Evidence map›Paper›PMID 34478029›Full record

ArticleInvestigational new drugs2022

Antineoplastic activity of products derived from cellulose-containing materials: levoglucosenone and structurally-related derivatives as new alternatives for breast cancer treatment.

Damian Ignacio Delbart, German Francisco Giri, Agostina Cammarata, Melisan Denise Pan, Lizeth Ariza Bareño, Natalia Loreley Amigo, Andrés Bechis, Alejandra Graciela Suarez, Rolando Ángel Spanevello, Marcela Solange Villaverde and 2 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Investigational new drugs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Damian Ignacio Delbart *Área Investigación, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Av. San Martín 5481, C1417DTB, Buenos Aires, Argentina.
German Francisco Giri *Facultad de Ciencias Bioquímicas y Farmacéuticas, Instituto de Química de Rosario, Universidad Nacional de Rosario-CONICET, Rosario, Argentina.
Agostina CammarataGerencia de Investigación y Aplicaciones, Comisión Nacional de Energía Atómica, San Martín, Argentina.
Melisan Denise PanInstituto de Oncología Ángel H. Roffo, Unidad de Transferencia Genética, Universidad de Buenos Aires, Buenos Aires, Argentina.
Lizeth Ariza BareñoÁrea Investigación, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Av. San Martín 5481, C1417DTB, Buenos Aires, Argentina.
Natalia Loreley AmigoÁrea Investigación, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Av. San Martín 5481, C1417DTB, Buenos Aires, Argentina.
Andrés BechisÁrea Investigación, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Av. San Martín 5481, C1417DTB, Buenos Aires, Argentina.
Alejandra Graciela SuarezFacultad de Ciencias Bioquímicas y Farmacéuticas, Instituto de Química de Rosario, Universidad Nacional de Rosario-CONICET, Rosario, Argentina.
Rolando Ángel SpanevelloFacultad de Ciencias Bioquímicas y Farmacéuticas, Instituto de Química de Rosario, Universidad Nacional de Rosario-CONICET, Rosario, Argentina.
Marcela Solange VillaverdeInstituto de Oncología Ángel H. Roffo, Unidad de Transferencia Genética, Universidad de Buenos Aires, Buenos Aires, Argentina.
Laura Beatriz TodaroÁrea Investigación, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Av. San Martín 5481, C1417DTB, Buenos Aires, Argentina.
Alejandro Jorge UrtregerÁrea Investigación, Instituto de Oncología Ángel H. Roffo, Universidad de Buenos Aires, Av. San Martín 5481, C1417DTB, Buenos Aires, Argentina. urtreger@fmed.uba.ar.ORCID 0000-0002-2338-7821
Consejo Nacional de Investigaciones Científicas y Técnicas · ARUniversidad de Buenos Aires · ARComisión Nacional de Energía Atómica · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the leading cause of cancer death among women worldwide. For this reason, the development of new therapies is still essential. In this work we have analyzed the antitumor potential of levoglucosenone, a chiral building block derived from the pyrolysis of cellulose-containing materials such as soybean hulls, and three structurally related analogues. Employing human and murine mammary cancer models, we have evaluated the effect of our compounds on cell viability through MTS assay, apoptosis induction by acridine orange/ethidium bromide staining and/or flow cytometry and the loss of mitochondrial potential by tetramethylrhodamine methyl ester staining. Autophagy and senescence induction were also evaluated by Western blot and β-galactosidase activity respectively. Secreted metalloproteases activity was determined by quantitative zymography. Migratory capacity was assessed by wound healing assays while invasive potential was analyzed using Matrigel-coated transwell chambers. In vivo studies were also performed to evaluate subcutaneous tumor growth and experimental lung colonization. All compounds impaired in vitro proliferation with IC

Indexed as

AnimalsAntineoplastic Agents, PhytogenicApoptosisBreast NeoplasmsBridged Bicyclo Compounds, HeterocyclicCell Line, TumorCell ProliferationCell SurvivalCelluloseDose-Response Relationship, DrugGlucoseHumansInhibitory Concentration 50MiceMice, Inbred BALB CTumor Burden1,6-anhydro-3,4-dideoxyhex-3-enopyran-2-uloseAntineoplastic Agents, PhytogenicBridged Bicyclo Compounds, HeterocyclicCelluloseGlucoseBreast cancerLevoglucosenonePyrolysisSoybean hulls

Identifiers

PMID34478029
OpenAlexW3197651212

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.