Evidence map›Paper›PMID 30917509›Full record

ArticleInternational journal of molecular sciences2019

Cell Signaling Pathways in Mammary Carcinoma Induced in Rats with Low versus High Inherent Aerobic Capacity.

Tymofiy Lutsiv, John N McGinley, Elizabeth S Neil, Henry J Thompson

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Tymofiy LutsivCancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA. tymofiy.lutsiv@colostate.edu.
John N McGinleyCancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA. john.mcginley@colostate.edu.
Elizabeth S NeilCancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA. elizabeth.neil@colostate.edu.
Henry J ThompsonCancer Prevention Laboratory, Colorado State University, Fort Collins, CO 80523, USA. henry.thompson@colostate.edu.ORCID 0000-0002-3730-9322
Colorado State University · US

Funding

Exercise, Breast Cancer Prevention, and MechanismsR01CA100693 · NCI · COLORADO STATE UNIVERSITY-FORT COLLINS · PI THOMPSON, HENRY J · 2004 to 2019
$3.4M
Resource for Rat Genetic Models of Aerobic CapacityP40OD021331 · OD · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI KOCH, LAUREN GERARD · 2015 to 2019
$1.9M
NCI NIH HHS CA100693NCI NIH HHS R01 CA100693NIH HHS P40 OD021331
6 · The paper itself

Abstract

An inverse association exists between physical activity and breast cancer incidence and outcomes. An objective indicator of an individual's recent physical activity exposure is aerobic capacity. We took advantage of the fact that there is an inherited as well as inducible component of aerobic capacity to show that experimentally induced mammary cancer is inversely related to inherent aerobic capacity (IAC). The objective of this study was to determine whether cell signaling pathways involved in the development of mammary cancer differed in rats with low inherent aerobic capacity (LIAC,

Indexed as

Oxygen ConsumptionSignal TransductionAnimalsCarcinomaEnergy MetabolismFatty AcidsFemaleGlucoseMammary Neoplasms, ExperimentalProtein BiosynthesisRatsFatty AcidsGlucosecell signalinginherent aerobic capacitymammary cancer

Identifiers

PMID30917509
PMCPMC6470785
OpenAlexW2924322155

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.