Abstract 6402: Associations of sodium glucose cotransporter-2 (SGLT2), metabolic disorders, and survival following incident epithelial ovarian cancer
Bibliographic record
Abstract
Abstract Background: Up to 75% of ovarian cancers will become platinum resistant and survival following the development of resistance is typically less than one year. New therapies with higher curative rates are needed to improve prognosis. There has been increasing interest in inhibitors of sodium glucose cotransporter-2 (SGLT2) in suppressing tumor growth. Use of SGLT2 inhibitors show promise not only due to their ability to inhibit glucose uptake, but also from the subsequent improvements in other metabolic disorders that may affect cancer prognosis. Purpose: We evaluated the associations of tumor SGLT2 protein expression with survival following diagnosis of incident epithelial ovarian cancer (EOC). Methods: Tumor samples were obtained from 492 patients undergoing debulking surgery for primary EOC at Roswell Park Comprehensive Cancer Center between 1995 and 2002. Only incident cases and patients who did not receive neo-adjuvant chemotherapy were included in analyses (n=396). Tissue samples were compiled into tissue microarray blocks that were sectioned, stained, imaged, and analyzed for SGLT2 expression. Data on patient, clinical, and tumor characteristics, along with available information on components of metabolic disorders, were linked to each patient. Multivariate Cox proportional hazards models were performed to determine hazards ratios (HR) and 95% confidence intervals (CI) for EOC-specific and all-cause mortality. Results: In our analysis of 396 EOC patients seen at Roswell Park, we observed significant associations between high SGLT2 expression and decreased risk of both EOC-specific (HR: 0.68; 95% CI: 0.49-0.94) and all-cause mortality (HR: 0.71; 95% CI: 0.53-0.95). In particular, among those with advanced-stage tumors, there was a significant association between high SGLT2 expression and lower risk of EOC-specific (HR: 0.61; 95% CI: 0.42-0.91) and all-cause mortality (HR: 0.64; 95% CI: 0.45-0.90). A lower risk of all-cause mortality was observed among those with high-grade tumors (HR: 0.69; 95% CI: 0.48-0.98). Trends of increasing SGLT2 associated with decreased risk of mortality varied by histological subtype. The inverse association between high SGLT2 and EOC-death was stronger among those with a history of hyperlipidemia (HR: 0.46; 95% CI: 0.19-0.99) and obesity (HR: 0.43; 95% CI: 0.23-0.82) compared to other metabolic syndrome components. These associations were less robust for all-cause mortality. Conclusion: Contrary to our initial hypothesis, higher SGLT2 expression among EOC patients may be associated with more favorable prognosis. This association may be stronger for high grade and advanced stage tumors as well as non-serous subtypes. Identifying other factors associated with levels of expression could aid in the development of potential screening interventions and more personalized treatment. Citation Format: Jennifer M. Mongiovi, Jo L. Freudenheim, Jeff C. Miecznikowski, Susan E. McCann, Ashley E. Stenzel, Wiam Bshara, Agnieszka Witkiewicz, Leighton Stein, Lisa D. Kellenberger, Ahmad Al Sulimani, Kirsten B. Moysich. Associations of sodium glucose cotransporter-2 (SGLT2), metabolic disorders, and survival following incident epithelial ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 6402.
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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 | 0.000 |
| 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 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".