Abstract 3434: Selective glucocorticoid receptor modulation reveals a new role for CLEC10A in patients with solid tumors
Bibliographic record
Abstract
Abstract Selective glucocorticoid receptor (GR) modulators (SGRMs) represent a clinically validated mechanism of enhancing chemosensitivity and ameliorating the sequelae of hypercortisolism. While GRs reportedly control the expression of up to 20% of the human genome, specific targets of systemic GR antagonism in humans have yet to be identified. To address this question, we established a robust NanoString assay to measure candidate GR target genes in human blood and assessed them before and after therapy with the oral SGRM relacorilant, which selectively antagonizes the GR. In a randomized, controlled phase 2 study in patients with recurrent, platinum-resistant ovarian cancer (NCT03776812), gene changes were assessed in 139 patients after treatment with relacorilant + nab-paclitaxel (NP) or NP alone. Using cross-validated random forest methods, a gene panel that accurately identified patients who had received relacorilant was established (ROC AUC 0.945 +/- 0.038). In 13 patients who crossed over from NP alone to relacorilant + NP, the genes in the panel were modified only after crossover (paired t-test P=0.0003), validating the gene panel’s ability to detect GR activity. The 4 most induced (LILRB4, FPR3, CLEC10A, CCR2) and 4 most suppressed (CDKN1C, TNFRSF17, BRIP1, PDK1) genes by relacorilant + NP vs. NP alone were selected and shown to be reliable indicators of GR activity across clinical studies in patients with pancreatic, prostate, and other solid tumors (NCT04329949, NCT03674814, NCT02762981), independent of concomitant medications or other confounders. CLEC10A (C-type lectin domain containing 10A) was identified as a particularly sensitive marker of GR activity as its expression was strongly suppressed by the GR agonist prednisone in healthy volunteers (paired t-test P<0.00010, NCT03335956) and strongly induced by relacorilant in patients with solid tumors (paired t-test P<0.00010). CLEC10A induction in blood by relacorilant was associated with longer overall survival in patients with ovarian cancer treated with relacorilant + NP (HR=0.39, Cox PH P=0.0135). High baseline tumor CLEC10A expression was also associated with longer overall survival in a large tumor ‘omics’ database (N=1656 ovarian tumors; HR 0.8, log-rank P=0.0008). CLEC10A and the genes correlated with its expression were found to be primarily expressed by a specific subset of dendritic cells, supporting previous reports that GR agonism can suppress dendritic cells. This analysis of CLEC10A and other identified GR target genes confirmed that systemic GR activity in patients with a range of solid tumors can be modulated pharmacologically, indicates that GR modulation may be associated with survival in patients with ovarian cancer, and provides new insights into the systemic functions of the GR in humans. Citation Format: Nicoletta Colombo, Toon Van Gorp, Ursula A. Matulonis, Ana Oaknin, Rachel N. Grisham, Diane Provencher, Gini F. Fleming, Alexander B. Olawaiye, Erkut H. Borazanci, Russell Z. Szmulewitz, Subhagya A. Wadekar, Grace Mann, Hazel J. Hunt, Andrew E. Greenstein, Domenica Lorusso. Selective glucocorticoid receptor modulation reveals a new role for CLEC10A in patients with solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3434.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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".