Functional clustering of metastasis proteins describes plastic adaptation resources of breast-cancer cells to new microenvironments.
To examine the molecular mechanisms underlying breast cancer metastasis in liver and search for potential markers of metastatic progression in soft-tissue, we analyzed metastatic variants developed from the highly metastatic MDA-MB 435 cell line through in vivo stepwise selection in the athymic mice. Comparative proteomic analysis using two-dimensional electrophoresis (2DE-DIGE) revealed that 74 protein spots were reproducibly more than doubled in liver metastatic cells compared to parental counterpart. From 22 proteins identified by MALDI-TOF, belonging to intermediate filaments, intracellular transport and ATP synthesis, we generated a protein-protein interaction network containing 496 nodes, 12 of which interacted. GRP 75 was connected with four other proteins: prohibitin, HSP 27, elongin B and macropain delta chain. After functional classification, we found that pathways including hepatocyte growth factor receptor (p = 0.014), platelet-derived growth factor (p = 0.018), vascular endothelial growth factor (p = 0.021) and epidermal growth factor (p = 0.050) were predominant in liver metastatic cells, but not in lung metastatic cells. In conclusion, we suggest that GRP 75 is involved in cell proliferation, tumorigenesis and stress response in metastatic cells by recruiting signals in which the transmembrane receptor protein tyrosine kinase signaling pathway (p-value FDR = 1.71 x 10(-2)) and protein amino acid phosphorylation (p-value FDR = 3.28 x 10(-2)) might be the most significant biological process differentially increased in liver metastasis.
Martín
Berta
B
Centre d'Oncologia Molecular, IDIBELL, Hospital Duran i Reynals, CSUB, L'Hospitalet Llobregat, Barcelona, Spain.
Sanz
Rebeca
R
Aragüés
Ramón
R
Oliva
Baldo
B
Sierra
Angels
A
D000818:Animals; D000970:Antineoplastic Agents / Q000494:pharmacology; D001549:Benzamides; D001943:Breast Neoplasms / Q000378:metabolism* / Q000473:pathology; D045744:Cell Line, Tumor; D049109:Cell Proliferation / Q000187:drug effects; D016000:Cluster Analysis; D019295:Computational Biology; D015180:Electrophoresis, Gel, Two-Dimensional; D005260:Female; D006801:Humans; D000068877:Imatinib Mesylate; D008113:Liver Neoplasms / Q000378:metabolism* / Q000556:secondary; D008175:Lung Neoplasms / Q000378:metabolism* / Q000556:secondary; D051379:Mice; D008819:Mice, Nude; D009368:Neoplasm Transplantation; D009928:Organ Specificity; D010879:Piperazines / Q000494:pharmacology; D025941:Protein Interaction Mapping; D011505:Protein-Tyrosine Kinases / Q000037:antagonists & inhibitors; D020543:Proteome / Q000378:metabolism*; D011743:Pyrimidines / Q000494:pharmacology; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D014183:Transplantation, Heterologous
D000970:Antineoplastic Agents; D001549:Benzamides; D010879:Piperazines; D020543:Proteome; D011743:Pyrimidines; D000068877:Imatinib Mesylate; D011505:Protein-Tyrosine Kinases