GTC presented abstracts at AACR 2023
GTC’s posters from 2023 Convention of American Association for Cancer Research are now available to be downloaded. Please reach out with any questions.
Predicting PD-L1 Status in Solid Tumors Using Transcriptomic Data and Artificial Intelligence Algorithms
The Molecular Landscape of Premenopausal Versus Postmenopausal Breast Cancer in Patients Without Inherited Predisposition Mutations
Real-world transcriptomic biomarkers as replacement for immunohistochemistry and FISH studies in breast cancer
Read more Articles and News from GTC
Using cell free DNA (cfDNA) and RNA (cfRNA) in the diagnosis andmonitoring of primary and metastatic CNS tumors
New Paper Published in The Journal of Liquid Biopsy A B S T R A C T Background: Cerebrospinal fluid (CSF) is a relatively accessible
New Paper Highlights the Critical Role of GTC’s Molecular Testing in CTCL
Dr. Maher Albitar of Genomic Testing Cooperative is among the study’s co-authors. Read the publication in Modern Pathology DOI: 10.1016/j.modpat.2026.101054Published online: August 13, 2026.
Using cell-free RNA to identify B- and T-cell clonality for diagnosis and monitoring of B- and T-cell neoplasms
New Paper published in FEBS openbio Cell-free RNA (cfRNA) is emerging as a supplemental approach for liquid biopsy (LBx). Given that lymphoid cells and plasma
Biology-based multi-class classification of cancer using genomics and artificial intelligence
Abstract Cancer classification traditionally focuses on tissue of origin and histology appearance. Traditional “hard” classification for a specific diagnostic class yields binary yes/no class prediction.