The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Esophageal cancer: Risk factors, genetic association, and treatment
Open accessAbstract
The poor prognosis and rising incidence of esophageal cancer highlight the need for improved detection and prediction methods that are essential prior to treatment. Esophageal cancer is one of the most fatal malignancies worldwide, with a dramatic increase in incidence in the Western world occurring over the past few decades. Despite improvements in the management and treatment of esophageal cancer patients, the general outcome remains very poor for overall 5-year survival rates (∼10%) and 5-year postesophagectomy survival rates (∼15-40%). Esophageal cancer is often diagnosed during its advanced stages, the main reason being the lack of early clinical symptoms. In an attempt to improve the outcome of patients after surgery, such patients are often treated with neoadjuvent concurrent chemoradiotherapy (CCRT) in order to decrease tumor size. However, CCRT may enhance toxicity levels and possibly cause a delay in surgery for patients who respond poorly to CCRT. Thus, precise biomarkers that could predict or identify patients who may or may not respond well to CCRT can assist physicians in choosing the appropriate therapy for patients. Identifying susceptible gene and biomarkers can help in predicting the treatment response of patients while improving their survival rates.
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Preoperative Chemoradiotherapy for Esophageal or Junctional Cancer
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Cited by
Esophageal carcinoma: Towards targeted therapies
Fatehi Hassanabad, A., Chehade, R., Breadner, D., & Raphael, J. (2020) · Cellular Oncology · doi:10.1007/s13402-019-00488-2 · Cited by 158
SALL4 in gastrointestinal tract cancers: upstream and downstream regulatory mechanisms
Wang, T., Jin, Y., Wang, M., Chen, B., Sun, J., Zhang, J., Yang, H., Deng, X., Cao, X., Wang, L., et al. (2024) · Molecular Medicine · doi:10.1186/s10020-024-00812-z · Cited by 9
Metadata
- Authors
- Huang, F.-L., & Yu, S.-J.
- Venue
- Asian Journal of Surgery
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 41
- Issue
- 3
- Pages
- 210-215
- ISSN
- 0219-3108 (ISSN-L)
- 1015-9584
- OpenAlex
- W2563470051
- Cited by
- 874
- References
- 51
- FWCI
- 16.60
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
