Up-Regulation of Peroxiredoxin 1 in Lung Cancer and Its Implication as a Prognostic and Therapeutic Target
Bibliographic record
Abstract
PURPOSE: Peroxiredoxin 1 and 2 are highly homologous members of the Prx (or Prdx) protein family. Prx1 and Prx2 are elevated in several human cancers, and this seems to confer increased treatment resistance and aggressive phenotypes. This study was undertaken to examine the expression profiles of Prx1 and Prx2 in non-small cell lung cancer (NSCLC), and to test their prognostic value in predicting patient survival. EXPERIMENTAL DESIGN: To gain insight into the regulatory mechanisms of Prx1 and Prx2 expression in NSCLC, their respective transcript profiles were examined in NSCLC cell lines from the NCI-60 panel Affymetrix database sets, and the promoter compositions of the two genes were investigated using computer-based multiple sequence alignment analyses. Immunohistochemical analyses of Prx1 and Prx2 were done on a total of 235 NSCLC specimens with stage I through IV disease. The expression profiles of Prx1 and Prx2 in tumor specimens, and their associations with survival, were investigated. RESULTS AND CONCLUSION: The levels of prx1 transcript were higher than those of prx2 in NSCLC cell lines, and the upstream regulatory sequences of the two genes display striking differences. The relative risk of death increased as Prx1 expression levels increased (P = 0.036) in a multivariate Cox model, independent of other clinicopathologic variables associated with survival. No statistically significant correlation was observed between Prx2 and survival. These results suggest that Prx1 may possess unique functions and regulatory mechanisms in NSCLC which are not shared with Prx2, and that Prx1 may serve as a new prognostic biomarker and therapeutic target in NSCLC.
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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) | 0.001 | 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".