Abstract 4468: Tumor-derived extracellular vesicles transmit retroelement and pericentromeric RNAs to drive proinflammatory and DNA damage responses in stromal fibroblasts and immune cells
Bibliographic record
Abstract
Abstract Chronic cancer-associated inflammation and immunosuppression are common features in most patients with solid malignancies. The causes of this chronic inflammatory-immunosuppressive state are still largely undefined. We hypothesized that selective RNAs can be secreted by cancer cells in extracellular vesicles (EVs) and may trigger proinflammatory responses in target cells, leading to chronic inflammation linked to immune cell dysfunction and immunosuppression. We found that tumor cell lines from pancreatic ductal adenocarcinoma (PDAC), prostate cancer (PCa) and from pediatric cancer such as Ewing sarcoma (EwS) continuously secrete large numbers of small (40-200 nm) EVs. In contrast to non-transformed fibroblasts, cancer cell-derived EVs are enriched with large subsets of retroelement and pericentromeric transcripts, including LINE, SINE and HERV retroelements, and human satellite 2 and 3 (HSAT2,3) RNAs. These virus-like RNAs were highly elevated in plasma EVs from EwS patients but not in healthy donors. Some of them, including HERV-K and HSAT2, were detected in peripheral blood myeloid cells with CD33+HLA-DR− immunosuppressive phenotypes, and these cell populations were expanded in EwS patients compared to healthy donors. Using mouse xenografts and in vitro models, we also found that at least some of these RNAs, such as HSAT2, are transmitted to stromal fibroblasts and immune cells in the tumor microenvironment. They also accumulated in fibroblasts after treatment with EwS EVs, coincident with the induction of proinflammatory and DNA damage responses. Prolonged exposure of fibroblasts to EwS EVs also led to mitotic defects and senescence. Expression and dissemination of these highly immunogenic virus-like RNAs in EVs may thus be a common feature of multiple human malignancies, potentially affecting host cells in the local and systemic tumor environment. This, in turn, may induce chronic inflammation contributing to an overall immunosuppressed state in patients. Citation Format: Valentina Evdokimova, Peter Ruzanov, Hendrik Gassmann, Lincoln D. Stein, Poul H. Sorensen, Stefan Burdach, Laszlo Radvanyi. Tumor-derived extracellular vesicles transmit retroelement and pericentromeric RNAs to drive proinflammatory and DNA damage responses in stromal fibroblasts and immune cells. [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 4468.
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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 | 0.000 | 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 | 0.000 |
| 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".