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