Evidence map›Paper›PMID 31635311›Full record

ArticleBiomolecules2019

Anti-Cancer Effects of Synergistic Drug-Bacterium Combinations on Induced Breast Cancer in BALB/c Mice.

Menaga Subramaniam, Norhafiza M Arshad, Kein Seong Mun, Sharan Malagobadan, Khalijah Awang, Noor Hasima Nagoor

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Frontiers in immunology · 2024
    Review
  3. Review
  4. Review
  5. 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 1 institution in 1 country.

Menaga SubramaniamInstitute of Biological Sciences (Genetics and Molecular Biology), Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia. menaga_04@yahoo.com.
Norhafiza M ArshadCentre for Research in Biotechnology for Agriculture (CEBAR), University of Malaya, Kuala Lumpur 50603, Malaysia. hafizaarshad@um.edu.my.
Kein Seong MunDepartment of Pathology, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia. ksmun@ummc.edu.my.
Sharan MalagobadanInstitute of Biological Sciences (Genetics and Molecular Biology), Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia. shn.m@outlook.com.
Khalijah AwangCentre for Natural Product Research and Drug Discovery (CENAR) & Department of Chemistry, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia. khalijah@um.edu.my.
Noor Hasima NagoorInstitute of Biological Sciences (Genetics and Molecular Biology), Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia. hasima@um.edu.my.ORCID 0000-0003-3905-3129
University of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer development and progression are extremely complex due to the alteration of various genes and pathways. In most cases, multiple agents are required to control cancer progression. The purpose of this study is to investigate, using a mouse model, the synergistic interactions of anti-cancer agents, 1'-S-1'-acetoxychavicol acetate (ACA),

Indexed as

AnimalsAntineoplastic AgentsApoptosisBenzyl AlcoholsBreast NeoplasmsCell ProliferationCisplatinCytokinesDrug CombinationsDrug Screening Assays, AntitumorFemaleMiceMice, Inbred BALB CMycobacterium1'-acetoxychavicol acetateAntineoplastic AgentsBenzyl AlcoholsCisplatinCytokinesDrug Combinationsbreast cancercytokinesdrug combinationinflammatory markersnuclear factor κB

Identifiers

PMID31635311
PMCPMC6843452
OpenAlexW2980786453

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.