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Record W2345630854 · doi:10.1158/1538-7445.am2015-5327

Abstract 5327: Simultaneous inhibition of ATR and PARP greatly sensitizes colon cancer cell lines to irinotecan

2015· article· en· W2345630854 on OpenAlexaff
David Davidson, Atlal Abusanad, Yunzhe Wang, Fatemeh Hasheminasab, Justin Panasci, Raquel Aloyz, Lawrence Panasci

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer therapeutics and mechanisms
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsIrinotecanDNA damageDNA repairPoly ADP ribose polymeraseCancer researchOlaparibChemistryIC50Topoisomerase inhibitorPharmacologyCancer cellKinaseCancerColorectal cancerPolymeraseTopoisomeraseMedicineDNABiochemistryIn vitro

Abstract

fetched live from OpenAlex

Abstract Enhanced DNA damage repair is one mechanism behind colon cancer drug resistance. Thus, targeting molecular components of repair pathways with specific small molecule inhibitors may improve the efficacy of chemotherapy. ABT-888 and VE-821, inhibitors of poly-ADP-ribose-polymerase (PARP) and the serine/threonine-kinase Ataxia telangiectasia related (ATR), respectively, were used to treat colon cancer cell lines in combination with the topoisomerase-I inhibitor irinotecan (SN38). Our findings show that each of these molecules at nontoxic single agent concentrations synergized with SN38 to produce a 2.2 to 3 fold reduction in the 50% inhibitory concentration (IC50) of SN38 (Table 1). When combined, nontoxic concentrations of ABT-888 and VE-821 produced a 4.5 to 27 fold reduction in the IC50 of SN38. Furthermore, the combination of all three agents was associated with maximal G2-M arrest and enhanced DNA-damage (γH2AX). The mechanism of this enhanced synergy was associated with maximal suppression of SN38 induced PARP activity in the presence of both inhibitors. Furthermore, VE-821 enhancement of SN38 induced DNA-PK phosphorylation was abrogated by ABT-888, resulting in more unrepaired DNA damage. This novel combination of DNA repair inhibitors may be useful to enhance the activity of DNA damaging chemotherapies such as irinotecan and help circumvent resistance to this drug in colon cancer. Cell LineVE-821 (μM)ABT-888 (μM)SN38 (IC50) ± SE (nM)I valueP valueLoVo13.5±1.214.5±1.90.30.020.55.8±2.00.40.030.59.4±1.00.70.0610.53.0±1.20.20.010.50.54.7±1.90.40.02HCT-1168.1±0.713.5±0.50.50.010.55.2±0.60.70.030.53.9±1.10.50.0310.50.3±0.030.10.010.50.52.1±0.40.30.01HT-2920.5±1.819.3±0.60.60.010.512.2±1.30.70.020.512.9±0.70.60.0210.53.9±0.50.30.010.50.56.1±0.20.40.01 Table 1 Colon cancer cell lines LoVo, HCT-116 and HT-29 were treated with SN38 alone or in combination with various concentrations of the ATR inhibitor VE-821 and/or the PARP inhibitor ABT-888. The IC50 values of SN38 were significantly reduced in the presence of VE-821 and/or ABT-888 for all cell lines. Drug synergy (I) values were determined, according to Berenbaum (1978), by calculating the ratio: (IC50 SN38 with inhibitors/IC50 SN38 alone) + (inhibitor concentration used/IC50 inhibitor alone); I less than 1 = synergism, I equal to 1 = additive effect and I greater than 1 = antogonism. Citation Format: David Davidson, Atlal Abu-Sanad, Yunzhe Wang, Fatemeh Hasheminasab, Justin Panasci, Raquel Aloyz, Lawrence Panasci. Simultaneous inhibition of ATR and PARP greatly sensitizes colon cancer cell lines to irinotecan. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 5327. doi:10.1158/1538-7445.AM2015-5327

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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.078
GPT teacher head0.390
Teacher spread0.312 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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