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Data from Measurement of Ovarian Tumor Immune Profiles by Multiplex Immunohistochemistry: Implications for Epidemiologic Studies

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Hathaway, CA; Conejo-Garcia, JR; Fridley, BL; Rosner, B; Saeed-Vafa, D; Moran Segura, C; Nguyen, JV; Hecht, JL; Sasamoto, N; Terry, KL ...
November 20, 2023

<div>AbstractBackground:<p>Despite the immunogenic nature of many ovarian tumors, treatment with immune checkpoint therapies has not led to substantial improvements in ovarian cancer survival. To advance population-level research on the ovarian tumor immune microenvironment, it is critical to understand methodologic issues related to measurement of immune cells on tissue microarrays (TMA) using multiplex immunofluorescence (mIF) assays.</p>Methods:<p>In two prospective cohorts, we collected formalin-fixed, paraffin-embedded ovarian tumors from 486 cases and created seven TMAs. We measured T cells, including several sub-populations, and immune checkpoint markers on the TMAs using two mIF panels. We used Spearman correlations, Fisher exact tests, and multivariable-adjusted beta-binomial models to evaluate factors related to immune cell measurements in TMA tumor cores.</p>Results:<p>Between-core correlations of intratumoral immune markers ranged from 0.52 to 0.72, with more common markers (e.g., CD3<sup>+</sup>, CD3<sup>+</sup>CD8<sup>+</sup>) having higher correlations. Correlations of immune cell markers between the whole core, tumor area, and stromal area were high (range 0.69–0.97). In multivariable-adjusted models, odds of T-cell positivity were lower in clear cell and mucinous versus type II tumors (ORs, 0.13–0.48) and, for several sub-populations, were lower in older tissue (sample age > 30 versus ≤ 10 years; OR, 0.11–0.32).</p>Conclusions:<p>Overall, high correlations between cores for immune markers measured via mIF support the use of TMAs in studying ovarian tumor immune infiltration, although very old samples may have reduced antigenicity.</p>Impact:<p>Future epidemiologic studies should evaluate differences in the tumor immune response by histotype and identify modifiable factors that may alter the tumor immune microenvironment.</p></div>

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Publication Date

November 20, 2023
 

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Hathaway, C. A., Conejo-Garcia, J. R., Fridley, B. L., Rosner, B., Saeed-Vafa, D., Moran Segura, C., … Townsend, M. K. (2023). Data from Measurement of Ovarian Tumor Immune Profiles by Multiplex Immunohistochemistry: Implications for Epidemiologic Studies. https://doi.org/10.1158/1055-9965.c.6573889
Hathaway, Cassandra A., Jose R. Conejo-Garcia, Brooke L. Fridley, Bernard Rosner, Daryoush Saeed-Vafa, Carlos Moran Segura, Jonathan V. Nguyen, et al. “Data from Measurement of Ovarian Tumor Immune Profiles by Multiplex Immunohistochemistry: Implications for Epidemiologic Studies,” November 20, 2023. https://doi.org/10.1158/1055-9965.c.6573889.
Hathaway CA, Conejo-Garcia JR, Fridley BL, Rosner B, Saeed-Vafa D, Moran Segura C, et al. Data from Measurement of Ovarian Tumor Immune Profiles by Multiplex Immunohistochemistry: Implications for Epidemiologic Studies. 2023.
Hathaway, Cassandra A., et al. Data from Measurement of Ovarian Tumor Immune Profiles by Multiplex Immunohistochemistry: Implications for Epidemiologic Studies. 20 Nov. 2023. Crossref, doi:10.1158/1055-9965.c.6573889.
Hathaway CA, Conejo-Garcia JR, Fridley BL, Rosner B, Saeed-Vafa D, Moran Segura C, Nguyen JV, Hecht JL, Sasamoto N, Terry KL, Tworoger SS, Townsend MK. Data from Measurement of Ovarian Tumor Immune Profiles by Multiplex Immunohistochemistry: Implications for Epidemiologic Studies. 2023.

DOI

Publication Date

November 20, 2023