Elevated Expression of Hypoxanthine Guanine Phosphoribosyltransferase within Malignant Tissue
Bibliographic record
Abstract
Hypoxanthine Guanine Phosphoribosyltransferase (HPRT) is a housekeeping enzyme involved in the purine synthesis of guanine and inosine in the salvage pathway. While other salvage pathway enzymes, such as TK1, have been established as biomarkers for both cancer cell proliferation and cancer development, little research been done to evaluate whether HPRT has the same potential as a cancer biomarker. We designed this study to determine if HPRT has value as an identifier of malignancy within the most common types of cancer. We utilized histological samples from lung, colon, prostate, and breast cancer with additional normal tissue to evaluate whether there was any elevation of HPRT within malignant samples. In addition, we also assessed general HPRT expression within patient’s samples from The Cancer Genome Atlas (TCGA) to confirm clinical relevance. We found that within a subset of patients, there was significant elevation of HPRT when compared to normal tissue controls. This elevation was seen in 33-55% of the malignant samples and appears to have no dependence on cancer stage. There were slight differences in staining patterns among all the organ types, but overall each organ displayed the same pattern of ‘HPRT high’ and ‘HPRT low’ populations within malignant samples. We found that in our TCGA samples, there was a similar elevation of HPRT that was significant when compared to normal controls. Overall, as an upregulated enzyme that does not directly correlate with stage, HPRT could become a valuable marker in the early diagnosis of a variety of solid tumors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".