ArticleScientific reports2025
Roles of MARCKSL1, MCM6, RFC4, and PLAU genes in esophageal cancer and their association with radiotherapy response.
Article in Scientific reports, 2025. 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.
- Construction and validation of a novel prognostic risk model in cervical cancer: integrating lactylation-related genes linked to radiotherapy‑associated transcriptional changes.Discover oncology · 2026Article
- miR-452-3p Targets Adenomatous Polyposis Coli to Regulate the Malignant Phenotypes and Prognosis of Esophageal Cancer.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026Article
- Multiple roles of replication factor C family in pan‑cancer (Review).Oncology reports · 2025Review
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Authors and funding
7 authors.
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Abstract
Esophageal cancer is a highly lethal malignancy with high incidence and mortality rates, which continue to pose a significant threat to public health worldwide. Despite the adoption of multidisciplinary treatments, improving long-term survival rates remains a major challenge. Therefore, conducting in-depth research into the molecular mechanisms of esophageal cancer, identifying predictive biomarkers, and developing personalized treatment and monitoring strategies are crucial to enhancing clinical outcomes and patient prognosis. This study utilized advanced bioinformatics techniques to construct a gene co-expression network for esophageal cancer and compared it with sequencing data from real-world esophageal cancer samples. This approach successfully identified four key genes closely associated with the progression of esophageal cancer: MARCKSL1, MCM6, RFC4, and PLAU. A risk assessment model based on these genes demonstrated high predictive accuracy, particularly in assessing the risk of early-stage esophageal cancer, highlighting its significant potential for clinical application. Functional validation experiments and clinical data analysis further revealed that these genes play critical roles in esophageal cancer cell metastasis, glycolysis, and response to radiation therapy. These findings provide a new molecular basis for radiotherapy prognosis, helping to formulate more precise radiotherapy protocols and optimize treatment outcomes. Additionally, the regulatory networks of these genes revealed a complex molecular regulatory mechanism, offering new perspectives for precision treatment in esophageal cancer. In summary, these genes not only offer new insights into the early diagnosis and personalized treatment of esophageal cancer but also improve patient prognosis by correlating with radiotherapy response, thus laying a solid scientific foundation for future advancements.
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