Owing to the high sensitivity and high spatial resolution, fluorescence (FL) imaging has been widely applied for visualizing biological processes. To gain insight into molecular events on deeper tissues, photoacoustic (PA) imaging with better deep-tissue imaging capability can be incorporated to provide complementary visualization and quantitative information on the pathological status. However, the development of activatable imaging probes to achieve both FL and PA signal amplification remains challenging because the enhancement of light absorption in PA imaging often caused the quenching of FL signal. Herein, we first developed a caspase-3 enzyme activatable nanoprobe of a nanogapped gold nanoparticle coated with AIE molecule INT20 and DEVD peptides (AuNNP@DEVD-INT20) for tumor FL and PA imaging and subsequent imaging-guided radiotherapy. The nanoprobe could interact with GSH and caspase-3 enzyme to liberate INT20 molecules, leading to AIE. Simultaneously, the in situ self-assembly of AuNPs was achieved through the cross-linking reaction between the sulfhydryl and the maleimide, resulting in ratiometric PA imaging in tumor. Remarkably, the nanoprobe can generate richful ROS for cancer radiotherapy under X-ray irradiation. The platform not only achieves the aggregation-induced FL and PA signal enhancement but also provides a general strategy for imaging of various biomarkers, eventually benefiting precise cancer therapy.
Background: To aid clinicians strategizing treatment for upper esophageal squamous cell carcinoma (ESCC), this retrospective study investigated associations between primary gross tumor volume (GTVp) and prognosis in patients given surgical resection, radiotherapy, or both resection and radiotherapy. Methods: The population comprised 568 patients with upper ESCC given definitive treatment, including 238, 216, and 114 who underwent surgery, radiotherapy, or combined radiotherapy and surgery. GTVp as a continuous variable was entered into the multivariate Cox model using penalized splines (P-splines) to determine the optimal cutoff value. Propensity score matching (PSM) was used to adjust imbalanced characteristics among the treatment groups. Results: P-spline regression revealed a dependence of patient outcomes on GTVp, with 30 cm3 being an optimal cut-off for differences in overall and progression-free survival (OS, PFS). GTVp ≥ 30 cm3 was a negative independent prognostic factor for OS and PFS. PSM analyses confirmed the prognostic value of GTVp. For GTVp < 30 cm3, no significant survival differences were observed among the 3 treatments. For GTVp ≥ 30 cm3, the worst 5-year OS rate was experienced by those given surgery. The 5-year PFS rate of patients given combined radiotherapy and surgery was significantly better than that of patients given radiotherapy. The surgical complications of patients given the combined treatment were comparable to those who received surgery, but radiation side effects were significantly lower. Conclusion: GTVp is prognostic for OS and PFS in upper ESCC. For patients with GTVp ≥ 30 cm3, radiotherapy plus surgery was more effective than either treatment alone.
Background. Nasopharyngeal carcinoma (NPC) is an epithelial malignancy with high morbidity rates in the east and southeast Asia. The molecular mechanisms of NPC remain largely unknown. We explored the pathogenesis, potential biomarkers, and prognostic indicators of NPC.Methods. We analyzed mRNAs, long non-coding RNAs (lncRNAs), and microRNAs (miRNAs) in the whole transcriptome sequencing dataset of our hospital (five normal tissues vs. five NPC tissues) and six microarray datasets (62 normal tissues vs. 334 NPC tissues) downloaded from the Gene Expression Omnibus (GSE12452, GSE13597, GSE95166, GSE126683, and GSE70970, GSE43039). Differential expression analyses, gene ontology (GO) enrichment, kyoto encyclopedia of genes and genomes (KEGG) analysis, and gene set enrichment analysis (GSEA) were conducted. The lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) networks were constructed using the miRanda and TargetScan database, and a protein-protein interaction (PPI) network of differentially expressed genes (DEGs) was built using Search Tool for the Retrieval of Interacting Genes (STRING) software. Hub genes were identified using Molecular Complex Detection (MCODE), NetworkAnalyzer, and CytoHubba.Results. We identified 61 mRNAs, 14miRNAs, and 10 lncRNAs as shared DEGs related to NPC in seven datasets. Changes in NPC were enriched in the chromosomal region, sister chromatid segregation, and nuclear chromosome segregation. GSEA indicated that the mitogen-activated protein kinase (MAPK) pathway, phosphatidylinositol-3 OH kinase/protein kinase B (PI3K-Akt) pathway, apoptotic pathway, and tumor necrosis factor (TNF) were involved in the initiation and development of NPC. Finally, 20 hub genes were screened out via the PPI network.Conclusions. Several DEGs and their biological processes, pathways, and interrelations were found in our current study by bioinformatics analyses. Our findings may offer insights into the biological mechanisms underlying NPC and identify potential therapeutic targets, biomarkers and prognostic indicators for NPC.
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