Abstract A006: Defining the microenvironment of alveolar soft part sarcoma & it’s role in therapeutic outcomes
Bibliographic record
Abstract
Abstract Alveolar soft part sarcoma (ASPS) is a rare pediatric malignancy which has characteristically poor clinical outcomes due to a propensity to metastasize along with a complete lack of chemotherapeutic options. One additional difficulty of this rare tumor is an absence of established in vivo models. Here, we describe the establishment of a patient derived xenograft model (PDX), and corresponding cell line, from the lung metastases of a 14-year-old female diagnosed with ASPS. Using this model, we performed a drug screen, from which the proteasome inhibitor carfilzomib inhibited tumor cell viability and growth in vitro and in vivo. To further elucidate factors implicated in tumor progression and chemotherapy resistance, we characterized the microenvironment and secretome of the ASPS PDX. In keeping with recent literature showing large numbers of tumor associated macrophage (TAMs) in ASPS, we found that 96% of the myeloid cells present in the PDX were TAMS, with 35% taking on a pro-tumor phenotype. Further, factors secreted by the tumor microenvironment largely support immune cell recruitment and pro-tumor phenotypes. Interestingly, in vivo assessment demonstrates that Iba1+ macrophage populations decrease by 60% with carfilzomib treatment. This prompted investigation into the potential impact of TAMs on ASPS growth and progression, and if they are implicated in the therapeutic response to carfilzomib. Based on preliminary findings that carfilzomib targets the pro-tumor phenotypic states of bone marrow derived macrophage in vitro, we hypothesize that carfilzomib alters the recruitment and phenotype of TAMs, decreasing tumor cell viability in vitro, and thus tumor burden in vivo. Citation Format: Alexis M. Philippot, Ngoc Ha Dang, Shyam V. Menon, Jennifer Bourdage, Xueqing Lun, Bo Young Ahn, Stephen M. Robbins, Donna L. Senger. Defining the microenvironment of alveolar soft part sarcoma & it’s role in therapeutic outcomes [abstract]. In: Proceedings of the AACR Special Conference: Sarcomas; 2022 May 9-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(18_Suppl):Abstract nr A006.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".