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Multiplexed digital spatial profiling of invasive breast tumors from Black and White women
The NanoString GeoMx digital spatial profiling is a new multiplexed platform that quantifies the abundance of tumor‐ and immune‐related proteins in a spatially resolved manner. We performed DSP for the simultaneous assessment of 52 analytes within spatially resolved tissue compartments defined by pa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8732343/ https://www.ncbi.nlm.nih.gov/pubmed/34018684 http://dx.doi.org/10.1002/1878-0261.13017 |
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author | Omilian, Angela R. Sheng, Haiyang Hong, Chi‐Chen Bandera, Elisa V. Khoury, Thaer Ambrosone, Christine B. Yao, Song |
author_facet | Omilian, Angela R. Sheng, Haiyang Hong, Chi‐Chen Bandera, Elisa V. Khoury, Thaer Ambrosone, Christine B. Yao, Song |
author_sort | Omilian, Angela R. |
collection | PubMed |
description | The NanoString GeoMx digital spatial profiling is a new multiplexed platform that quantifies the abundance of tumor‐ and immune‐related proteins in a spatially resolved manner. We performed DSP for the simultaneous assessment of 52 analytes within spatially resolved tissue compartments defined by pan‐cytokeratin expression. We compared protein targets between 94 African American/Black and 65 European American/White cases, tumor and stromal tissue compartments, estrogen receptor alpha (ER)‐positive and ER‐negative cases, and explored potential biomarkers of survival. Of 33 analytes with robust signal for analysis, results were highly replicable. For a subset of markers, correlative analyses between DSP analytes and traditional immunohistochemistry scores revealed moderate to very strong associations between the two platforms. Similarly, DSP analytes and gene expression scores were concordant for 21 of 25 markers with overlap between the two datasets. Several analytes varied by ER status, and across the 25 immune markers surveyed, 14 had a significant inverse association with ER expression. B7 homolog 3 (B7‐H3; encoded by CD276) was the only analyte to show a significant difference by race, being lower in both the tumor and stromal compartments in Black women. DSP markers that were associated with survival included CD8, CD25, CD56, CD127, EpCAM, ER, Ki‐67, and STING. We conclude that DSP is an efficient tool for screening tumor‐ and immune‐related markers in a simultaneous fashion and yields results that are concordant with established immune profiling assays. DSP immune analytes were inversely associated with ER expression, in agreement with a substantial body of previous work that documents higher immune infiltration in ER‐negative breast cancers. This technology revealed that scores of the B7‐H3 protein were significantly lower in breast cancers from Black women compared with White women, an intriguing finding that requires replication in independent and racially diverse female populations. |
format | Online Article Text |
id | pubmed-8732343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87323432022-01-11 Multiplexed digital spatial profiling of invasive breast tumors from Black and White women Omilian, Angela R. Sheng, Haiyang Hong, Chi‐Chen Bandera, Elisa V. Khoury, Thaer Ambrosone, Christine B. Yao, Song Mol Oncol Research Articles The NanoString GeoMx digital spatial profiling is a new multiplexed platform that quantifies the abundance of tumor‐ and immune‐related proteins in a spatially resolved manner. We performed DSP for the simultaneous assessment of 52 analytes within spatially resolved tissue compartments defined by pan‐cytokeratin expression. We compared protein targets between 94 African American/Black and 65 European American/White cases, tumor and stromal tissue compartments, estrogen receptor alpha (ER)‐positive and ER‐negative cases, and explored potential biomarkers of survival. Of 33 analytes with robust signal for analysis, results were highly replicable. For a subset of markers, correlative analyses between DSP analytes and traditional immunohistochemistry scores revealed moderate to very strong associations between the two platforms. Similarly, DSP analytes and gene expression scores were concordant for 21 of 25 markers with overlap between the two datasets. Several analytes varied by ER status, and across the 25 immune markers surveyed, 14 had a significant inverse association with ER expression. B7 homolog 3 (B7‐H3; encoded by CD276) was the only analyte to show a significant difference by race, being lower in both the tumor and stromal compartments in Black women. DSP markers that were associated with survival included CD8, CD25, CD56, CD127, EpCAM, ER, Ki‐67, and STING. We conclude that DSP is an efficient tool for screening tumor‐ and immune‐related markers in a simultaneous fashion and yields results that are concordant with established immune profiling assays. DSP immune analytes were inversely associated with ER expression, in agreement with a substantial body of previous work that documents higher immune infiltration in ER‐negative breast cancers. This technology revealed that scores of the B7‐H3 protein were significantly lower in breast cancers from Black women compared with White women, an intriguing finding that requires replication in independent and racially diverse female populations. John Wiley and Sons Inc. 2021-06-10 2022-01 /pmc/articles/PMC8732343/ /pubmed/34018684 http://dx.doi.org/10.1002/1878-0261.13017 Text en © 2021 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Omilian, Angela R. Sheng, Haiyang Hong, Chi‐Chen Bandera, Elisa V. Khoury, Thaer Ambrosone, Christine B. Yao, Song Multiplexed digital spatial profiling of invasive breast tumors from Black and White women |
title | Multiplexed digital spatial profiling of invasive breast tumors from Black and White women |
title_full | Multiplexed digital spatial profiling of invasive breast tumors from Black and White women |
title_fullStr | Multiplexed digital spatial profiling of invasive breast tumors from Black and White women |
title_full_unstemmed | Multiplexed digital spatial profiling of invasive breast tumors from Black and White women |
title_short | Multiplexed digital spatial profiling of invasive breast tumors from Black and White women |
title_sort | multiplexed digital spatial profiling of invasive breast tumors from black and white women |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8732343/ https://www.ncbi.nlm.nih.gov/pubmed/34018684 http://dx.doi.org/10.1002/1878-0261.13017 |
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