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A Highly Sensitive Flow Cytometric Approach to Detect Rare Antigen-Specific T Cells: Development and Comparison to
Meytal Dror Levinsky1,2,3, Baruch Brenner3,4, Michal Yalon3,5
1The Cancer Immunotherapy Laboratory, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel.
Cancers
|February 11, 2023
Summary
A new flow cytometry (FCM) method enhances cancer immunotherapy by detecting rare T-cell responses to tumor antigens. This approach improves the sensitivity of personalized cancer vaccine efficacy monitoring.
Area of Science:
- Immunology
- Oncology
- Biotechnology
Background:
- Personalized vaccines targeting tumor-associated antigens are key in cancer immunotherapy.
- Assessing vaccine efficacy relies on quantifying antigen-specific T-cell responses.
- Existing methods like ELISpot and standard FCM struggle with low-frequency T-cell signals.
Purpose of the Study:
- To develop a more sensitive flow cytometry (FCM) method for detecting rare T-cell responses.
- To improve the monitoring of personalized cancer vaccine efficacy.
Main Methods:
- Developed an enhanced FCM panel incorporating early activation markers 4-1BB (CD137) and CD40L (CD154).
- Compared the new FCM panel against standard FCM and ELISpot for sensitivity in detecting T-cell responses.
- Measured frequencies of antigen-specific T cells, including IFNγ-producing cells.
Main Results:
- Standard FCM and ELISpot showed high background IFNγ secretion, often exceeding the antigen-specific signal.
- The enhanced FCM panel significantly reduced background noise, with frequencies decreasing by 19-fold for CD4 T cells and 13-fold for CD8 T cells.
- The new method enabled sensitive quantification of rare T-cell populations responding to tumor antigens.
Conclusions:
- The enhanced FCM methodology offers a highly sensitive approach for monitoring T-cell responses to tumor-associated antigens.
- This technique is crucial for evaluating the clinical relevance of low-frequency T-cell responses in cancer immunotherapy.
- The improved detection of T-cell activity supports the development and application of personalized cancer vaccines.

