# Evanescent Wave-Based Photonic Biosensors for the Design and Evaluation of Advanced Cancer Immunotherapies

**Authors:** César S. Huertas, Laura M. Lechuga, Maria Soler

PMC · DOI: 10.1021/acs.analchem.5c07797 · Analytical Chemistry · 2026-02-27

## TL;DR

This paper discusses how evanescent wave-based photonic biosensors can improve the design and evaluation of cancer immunotherapies by enabling real-time, noninvasive monitoring of cellular activity.

## Contribution

The paper introduces the potential of label-free optical biosensors to overcome limitations in current immunotherapy evaluation methods.

## Key findings

- Evanescent wave biosensors allow sensitive and high-resolution analysis of cellular regulation and signaling.
- These biosensors offer multiplexed capabilities for rapid screening and real-time monitoring of immune responses.
- They can support the development of more precise and effective next-generation immunotherapies.

## Abstract

Personalized immunotherapies hold great promise for correcting
cellular dysfunction, inhibiting tumor growth, and even achieving
durable cancer eradication. However, conventional analytical methods
used to design and evaluate immunotherapies often fall short as they
typically cannot monitor cell activity in real time, lack multiplexed
capabilities for rapid screening, and require complex sample preparation.
These limitations impede a full understanding of the dynamic immune
responses that drive therapeutic outcomes. Label-free optical biosensors
based on evanescent wave interactions provide a compelling alternative,
enabling sensitive, noninvasive, and high-resolution analysis of cellular
regulation, signaling, and therapy-induced molecular changes. In this
perspective, we highlight recent advances in optical biosensor technologies
for molecular and cell analysis and explore their potential to accelerate
the development, optimization, and precision application of next-generation
immunotherapies.

## Linked entities

- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Diseases:** Cancer (MESH:D009369)

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12980497/full.md

## References

54 references — full list in the complete paper: https://tomesphere.com/paper/PMC12980497/full.md

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Source: https://tomesphere.com/paper/PMC12980497