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Record W2503626267 · doi:10.1158/1538-7445.am2016-268

Abstract 268: PARP3 inhibitors in cancer therapy

2016· article· en· W2503626267 on OpenAlexaff
Bahram Sharif-Askari, David Davidson, Lilian Amrein, Lawrence Panasci

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsMcGill University
Fundersnot available
KeywordsDNA damagePoly ADP ribose polymerasePARP1DNA repairKu80Molecular biologyKu70CytotoxicityDNAChemistryBiologyCancer researchBiochemistryPolymeraseIn vitroDNA-binding proteinTranscription factor

Abstract

fetched live from OpenAlex

Abstract Poly-ADP-ribose-polymerase (PARP1) is an important regulator of DNA damage response (DDR). After induction of certain types of DNA damage, including nicks and double strand breaks (DSB)s, PARP1 is rapidly recruited to altered DNA sites were its catalytic activity produces protein-conjugated long-branched-poly-ADP-ribose (PAR) chains. These protein modifications result in the recruitment and activation of multiple proteins involved in DNA repair. Although there is considerable research describing the characteristics and activity of PARP1/2, there are 15 other PARP family members that are less well characterized. Of these PARP3 has been shown to have a distinct role in DNA repair. This protein has been shown to have a critical role in DSB resolution and to interact with partner proteins know to function in classical nonhomologous end joining (NHEJ) such as DNA-PKcs, Ku70, and Ku80. In order to examine the role of PARP3 vis-à-vis chemotherapy, we utilized the specific PARP3 inhibitor, ME-0328 in combination with activated cyclophosphamide (4HC) in the chronic lymphocytic leukaemia (CLL) cell lines, MEC1 and MEC2. Results from MTT cytotoxicity assays showed that the 50% inhibitory concentration (IC50) (50% of control) of 4HC in MEC-1 cells was 12.9μM. When used in combination with a nontoxic concentration (2μM) of the specific PARP3 inhibitor ME-0328 the IC50 of 4HC was reduced to 3.3μM. In MEC-2 cells the IC50 of 4HC was 10.8μM and was reduced to 2.1μM in the presence of ME-0328 at 2μM. ABT-888, a specific PARP1/2 inhibitor in clinical trials had a minimal effect on 4HC cytotoxicity in these cell lines. 4HC results in interstrand crosslinks (ICLs) which are believed to be repaired by homologous recombination. Intriguingly, PARP3 negatively regulates class switch recombination via activation-induced cytidine deaminase in B-lymphocytes. This may be involved in ME-0328 sensitization of 4HC in B-lymphocytic malignancies. Given these preliminary results we hypothesize that the PARP3 inhibitor, ME-0328 will sensitize B-lymphocytic cancers to chemotherapies. To explore this hypothesis this project will pursue the following objectives: 1. Characterize the selective sensitization of ME-0328 with 4HC and/or bendamustine (an ICL-inducing drug utilized in the treatment of B-lymphocyte malignancies) in B-lymphoma and CLL cell lines plus CLL clinical samples. 2. Determine the mechanisms by which ME-0328 sensitizes CLL cells to 4HC and/or bendamustine (i.e. reduction of PARP1 or 3 activity and/or altered activity of known DNA repair proteins (Rad51, DNA-PK, H2AX) and/or altered activation-induced cytidine deaminase). 3. Determine the in-vivo activity of 4HC and/or bendamustine with or without ME-0328 in a Rag2 /-γcc-/- xenograft model using the MEC1-CLL cell line. The inhibition of PARP3 may increase the sensitivity of tumor cells to DNA damaging chemotherapies. Our results should stimulate development of specific PARP3 inhibitors for clinical use. Citation Format: Bahram Sharif-Askari, David Davidson, Lilian Amrein, Lawrence Panasci. PARP3 inhibitors in cancer therapy. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 268.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.008

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 head0.209
GPT teacher head0.500
Teacher spread0.291 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2016
Admission routes1
Has abstractyes

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