Platform for Quantitative Evaluation of Spatial Intratumoral Heterogeneity in Multiplexed Fluorescence Images

We introduce THRIVE (Tumor Heterogeneity Research Interactive Visualization Environment), an open-source tool developed to assist cancer researchers in interactive hypothesis testing. The focus of this tool is to quantify spatial intratumoral heterogeneity (ITH), and the interactions between differe...

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Podrobná bibliografie
Vydáno v:	Cancer research (Chicago, Ill.) Ročník 77; číslo 21; s. e71
Hlavní autoři:	Spagnolo, Daniel M, Al-Kofahi, Yousef, Zhu, Peihong, Lezon, Timothy R, Gough, Albert, Stern, Andrew M, Lee, Adrian V, Ginty, Fiona, Sarachan, Brion, Taylor, D Lansing, Chennubhotla, S Chakra
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States 01.11.2017
Témata:	Algorithms Genetic Heterogeneity Humans Image Processing, Computer-Assisted - methods Neoplasms - genetics Neoplasms - pathology Optical Imaging - methods Optical Imaging - statistics & numerical data Software Tissue Array Analysis - statistics & numerical data
ISSN:	1538-7445, 1538-7445
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Popis
Shrnutí:	We introduce THRIVE (Tumor Heterogeneity Research Interactive Visualization Environment), an open-source tool developed to assist cancer researchers in interactive hypothesis testing. The focus of this tool is to quantify spatial intratumoral heterogeneity (ITH), and the interactions between different cell phenotypes and noncellular constituents. Specifically, we foresee applications in phenotyping cells within tumor microenvironments, recognizing tumor boundaries, identifying degrees of immune infiltration and epithelial/stromal separation, and identification of heterotypic signaling networks underlying microdomains. The THRIVE platform provides an integrated workflow for analyzing whole-slide immunofluorescence images and tissue microarrays, including algorithms for segmentation, quantification, and heterogeneity analysis. THRIVE promotes flexible deployment, a maintainable code base using open-source libraries, and an extensible framework for customizing algorithms with ease. THRIVE was designed with highly multiplexed immunofluorescence images in mind, and, by providing a platform to efficiently analyze high-dimensional immunofluorescence signals, we hope to advance these data toward mainstream adoption in cancer research. .
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1538-7445 1538-7445
DOI:	10.1158/0008-5472.CAN-17-0676