Abstract B64: Development and analytical validation of a ful…
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- DOI 10.1158/1538-7445.tummet15-b64
- OpenAlex ID W2408559349
- Type Conference-abstract
- Language EN
- Published 01 Apr 2016
- Volume 76 (7_Supplement)
- Pages B64
- Source Cancer Research
- Publisher American Association for Cancer Res…
- Countries 1
- Institutions 2
- Added 24 Jun 2016
- Updated 08 Oct 2026
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Abstract B64: Development and analytical validation of a fully-automated platform for quantification of MetaSites to predict systemic metastasis
Conference-abstract 2016 EN
Abstract Background: Tumor metastasis is responsible for the majority of solid tumor related deaths. Diagnostic assays that accurately predict risk of cancer dissemination provide useful information for optimizing personalized treatment strategies. As previously demonstrated, using manual methods, the number and distribution of MetaSites in the tumor microenvironment significantly predicts metasta…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
6 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Michael Peterson | — | — |
| 2 | Lonnie Graves | — | — |
| 3 | Michael J. Donovan | Mount Sinai Hospital (US) | — |
| 4 | Douglas A. Hamilton | — | — |
| 5 | Olga Poxdnyakova | Brigham and Women's Hospital (US) | — |
| 6 | Mark D. Gustavson | — | — |
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