This page shows the publications co-authored by John Quackenbush and Dimitrios Spentzos.
MicroRNA-mRNA networks define translatable molecular outcome phenotypes in osteosarcoma. Sci Rep. 2020 03 10; 10(1):4409.
Clinical and Molecular Analysis of Pathologic Fracture-associated Osteosarcoma: MicroRNA profile Is Different and Correlates with Prognosis. Clin Orthop Relat Res. 2019 Sep; 477(9):2114-2126.
An imprinted non-coding genomic cluster at 14q32 defines clinically relevant molecular subtypes in osteosarcoma across multiple independent datasets. J Hematol Oncol. 2017 05 15; 10(1):107.
Next-generation sequencing and microarray-based interrogation of microRNAs from formalin-fixed, paraffin-embedded tissue: preliminary assessment of cross-platform concordance. Genomics. 2013 Jul; 102(1):8-14.
MicroRNA paraffin-based studies in osteosarcoma reveal reproducible independent prognostic profiles at 14q32. Genome Med. 2013; 5(1):2.
A microRNA activity map of human mesenchymal tumors: connections to oncogenic pathways; an integrative transcriptomic study. BMC Genomics. 2012 Jul 23; 13:332.
Integrated analysis of multiple microarray datasets identifies a reproducible survival predictor in ovarian cancer. PLoS One. 2011 Mar 29; 6(3):e18202.
A network model for angiogenesis in ovarian cancer. BMC Bioinformatics. 2015 Apr 11; 16:115.
Stem cell-like gene expression in ovarian cancer predicts type II subtype and prognosis. PLoS One. 2013; 8(3):e57799.
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.