Abstract 88P
Background
Poly(ADP-ribose) polymerase (PARP) plays a crucial role in DNA repair pathways. PARP trapping induced by PARP inhibitors (iPARPs) leads to replication fork collapse, resulting in clinically relevant cytotoxicity. Therefore, the aim of this study is to describe the potential impact of PARP mutations on interaction with iPARPs.
Methods
The study design involved molecular docking simulations between iPARPs (olaparib, rucaparib, and niraparib) and PARP using Autodock Vina. We reviewed PARP mutations in the COSMIC database and predicted the pathogenicity of mutations near the interaction residues of PARP with the identified iPARPs from the molecular docking.
Results
The amino acids may be related to the interaction of olaparib (Lysine703, Arginine704, Glutamate642, Leucine641, Alanine555, Tryptophan626), niraparib (Alanine555, Tryptophan626, Lysine551, Valine552, Serine554, Glycine530), and rucaparib (Arg878, Aspartate770, Aspartate766, Glutamine759, Glycine888, Tyrosine907) with PARP. In the database, 867 mutations for PARP1 are reported. Among the amino acid residues identified for interaction with olaparib, only the mutation at amino acid 555 (Alanine555Valine) was reported. Regarding niraparib binding sites, mutations were found in amino acids 551 (Lysine551Arginine) and 626 (Tryptophan626Leucine). For Rucaparib, mutations were identified in amino acids 759 (Glutamine759Proline), 766 (Aspartic Acid766Asparagine), 878 (Arginine878Tryptophan), and 888 (Glycine888Aspartic Acid).
Conclusions
Amino acids and their mutations that could be involved in the interaction of olaparib, rucaparib, and niraparib with PARP were identified. Recognizing fewer mutations interacting with olaparib and a greater number interacting with the other PARP inhibitors, olaparib has demonstrated superiority in patients with recurrent disease and BRCA mutations sensitive to platinum. However, prospective studies comparing different PARP inhibitors are needed. Our findings highlight the importance of PARP1 interaction with inhibitors in conferring intrinsic resistance with this new therapy. Further study and supplementation of PARP1 mutation databases are necessary to understand their impact on functionality and determine clinical implications.
Editorial acknowledgement
Clinical trial identification
Legal entity responsible for the study
J.F. Diaz Acosta.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
105P - Subsequent treatments after progression on cyclin-dependent kinase 4/6 inhibitors: A multicentric real-world data study
Presenter: Ana Rita Freitas
Session: Cocktail & Poster Display session
Resources:
Abstract
106P - Toxicity profile antibody-drug conjugates (ADCs) in metastatic breast cancer patients: A systematic review and meta-analysis based on studies’ design
Presenter: Silvia Belloni
Session: Cocktail & Poster Display session
Resources:
Abstract
107P - Receptor change on residual disease following neoadjuvant therapies for locally advanced breast cancer fails to impact oncological and survival outcomes
Presenter: Rionagh Lynch
Session: Cocktail & Poster Display session
Resources:
Abstract
114P - Comprehensive genomic profiling by liquid biopsy captures tumor heterogeneity and identifies cancer vulnerabilities in patients with RAS/BRAFV600E wild type metastatic colorectal cancer in the CAPRI 2-GOIM trial
Presenter: Davide Ciardiello
Session: Cocktail & Poster Display session
Resources:
Abstract
115P - Impact of tissue factor on clinical and biological characteristics in patients with advanced pancreatic cancer
Presenter: Taro Shibuki
Session: Cocktail & Poster Display session
Resources:
Abstract
116P - Multiomic profiling based on <italic>Akkermansia muciniphila</italic> in advanced non-small cell lung cancer
Presenter: Lorenzo Belluomini
Session: Cocktail & Poster Display session
Resources:
Abstract
117P - Transforming public patient omic data into precision oncology targets: A comprehensive pan-cancer approach
Presenter: Eléonore Fox
Session: Cocktail & Poster Display session
Resources:
Abstract
118P - Whole transcriptome sequencing of lung tissue to combine disease classification and identification of actionable targets
Presenter: Alejandro Pallares Robles
Session: Cocktail & Poster Display session
Resources:
Abstract
119P - Genetic profiling of breast cancer in a developing country: Towards the establishment of oncogenetics in Cameroon
Presenter: Kenn Chi Ndi
Session: Cocktail & Poster Display session
Resources:
Abstract
120P - Uncovering the prognostic potential of FGFR2c isoform expression in advanced gastroesophageal cancer through MONSTAR-SCREEN-2 analysis
Presenter: Tadayoshi Hashimoto
Session: Cocktail & Poster Display session
Resources:
Abstract