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SLFN11 captures cancer-immunity interactions associated with platinum sensitivity in high-grade serous ovarian cancer
Claudia Winkler, … , Elisabetta Leo, Gabriele Zoppoli
Claudia Winkler, … , Elisabetta Leo, Gabriele Zoppoli
Published September 22, 2021
Citation Information: JCI Insight. 2021;6(18):e146098. https://doi.org/10.1172/jci.insight.146098.
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Research Article Cell biology Oncology

SLFN11 captures cancer-immunity interactions associated with platinum sensitivity in high-grade serous ovarian cancer

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Abstract

Large independent analyses on cancer cell lines followed by functional studies have identified Schlafen 11 (SLFN11), a putative helicase, as the strongest predictor of sensitivity to DNA-damaging agents (DDAs), including platinum. However, its role as a prognostic biomarker is undefined, partially due to the lack of validated methods to score SLFN11 in human tissues. Here, we implemented a pipeline to quantify SLFN11 in human cancer samples. By analyzing a cohort of high-grade serous ovarian carcinoma (HGSOC) specimens before platinum-based chemotherapy treatment, we show, for the first time to our knowledge, that SLFN11 density in both the neoplastic and microenvironmental components was independently associated with favorable outcome. We observed SLFN11 expression in both infiltrating innate and adaptive immune cells, and analyses in a second, independent, cohort revealed that SLFN11 was associated with immune activation in HGSOC. We found that platinum treatments activated immune-related pathways in ovarian cancer cells in an SLFN11-dependent manner, representative of tumor-immune transactivation. Moreover, SLFN11 expression was induced in activated, isolated immune cell subpopulations, hinting that SLFN11 in the immune compartment may be an indicator of immune transactivation. In summary, we propose SLFN11 is a dual biomarker capturing simultaneously interconnected immunological and cancer cell–intrinsic functional dispositions associated with sensitivity to DDA treatment.

Authors

Claudia Winkler, Matthew King, Julie Berthe, Domenico Ferraioli, Anna Garuti, Federica Grillo, Jaime Rodriguez-Canales, Lorenzo Ferrando, Nicolas Chopin, Isabelle Ray-Coquard, Oona Delpuech, Darawan Rinchai, Davide Bedognetti, Alberto Ballestrero, Elisabetta Leo, Gabriele Zoppoli

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Figure 2

SLFN11 protein levels in HGSOC and their correlation with TILs.

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SLFN11 protein levels in HGSOC and their correlation with TILs.
(A) Corr...
(A) Correlogram of TILs and SLFN11 H-scores, assessed in overall, cancer, and noncancer cells. In the lower triangle of the graph, boxes represent pairwise correlations colored by direction (blue for negative correlations and red for positive ones) and strength (intensity of shading) of the correlation itself. In the upper triangle, circles use the same scaled colors, but fill an area proportional to the absolute value of the correlation, and are filled clockwise for positive values, counterclockwise for negative values. (B and C) Scatterplots representing total CD3+ cells (B) and total CD8+ cells (C) — (y axes, cells/mm) as a function of SLFN11 H-score in noncancer cells (x axis); ρ is the Spearman’s correlation coefficient; the least squares regression are represented by the red lines, whereas dots are measurements of immune cell counts by H-scores in individual samples. (D) Representative images of SLFN11 IHC in HGSOC specimens. Left, stroma SLFN11hi and tumor SLFN11lo; right, stroma and tumor SLFN11hi, for the indicated cancers. The images highlight nuclear SLFN11 protein localization in tumor cells and different stromal cell subtypes. Scale bars: 50 μm.

Copyright © 2023 American Society for Clinical Investigation
ISSN 2379-3708

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