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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models

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Jardim-Perassi, Bruna V. [1, 2] ; Huang, Suning [1, 3] ; Dominguez-Viqueira, William [4] ; Poleszczuk, Jan [5, 6] ; Budzevich, Mikalai M. [4] ; Abdalah, Mahmoud A. [7] ; Pillai, Smitha R. [1] ; Ruiz, Epifanio [4] ; Bui, Marilyn M. [8] ; Zuccari, Debora A. P. C. [2] ; Gillies, Robert J. [1] ; Martinez, Gary V. [4, 9]
Número total de Autores: 12
Afiliação do(s) autor(es):
[1] H Lee Moffitt Canc Ctr & Res Inst, Dept Canc Physiol, Tampa, FL - USA
[2] Fac Med Sao Jose Rio Do Preto, Sao Jose Do Rio Preto - Brazil
[3] Guangxi Tumor Hosp, Nanning, Guangxi - Peoples R China
[4] H Lee Moffitt Canc Ctr & Res Inst, Small Anim Imaging Lab, Tampa, FL - USA
[5] H Lee Moffitt Canc Ctr & Res Inst, Dept Integrat Math Oncol, Tampa, FL - USA
[6] Polish Acad Sci, Nalecz Inst Biocybernet & Biomed Engn, Warsaw - Poland
[7] H Lee Moffitt Canc Ctr & Res Inst, Image Response Assessment Team, Tampa, FL - USA
[8] H Lee Moffitt Canc Ctr & Res Inst, Dept Anat Pathol, Tampa, FL - USA
[9] Univ Texas MD Anderson Canc Ctr, Dept Imaging Phys, 1801 East Rd, Houston, TX 77054 - USA
Número total de Afiliações: 9
Tipo de documento: Artigo Científico
Fonte: Cancer Research; v. 79, n. 15, p. 3952-3964, AUG 1 2019.
Citações Web of Science: 1

It is well-recognized that solid tumors are genomically, anatomically, and physiologically heterogeneous. In general, more heterogeneous tumors have poorer outcomes, likely due to the increased probability of harboring therapy-resistant cells and regions. It is hypothesized that the genomic and physiologic heterogeneity are related, because physiologically distinct regions will exert variable selection pressures leading to the outgrowth of clones with variable genomic/proteomic profiles. To investigate this, methods must be in place to interrogate and define, at the microscopic scale, the cytotypes that exist within physiologically distinct subregions ({''}habitats{''}) that are present at mesoscopic scales. MRI provides a noninvasive approach to interrogate physiologically distinct local environments, due to the biophysical principles that govern MRI signal generation. Here, we interrogate different physiologic parameters, such as perfusion, cell density, and edema, using multiparametric MRI (mpMRI). Signals from six different acquisition schema were combined voxel-by-voxel into four clusters identified using a Gaussian mixture model. These were compared with histologic and IHC characterizations of sections that were coregistered using MRI-guided 3D printed tumor molds. Specifically, we identified a specific set of MRI parameters to classify viable-normoxic, viable-hypoxic, nonviable-hypoxic, and nonviable-normoxic tissue types within orthotopic 4T1 and MDA-MB-231 breast tumors. This is the first coregistered study to show that mpMRI can be used to define physiologically distinct tumor habitats within breast tumor models. Significance: This study demonstrates that noninvasive imaging metrics can be used to distinguish subregions within heterogeneous tumors with histopathologic correlation. (AU)

Processo FAPESP: 15/18541-3 - Análise radiômica em modelo animal de câncer de mama após o tratamento com melatonina
Beneficiário:Bruna Victorasso Jardim-Perassi
Linha de fomento: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado