Evidence map›Paper›PMID 37377914›Full record

ArticleFrontiers in oncology2023

Early

Isaac Tuffour, Setor Amuzu, Hala Bayoumi, Iram Surtaj, Colin Parrish, Rachel Willand-Charnley

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. EarlyFrontiers in oncology · 2024
    Article
  3. Article
  4. Applications and advancements of CRISPR-Cas in the treatment of lung cancer.Frontiers in cell and developmental biology · 2023
    Review
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 4 institutions in 3 countries.

Isaac TuffourDepartment of Chemistry and Biochemistry, South Dakota State University, Brookings, SD, United States.
Setor AmuzuDepartment of Human Genetics, McGill University, Montreal, QC, Canada.
Hala BayoumiDepartment of Chemistry and Biochemistry, South Dakota State University, Brookings, SD, United States.
Iram SurtajDepartment of Medical Sciences, American University of Iraq, Sulaimani, Iraq.
Colin ParrishBaker Institute for Animal Health, Department of Microbiology and Immunology College of Veterinary Medicine, Cornell University, Ithaca, NY, United States.
Rachel Willand-CharnleyDepartment of Chemistry and Biochemistry, South Dakota State University, Brookings, SD, United States.
South Dakota State University · USAmerican University of Iraq Sulaimani · IQCornell University · USMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancers utilize sugar residues to engage in multidrug resistance. The underlying mechanism of action involving glycans, specifically the glycan sialic acid (Sia) and its various functional group alterations, has not been explored. ATP-binding cassette (ABC) transporter proteins, key proteins utilized by cancers to engage in multidrug resistant (MDR) pathways, contain Sias in their extracellular domains. The core structure of Sia can contain a variety of functional groups, including O-acetylation on the C6 tail. Modulating the expression of acetylated-Sias on Breast Cancer Resistance Protein (BCRP), a significant ABC transporter implicated in MDR, in lung and colon cancer cells directly impacted the ability of cancer cells to either retain or efflux chemotherapeutics.

Indexed as

breast cancer resistance proteincancermultidrug resistanceO-acetyl sialic acidsialic acid

Identifiers

PMID37377914
PMCPMC10291187
OpenAlexW4380371247

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.