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Proteomics reveals differentially regulated pathways when comparing grade 2 and 4 astrocytomas.
Verissimo, Denildo C A; Camillo-Andrade, Amanda C; Santos, Marlon D M; Sprengel, Sergio L; Zanine, Simone C; Borba, Luis A B; Carvalho, Paulo C; da G Fischer, Juliana de S.
Affiliation
  • Verissimo DCA; Laboratory for Structural and Computational Proteomics-Carlos Chagas Institute, Fiocruz Paraná, Curitiba, PR, Brazil.
  • Camillo-Andrade AC; Clinical Hospital of the Federal University of Paraná, Curitiba, Paraná, Brazil.
  • Santos MDM; Laboratory for Structural and Computational Proteomics-Carlos Chagas Institute, Fiocruz Paraná, Curitiba, PR, Brazil.
  • Sprengel SL; Laboratory for Structural and Computational Proteomics-Carlos Chagas Institute, Fiocruz Paraná, Curitiba, PR, Brazil.
  • Zanine SC; Clinical Hospital of the Federal University of Paraná, Curitiba, Paraná, Brazil.
  • Borba LAB; Clinical Hospital of the Federal University of Paraná, Curitiba, Paraná, Brazil.
  • Carvalho PC; Clinical Hospital of the Federal University of Paraná, Curitiba, Paraná, Brazil.
  • da G Fischer JS; Laboratory for Structural and Computational Proteomics-Carlos Chagas Institute, Fiocruz Paraná, Curitiba, PR, Brazil.
PLoS One ; 18(11): e0290087, 2023.
Article in En | MEDLINE | ID: mdl-37967105
ABSTRACT
Astrocytic tumors are known for their high progression capacity and high mortality rates; in this regard, proteins correlated to prognosis can aid medical conduct. Although several genetic changes related to progression from grade 2 to grade 4 astrocytoma are already known, mRNA copies do not necessarily correlate with protein abundance and therefore could shadow further comprehension about this tumor's biology. This motivates us to seek for complementary strategies to study tumor progression at the protein level. Here we compare the proteomic profile of biopsies from patients with grade 2 (diffuse, n = 6) versus grade 4 astrocytomas (glioblastomas, n = 10) using shotgun proteomics. Data analysis performed with PatternLab for proteomics identified 5,206 and 6,004 proteins in the 2- and 4-grade groups, respectively. Our results revealed seventy-four differentially abundant proteins (p < 0.01); we then shortlist those related to greater malignancy. We also describe molecular pathways distinctly activated in the two groups, such as differences in the organization of the extracellular matrix, decisive both in tumor invasiveness and in signaling for cell division, which, together with marked contrasts in energy metabolism, are determining factors in the speed of growth and dissemination of these neoplasms. The degradation pathways of GABA, enriched in the grade 2 group, is consistent with a favorable prognosis. Other functions such as platelet degranulation, apoptosis, and activation of the MAPK pathway were correlated to grade 4 tumors and, consequently, unfavorable prognoses. Our results provide an important survey of molecular pathways involved in glioma pathogenesis for these histopathological groups.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Astrocytoma / Brain Neoplasms / Glioblastoma Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Brazil

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Astrocytoma / Brain Neoplasms / Glioblastoma Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Brazil