Evidence map›Paper›PMID 37927805›Full record

ArticleCancer diagnosis & prognosis

Recombinant Methioninase Lowers the Effective Dose of Regorafenib Against Colon-Cancer Cells: A Strategy for Widespread Clinical Use of a Toxic Drug.

Brad Barsam Choobin, Yutaro Kubota, Qinghong Han, Daniel Ardjmand, Sei Morinaga, Kohei Mizuta, Michael Bouvet, Takuya Tsunoda, Robert M Hoffman

Open access · bronzeAbstract read
In one paragraph

Article in Cancer diagnosis & prognosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Brad Barsam ChoobinAntiCancer Inc., San Diego, CA, U.S.A.
Yutaro KubotaAntiCancer Inc., San Diego, CA, U.S.A.
Qinghong HanAntiCancer Inc., San Diego, CA, U.S.A.
Daniel ArdjmandAntiCancer Inc., San Diego, CA, U.S.A.
Sei MorinagaAntiCancer Inc., San Diego, CA, U.S.A.
Kohei MizutaAntiCancer Inc., San Diego, CA, U.S.A.
Michael BouvetDepartment of Surgery, University of California, San Diego, CA, U.S.A.
Takuya TsunodaDivision of Internal Medicine, Department of Medical Oncology, Showa University School of Medicine, Tokyo, Japan.
Robert M HoffmanAntiCancer Inc., San Diego, CA, U.S.A.
AntiCancer (United States) · USUniversity of California San Diego · USShowa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aim: Regorafenib is a multi-kinase inhibitor, targeting vascular endothelial growth factor receptor 2, fibroblast growth factor receptor 1 and other oncogenic kinases. Regorafenib has efficacy in metastatic colon cancer, but has severe dose-limiting toxicities which cause patients to stop taking the drug. The aim of the present study was to determine if recombinant methioninase (rMETase) could lower the effective concentration of regorafenib in vitro against a colorectal-cancer cell line. Materials and Methods: Firstly, we examined the half-maximal inhibitory concentration (IC Results: While both methioninase alone (IC Conclusion: rMETase and regorafenib are synergistic, giving rise to the possibility of lowering the effective dose of regorafenib in patients, thereby reducing its severe toxicity, allowing more cancer patients to be treated with regorafenib.

Indexed as

colon cancer cellscombination treatmentHCT-116Hoffman effectIC50methioninasemethionine addictionmulti-kinase inhibitorrecombinantRegorafenibrMETasesynergytoxicity

Identifiers

PMID37927805
PMCPMC10619565
OpenAlexW4388127675

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.