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Record W3083730531 · doi:10.1158/1538-7445.am2020-1369

Abstract 1369: Dianhydrogalactitol (VAL-083) synergizes with topoisomerase inhibitors to overcome homologous recombination repair activity in glioblastoma and prostate cancer cells

2020· article· en· W3083730531 on OpenAlexaff
Beibei Zhai, Sudha Sravanti Kotapalli, Jeffrey Bacha, Dennis Brown, Anne Steinø, Mads Daugaard

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsDelmar (Canada)University of British Columbia
Fundersnot available
KeywordsPropidium iodideCancer researchDNA repairCell cycleMolecular biologyBiologyCancer cellDNA damageCancerChemistryDNAApoptosisProgrammed cell deathGenetics

Abstract

fetched live from OpenAlex

Abstract Dianhydrogalactitol (VAL-083) is a bi-functional DNA-damaging agent that targets N7-guanines and causes DNA inter-strand crosslinks. VAL-083 is a small water-soluble molecule that readily crosses blood-brain-barrier and accumulates in brain tumor tissue, making it a good candidate for targeting brain malignancies, such as glioblastoma multiforme (GBM). VAL-083 has demonstrated anti-tumor activity in prior NCI-sponsored clinical trials in brain tumors and other cancer types. Previous research in our group demonstrates VAL-083-induced DNA inter-strand crosslinks lead to replication-dependent DNA double strand break (DSB) lesions that are preferentially repaired by homologous recombination (HR) in non-small cell lung cancer (NSCLC) cells. To investigate if the observed effects of VAL-083 in NSCLC cells translate to other cancer indications as well, we tested the cytotoxic activity of VAL-083 in a panel of GBM and prostate cancer cell lines. Crystal violet cell proliferation assay showed broad cytotoxicity of VAL-083 in low concentration (µM) range in all the cell lines tested. Immunofluorescent and propidium iodide staining followed by flow cytometric analysis furthermore showed that VAL-083 treatment induced replication-dependent S/G2 cell cycle arrest. DNA repair markers were investigated by western blot and confocal microscopy analyses and confirmed the activation of HR DNA repair pathway after VAL-083 treatment in cancer cells. Using lentiviral transduction of MLH1 and MSH2 expression vectors in HCT116 and LoVo cell lines, we investigated if VAL-083 activity was affected by DNA mismatch repair (MMR), which is the secondary temozolomide (TMZ)-resistance mechanism in GBM patients. Our data showed that VAL-083 cytotoxicity was independent of MMR, suggesting that VAL-083 is able to overcome MMR-mediated TMZ-resistance in GBM patients. Additionally, we demonstrated synergistic effects between VAL-083 and inhibitors of both topoisomerase I and II (camptothecin, irinotecan and etoposide) in GBM and prostate cancer cells. Taken together. our present study validated the broad cytotoxic effect and mechanism-of-action of VAL-083 in a variety of cancer cells and suggested that VAL-083 is able to overcome MMR-mediated TMZ resistance in GBM. We further demonstrated synergy between VAL-083 and topoisomerase inhibitors in GBM, prostate cancer and NSCLC cell lines. This provides good guidance for improved treatment strategies to use VAL-083 either as single agents or as part of combination regimens in the treatment of cancer patients. Citation Format: Beibei Zhai, Sudha Sravanti Kotapalli, Jeffrey A. Bacha, Dennis M. Brown, Anne Steino, Mads Daugaard. Dianhydrogalactitol (VAL-083) synergizes with topoisomerase inhibitors to overcome homologous recombination repair activity in glioblastoma and prostate cancer cells [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1369.

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 score0.002
Threshold uncertainty score0.008

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.312
Teacher spread0.294 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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