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Biomedical subjects

Xiaoyi Wang

Publications and source records attributed to Xiaoyi Wang.

2 recordsLinked to original sources

Tumor microenvironment-simulated organoids for personalized therapy prediction in head and neck squamous cell carcinoma.

Patient-derived organoids (PDOs) have emerged as promising models for predicting personalized drug responses in cancer therapy. However, the absence of essential immune and stromal components limits their ability to recapitulate the tumor microenvironment. Here, we established a total of 30 patient-derived organoids (PDOs) from 79 patients with locally advanced (LA) and recurrent/metastatic (R/M) head and neck squamous cell carcinoma (HNSCC). These PDOs maintained sustained expansion capacity and preserved the histopathological characteristics and genomic heterogeneity of their parental tumors. By integrating autologous immune cells and cancer-associated fibroblasts (CAFs) into PDOs, respectively, microenvironment-simulated PDOs (MS-PDOs) were established using a feasible co-culture condition. Compared with conventional PDOs, MS-PDOs-PBMC exhibited specific cytotoxicity and responses to PD-1/PD-L1 inhibitors, while MS-PDOs-CAFs showed enhanced tolerance to chemotherapy drugs, indicating that microenvironment components modulate therapeutic responses in HNSCC. The drug response profiles of MS-PDOs exhibited diverse sensitivity to PD-1/PD-L1 inhibitors, chemotherapy drugs, and combination regimens. Notably, the therapeutic predictions of MS-PDOs were consistent with clinical treatment outcomes, supporting their translational relevance. Collectively, MS-PDOs serve as a robust platform for modeling the tumor microenvironment and predicting therapeutic responses, supporting precision medicine-guided clinical decision-making and offering personalized treatment strategies for HNSCC patients.

Humans

Global Evolution and Transmission Dynamics of Enterovirus D68.

Enterovirus D68 (EV-D68), a serotype of the enterovirus species D, has garnered significant attention due to outbreaks reported in 2014, 2016, and 2018. In this study, 36 Chinese EV-D68 strains were isolated, sequenced, and combined with all EV-D68 VP1 sequences from GenBank to form a data set of 1679 sequences. This data set served as the basis for phylogenetic, evolutionary dynamics, phylogeographic, and key amino acid site mutation analyses of EV-D68. Based on the VP1 region, EV-D68 is classified into four genotypes (A-D), and seven subgenotypes (B1-B3, D1-D4), with B3 and D3 being the predominant subgenotypes. Bayesian skyline plots indicated that genotypes B and D experienced multiple population expansions, aligning with reported EV-D68 outbreaks. Phylogeographic analyses of the B3 subgenotypes revealed sequences from Europe and North America clustering into a single evolutionary branch, suggesting significant transmission between these regions. Additionally, mutation analysis identified VP1-98 as a high-frequency mutation site, differing significantly between the previously prevalent A and C genotypes and the currently prevalent B and D genotypes. However, the functional implications of this mutation require further investigation. This study provides a solid theoretical basis for epidemiological research, disease surveillance, and prevention efforts related to EV-D68.

Enterovirus Infections