Abstract 4336: Human mesodermal-derived CNS metastasis-associated stromal cells induce a fibrotic response to limit tumor growth
Bibliographic record
Abstract
Abstract Metastasis to the central nervous system (CNS) remains a major cause of mortality and morbidity in patients with systemic cancer. However, the mechanistic interactions of the neural niche with disseminated tumors cells in CNS metastases (CM) are still poorly understood. To better understand the cross-talk between the neural niche and metastatic tumors, we generated five different patient-derived cell lines (PDCs) originating from surgically resected CM. To assess the genetic and epigenetic characteristics of each PDC, DNA and RNA sequencing, and DNA methylation analysis was performed. Non-tumoral PDCs revealed normal copy number profiles, and retention of germline mutations as seen in patient-matched germline DNA. In contrast, one PDC (CM04) resembled its patient tumor, showing numerous copy number and somatic alterations. RNA-seq and DNA methylation analysis demonstrated that non-tumoral PDCs highly resembled each other, suggestive of a common cell of origin. Additionally, PDCs revealed gene expression signatures associated with cancer associated fibroblasts, epithelial to mesenchymal transition, and mesenchymal stem cells. Further in vivo studies demonstrated that CM04 cells were tumorigenic, whereas non-tumoral PDC (CM08) cells were unable to form tumors in mice. However, CM04:CM08 mixed tumors were significantly smaller than CM04 only tumors and revealed induction of a fibrotic response by immunohistochemistry. These data offer the first evidence that CNS metastasis-associated stromal cells (cMASCs) produce a collagen and fibronectin-rich extracellular matrix constituting a protective host response, which impedes growth of tumor cells. The therapeutic potential of these cells merits further exploration. Citation Format: Christophe Legendre, Gerald C. Gooden, Kyle N. Johnson, Rae Anne Martinez, Mark Bernstein, Jennifer Glen, Jeffrey Kiefer, Aleksander Hinek, Steven A. Toms, Bodour Salhia. Human mesodermal-derived CNS metastasis-associated stromal cells induce a fibrotic response to limit tumor growth [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4336. doi:10.1158/1538-7445.AM2017-4336
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.003 | 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".