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Related Concept Videos

Tumor Immunotherapy01:27

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.

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Related Experiment Video

Updated: May 27, 2026

In Vivo Immunofluorescence Localization for Assessment of Therapeutic and Diagnostic Antibody Biodistribution in Cancer Research
08:53

In Vivo Immunofluorescence Localization for Assessment of Therapeutic and Diagnostic Antibody Biodistribution in Cancer Research

Published on: September 16, 2019

Recent trends in antibody-based oncologic imaging.

Sukhwinder Kaur1, Ganesh Venktaraman, Maneesh Jain

  • 1Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA.

Cancer Letters
|November 23, 2011
PubMed
Summary
This summary is machine-generated.

Antibodies offer precise cancer imaging, but challenges like slow clearance are being overcome. Engineered antibodies and new imaging methods enhance their diagnostic and therapeutic potential.

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Last Updated: May 27, 2026

In Vivo Immunofluorescence Localization for Assessment of Therapeutic and Diagnostic Antibody Biodistribution in Cancer Research
08:53

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Published on: September 16, 2019

Analyzing Tumor and Tissue Distribution of Target Antigen Specific Therapeutic Antibody
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Published on: May 16, 2020

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Determining Binding Affinity (KD) of Radiolabeled Antibodies to Immobilized Antigens

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Area of Science:

  • Biomedical imaging
  • Molecular imaging
  • Cancer diagnostics

Background:

  • Antibodies are highly specific probes for molecular imaging.
  • Clinical use is limited by slow clearance and non-specific tissue retention.
  • Optimizing antibody-based imaging requires significant effort.

Purpose of the Study:

  • To review advancements in antibody-based imaging for cancer.
  • To discuss novel antibody formats and conjugation strategies.
  • To explore integration with diverse imaging modalities.

Main Methods:

  • Review of preclinical and clinical studies.
  • Analysis of engineered antibody formats (e.g., nanobodies, diabodies).
  • Evaluation of antibody conjugates with various imaging agents (nuclear, optical, MRI, ultrasound, SERS, nanoshells).

Main Results:

  • Engineered antibodies show improved pharmacokinetic profiles.
  • New conjugation strategies enhance targeting efficiency.
  • Antibodies are successfully coupled with diverse imaging modalities for cancer detection.

Conclusions:

  • Advancements in antibody engineering and imaging probes are expanding clinical utility.
  • Antibody-based imaging shows promise for cancer diagnosis, prognosis, and therapy monitoring.
  • Integration with multiple imaging modalities offers comprehensive cancer assessment.