P721. The biological and clinical relevance of anti-metalloproteinase-9 antibody (GS-5745) in treatment of ulcerative colitis patients
Bibliographic record
Abstract
quantification without reference to standards, and it is more sensitive to small changes, compared with the quantitative polymerase chain reaction assay.Simultaneously, gene expression related to mitochondrial energy metabolism was determined using the PCR array.Results: We observed a higher mtDNA copy number in the non-dysplastic mucosa of the UC-Ca group compared with the UC-non-Ca group (484.2 vs 747.7 copies/cell; p = 0.022), as shown in Figure 1.The sensitivity, specificity, positive predictive value, and negative predictive value for the detection of UC-associated adenocarcinoma by mtDNA copy number were 43.8%, 100%, 100%, and 60.9%, respectively.We observed the increased expression of mitochondrial genes related to energy metabolism, together with an increased mtDNA copy number, as shown in the volcano plot of Figure 2 (p < 0.0001, Fisher's exact test).Conclusions: Mitochondrial function and its metabolic process play essential roles in UC carcinogenesis and thus are possible risk markers for the development of colitic cancer. P721The biological and clinical relevance of antimetalloproteinase-9 antibody (GS-5745) in treatment of ulcerative colitis patients
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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 | 0.001 |
| 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".