INFORM: INFrared-based ORganizational Measurements of tumor and its microenvironment to predict patient survival
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/9dda6a8e-f7ca-4e80-b3d1-cea0a5de291b
- author
- Tiwari, Saumya ; Kajdacsy-Balla, Andre ; Whiteley, Joshua ; Cheng, Georgina ; Jirström, Karin LU ; Birgisson, Helgi ; Hewitt, Stephen M. and Bhargava, Rohit
- organization
- publishing date
- 2021-02-03
- 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}}, }