A clinical case of lymph node recurrence after resection of gastric cancer successfully treated by combination chemotherapy with irinotecan and cisplatin
Abstract
A 60-year-old female who was diagnosed as gastric cancer underwent distal gastrectomy and received adjuvant chemotherapy (S-1 therapy). After 6 months, the tumor marker (CEA) was elevated. CT revealed para-aortic lymph nodes enlargement. Lymph node metastasis was confirmed. The patient was administered combination chemotherapy with irinotecan (CPT-11) and cisplatin (CDDP) Seven months later, CT revealed lymph node metastasis had disappeared. After judgment of complete response (CR), we continued the treatment for 22 months. The patient was followed without any recurrence in May 2010.
How strong is the evidence?
Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
Read the paper
Related studies
- Combining in silico and in vitro approaches to identification of potent inhibitor against phospholipase A2 (PLA2)
- In silico and in vitro studies: investigating the chemical composition, DFT, molecular docking, and dynamic simulation of Satureja candidissima (Munby) Briq essential oil as a potential antibacterial agent
- Quercetin combined with ciprofloxacin and gentamicin inhibits biofilm formation and virulence in Staphylococcus aureus
- In silico study of the mechanism of action, pharmacokinetic and toxicological properties of some N-methylanthranilates and their analogs
- Anticonvulsant Effects of Citronellal, Daidzin, and Phytol, Possibly Through GABAA Receptor and Voltage-Gated Sodium Channel Interaction Pathways: In Vivo and In Silico Studies
- 2-Phenylcyclopropylmethylamine (PCPMA) Derivatives as D3R-Selective Ligands for 3D-QSAR, Docking and Molecular Dynamics Simulation Studies
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.