NIMG-50. DEUTERIUM METABOLIC IMAGING OF THE ALTERNATIVE LENGTHENING OF TELOMERES PATHWAY REPORTS ON TUMOR BURDEN AND PSEUDOPROGRESSION IN LOW-GRADE GLIOMAS
Bibliographic record
Abstract
Abstract Glioma patient management relies heavily on magnetic resonance imaging (MRI). However, MRI is often inadequate for assessment of tumor burden and pseudoprogression. Non-invasive methods that report on molecular pathways such as telomere maintenance that drive tumor proliferation are needed. Among brain tumors, low-grade astrocytomas (LGAs) use the alternative lengthening of telomeres (ALT) pathway for telomere maintenance. The goal of this study was to identify ALT-linked metabolic alterations that can be exploited for non-invasive magnetic resonance spectroscopy (MRS)-based imaging of LGAs. We examined the patient-derived BT257 model and compared neurospheres that are ALT-dependent (BT257 ALT+) with those in which the ALT pathway has been silenced (BT257 ALT-). Our studies suggest that expression and activity of the rate-limiting glycolytic enzyme phosphofructokinase-1 are significantly higher in BT257 ALT+ neurospheres relative to ALT-, an effect that is associated with elevated glucose flux to lactate. Studies indicate that poly(ADP-ribose) polymerase inhibitors such as niraparib selectively induce telomeric fusion and cell death in ALT-dependent cells. We find that the telomeric fusion-mediated cytotoxicity of niraparib is associated with significantly reduced glycolytic flux in BT257 ALT+ neurospheres. We then examined whether 2H-MRS using [6,6’-2H]-glucose, which is a clinically translatable method of imaging glycolytic flux, can be used to monitor the ALT pathway in vivo. [6,6’-2H]-glucose flux to lactate is elevated in tumor relative to normal brain in mice bearing orthotopic BT257 tumors. Importantly, following treatment of BT257 tumor-bearing mice with niraparib, lactate production from [6,6’-2H]-glucose is significantly reduced at early timepoints when alterations in tumor volume cannot be observed by MRI, pointing to the ability of [6,6’-2H]-glucose to report on pseudoprogression in vivo. Collectively, our studies mechanistically link the ALT pathway with elevated glycolytic flux via phosphofructokinase-1 and identify deuterium metabolic imaging as a novel, non-invasive method of imaging tumor burden and treatment response in LGAs in vivo.
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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".