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A Radiosensitivity Gene Signature and PD-L1 Status Predict Clinical Outcome of Patients with Glioblastoma Multiforme in The Cancer Genome Atlas Dataset |
Bum-Sup Jang, In Ah Kim |
Cancer Research and Treatment. 2020;52(2):530-542. Published online 2019 November 20 DOI: https://doi.org/10.4143/crt.2019.440 |
A Radiosensitivity Gene Signature and PD-L1 Status Predict Clinical Outcome of Patients with Glioblastoma Multiforme in The Cancer Genome Atlas Dataset A radiosensitivity gene signature and PD-L1 status predict clinical outcome of patients with invasive breast carcinoma in The Cancer Genome Atlas (TCGA) dataset A Radiosensitivity Gene Signature and PD-L1 Status Predict Clinical Outcome of Patients With Lower Grade Glioma in the Cancer Genome Atlas Dataset Combination of Radiosensitivity Gene Signature and PD-L1 Status Predicts Clinical Outcome of Patients With Locally Advanced Head and Neck Squamous Cell Carcinoma: A Study Based on The Cancer Genome Atlas Dataset PV-0233: A Radiosensitivity Gene Signature & PD-L1 Predict Clinical Outcome of Breast Cancer in TCGA dataset A Radiosensitivity Gene Signature and PD-L1 Status Predict Clinical Outcome of Patients with Glioblastoma: Integrative Analyses of Transcriptome and Methylome PO-0714: A Radiosensitivity and PD-L1 Predict Clinical Outcome of Patients with GBM in TCGA Dataset A radiosensitivity gene signature and PD-L1 predict the clinical outcomes of patients with lower grade glioma in TCGA PD-L1 Expression and Combined Status of PD-L1/PD-1–Positive Tumor Infiltrating Mononuclear Cell Density Predict Prognosis in Glioblastoma Patients GATA2 as an outcome signature: promoting bladder cancer migration and inhibiting PD-L1 expression |
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