Abstract 2421: Combining deep mutational scanning and next-generation protein sequencing to harness dominant protein variants to develop DNA repair inhibitors

Abstract The most clinically effective DNA repair enzyme inhibitors not only inhibit but also convert the target itself into a therapeutic agent. For example, topoisomerase poisons block the completion of the topoisomerase reaction resulting in a genotoxic DNA-protein adduct. Similar mechanisms underlie clinically relevant PARP inhibitors and other emerging DNA repair inhibitors. The challenge is identifying which repair proteins can be converted into gain-of-function therapeutic agents and how to elicit a gain-of-function phenotype. We developed an approach, Mutational Target Mapping, that uses deep mutational scanning to identify dominant missense variants that define structure-function relationships in drug targets that can direct therapeutic development. Dominant missense protein variants can be used to model the behavior of a potential drug to validate mechanisms of action and define genetic dependencies. Combining this platform with benchtop Next-Generation Protein Sequencing on the Quantum-Si Platinum® instrument, we can identify, track, and characterize the phenotypic effects of dominant missense variants in cells and biochemical assays. We applied this approach to several therapeutic targets discovering key residues in orthosteric and allosteric sites that can be mutated to elicit a dominant phenotype. Here, we describe our complementary genetic (high throughput screens) and proteomic (benchtop protein sequencing) approaches to find and model the behavior of therapeutics targeting DNA repair enzymes. Citation Format: Nigel O'Neil, Lina Ma, Anthony Oppedisano, Esteban Lenoir, Philip Hieter, Peter C. Stirling. Combining deep mutational scanning and next-generation protein sequencing to harness dominant protein variants to develop DNA repair inhibitors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2421.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-2421
Primary Topic
PARP inhibition in cancer therapy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 2421: Combining deep mutational scanning and next-generation protein sequencing to harness dominant protein variants to develop DNA repair inhibitors

Peter C. Stirling, Esteban Lenoir, Philip Hieter, Li Ma et al.
Cancer Research
PARP inhibition in cancer therapy
article

Abstract 2421: Combining deep mutational scanning and next-generation protein sequencing to harness dominant protein variants to develop DNA repair inhibitors

Peter C. Stirling, Esteban Lenoir, Philip Hieter, Li Ma, Anthony Oppedisano, Nigel O'Neil
article en

Abstract

Abstract The most clinically effective DNA repair enzyme inhibitors not only inhibit but also convert the target itself into a therapeutic agent. For example, topoisomerase poisons block the completion of the topoisomerase reaction resulting in a genotoxic DNA-protein adduct. Similar mechanisms underlie clinically relevant PARP inhibitors and other emerging DNA repair inhibitors. The challenge is identifying which repair proteins can be converted into gain-of-function therapeutic agents and how to elicit a gain-of-function phenotype. We developed an approach, Mutational Target Mapping, that uses deep mutational scanning to identify dominant missense variants that define structure-function relationships in drug targets that can direct therapeutic development. Dominant missense protein variants can be used to model the behavior of a potential drug to validate mechanisms of action and define genetic dependencies. Combining this platform with benchtop Next-Generation Protein Sequencing on the Quantum-Si Platinum® instrument, we can identify, track, and characterize the phenotypic effects of dominant missense variants in cells and biochemical assays. We applied this approach to several therapeutic targets discovering key residues in orthosteric and allosteric sites that can be mutated to elicit a dominant phenotype. Here, we describe our complementary genetic (high throughput screens) and proteomic (benchtop protein sequencing) approaches to find and model the behavior of therapeutics targeting DNA repair enzymes. Citation Format: Nigel O'Neil, Lina Ma, Anthony Oppedisano, Esteban Lenoir, Philip Hieter, Peter C. Stirling. Combining deep mutational scanning and next-generation protein sequencing to harness dominant protein variants to develop DNA repair inhibitors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2421.

Cancer ResearchVol. 86(7_Supplement)
University of British Columbia (CA)
Good health and well-being
Openalex Percentile: Top 11%
PARP inhibition in cancer therapy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.