Evidence map›Paper›PMID 41670092›Full record

ArticleBrazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas2026

Expression of MIR155HG, LOC283856, KIAA0125, and LOC100190986 as potential prognostic and predictive biomarkers for breast cancer.

A C Pavanelli, F R R Mangone, G P de Jesus, M A Nagai

Abstract read
In one paragraph

Article in Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas, 2026. 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
–field-weighted citation impact
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. 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

4 authors.

A C PavanelliLaboratório de Genética Molecular, Centro de Investigação Translacional em Oncologia, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0001-5043-3144
F R R MangoneLaboratório de Genética Molecular, Centro de Investigação Translacional em Oncologia, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-1730-9931
G P de JesusLaboratório de Genética Molecular, Centro de Investigação Translacional em Oncologia, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-3885-2204
M A NagaiLaboratório de Genética Molecular, Centro de Investigação Translacional em Oncologia, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0002-0728-4937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accumulating evidence has pointed out that the altered expression of long non-coding RNAs (lncRNAs) is involved in the physiopathology of breast cancer (BC). However, the role of lncRNAs in BC progression remains poorly understood. Here, we evaluated cDNA microarray data from a previous study from our group to investigate the effects of SPARC expression on the transcriptome of MCF7 cells before and after treatment with docetaxel. We analyzed our gene expression data to identify differentially expressed long non-coding RNAs (DELncRNAs). In combination with in silico analysis, we selected a group of DELncRNAs with potential prognostic and predictive value for BC patients with tumors of different intrinsic subtypes. Overall, we identified 260 DELncRNAs comparing MCF7 cells with different expressions of SPARC after docetaxel treatment. Nine DELncRNAs (LOC646762, FLJ13224, CASC2, LOC100130691, MGC12916, LOC100190986, LOC283856, KIAA0125, and MIR155HG) showed significant associations with BC survival on the KM Plotter platform. Of these 9 DELncRNAs, MIR155HG, LOC283856, LOC100190986, and KIAA0125 were significantly correlated with recurrence-free survival and overall survival rates of BC patients, suggesting they could help predict the outcome of BC patients as prognostic factors. Moreover, in silico analysis showed that these DELncRNAs were able to predict BC patients' responses to different treatment protocols.

Indexed as

Biomarkers, TumorBreast NeoplasmsRNA, Long NoncodingAntineoplastic AgentsDocetaxelFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMCF-7 CellsMicroRNAsOligonucleotide Array Sequence AnalysisOsteonectinPrognosisTaxoidsAntineoplastic AgentsBiomarkers, TumorDocetaxelMicroRNAsOsteonectinRNA, Long NoncodingTaxoids

Identifiers

PMID41670092
PMCPMC12892257

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.