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Mapping Spatiotemporal Heterogeneity in Tumor Profiles by Integrating High-Throughput Imaging and Omics Analysis

Patkulkar, PA and Subbalakshmi, AR and Jolly, MK and Sinharay, S (2022) Mapping Spatiotemporal Heterogeneity in Tumor Profiles by Integrating High-Throughput Imaging and Omics Analysis. In: ACS Omega .

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Official URL: https://doi.org/10.1021/acsomega.2c06659


Intratumoral heterogeneity associates with more aggressive disease progression and worse patient outcomes. Understanding the reasons enabling the emergence of such heterogeneity remains incomplete, which restricts our ability to manage it from a therapeutic perspective. Technological advancements such as high-throughput molecular imaging, single-cell omics, and spatial transcriptomics allow recording of patterns of spatiotemporal heterogeneity in a longitudinal manner, thus offering insights into the multiscale dynamics of its evolution. Here, we review the latest technological trends and biological insights from molecular diagnostics as well as spatial transcriptomics, both of which have witnessed burgeoning growth in the recent past in terms of mapping heterogeneity within tumor cell types as well as the stromal constitution. We also discuss ongoing challenges, indicating possible ways to integrate insights across these methods to have a systems-level spatiotemporal map of heterogeneity in each tumor and a more systematic investigation of the implications of heterogeneity for patient outcomes. © 2023 The Authors. Published by American Chemical Society.

Item Type: Journal Article
Publication: ACS Omega
Publisher: American Chemical Society
Additional Information: The copyright for this article belongs to the Authors.
Department/Centre: Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering
Date Deposited: 25 Feb 2023 08:32
Last Modified: 25 Feb 2023 08:32
URI: https://eprints.iisc.ac.in/id/eprint/80707

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