999 Investigating the immunomodulatory role of innate lymphoid cells in epithelial ovarian carcinoma
Bibliographic record
Abstract
<h3>Background</h3> Innate lymphoid cells (ILCs) are an emerging family of effector cells that mostly reside within non-lymphoid peripheral tissues and orchestrate innate and adaptive immunity in response to infections.<sup>1</sup> ILCs play an important role in cancer including its ability to directly kill cancer cells and promote anti-tumour immunity within the tumour microenvironment (TME).<sup>2</sup> In addition to these classical pro-inflammatory functions of ILCs, our group and others have identified a subset of immunoregulatory ILCs (ILCregs) in various diseases including cancer.<sup>3</sup> We previously found a CD56<sup>+</sup> ILCreg population that suppressed T cells in slow growing ex vivo tumour-infiltrating lymphocyte (TIL) cultures.<sup>4</sup> The objective of this study is to identify markers that distinguish immunoregulatory and non-immunoregulatory ILCs straight from primary tumours and uncover its role within the TME of epithelial ovarian carcinoma (EOC). <h3>Methods</h3> Women with suspected EOC were recruited and consented pre-operatively at the Gynecology Cancer Clinic at Princess Margaret Hospital. Surgical resections were processed and analyzed by flow cytometry and single-cell RNA sequencing (scRNA-seq). In vitro stimulation of peripheral blood CD56<sup>+</sup> ILCs were performed over 7 days in IL-15 with 50% ascites supernatant. <h3>Results</h3> We identified subsets of intratumoural ILCs including ILC1s, ILC2s, ILC3s, and CD56<sup>+</sup> ILCs within lineage negative populations. Interestingly, a population of CD56<sup>+</sup> GZMB<sup>-</sup> ILCs exhibited distinct tissue-resident-like properties including expression of tissue-retention marker CD69 and reduced expression of tissue-egress marker CD49e. Interestingly, transcriptomic profile of CD56<sup>+</sup>GZMB<sup>-</sup>CD49e<sup>-</sup> ILCs from our scRNA-seq dataset (n=3) had similar gene expression as intraepithelial ILC1s (ieILC1) from other studies.<sup>5</sup> These ieILC1-like cells were associated with poor recurrent free survival and reduced granzyme B expression in CD8+ TILs. Moreover, ieILC1-like phenotypes can be induced from peripheral blood CD56+ cells using ascites supernatant from patients with EOC. Finally, ieILC1-like cells from primary tumours expressed gene signatures that have been previously upregulated in ILCregs and regulatory T cells (Tregs), suggesting that these populations may have immunoregulatory properties. Ongoing work is being done to identify whether ieILC1-like cells directly suppress T cells in vitro, and uncover mechanisms of immunosuppression. <h3>Conclusions</h3> Our findings suggest that ieILC1-like CD56+ cells are negatively associated with prognosis of EOC and may play a unique role in modulating the tumour microenvironment. Further investigation into the biology of ILCs in human tumours may provide novel therapeutic targets for ovarian carcinoma and beyond. <h3>References</h3> Sonnenberg GF, Artis D. Innate lymphoid cells in the initiation, regulation and resolution of inflammation. <i>Nat Med</i> 2015;<b>21</b>:698–708. Jacquelot N, Seillet C, Vivier E, Belz GT. Innate lymphoid cells and cancer. <i>Nat Immunol</i>. 2022; <b>23</b>: 371–379. Chung DC, Jacquelot N, Ghaedi M, Warner K, Ohashi PS. Innate lymphoid cells: Role in immune regulation and cancer. <i>Cancer</i>. 2022; <b>14</b>(9): 2071. Crome SQ, Nguyen LT, Lopez-Verges S, Yang SYCC, Martin B, Yam JY, Johnson DJ, Nie J, Pniak M, Yen PH, <i>et al</i>. A distinct innate lymphoid cell population regulates tumor-associated T cells. <i>Nat Med</i> 2017; <b>23</b>: 368–375. Collins PL, Cella M, Porter SI, Li S, Gurewitz GL, Hong HS, Johnson P, Oltz EM, Colonna M. Gene regulatory programs conferring phenotypic identities to human NK cells. <i>Cell</i>. 2019;<b>176</b>: 348–360. <h3>Ethics Approval</h3> This study was conducted according to principles in the Declaration of Helsinki. The Research Ethics Board (REB) of the University Health Network (UHN) approved of this study. Fresh tissue was prepared from pre-operatively consented patients with EOC who were undergoing standard-of-care surgical procedures (UHN REB 10-0335).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".