Results 51 to 60 of about 561,319 (304)

Identification of prognostic long noncoding RNAs associated with spontaneous regression of neuroblastoma

open access: yesCancer Medicine, 2020
Background The association between long noncoding RNAs (lncRNAs) and spontaneous regression of neuroblastoma (NB) has rarely been investigated and remains unknown.
Xinyao Meng   +3 more
doaj   +1 more source

DNA methylation-based prognosis and epidrivers in hepatocellular carcinoma [PDF]

open access: yes, 2017
Epigenetic deregulation has emerged as a driver in human malignancies. There is no clear understanding of the epigenetic alterations in hepatocellular carcinoma (HCC) and of the potential role of DNA methylation markers as prognostic biomarkers. Analysis
Battiston, Carlo   +17 more
core   +1 more source

Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma

open access: yesEBioMedicine, 2020
Background: To develop a radiomics signature for predicting overall survival (OS)/progression-free survival (PFS) in patients with medulloblastoma (MB), and to investigate the incremental prognostic value and biological pathways of the radiomics patterns.
Jing Yan   +24 more
doaj   +1 more source

Protein signatures for survival and recurrence in metastatic melanoma [PDF]

open access: yesJournal of Proteomics, 2011
Patients with melanoma metastatic to regional lymph nodes exhibit a range in tumor progression, survival, and treatment. Current approaches to stratify patients with this stage of disease predominantly involve clinical and histological methods. Molecular classification thus far has focused almost exclusively on genetic mutations.
William M, Hardesty   +4 more
openaire   +2 more sources

Development and validation of a hypoxia-related gene signature to predict overall survival in early-stage lung adenocarcinoma patients

open access: yesTherapeutic Advances in Medical Oncology, 2020
Background: Patients with early-stage lung adenocarcinoma (LUAD) exhibit significant heterogeneity in overall survival. The current tumour-node-metastasis staging system is insufficient to provide precise prediction for prognosis.
Jing Sun   +6 more
doaj   +1 more source

Survival probability for exclusive central diffractive production of colorless states at the LHC

open access: yes, 2006
In this paper we discuss the survival probability for exclusive central diffractive production of a colorless small size system at the LHC. This process has a clear signature of two large rapidity gaps.
A. Prygarin   +31 more
core   +1 more source

Radiomics-Based Outcome Prediction for Pancreatic Cancer Following Stereotactic Body Radiotherapy [PDF]

open access: yes, 2020
(1) Background: Radiomics use high-throughput mining of medical imaging data to extract unique information and predict tumor behavior. Currently available clinical prediction models poorly predict treatment outcomes in pancreatic adenocarcinoma ...
Baine, Michael   +11 more
core   +1 more source

A Surgical Perspective on Targeted Therapy of Hepatocellular Carcinoma. [PDF]

open access: yes, 2015
Hepatocellular carcinoma (HCC), the second leading cause of cancer deaths worldwide, is difficult to treat and highly lethal. Since HCC is predominantly diagnosed in patients with cirrhosis, treatment planning must consider both the severity of liver ...
Busuttil, Ronald W   +2 more
core   +2 more sources

A 4-miRNA signature to predict survival in glioblastomas [PDF]

open access: yesPLOS ONE, 2017
Glioblastomas are among the most lethal cancers; however, recent advances in survival have increased the need for better prognostic markers. microRNAs (miRNAs) hold great prognostic potential being deregulated in glioblastomas and highly stable in stored tissue specimens.
Simon K. Hermansen   +6 more
openaire   +5 more sources

Boosting the concordance index for survival data - a unified framework to derive and evaluate biomarker combinations [PDF]

open access: yes, 2013
The development of molecular signatures for the prediction of time-to-event outcomes is a methodologically challenging task in bioinformatics and biostatistics.
Mayr, Andreas, Schmid, Matthias
core   +11 more sources

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