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Related Experiment Video

Updated: Oct 28, 2025

Using Micro-Electro-Mechanical Systems MEMS to Develop Diagnostic Tools
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Microenvironment-triggered multimodal precision diagnostics.

Liangliang Hao1,2, Nazanin Rohani1, Renee T Zhao2

  • 1Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.

Nature Materials
|July 16, 2021
PubMed
Summary

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This study introduces a novel multimodal nanosensor for early cancer detection and monitoring. The sensor targets tumors via acidosis, releases urinary reporters, and can use PET imaging for precise cancer localization and treatment response assessment.

Area of Science:

  • Oncology
  • Nanomedicine
  • Diagnostic Imaging

Background:

  • Precision diagnostics are crucial for improving oncologic outcomes through early detection and therapy monitoring.
  • Current methods for tumor localization and response assessment have limitations.

Purpose of the Study:

  • To develop and evaluate a multimodal nanosensor for non-invasive tumor detection, localization, and monitoring of treatment response in colorectal cancer models.
  • To demonstrate the sensor's ability to target tumors via acidosis and respond to the tumor microenvironment.

Main Methods:

  • Engineered a multimodal nanosensor targeting tumor acidosis and proteases.
  • Utilized urinary reporters for non-invasive monitoring.
  • Incorporated positron emission tomography (PET) probes for tumor visualization.

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Related Experiment Videos

Last Updated: Oct 28, 2025

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  • Tested in mouse models of colorectal cancer.

    • Main Results:

    • Acidosis-mediated tumor insertion enhanced reporter release in urine.
    • PET imaging with 64Cu enabled pH-dependent tumor visualization.
    • The nanosensor provided enriched microenvironmental characterization compared to 18F-fluorodeoxyglucose.
    • Demonstrated longitudinal assessment of tumor progression and chemotherapy response.

    Conclusions:

    • The multimodal nanosensor platform offers a novel approach for non-invasive cancer diagnostics and monitoring.
    • This modular platform can be engineered for pan-cancer applications to guide treatment decisions.
    • The sensor enables precise tumor localization and characterization of the tumor microenvironment.