AIMC Topic: Organoplatinum Compounds
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Machine Learning Predicts Oxaliplatin Benefit in Early Colon Cancer.
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
Feb 5, 2024
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 ...
FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms.
Cancer medicine
Jan 1, 2020
Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensitive to FOLFOX (5-FU, leucovorin and oxaliplatin) therapy is very important. We performed microarray meta-analysis to identify differentially expressed ...
Protein Kinases
Datasets as Topic
Organoplatinum Compounds
Cell Cycle Proteins
Antineoplastic Combined Chemotherapy Protocols
Neoplasm Recurrence, Local
Fluorouracil
Leucovorin
Oligonucleotide Array Sequence Analysis
Intracellular Signaling Peptides and Proteins
Response Evaluation Criteria in Solid Tumors
Humans
Machine Learning
Prognosis
Colorectal Neoplasms
Biomarkers, Tumor
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
PAK6-Associated Support Vector Machine Classifier: A New Way to Evaluate Response and Survival of Gastric Cancer Treated by 5-FU/Oxaliplatin Chemotherapy.
EBioMedicine
Jul 5, 2017
Preparation, Characterization, and Antitumor Activities of Miriplatin-Loaded Liposomes.
Journal of pharmaceutical sciences
Dec 22, 2015
Because of the insolubility of miriplatin in water, miriplatin and lipiodol suspension is the sole formulation of miriplatin approved in Japan to treat hepatocellular carcinoma by transcatheter arterial chemoembolization. Until now, there have been n...
Modeling analgesic drug interactions using support vector regression: a new approach to isobolographic analysis.
Journal of pharmacological and toxicological methods
Sep 28, 2014
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.
Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence.
Cancer research communications
May 23, 2024
UNLABELLED: Deep learning may detect biologically important signals embedded in tumor morphologic features that confer distinct prognoses. Tumor morphologic features were quantified to enhance patient risk stratification within DNA mismatch repair (M...
[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
Nov 1, 2017
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
Nov 1, 2016
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...
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