1156 STING activation in sarcoma: assessing translational therapeutic strategies
Bibliographic record
Abstract
Background Undifferentiated pleomorphic sarcoma (UPS) is a highly aggressive and metastatic soft tissue sarcoma that is resistant to most conventional systemic therapies and immunotherapies.1–5 Activation of the STimulator of INterferon Genes (STING) pathway is an emerging immunotherapeutic strategy that can be used to recruit effector lymphocytes into the TME to induce tumour eradication.6–9 In a murine model of UPS, we have demonstrated that intra-tumoural (i.t.) administrations of a murine-specific STING agonist, DMXAA, results in profound immune mediated tumour clearance.10 The objective of this study is to evaluate the anti-tumour potential of three STING agonists that can activate both murine and human STING receptors as monotherapies and in combination with immune checkpoint blockade (ICB) therapy in a murine model of UPS to assess translational feasibility. Methods Immune competent mice were orthotopically engrafted with a syngeneic murine UPS cell line in the hindlimb muscle. UPS bearing mice in the monotherapy groups were treated with a single i.t. dose of 1) CDN, 2) MSA-2, 3) E7766 or 4) DMXAA. Mice treated in combination with ICB therapy received monoclonal anti-PD1 in addition to a single dose of CDN, MSA-2, or DMXAA. Tumour volume measurements and bioluminescence were measured over time. Surviving mice were re-challenged with UPS in the contralateral limb. Flow cytometry and transcriptomics were completed 24hrs, 72hrs, and 1-week after STING monotherapy treatment. Results Unlike DMXAA, monotherapy with CDN or MSA-2 failed to eradicate UPS tumours. Survival studies with E7766 have shown UPS clearance in 18-40% of E7766 treated mice. 100% of the surviving E7766 and DMXAA treated mice completely rejected the re-challenge inoculation of UPS cells. Immune profiling of CDN, MSA-2, and DMXAA treated tumours at multiple timepoints post-treatment showed similar inflammatory changes and increased lymphocytic infiltration. STING+ICB therapy significantly improved survival outcomes in CDN+ICB treated tumours, as 14% of CDN+ICB treated mice eradicated their UPS tumours. In DMXAA monotherapy and DMXAA+ICB combination therapy, there were no significant differences in survival. Unfortunately, there were no survivors in the MSA-2+ICB group, but survival was significantly extended compared to MSA-2 monotherapy. Conclusions STING activation is a promising immunotherapeutic strategy for UPS. We have demonstrated that the human and murine compatible STING agonist, E7766, can be used to elicit immune mediated UPS clearance and adaptive immune protection against UPS re-challenge. Ultimately, this study demonstrates the potential opportunity for clinical translation of STING as an immunotherapy for UPS which could significantly improve outcomes for this patient demographic. References Vodanovich DA, MC PF. Soft-tissue sarcomas. Indian J Orthop 2018;52(1):35–44. Hoffmann D, et al. Evaluation of twenty human adenoviral types and one infectivity-enhanced adenovirus for the therapy of soft tissue sarcoma. Hum Gene Ther 2007;18(1):51–62. Steen S, Stephenson G. Current treatment of soft tissue sarcoma. Proc (Bayl Univ Med Cent) 2008;21(4):392–6. Tawbi HA, et al. Pembrolizumab in advanced soft-tissue sarcoma and bone sarcoma (SARC028): a multicentre, two-cohort, single-arm, open-label, phase 2 trial. The Lancet Oncology 2017;18(11):1493–1501. Paoluzzi L, et al. Response to anti-PD1 therapy with nivolumab in metastatic sarcomas. Clinical sarcoma research 2016;6(1):1–7. Corrales L, et al. Direct activation of STING in the tumor microenvironment leads to potent and systemic tumor regression and immunity. Cell reports 2015;11(7):1018–1030. Sivick KE, et al. Magnitude of therapeutic STING activation determines CD8+ T cell-mediated anti-tumor immunity. Cell reports 2018;25(11):3074–3085.e5. Pan B-S, et al. An orally available non-nucleotide STING agonist with antitumor activity. Science 2020;369(6506). Huang, K-C, et al. Discovery and characterization of E7766, a novel macrocycle-bridged STING agonist with pan-genotypic and potent antitumor activity through intravesical and intratumoral administration. 2019, AACR. Marritt K, et al. Sting activation as an immunotherapeutic strategy for soft-tissue sarcoma. In orthopaedic proceedings. 2021. The British Editorial Society of Bone & Joint Surgery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".