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Home > Press > An artificial intelligence probe help see tumor malignancy

A K+ sensitive dual-mode nanoprobe with superior magnetic resonance contrast effect and K+-specific fluorescence imaging performance is developed for non-invasive tumor imaging and malignancy identification via a cascaded ‘AND’ logic operation.
CREDIT
©Science China Press
A K+ sensitive dual-mode nanoprobe with superior magnetic resonance contrast effect and K+-specific fluorescence imaging performance is developed for non-invasive tumor imaging and malignancy identification via a cascaded ‘AND’ logic operation. CREDIT ©Science China Press

Abstract:
Tumor malignancy identification plays an essential role in clinical management of cancer. Currently, biopsy is the gold standard for malignancy identification in most tumor cases, it is, however, invasive that can cause great discomfort to patients, and potentially increase the risk of distant metastases due to the complex sampling process. With the development of molecular imaging probes, non-invasive medical imaging approaches, such as magnetic resonance imaging (MRI), fluorescence imaging (FI), computed tomography, and ultrasound, etc., have been used for non-invasive tumor diagnosis. Nevertheless, majority of imaging strategies are often dependent on imaging probes that lack specificity for identification of tumor malignancy.

An artificial intelligence probe help see tumor malignancy

Beijing, China | Posted on July 1st, 2022

Considering that necrotic cell death and overexpressed potassium ions (K+) channels are major hallmarks of malignant tumors, but not for benign ones, the extracellular K+ concentration is significantly elevated in the malignant tumor microenvironment compared with that of benign tissue. Based on this, a new research led by Prof. Daishun Ling from Shanghai Jiao Tong University reported a K+-sensitive dual-mode imaging probe (KDMN) to realize real-time tumor imaging while identifying the malignancy.

The KDMN consists of optical K+ indicators embedded in magnetic mesoporous silica nanoparticle, which is subsequently coated with a K+-selective membrane that exclusively permits the passage of K+ while excluding other cations. The KDMNs afford superior MR contrast effect and K+-specific FI performance. Moreover, KDMN-enhanced MRI confers attenuated signals at the tumor sites for effective tumor detection. Meanwhile, KDMN-based K+-sensitive FI provides a significant difference in fluorescence signals between malignant tumors and benign ones because there is an elevated extracellular K+ concentration in the malignant tumor microenvironment. Notably, the integration of KDMN-based MRI and FI via cascaded logic circuit has successfully achieved self-confirmation of dual-mode imaging results, thus allowing reliable and accurate imaging of tumor malignancy.

The study was recently published in National Science Review. The first author is Dr. Qiyue Wang, and the corresponding authors are Prof. Daishun Ling from Shanghai Jiao Tong University and Prof. Fangyuan Li from Zhejiang University. “This is the first demonstration of a K+-sensitive dual-mode imaging probe for MRI/FI-cross-checked diagnosis of tumor malignancy,” Prof. Ling said. “And this ion-sensitive cascaded ‘AND’ logic imaging strategy would pave the way for the development of next-generation imaging probes for highly sensitive and accurate diagnosis of ion dyshomeostasis associated diseases.”

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Bei Yan
Science China Press

Office: 86-10-64015905

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Daishun Ling
Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University

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