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Comparative oncology chemosensitivity assay for personalized medicine using low-coherence digital holography of dynamic light scattering from cancer biopsies.
Hua, Zhen; Li, Zhe; Lim, Dawith; Ajrouch, Ali; Karkash, Ahmad; Jalal, Shadia; Childress, Michael; Turek, John; Nolte, David.
Afiliação
  • Hua Z; Department of Physics, Purdue University, West Lafayette, USA.
  • Li Z; Department of Physics, Purdue University, West Lafayette, USA.
  • Lim D; Department of Physics, Purdue University, West Lafayette, USA.
  • Ajrouch A; Division of Hematology/Oncology, Indiana University School of Medicine, Indianapolis, USA.
  • Karkash A; Division of Hematology/Oncology, Indiana University School of Medicine, Indianapolis, USA.
  • Jalal S; Division of Hematology/Oncology, Indiana University School of Medicine, Indianapolis, USA.
  • Childress M; Department of Veterinary Clinical Sciences, Purdue University, West Lafayette, USA.
  • Turek J; Department of Basic Medical Sciences, Purdue University, West Lafayette, USA.
  • Nolte D; Department of Physics, Purdue University, West Lafayette, USA. nolte@purdue.edu.
Sci Rep ; 14(1): 2760, 2024 02 08.
Article em En | MEDLINE | ID: mdl-38332203
ABSTRACT
Nearly half of cancer patients who receive standard-of-care treatments fail to respond to their first-line chemotherapy, demonstrating the pressing need for improved methods to select personalized cancer therapies. Low-coherence digital holography has the potential to fill this need by performing dynamic contrast OCT on living cancer biopsies treated ex vivo with anti-cancer therapeutics. Fluctuation spectroscopy of dynamic light scattering under conditions of holographic phase stability captures ultra-low Doppler frequency shifts down to 10 mHz caused by light scattering from intracellular motions. In the comparative preclinical/clinical trials presented here, a two-species (human and canine) and two-cancer (esophageal carcinoma and B-cell lymphoma) analysis of spectral phenotypes identifies a set of drug response characteristics that span species and cancer type. Spatial heterogeneity across a centimeter-scale patient biopsy sample is assessed by measuring multiple millimeter-scale sub-samples. Improved predictive performance is achieved for chemoresistance profiling by identifying red-shifted sub-samples that may indicate impaired metabolism and removing them from the prediction analysis. These results show potential for using biodynamic imaging for personalized selection of cancer therapy.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Holografia / Neoplasias Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Holografia / Neoplasias Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido