Evidence map›Paper›PMID 31192543›Full record

ArticleCancer medicine2019

Preclinical evaluation of an unconventional ruthenium-gold-based chemotherapeutic: RANCE-1, in clear cell renal cell carcinoma.

Benelita T Elie, Karen Hubbard, Yuriy Pechenyy, Buddhadev Layek, Swayam Prabha, Maria Contel

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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  8. SEC hyphenated to a multielement-specific detector unravels the degradation pathway of a bimetallic anticancer complex in human plasma.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2020
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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

6 authors at 3 institutions in 1 country.

Benelita T ElieDepartment of Chemistry, Brooklyn College, The City University of New York, Brooklyn, New York.
Karen HubbardBiology PhD Program, The Graduate Center, The City University of New York, New York, New York.
Yuriy PechenyyDepartment of Biology, City College of New York, The City University of New York, New York, New York.
Buddhadev LayekUniversity of Minnesota College of Pharmacy, Minneapolis, Minnesota.
Swayam PrabhaUniversity of Minnesota College of Pharmacy, Minneapolis, Minnesota.
Maria ContelDepartment of Chemistry, Brooklyn College, The City University of New York, Brooklyn, New York.ORCID 0000-0002-9825-4441
The Graduate Center, CUNY · USUniversity of Minnesota · USCity College of New York · US

Funding

Training and Career Development CoreU54CA132378 · NCI · CITY COLLEGE OF NEW YORK · PI Tim Alan Ahles, ADRIANA ESPINOSA · 2008 to 2026
$28.9M
Training and Career Development and Education CoreU54CA137788 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Daniel Alan Heller · 2008 to 2026
$28.1M
Cellular/Molecular Basis of Development: Research CenterG12MD007603 · NIMHD · CITY COLLEGE OF NEW YORK · PI PEZZANO, MARK · 2012 to 2017
$11.5M
Biodegradable nanocarriers and antibodies as targeting delivery vehicles for cancer metallodrugsSC1GM127278 · NIGMS · BROOKLYN COLLEGE · PI CONTEL, MARIA · 2018 to 2021
$1.6M
Titanium-gold-based chemotherapeutics for prostate and kidney cancerSC1CA182844 · NCI · BROOKLYN COLLEGE · PI CONTEL, MARIA · 2013 to 2016
$1.4M
Targeting Solid Tumors Using Nano-Engineered MSCsR01EB022558 · NIBIB · UNIVERSITY OF MINNESOTA · PI PRABHA, SWAYAM · 2016 to 2019
$1.3M
NCI NIH HHS SC1 CA182844NCI NIH HHS U54 CA132378NCI NIH HHS U54 CA137788NIBIB NIH HHS R01 EB022558NIGMS NIH HHS SC1 GM127278NIMHD NIH HHS G12 MD007603
6 · The paper itself

Abstract

backgroundThere are few effective treatments for patients with advanced clear cell renal cell carcinoma (CCRCC). Recent findings indicate that ruthenium-gold containing compounds exhibit significant antitumor efficacy against CCRCC in vitro affecting cell viability as well as angiogenesis and markers driving those 2 phenomena. However, no in vivo preclinical evaluation of this class of compounds has been reported.

methodsFollowing the dose-finding pharmacokinetic determination, NOD.CB17-Prkdc SCID/J mice bearing xenograft CCRCC Caki-1 tumors were treated in an intervention trial for 21 days at 10 mg/kg/72h of RANCE-1. At the end of the trial, tumor samples were analyzed for histopathological and changes in protein expression levels were assessed.

resultsAfter 21 days of treatment there was no significant change in tumor size in the RANCE-1-treated mice as compared to the starting size (+3.87%) (P = 0.082) while the vehicle treated mice exhibited a significant tumor size increase (+138%) (P < 0.01). There were no signs of pathological complications as a result of treatment. Significant reduction in the expression of VEGF, PDGF, FGF, EGFR, and HGRF, all key to the proliferation of tumor cells and stromal cells serving protumorigenic purposes was observed.

conclusionsThe tumor growth inhibition displayed and favorable pathology profile of RANCE-1 makes it a promising candidate for further evaluation toward clinical use for the treatment of advanced CCRCC.

Indexed as

Angiogenic ProteinsAnimalsCarcinoma, Renal CellCell Line, TumorCell ProliferationCell SurvivalFemaleGene Expression Regulation, NeoplasticGoldHumansKidney NeoplasmsMaleMiceOrganometallic CompoundsRutheniumTreatment OutcomeAngiogenic ProteinsGoldOrganometallic CompoundsRutheniumclear cell renal cell carcinomahistopathologykidney metastasismice xenograft modelpharmacokineticsunconventional chemotherapeutics

Identifiers

PMID31192543
PMCPMC6675714
OpenAlexW2951148079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.