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Record W2886842073 · doi:10.1158/1538-7445.am2018-2925

Abstract 2925: Tandem targeting of poly (ADP-ribose) polymerase (PARP) and epidermal growth factor receptor (EGFR) as a novel strategy for enhancing radio- and chemosensitivity of refractory tumors

2018· article· en· W2886842073 on OpenAlexaff
Martin Rupp, Zhor Senhaji Mouhri, Ursula Stochaj, Bertrand J. Jean‐Claude

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsMcGill University
Fundersnot available
KeywordsSynthetic lethalityOlaparibPARP inhibitorCancer researchPoly ADP ribose polymeraseGefitinibEpidermal growth factor receptorDNA repairEGFR inhibitorsTemozolomideBiologyPolymeraseChemistryCancerEnzymeDNABiochemistryGliomaGenetics

Abstract

fetched live from OpenAlex

Abstract Poly (ADP-ribose) polymerase (PARP) inhibitors are a novel therapeutic approach for the selective targeting of tumours with BRCA1/2 hereditary deficiencies. BRCA1/2 are two key proteins involved in homologous recombination (HR) repair. Although the therapeutic benefit of PARP inhibitors has now been proven in the clinic in patients with BRCA1/2 mutations, much effort has been deployed to expand the use of PARP inhibitors beyond tumours harbouring inherited deficiencies in HR- mediated DNA repair. Several combination modalities with agents that can induce HR deficiency and exploit the concept of “contextual synthetic lethality” have been reported for PARP inhibitors. Here we exploited the contextual synthetic lethality between PARP and the epidermal growth factor receptor (EGFR) to design and synthesize a novel dual EGFR targeted PARP inhibitor, termed ZSMR06. The results showed that: a) ZSMR06 is capable of inhibiting EGFR and PARP in whole cells in the nanomolar range (36-63 nM); b) it was selectively potent against BRCA2 mutant and EGFR expressing isogenic cells; c) as monotherapy, ZSMR06 was extremely potent with growth inhibitory activities superior to that of an equimolar combination of olaparib (a clinical PARP inhibitor) and gefitinib (a clinical EGFR inhibitor) in a large panel of tumour cell lines; d) ZSMR06 strongly potentiated the effect of temozolomide (TMZ) and induced significantly stronger (p<0.05-0.001) growth inhibition than olaparib + TMZ combination in cells expressing O6-methylguanine-DNA methyltransferase (MGMT), an enzyme that confers a robust resistance to TMZ; e) ZSMR06 selectively potentiated TMZ on EGFR expressing cells; f) it was able to strongly sensitize bladder cancer cells to radiation (DMF50= 2.96-9.5). These results in toto showed that ZSMR06 due to its dual mechanism of action is capable of behaving as a strong potentiator of TMZ and radiation in resistant cells. Its potency in non-BRCA1/2 mutant tumour cells indicates that it may be the first prototype of hybrid molecules capable of expanding the use of PARP inhibition beyond BRCA1/2 mutations. Citation Format: Martin Rupp, Zhor Senhaji Mouhri, Ursula Stochaj, Bertrand Jean-Claude. Tandem targeting of poly (ADP-ribose) polymerase (PARP) and epidermal growth factor receptor (EGFR) as a novel strategy for enhancing radio- and chemosensitivity of refractory tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2925.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.093
GPT teacher head0.411
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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