Cargando…
INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival
The structure and organization of a tumor and its microenvironment are often associated with cancer outcomes due to spatially varying molecular composition and signaling. A persistent challenge is to use this physical and chemical spatial organization to understand cancer progression. Here, we prese...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857685/ https://www.ncbi.nlm.nih.gov/pubmed/33536203 http://dx.doi.org/10.1126/sciadv.abb8292 |
_version_ | 1783646492656926720 |
---|---|
author | Tiwari, Saumya Kajdacsy-Balla, Andre Whiteley, Joshua Cheng, Georgina Hewitt, Stephen M. Bhargava, Rohit |
author_facet | Tiwari, Saumya Kajdacsy-Balla, Andre Whiteley, Joshua Cheng, Georgina Hewitt, Stephen M. Bhargava, Rohit |
author_sort | Tiwari, Saumya |
collection | PubMed |
description | The structure and organization of a tumor and its microenvironment are often associated with cancer outcomes due to spatially varying molecular composition and signaling. A persistent challenge is to use this physical and chemical spatial organization to understand cancer progression. Here, we present a high-definition infrared imaging–based organizational measurement framework (INFORM) that leverages intrinsic chemical contrast of tissue to label unique components of the tumor and its microenvironment. Using objective and automated computational methods, further, we determine organization characteristics important for prediction. We show that the tumor spatial organization assessed with this framework is predictive of overall survival in colon cancer that adds to capability from clinical variables such as stage and grade, approximately doubling the risk of death in high-risk individuals. Our results open an all-digital avenue for measuring and studying the association between tumor spatial organization and disease progression. |
format | Online Article Text |
id | pubmed-7857685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78576852021-02-16 INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival Tiwari, Saumya Kajdacsy-Balla, Andre Whiteley, Joshua Cheng, Georgina Hewitt, Stephen M. Bhargava, Rohit Sci Adv Research Articles The structure and organization of a tumor and its microenvironment are often associated with cancer outcomes due to spatially varying molecular composition and signaling. A persistent challenge is to use this physical and chemical spatial organization to understand cancer progression. Here, we present a high-definition infrared imaging–based organizational measurement framework (INFORM) that leverages intrinsic chemical contrast of tissue to label unique components of the tumor and its microenvironment. Using objective and automated computational methods, further, we determine organization characteristics important for prediction. We show that the tumor spatial organization assessed with this framework is predictive of overall survival in colon cancer that adds to capability from clinical variables such as stage and grade, approximately doubling the risk of death in high-risk individuals. Our results open an all-digital avenue for measuring and studying the association between tumor spatial organization and disease progression. American Association for the Advancement of Science 2021-02-03 /pmc/articles/PMC7857685/ /pubmed/33536203 http://dx.doi.org/10.1126/sciadv.abb8292 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Tiwari, Saumya Kajdacsy-Balla, Andre Whiteley, Joshua Cheng, Georgina Hewitt, Stephen M. Bhargava, Rohit INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival |
title | INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival |
title_full | INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival |
title_fullStr | INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival |
title_full_unstemmed | INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival |
title_short | INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival |
title_sort | inform: infrared-based organizational measurements of tumor and its microenvironment to predict patient survival |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857685/ https://www.ncbi.nlm.nih.gov/pubmed/33536203 http://dx.doi.org/10.1126/sciadv.abb8292 |
work_keys_str_mv | AT tiwarisaumya informinfraredbasedorganizationalmeasurementsoftumoranditsmicroenvironmenttopredictpatientsurvival AT kajdacsyballaandre informinfraredbasedorganizationalmeasurementsoftumoranditsmicroenvironmenttopredictpatientsurvival AT whiteleyjoshua informinfraredbasedorganizationalmeasurementsoftumoranditsmicroenvironmenttopredictpatientsurvival AT chenggeorgina informinfraredbasedorganizationalmeasurementsoftumoranditsmicroenvironmenttopredictpatientsurvival AT hewittstephenm informinfraredbasedorganizationalmeasurementsoftumoranditsmicroenvironmenttopredictpatientsurvival AT bhargavarohit informinfraredbasedorganizationalmeasurementsoftumoranditsmicroenvironmenttopredictpatientsurvival |