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Abstract PR09: APOBEC3A sensitizes leukemia cells to inhibitors of the replication checkpoint

2017· article· en· W2604758836 on OpenAlexaboutno aff
Abby M. Green, Konstantin Budagyan, Katharina E. Hayer, Matthew D. Weitzman

Bibliographic record

VenueMolecular Cancer Research · 2017
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS drug development and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyLeukemiaCancer researchDNA damageMyeloid leukemiaMutagenesisDNAGeneticsMutationGene

Abstract

fetched live from OpenAlex

Abstract The human APOBEC3 family of DNA-cytosine deaminases comprises seven members (A3A-A3H) that act on single-stranded DNA (ssDNA). The APOBEC3 enzymes are best defined by their capacity to restrict viral infection, however several family members are also capable of causing cellular DNA damage that leads to activation of DNA damage responses. Mutational signatures consistent with APOBEC3 activity have been identified in cancer genomes, and elevated expression of APOBEC3 enzymes has been observed in solid tumors. These findings point to a role for APOBEC3 enzymes in cancer-associated mutagenesis, however the impact of APOBEC3 activity within cancer cells has not been examined to date. We hypothesized that A3A is a potential source of mutagenesis in leukemia, since it is endogenously expressed at high levels in hematopoietic cells. To identify hematologic malignancies in which A3A expression is elevated, we examined RNA sequencing from adult and pediatric leukemias in the TCGA and TARGET databases. We found elevated A3A expression in a subset of pediatric and adult acute myeloid leukemia (AML). Additionally, we found that high A3A expression was associated with decreased survival, suggesting that new therapeutic options are important for patients with this type of malignancy. Since we have previously demonstrated that A3A acts on the cellular genome during replication, we hypothesized that abrogation of the replication checkpoint will produce genotoxicity and cell death in leukemias with elevated A3A expression. We therefore investigated the DNA damage response to A3A activity in leukemia cells by generating cell lines with inducible A3A expression. We found increased Ataxia Telangiectasia and Rad3-Related (ATR)-mediated phosphorylation of Chk1 (at serine 317 and serine 345) by Western blotting, and G2 arrest by flow cytometry. These results demonstrate that A3A causes replication checkpoint activation in leukemia cell lines. We investigated the potential for selective targeting of A3A-expressing AML cells by inhibition of replication checkpoint kinases. We found that A3A expression sensitized THP1 cells to ATR kinase inhibition, resulting in decreased viability, apoptosis, and abrogation of cell cycle arrest. We also found that Chk1 inhibition combined with A3A expression results in synthetic lethality in these cells. We determined that synthetic lethality with A3A is specific to the inhibition of ATR-Chk1 pathway and does not occur after inhibition of Ataxia Telangiectasia Mutated (ATM). We propose that A3A acts on ssDNA during replication in leukemia cells. ATR-Chk1 signaling is required for genome protection when A3A is active, and inhibition of this checkpoint results in cytotoxicity. These data reveal a new vulnerability of AML cells with elevated A3A expression and suggest that A3A is a biomarker for treatment with ATR kinase inhibitors. This abstract is also being presented as Poster B18. Citation Format: Abby M. Green, Konstantin Budagyan, Katharina E. Hayer, Matthew D. Weitzman. APOBEC3A sensitizes leukemia cells to inhibitors of the replication checkpoint [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr PR09.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.047
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.053
GPT teacher head0.394
Teacher spread0.341 · 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 teacher head, 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

Citations0
Published2017
Admission routes1
Has abstractyes

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