Research demonstrates improved tumor visualization in clinical samples, suggesting better resection outcomes.
by introducing a γ-glutamyltransferase substrate, following our group's prior offensive and defensive integration strategy. Due to its smart design, CN-D-GGT, upon activation, shows marked changes in fluorescence and photoacoustic signals, enabling its application for multi-modal imaging. It also has high specificity, distinguishing cancer cells in co-culture (∼6-fold) and clearly differentiating tumors from normal and inflamed tissues (T/N or T/I signal ratios > 3.5). Importantly, it can also differentiate cancerous from adjacent tissues in clinical samples. This work has developed a probe that can accurately light tumors in complex pathological environments, with the potential to assist in intraoperative resection decision-making, avoid excessive or missed resection.
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Shen et al. (2026) studied this question.
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