Heterogeneity in Nectin-4 expression across molecular subtypes of urothelial cancer mediates sensitivity to enfortumab vedotin.
Bibliographic record
Abstract
463 Background: Enfortumab vedotin (EV) is an antibody-drug conjugate (ADC) targeting Nectin-4 (encoded by the PVRL4/NECTIN4 gene ) approved for treatment-refractory metastatic urothelial cancer. Factors that mediate sensitivity or resistance to EV are unknown. In the present study, we sought to 1) examine heterogeneity of NECTIN4 gene expression across molecular subtypes of bladder cancer and 2) determine if Nectin-4 expression mediates EV sensitivity or resistance. Methods: NECTIN4 expression data from seven muscle-invasive bladder cancer clinical cohorts (n = 1912 total patients) were used to compare relative NECTIN4 expression across molecular subtypes. The outcome of the gene expression analysis was relative NECTIN4 expression in the consensus molecular subtypes of bladder cancer. Expression of NECTIN4 was validated in multiple bladder cancer cell lines. NECTIN4 was stably over-expressed or knocked down in basal (TCCSUP and UMUC-3) and luminal (HT-1376, HT-1197 and UMUC-9) bladder cancer cell lines, respectively, and EV dose-response assays were performed, as measured by cell proliferation and clonogenic assays. Results: NECTIN4 expression is heterogenous across molecular subtypes of bladder cancer and significantly enriched in luminal subtypes (p < 0.001). NECTIN4 expression is positively correlated with the luminal markers GATA3, FOXA1, and PPARG across cohorts (Spearman’s rank correlation r = 0.57, p < 0.0001 for GATA3, r = 0.37, p < 0.0001 for FOXA1, and r = 0.56, p < 0.0001 for PPARG). NECTIN4 expression is both necessary and sufficient for EV sensitivity in luminal and basal subtypes of urothelial bladder cancer cells. Downregulation of NECTIN4 led to EV resistance, and EV-resistant cell lines expressed decreased levels of Nectin-4. Conclusions: Results of this pre-clinical study suggest that sensitivity to EV is mediated by expression of NECTIN4, which is significantly enriched in luminal subtypes of bladder cancer. Downregulation of NECTIN4 leads to resistance to EV. These findings have implications for biomarker development, patient selection and the inclusion of molecular subtyping in ongoing and future EV clinical trials. Further investigation into Nectin-4 loss as a mechanism of resistance in patients treated on EV is warranted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".