Joseph Costello, PhD

Professor
Department of Neurological Surgery
Research Overview: 

The Costello laboratory is composed of molecular and computational biologists working alongside clinician-scientists.  Our goal is to understand the full life history of human tumors, from the first mutation and epimutation through clonal selection and tumor recurrence.  We use next-generation sequencing to discover patterns and interdependencies of genetic mutations, epigenetic alternations and gene expression changes. Current projects incorporate MRI guided tumor biopsies and treatment data with longitudinal genomics to allow the reconstruction of tumor evolution in the context of the human tumor in vivo.  In collaboration with the Okada laboratory, we will be exploring the application of immune therapies to target tumor specific mutations and tumors that emerge as hypermutated following chemotherapy.  On the gene level, we recently discovered the mechanism by which mutation in the TERT gene promoter leads to telomerase activation, and are pursuing further mechanistic and therapeutic studies aimed at reversing tumor cell immortalization. TERT promoter mutation is one of the most common mutations in cancer in adults.

Primary Thematic Area: 
Cancer Biology & Cell Signaling
Secondary Thematic Area: 
Human Genetics
Research Summary: 
Mechanistic and Translational Cancer Research using Genomic and Epigenomic Approaches

Websites

Publications: 

Deconstructing Intratumoral Heterogeneity through Multiomic and Multiscale Analysis of Serial Sections.

bioRxiv : the preprint server for biology

Schupp PG, Shelton SJ, Brody DJ, Eliscu R, Johnson BE, Mazor T, Kelley KW, Potts MB, McDermott MW, Huang EJ, Lim DA, Pieper RO, Berger MS, Costello JF, Phillips JJ, Oldham MC

Challenges in the discovery of tumor-specific alternative splicing-derived cell-surface antigens in glioma.

Scientific reports

Nejo T, Wang L, Leung KK, Wang A, Lakshmanachetty S, Gallus M, Kwok DW, Hong C, Chen LH, Carrera DA, Zhang MY, Stevers NO, Maldonado GC, Yamamichi A, Watchmaker PB, Naik A, Shai A, Phillips JJ, Chang SM, Wiita AP, Wells JA, Costello JF, Diaz AA, Okada H

Artificial neural network for brain-machine interface consistently produces more naturalistic finger movements than linear methods.

bioRxiv : the preprint server for biology

Temmar H, Willsey MS, Costello JT, Mender MJ, Cubillos LH, Lam JL, Wallace DM, Kelberman MM, Patil PG, Chestek CA

Glioblastoma evolution and heterogeneity from a 3D whole-tumor perspective.

Cell

Mathur R, Wang Q, Schupp PG, Nikolic A, Hilz S, Hong C, Grishanina NR, Kwok D, Stevers NO, Jin Q, Youngblood MW, Stasiak LA, Hou Y, Wang J, Yamaguchi TN, Lafontaine M, Shai A, Smirnov IV, Solomon DA, Chang SM, Hervey-Jumper SL, Berger MS, Lupo JM, Okada H, Phillips JJ, Boutros PC, Gallo M, Oldham MC, Yue F, Costello JF