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Nivolumab

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[A Case of Juvenile AFP-Producing Gastric Cancer with Virchow Lymph Node Metastasis Achieved Long-Term Survival with Multimodal Therapy].

Gan to kagaku ryoho. Cancer & chemotherapy
A 25-year-old male received palliative total gastrectomy plus D1 dissection plus Roux-en-Y reconstruction for hemorrhagic gastric cancer with left Virchow lymph node metastasis in 2013. The final diagnosis was Type 2, pT4a(se), pap>tub2 >hepatoid ade...

Initial results of pulmonary resection after neoadjuvant nivolumab in patients with resectable non-small cell lung cancer.

The Journal of thoracic and cardiovascular surgery
OBJECTIVE: We conducted a phase I trial of neoadjuvant nivolumab, a monoclonal antibody to the programmed cell death protein 1 checkpoint receptor, in patients with resectable non-small cell lung cancer. We analyzed perioperative outcomes to assess t...

A Machine-Learning Approach to Identify a Prognostic Cytokine Signature That Is Associated With Nivolumab Clearance in Patients With Advanced Melanoma.

Clinical pharmacology and therapeutics
Lower clearance of immune checkpoint inhibitors is a predictor of improved overall survival (OS) in patients with advanced cancer. We investigated a novel approach using machine learning to identify a baseline composite cytokine signature via clearan...

Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics.

Clinical cancer research : an official journal of the American Association for Cancer Research
PURPOSE: Using standard-of-care CT images obtained from patients with a diagnosis of non-small cell lung cancer (NSCLC), we defined radiomics signatures predicting the sensitivity of tumors to nivolumab, docetaxel, and gefitinib.

Exploration of biomedical knowledge for recurrent glioblastoma using natural language processing deep learning models.

BMC medical informatics and decision making
BACKGROUND: Efficient exploration of knowledge for the treatment of recurrent glioblastoma (GBM) is critical for both clinicians and researchers. However, due to the large number of clinical trials and published articles, searching for this knowledge...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study.

JCO clinical cancer informatics
PURPOSE: Anti-PD-1 antibodies are widely used for cancer treatment, including in advanced renal cell carcinoma (RCC). However, the therapeutic response varies among patients. This study aimed to predict tumor response to nivolumab anti-PD-1 antibody ...