Investigator

Yang Zhang

Dalian University of Technology

YZYang Zhang
Papers(4)
Plasmonic Fiber Optic…The vasculogenic mimi…Multiregion whole-gen…FOXA1 Leads to Aberra…
Institutions(1)
Liaoning Cancer Hospi…

Papers

Plasmonic Fiber Optic Sensing Platform for Point-of-Care Pharmacokinetic Monitoring of Platinum Chemotherapeutics: Toward Ultratrace Multi-omics Precision Chemotherapy Management

Precision chemotherapy management requires efficient and ultrasensitive dynamic monitoring of drug pharmacokinetics alongside real-time tracking of critical biomarker responses, yet existing clinical diagnostic systems neither achieve real-time integration of these critical parameters nor provide point-of-care testing (POCT) capabilities within a unified analytical framework. Here, we develop a plasmonic fiber-optic sensing platform based on tilted fiber Bragg grating surface plasmon resonance (TFBG-SPR) for point-of-care pharmacokinetic monitoring of platinum chemotherapeutics. By utilizing programmable DNA-based biosensors, our system achieves femtomolar-level detection limits for platinum drugs in minimal sample volumes (10 μL, 100-fold dilution). The platform's modular design enables rapid adaptation to diverse molecular targets with ultratrace multichannel spectral detection, providing inherent capability for parallelized multiomics monitoring by simultaneously addressing chemotherapeutics, DNA, RNA, and protein targets. In a longitudinal clinical cohort study via our proposed sensing platform, we observed an inverse correlation between platinum drug concentrations and miRNA-21 expression levels in colorectal cancer patients undergoing dose-adjusted chemotherapy, while ovarian cancer patients exhibited dynamic miRNA-21 responses to platinum drug concentration variations. These findings highlight the potential utility of miRNA-21 as a candidate biomarker for further investigation into drug efficacy and tumor progression mechanisms. By integrating ultratrace drug monitoring with targeted multiomics profiling on a unified platform─a critical prerequisite for data standardization in future artificial intelligence-driven analysis, our platform bridges the gap between clinical pharmacokinetics and molecular biomarker analysis, offering a fundamental POCT tool for precision chemotherapy optimization and personalized cancer management.

Multiregion whole-genome sequencing depicts intratumour heterogeneity and punctuated evolution in ovarian clear cell carcinoma

BackgroundOvarian clear cell carcinoma (OCCC) arises from endometriosis and represents a difficult-to-treat gynaecological malignancy, in part, because its spatial intratumour heterogeneity and temporal evolutionary trajectories have not been explicitly defined.MethodsWe performed whole-genome sequencing on six pathologically confirmed patients with OCCC. An R package named KataegisPortal was developed to identify and annotate loci of localised hypermutations. Immunohistochemical staining was conducted on a tissue microarray containing 143 OCCC specimens.ResultsMultiregion analysis demonstrated considerable degrees of subclonal diversification, ascribable to dynamic mutagenic processes, as well as macroevolutionary events including the acquisition of aneuploidy and chromoplexy. KataegisPortal unveiled APOBEC-mediated kataegis in the early phases of OCCC pathogenesis. We further showed evidence that APOBEC3A and APOBEC3B were frequently expressed in OCCC and possibly regulated by the MAPK pathway. Notably, APOBEC3B-expressing OCCC displayed favourable prognosis and appreciable immunogenicity manifested by marked cytotoxic T-cell infiltration.ConclusionsThese results point to an appealing model of punctuated tumour evolution underlying OCCC neoplastic transformation and progression, which may pose formidable challenges of early detection and intervention, and indicate the intratumour heterogeneity of cancer-driving alterations, yielding important implications for molecular diagnosis and targeted treatment of this lethal disease.

94Works
4Papers
Ovarian NeoplasmsColorectal Neoplasms

Positions

Researcher

Dalian University of Technology

Links & IDs
0000-0003-3722-6807

Scopus: 57266780600

Researcher Id: JQJ-0147-2023