Evidence map›Paper›PMID 33656060›Full record

ArticleGenetics and molecular biology2021

Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer.

Talita Helen Bombardelli Gomig, Amanda Moletta Gontarski, Iglenir João Cavalli, Ricardo Lehtonen Rodrigues de Souza, Aline Castro Rodrigues Lucena, Michel Batista, Kelly Cavalcanti Machado, Fabricio Klerynton Marchini, Fabio Albuquerque Marchi, Rubens Silveira Lima and 4 more

Abstract read
In one paragraph

Article in Genetics and molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Male Breast Cancer: Current Scenario and Future Perspectives.Technology in cancer research & treatment
    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

14 authors.

Talita Helen Bombardelli GomigUniversidade Federal do Paraná, Departamento de Genética, Programa de Pós-graduação em Genética, Curitiba, PR, Brazil.
Amanda Moletta GontarskiUniversidade Federal do Paraná, Departamento de Genética, Programa de Pós-graduação em Genética, Curitiba, PR, Brazil.
Iglenir João CavalliUniversidade Federal do Paraná, Departamento de Genética, Programa de Pós-graduação em Genética, Curitiba, PR, Brazil.
Ricardo Lehtonen Rodrigues de SouzaUniversidade Federal do Paraná, Departamento de Genética, Programa de Pós-graduação em Genética, Curitiba, PR, Brazil.ORCID http://orcid.org/0000-0003-2591-8857
Aline Castro Rodrigues LucenaInstituto Carlos Chagas, Laboratório de Genômica Funcional, Curitiba, PR, Brazil.
Michel BatistaInstituto Carlos Chagas, Laboratório de Genômica Funcional, Curitiba, PR, Brazil.
Kelly Cavalcanti MachadoFundação Oswaldo Cruz (Fiocruz), Plataforma de Espectrometria de Massas, Curitiba, PR, Brazil.
Fabricio Klerynton MarchiniInstituto Carlos Chagas, Laboratório de Genômica Funcional, Curitiba, PR, Brazil.
Fabio Albuquerque MarchiHospital A.C. Camargo Cancer Center, Centro de Pesquisa Internacional, São Paulo, SP, Brazil.
Rubens Silveira LimaHospital Nossa Senhora das Graças, Centro de Doenças da Mama, Curitiba, PR, Brazil.
Cícero de Andrade UrbanHospital Nossa Senhora das Graças, Centro de Doenças da Mama, Curitiba, PR, Brazil.
Rafael Diogo MarchiInstituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, PR, Brazil.
Luciane Regina CavalliInstituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, PR, Brazil.
Enilze Maria de Souza Fonseca RibeiroUniversidade Federal do Paraná, Departamento de Genética, Programa de Pós-graduação em Genética, Curitiba, PR, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Male breast cancer (MBC) is a rare malignancy that accounts for about 1.8% of all breast cancer cases. In contrast to the high number of the "omics" studies in breast cancer in women, only recently molecular approaches have been performed in MBC research. High-throughput proteomics based methodologies are promisor strategies to characterize the MBC proteomic signatures and their association with clinico-pathological parameters. In this study, the label-free quantification-mass spectrometry and bioinformatics approaches were applied to analyze the proteomic profiling of a MBC case using the primary breast tumor and the corresponding axillary metastatic lymph nodes and adjacent non-tumor breast tissues. The differentially expressed proteins were identified in the signaling pathways of granzyme B, sirtuins, eIF2, actin cytoskeleton, eNOS, acute phase response and calcium and were connected to the upstream regulators MYC, PI3K SMARCA4 and cancer-related chemical drugs. An additional proteomic comparative analysis was performed with a primary breast tumor of a female patient and revealed an interesting set of proteins, which were mainly involved in cancer biology. Together, our data provide a relevant data source for the MBC research that can help the therapeutic strategies for its management.

Identifiers

PMID33656060
PMCPMC7926483

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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.