<i>In Vivo</i> Validation of PAPSS1 (3′-phosphoadenosine 5′-phosphosulfate synthase 1) as a Cisplatin-sensitizing Therapeutic Target
Bibliographic record
Abstract
Abstract Purpose: Our previous screening efforts found that inhibition of PAPSS1 increases the potency of DNA-damaging agents in non–small cell lung cancer (NSCLC) cell lines. Here, we explored the clinical relevance of PAPSS1 and further investigated it as a therapeutic target in preclinical model systems. Experimental Design: PAPSS1 expression and cisplatin IC50 values were assessed in 52 lung adenocarcinoma cell lines. Effects of PAPSS1 inhibition on A549 cisplatin sensitivity under hypoxic and starvation conditions, in 3D spheroids, as well as in zebrafish and mouse xenografts, were evaluated. Finally, the association between PAPSS1 expression levels and survival in patients treated with standard chemotherapy was assessed. Results: Our results show a positive correlation between low PAPSS1 expression and increased cisplatin sensitivity in lung adenocarcinoma. In vitro, the potentiation effect was greatest when A549 cells were serum-starved under hypoxic conditions. When treated with low-dose cisplatin, PAPSS1-deficient A549 spheroids showed a 58% reduction in size compared with control cells. In vivo, PAPSS1 suppression and low-dose cisplatin treatment inhibited proliferation of lung tumor cells in zebrafish xenografts and significantly delayed development of subcutaneous tumors in mice. Clinical data suggest that NSCLC and ovarian cancer patients with low PAPSS1 expression survive longer following platinum-based chemotherapy. Conclusions: These results suggest that PAPSS1 inhibition enhances cisplatin activity in multiple preclinical model systems and that low PAPSS1 expression may serve as a biomarker for platin sensitivity in cancer patients. Developing strategies to target PAPSS1 activity in conjunction with platinum-based chemotherapy may offer an approach to improving treatment outcomes. Clin Cancer Res; 23(21); 6555–66. ©2017 AACR.
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".