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INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival

Tiwari, Saumya ; Kajdacsy-Balla, Andre ; Whiteley, Joshua ; Cheng, Georgina ; Jirström, Karin LU orcid ; Birgisson, Helgi ; Hewitt, Stephen M. and Bhargava, Rohit (2021) In Science Advances 7(6). p.1-10
Abstract
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... (More)
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. (Less)
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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Science Advances
volume
7
issue
6
pages
1 - 10
publisher
American Association for the Advancement of Science (AAAS)
external identifiers
  • scopus:85101039540
ISSN
2375-2548
DOI
10.1126/sciadv.abb8292
language
English
LU publication?
yes
id
9dda6a8e-f7ca-4e80-b3d1-cea0a5de291b
date added to LUP
2023-02-06 12:55:33
date last changed
2024-01-29 02:54:44
@article{9dda6a8e-f7ca-4e80-b3d1-cea0a5de291b,
  abstract     = {{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.}},
  author       = {{Tiwari, Saumya and Kajdacsy-Balla, Andre and Whiteley, Joshua and Cheng, Georgina and Jirström, Karin and Birgisson, Helgi and Hewitt, Stephen M. and Bhargava, Rohit}},
  issn         = {{2375-2548}},
  language     = {{eng}},
  month        = {{02}},
  number       = {{6}},
  pages        = {{1--10}},
  publisher    = {{American Association for the Advancement of Science (AAAS)}},
  series       = {{Science Advances}},
  title        = {{INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival}},
  url          = {{http://dx.doi.org/10.1126/sciadv.abb8292}},
  doi          = {{10.1126/sciadv.abb8292}},
  volume       = {{7}},
  year         = {{2021}},
}