Evidence map›Paper›PMID 38137332›Full record

ArticleBiomedicines2023

Gene Signature Associated with Nervous System in an Experimental Radiation- and Estrogen-Induced Breast Cancer Model.

Gloria M Calaf, Debasish Roy, Lilian Jara, Francisco Aguayo, Leodan A Crispin

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

5 authors at 3 institutions in 2 countries.

Gloria M CalafInstituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile.ORCID 0000-0003-3542-296X
Debasish RoyDepartment of Natural Sciences, Hostos College of the City University of New York, Bronx, NY 10451, USA.
Lilian JaraLaboratorio de Genética Humana, Programa de Genética Humana, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Santiago 8380000, Chile.
Francisco AguayoLaboratorio de Oncovirología, Programa de Virología, Instituto de Ciencias Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Santiago 8380000, Chile.
Leodan A CrispinInstituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile.ORCID 0000-0002-4026-2641
University of Chile · CLUniversity of Tarapacá · CLCity University of New York · US

Funding

Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT) FONDECYT 1200656 (G.M.C.)Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT) FONDECYT 1231537 (G.M.C.).
6 · The paper itself

Abstract

Breast cancer is frequently the most diagnosed female cancer in the world. The experimental studies on cancer seldom focus on the relationship between the central nervous system and cancer. Despite extensive research into the treatment of breast cancer, chemotherapy resistance is an important issue limiting the efficacy of treatment. Novel biomarkers to predict prognosis or sensitivity to chemotherapy are urgently needed. This study examined nervous-system-related genes. The profiling of differentially expressed genes indicated that high-LET radiation, such as that emitted by radon progeny, in the presence of estrogen, induced a cascade of events indicative of tumorigenicity in human breast epithelial cells. Bioinformatic tools allowed us to analyze the genes involved in breast cancer and associated with the nervous system. The results indicated that the gene expression of the

Indexed as

axon guidancebreast cancerneural precursorsneuronal markersneurotransmitterradiation

Identifiers

PMID38137332
PMCPMC10740914
OpenAlexW4388904859

What Socratic 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 Socratic graph.