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Record W3083172821 · doi:10.1158/1538-7445.am2020-5246

Abstract 5246: Disulfiram anticancer metabolite, dithiocarb-copper complex, demonstrates anti-neoplastic activity against hypermutated colorectal cancers

2020· article· en· W3083172821 on OpenAlexaff
Daciana Catalina Dumut, Juan Bautista De Sanctis, Martin Mistrík, Zdeněk Škrott, Petr Džubák, Jiří Bártek, Marián Hajdúch, Danuta Radzioch

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsMcGill University
Fundersnot available
KeywordsColorectal cancerIrinotecanCancer researchCancerKRASMedicineIn vivoMicrosatellite instabilityApoptosisCancer cellBiologyInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Abstract Introduction: Colorectal cancer (CRC) is the third leading cause of cancer related deaths in the United States. It was responsible for about 51,000 deaths during 2019. Surgical resection and systemic chemotherapy are standard approaches to treat both localized and metastatic CRC (mCRC). However, the effect of the chemotherapy depends on the characteristics of the individual tumor, for instance CRC subtypes with a microsatellite instability (MSI) tend to have better prognosis and response to both chemotherapy and immune check-point inhibition. Recently, Disulfiram's anti-cancer activity was explored and its metabolite ditiocarb-copper complex (CuET) was found to have high anti-cancer activity. The mechanism of action of CuET was proposed to act through p97 segregase adaptor NPL4 and activation of endoplasmic reticulum stress leading to preferential apoptosis of cancer cells. Since altered protein degradation pathway is targeted by CuET, this compound might display high efficacy in highly mutated colorectal cancers. Methods: To assess CuET anti-cancer activity in vitro, we performed survival curve assays and colony-formation assays in both murine hypermutated colorectal cancer cell line MC-38 as well as in human KRAS mutant and MSI HCT116 cell line. We also evaluated anti-metastatic effect of CuET on both cell lines through migration-invasion assays in Boyden chamber setting. We assessed in vivo efficacy of systemic treatment with CuET alone or in combination with irinotecan, against MC-38 model in immunocompetent C57BL/6 mice. We characterized tumor growth, mice survival and tumor histopathology. Results: Our results demonstrate that CuET displays cytotoxicity in MC-38 and HCT116 cells at very low doses with respective IC50 of 46nM and 88nM. CuET also significantly reduces the ability of both cell lines to grow and form colonies under sustained treatment. Additionally, CuET is effective in significantly reducing cancer cell migration and invasion through porous membrane in vitro. Furthermore, systemic treatment with CuET significantly reduced tumor growth in mice and prolonged survival when compared to controls. Conclusion: CuET demonstrates cytotoxic activity against hypermutated colorectal cancer cells both in vitro and in vivo and should be further investigated in clinical trials. Citation Format: Daciana Catalina Dumut, Juan B. De Sanctis, Martin Mistrik, Zdenek Skrott, Petr Dzubak, Jiri Bartek, Marian Hajduch, Danuta Radzioch. Disulfiram anticancer metabolite, dithiocarb-copper complex, demonstrates anti-neoplastic activity against hypermutated colorectal cancers [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 5246.

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.355
Teacher spread0.297 · 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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