The DOI matches its Crossref record; 138 of the 138 references it cites were found in a registry or an index.
Gastric cancer
Abstract
Gastric cancer is the fifth most common cancer and the third most common cause of cancer death globally. Risk factors for the condition include Helicobacter pylori infection, age, high salt intake, and diets low in fruit and vegetables. Gastric cancer is diagnosed histologically after endoscopic biopsy and staged using CT, endoscopic ultrasound, PET, and laparoscopy. It is a molecularly and phenotypically highly heterogeneous disease. The main treatment for early gastric cancer is endoscopic resection. Non-early operable gastric cancer is treated with surgery, which should include D2 lymphadenectomy (including lymph node stations in the perigastric mesentery and along the celiac arterial branches). Perioperative or adjuvant chemotherapy improves survival in patients with stage 1B or higher cancers. Advanced gastric cancer is treated with sequential lines of chemotherapy, starting with a platinum and fluoropyrimidine doublet in the first line; median survival is less than 1 year. Targeted therapies licensed to treat gastric cancer include trastuzumab (HER2-positive patients first line), ramucirumab (anti-angiogenic second line), and nivolumab or pembrolizumab (anti-PD-1 third line).
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Self-citationComprehensive molecular characterization of gastric adenocarcinoma
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Role of pyroptosis in inflammation and cancer
Wei, X., Xie, F., Zhou, X., Wu, Y., Yan, H., Liu, T., Huang, J., Wang, F., Zhou, F., & Zhang, L. (2022) · Cellular & Molecular Immunology · doi:10.1038/s41423-022-00905-x · Cited by 699
Shah, M. A., Shitara, K., Ajani, J. A., Bang, Y.-J., Enzinger, P., Ilson, D., Lordick, F., Van Cutsem, E., Gallego Plazas, J., Huang, J., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02465-7 · Cited by 681
Self-citationMetabolomic machine learning predictor for diagnosis and prognosis of gastric cancer
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Muti, H. S., Heij, L. R., Keller, G., Kohlruss, M., Langer, R., Dislich, B., Cheong, J.-H., Kim, Y.-W., Kim, H., Kook, M.-C., et al. (2021) · The Lancet Digital Health · doi:10.1016/s2589-7500(21)00133-3 · Cited by 126
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Metadata
- Authors
- Smyth, E. C., Nilsson, M., Grabsch, H. I., van Grieken, N. C., & Lordick, F.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 396
- Issue
- 10251
- Pages
- 635-648
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W4210990885
- Cited by
- 4,803
- References
- 138
- FWCI
- 245.66
- Type
- journal article
- Language
- en
- Open access
- closed
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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.