# Dual-modality theranostics probes: sintegrative strategies for precision management of oncologic malignancies

**Authors:** Xilin Jing, Yutao Li, Yijing Zhang, Yuqi Wang, Xiaohua Jia, Xing Yang, Kezhong Chen

PMC · DOI: 10.1093/lifemedi/lnaf037 · Life Medicine · 2025-11-19

## TL;DR

This review explores dual-modality theranostic probes that combine imaging and therapy for better cancer treatment and diagnosis.

## Contribution

The paper systematically evaluates design principles and proposes strategies to improve the translational potential of dual-modality probes.

## Key findings

- Dual-modality probes offer synergistic advantages like complementary imaging and real-time drug monitoring.
- Challenges include biosafety, metabolic stability, and imaging resolution, which can be addressed through structural optimization.
- Modality-specific probe selection based on cancer subtypes may enhance clinical outcomes.

## Abstract

Cancer remains a formidable global public health challenge. Recent advancements in immunotherapy and targeted therapies have revolutionized diagnostic and therapeutic paradigms. Within this context, theranostics—an emerging field integrating molecular imaging with therapeutic interventions—has shown promise in achieving precision oncology. Central to theranostic platforms are dual-modality probes utilizing positron emission tomography, fluorescence, and magnetic resonance imaging technologies, which offer synergistic advantages such as complementary imaging modalities, intraoperative guidance, and real-time drug delivery monitoring. Despite growing research interest and early clinical trials, critical challenges persist in biosafety, metabolic stability, and imaging resolution. Structural optimization of probes and modality-specific selection based on cancer subtypes may address these limitations. This review systematically evaluates the design principles and clinical applications of dual-modality probes and proposes actionable strategies to enhance their translational potential.

## Linked entities

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

## Full-text entities

- **Diseases:** Cancer (MESH:D009369), oncologic malignancies (MESH:D000072716)

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12812221/full.md

## References

262 references — full list in the complete paper: https://tomesphere.com/paper/PMC12812221/full.md

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Source: https://tomesphere.com/paper/PMC12812221