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Oxaliplatin

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Hepatoid adenocarcinoma of the stomach with ideal response to neoadjuvant chemo-immunotherapy: a case report.

Frontiers in immunology
Hepatoid adenocarcinoma of the stomach (HAS) is a rare subtype of gastric cancer characterized by histological features resembling hepatocellular carcinoma. Surgical intervention remains the preferred treatment modality for eligible patients. However...

[A Case of Advanced Gastric Cancer with Synchronous Liver Metastases Responding to Preoperative Combination Chemotherapy with S-1 plus Oxaliplatin(SOX)].

Gan to kagaku ryoho. Cancer & chemotherapy
A 67-year-old man was admitted to our hospital because of anemia and weight loss, and diagnosed with a type 3 tumor in the upper gastric body. Pathological examination suggested moderately differentiated adenocarcinoma with immunohistochemically nega...

[A Case of a-Fetoprotein Producing Gastric Cancer with Lymph Node Recurrence after Endoscopic Submucosal Dissection].

Gan to kagaku ryoho. Cancer & chemotherapy
A 70-year-old man underwent endoscopic submucosal dissection(ESD)for 2 early-stage gastric cancers in 2009 and 2014, respectively. Both were pathologically diagnosed after curative resection. In 2015, we detected swollen lymph nodes in the lesser cur...

Modeling analgesic drug interactions using support vector regression: a new approach to isobolographic analysis.

Journal of pharmacological and toxicological methods
BACKGROUND: Modeling drug interactions is important for illustrating combined drug actions and for predicting the pharmacological and/or toxicological effects that can be obtained using combined drug therapy.

Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters.

Journal of pharmacological sciences
Irinotecan (CPT-11) is a drug used against a wide variety of tumors, which can cause severe toxicity, possibly leading to the delay or suspension of the cycle, with the consequent impact on the prognosis of survival. The main goal of this work is to ...

Machine Learning Predicts Oxaliplatin Benefit in Early Colon Cancer.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology
PURPOSE: A combination of fluorouracil, leucovorin, and oxaliplatin (FOLFOX) is the standard for adjuvant therapy of resected early-stage colon cancer (CC). Oxaliplatin leads to lasting and disabling neurotoxicity. Reserving the regimen for patients ...

Predicting response to neoadjuvant chemotherapy for colorectal liver metastasis using deep learning on prechemotherapy cross-sectional imaging.

Journal of surgical oncology
BACKGROUND AND OBJECTIVES: Deep learning models (DLMs) are applied across domains of health sciences to generate meaningful predictions. DLMs make use of neural networks to generate predictions from discrete data inputs. This study employs DLM on pre...

Identification of dequalinium as a potent inhibitor of human organic cation transporter 2 by machine learning based QSAR model.

Scientific reports
Human organic cation transporter 2 (hOCT2/SLC22A2) is a key drug transporter that facilitates the transport of endogenous and exogenous organic cations. Because hOCT2 is responsible for the development of adverse effects caused by platinum-based anti...