PS2 - 201 Bone Marrow-Derived Mesenchymal Stem Cells-Mediated Radioresistance in Glioma
Bibliographic record
Abstract
Ionizing radiation (IR) is one of the conventional post-surgical treatments for Glioblastoma Multiforme (GBM). Mesenchymal stem cells (MSCs) constitute a subpopulation of bone marrow derived cells which are actively recruited to the site of radiation and/or tumour microenvironment (TME), both of which have important implications for neovascularization and tumor progression. The goal of this project is to investigate the functional contribution of MSCs in the TME. We postulate that Bone Marrow-MSCs promote radio-resistance in GBM via cell cycle arrest. We tested the effect of MSC on U87 glioblastoma cell line in response to IR. We found that MSC co-culture, MSC-conditioned media (MSCCM) and irradiated MSC-conditioned media (MSCIRCM) did not reduce IR-induced p53 (ser15) phosphorylation, signifying intact p53-dependent DNA damage pathway in all conditions. However, both MSCCM and MSCIRCM temporally increased phospho-Chk2, a kinase involved in ATM-dependent cascade and cell cycle arrest. This increase occurred at 24 hours and reverted to baseline levels by 48 hours. Interestingly, IR (15Gy) caused transiently heightened metabolic rate under MSC and MSC IRCM as opposed to IR-null treatment at 48 hours elevated cell proliferation. MSCCM, but not MSCIRCM, marginally reduced caspase 3/7-dependent apoptotic levels. The combination of IR and MSCCM as well as MSCIRCM first increased protein level of phospho-Chk2 at 24 hours; followed by increased metabolic rate at 48 hours; and lastly, boosted proliferation at 72 hours. This data combined proposes plausible machinery for BM-MSC mediated radio-resistance by initiating cell cycle arrest in tumour cells for DNA damage repair.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".