Login / Signup

RapidET: a MEMS-based platform for label-free and rapid demarcation of tumors from normal breast biopsy tissues.

Anil Vishnu G KGayatri GogoiBhagaban BeheraSaeed RilaAnnapoorni RangarajanHardik J Pandya
Published in: Microsystems & nanoengineering (2022)
The rapid and label-free diagnosis of malignancies in ex vivo breast biopsy tissues has significant utility in pathology laboratories and operating rooms. We report a MEMS-based platform integrated with microchips that performs phenotyping of breast biopsy tissues using electrothermal sensing. The microchip, fabricated on a silicon substrate, incorporates a platinum microheater, interdigitated electrodes (IDEs), and resistance temperature detectors (RTDs) as on-chip sensing elements. The microchips are integrated onto the platform using a slide-fit contact enabling quick replacement for biological measurements. The bulk resistivity ( ρ B ), surface resistivity ( ρ S ), and thermal conductivity ( k ) of deparaffinized and formalin-fixed paired tumor and adjacent normal breast biopsy samples from N  = 8 patients were measured. For formalin-fixed samples, the mean ρ B for tumors showed a statistically significant fold change of 4.42 ( P  = 0.014) when the tissue was heated from 25 °C to 37 °C compared to the adjacent normal tissue, which showed a fold change of 3.47. The mean ρ S measurements also showed a similar trend. The mean k of the formalin-fixed tumor tissues was 0.309 ± 0.02 W m -1  K -1 compared to a significantly higher k of 0.563 ± 0.028 W m -1  K -1 for the adjacent normal tissues. A similar trend was observed in ρ B , ρ S , and k for the deparaffinized tissue samples. An analysis of a combination of ρ B , ρ S , and k using Fisher's combined probability test and linear regression suggests the advantage of using all three parameters simultaneously for distinguishing tumors from adjacent normal tissues with higher statistical significance.
Keyphrases
  • label free
  • gene expression
  • high throughput
  • ultrasound guided
  • fine needle aspiration
  • newly diagnosed
  • prognostic factors
  • mass spectrometry
  • reduced graphene oxide
  • carbon nanotubes