CrossRef Text and Data Mining
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining.
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

Excel Download

A Radiosensitivity Gene Signature and PD-L1 Status Predict Clinical Outcome of Patients with Glioblastoma Multiforme in The Cancer Genome Atlas Dataset
Cancer Research and Treatment. 2020;52(2):530-542   Crossref logo
Link1 Link2 Link3

A Radiosensitivity Gene Signature and PD-L1 Status Predict Clinical Outcome of Patients With Lower Grade Glioma in the Cancer Genome Atlas Dataset
International Journal of Radiation Oncology*Biology*Physics. 2017;99(2):E82   Crossref logo
Link1 Link2

A radiosensitivity gene signature and PD-L1 status predict clinical outcome of patients with invasive breast carcinoma in The Cancer Genome Atlas (TCGA) dataset
Radiotherapy and Oncology. 2017;124(3):403-410   Crossref logo
Link1 Link2

PV-0233: A Radiosensitivity Gene Signature & PD-L1 Predict Clinical Outcome of Breast Cancer in TCGA dataset
Radiotherapy and Oncology. 2017;123:S117   Crossref logo
Link1 Link2

A Radiosensitivity Gene Signature and PD-L1 Status Predict Clinical Outcome of Patients with Glioblastoma: Integrative Analyses of Transcriptome and Methylome
International Journal of Radiation Oncology*Biology*Physics. 2018;102(3):S49   Crossref logo
Link1 Link2

A radiosensitivity gene signature and PD-L1 predict the clinical outcomes of patients with lower grade glioma in TCGA
Radiotherapy and Oncology. 2018;128(2):245-253   Crossref logo
Link1 Link2

PO-0714: A Radiosensitivity and PD-L1 Predict Clinical Outcome of Patients with GBM in TCGA Dataset
Radiotherapy and Oncology. 2018;127:S365   Crossref logo
Link1 Link2

PD-L1 Expression and Combined Status of PD-L1/PD-1–Positive Tumor Infiltrating Mononuclear Cell Density Predict Prognosis in Glioblastoma Patients
Journal of Pathology and Translational Medicine. 2017;51(1):40-48   Crossref logo
Link1 Link2 Link3

A Radiosensitivity Gene Signature and XPO1 Predict Clinical Outcomes for Glioma Patients
Frontiers in Oncology. 2020;10:   Crossref logo
Link1

Evaluating the Prognostic Accuracy of Biomarkers for Glioblastoma Multiforme Using The Cancer Genome Atlas Data
Cancer Informatics. 2017;16:117693511773484   Crossref logo
Link1 Link2 Link3

This metadata service is kindly provided by CrossRef from May 29, 2014. Cancer Res Treat has participated in CrossRef Text and Data Mining service since October 29, 2014.