PBRM1 deficiency in cancer is synthetic lethal with DNA repair inhibitors
Bibliographic record
Abstract
Polybromo 1 (PBRM1), a subunit of the PBAF chromatin-remodeling complex, is recurrently inactivated in cancer. To uncover novel synthetic lethal (SL) approaches for targeting PBRM1-defective cancers, we used a series of orthogonal functional genomic screens which identified SL between PBRM1 deficiency and inhibition of PARP1. This effect was elicited with clinical PARP inhibitors in vitro and in vivo and also operated when PARP inhibitors were combined with ATR inhibitors. These SL effects were characterized by pre-existing replication stress in PBRM1-defective cells and an increase in R-loops, micronuclei and tumor cell-autonomous cGAS/STING signaling in response to PARP inhibitors. Quantitative mass spectrometry indicated that PBRM1-defective cells exhibited downregulation of multiple R-loop processing factors, and exogenous expression of the R-loop resolution enzyme RNase H1 partially reversed PARP inhibitor sensitivity, providing a mechanistic rationale for the SL effects. Our data provide the preclinical basis for using PARP inhibitors in PBRM1-defective cancers.
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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".