Sign in
Cancer BiologybioRxiv

An Omic and Multidimensional Spatial Atlas from Serial Biopsies of an Evolving Metastatic Breast Cancer

B. E. Johnson, A. L. Creason, J. M. Stommel, J. M. Keck, S. Parmar, C. B. Betts, A. Blucher, C. Boniface, E. Bucher, E. A. Burlingame, T. Camp, K. Chin, J. Eng, J. Estabrook, H. S. Feiler, Z. Hu, A. Kolodzie, B. L. Kong, M. Labrie, J. Lee, P. Leyshock, S. Mitri, J. Patterson, J. L. Riesterer, S. Sivagnanam, , J. W. Gray

Abstract

Mechanisms of therapeutic resistance manifest in metastatic cancers as tumor cell intrinsic alterations and extrinsic microenvironmental influences that can change during treatment. To support the development of methods for the identification of these mechanisms in individual patients, we present here an Omic and Multidimensional Spatial (OMS) Atlas generated from four serial biopsies of a metastatic breast cancer patient during 3.5 years of therapy. This resource links detailed, longitudinal clinical metadata including treatment times and doses, anatomic imaging, and blood-based response measurements to exploratory analytics including comprehensive DNA, RNA, and protein profiles, images of multiplexed immunostaining, and 2- and 3-dimensional scanning electron micrographs. These data reveal aspects of therapy-associated heterogeneity and evolution of the cancers genome, signaling pathways, immune microenvironment, cellular composition and organization, and ultrastructure. We present illustrative examples showing how integrative analyses of these data provide insights into potential mechanisms of response and resistance, and suggest novel therapeutic vulnerabilities.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISStrobl '18Túrós '26Creason '23Huang '21Jiménez‐San '24Kleunen '24
61% semantic matchCancer Biology
Maximilian Strobl, Matthew Wicker, Vikram Adhikarla+11 more·bioRxiv·Oct 24, 2018