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Metas-Chip precisely identifies presence of micrometastasis in live biopsy samples by label free approach

Author

Listed:
  • Mohammad Saeid Nikshoar

    (University of Tehran
    University of Tehran)

  • Mohammad Ali Khayamian

    (University of Tehran
    University of Tehran)

  • Saeid Ansaryan

    (University of Tehran
    University of Tehran)

  • Hassan Sanati

    (ACECR)

  • Milad Gharooni

    (University of Tehran
    University of Tehran)

  • Leila Farahmand

    (ACECR)

  • Farshad Rezakhanloo

    (University of Tehran
    University of Tehran)

  • Keivan Majidzadeh-A

    (ACECR)

  • Parisa Hoseinpour

    (ACECR)

  • Shahrzad Dadgari

    (ACECR)

  • Leila Kiani-M

    (ACECR)

  • Mohammad Saqafi

    (University of Tehran
    University of Tehran)

  • Masoumeh Gity

    (Tehran University of Medical Sciences
    Tehran University of Medical Sciences)

  • Mohammad Abdolahad

    (University of Tehran
    University of Tehran)

Abstract

Detecting the micrometastasis is a major challenge in patients’ survival. The small volume of the biopsied tissue results in limited number of histopathological samples and might reduce the rate of accurate diagnosis even by molecular technologies. We introduce a microelectronic biochip (named Metas-Chip) to detect the micrometastasis in unprocessed liquid or solid samples. It works based on the tendency of malignant cells to track single human umbilical vein endothelial cell (HUVEC)-sensing traps. Such cells detach themselves from the biopsied sample and invade the sensing traps by inducing membrane retraction and blebbing, which result in sharp changes in electrical response of the sensing elements. Metas-Chip identified the metastasis in more than 70 breast cancer patients, in less than 5 h. Moreover it detected the metastasis in lymph nodes of nine patients whom were missed by conventional pathological procedure. Multilevel IHC and real-time polymerase chain reaction (RT-PCR) tests confirmed the diagnosis.

Suggested Citation

  • Mohammad Saeid Nikshoar & Mohammad Ali Khayamian & Saeid Ansaryan & Hassan Sanati & Milad Gharooni & Leila Farahmand & Farshad Rezakhanloo & Keivan Majidzadeh-A & Parisa Hoseinpour & Shahrzad Dadgari , 2017. "Metas-Chip precisely identifies presence of micrometastasis in live biopsy samples by label free approach," Nature Communications, Nature, vol. 8(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-02184-x
    DOI: 10.1038/s41467-017-02184-x
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