H. Noushmehr

Longitudinal analysis of diffuse glioma reveals cell state dynamics at recurrence associated with changes in genetics and the microenvironment

This study analyzes longitudinal glioma data to identify recurrence-associated changes in genetics and microenvironment linked to therapy resistance.

DNA Methylation-based Signatures Classify Sporadic Pituitary Tumors According to Clinicopathological Features.

This paper identifies and validates DNA methylation signatures that classify sporadic pituitary tumors based on clinicopathological features and adenohypophyseal cell lineages.

Primary and recurrent glioma patient-derived orthotopic xenografts (PDOX) represent relevant patient avatars for precision medicine

This study shows that glioma PDOX models accurately represent patient tumors and can predict treatment responses in personalized medicine.

Predicting master transcription factors from pan-cancer expression data

This paper introduces CaCTS, an algorithm that identifies candidate master transcription factors (MTFs) across 34 cancer types using RNA-seq data, revealing novel MTFs and functional groupings.

Detection of glioma and prognostic subtypes by non-invasive circulating cell-free DNA methylation markers

This study identifies non-invasive circulating DNA methylation markers that can detect glioma and predict its prognosis from serum samples.

Glioma CpG Island Methylator Phenotype (G-CIMP): Biological and Clinical Implications

This paper reviews the biological and clinical implications of G-CIMP subsets in gliomas, highlighting their role in prognosis and potential for personalized therapy.