ArticleWorld journal of clinical cases2022
Integrative analysis of platelet-related genes for the prognosis of esophageal cancer.
Article in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Identification and validation of NEIL2 as a prognostic biomarker and potential therapeutic target in cervical cancer.Discover oncology · 2025Article
- A novel risk model consisting of nine platelet-related gene signatures for predicting prognosis, immune features and drug sensitivity in glioma.Hereditas · 2024Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvery year, esophageal cancer is responsible for 509000 deaths and around 572000 new cases worldwide. Although esophageal cancer treatment options have advanced, patients still have a dismal 5-year survival rate.
aimTo investigate the relationship between genes associated to platelets and the prognosis of esophageal cancer.
methodsWe searched differentially expressed genes for changes between 151 tumor tissues and 653 normal, healthy tissues using the "limma" package. To develop a prediction model of platelet-related genes, a univariate Cox regression analysis and least absolute shrinkage and selection operator Cox regression analysis were carried out. Based on a median risk score, patients were divided into high-risk and low-risk categories. A nomogram was created to predict the 1-, 2-, and 3-year overall survival (OS) of esophageal cancer patients using four platelet-related gene signatures, TNM stages, and pathological type. Additionally, the concordance index, receiver operating characteristic curve, and calibration curve were used to validate the nomogram.
resultsThe prognosis of esophageal cancer was associated to
conclusionA survival risk score model and independent prognostic variables for esophageal cancer have been developed using
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