Amonafide Maleate

SUMOylation, an important post-translational protein modification, plays a critical role in cancer development and immune processes. This study aimed to construct diagnostic and prognostic models for cervical cancer (CC) using SUMOylation-related genes (SRGs) and explore their implications for novel clinical therapies. We analyzed the expression profiles of SRGs in CC patients and identified 15 SRGs associated with CC occurrence. After the subsequent qPCR verification of 20 cases of cancer and adjacent tissues, 13 of the 15 SRGs were differentially expressed in cancer tissues. Additionally, we identified molecular markers associated with the prognosis and recurrence of CC patients, based on SRGs. Next, a SUMOScore, based on SRG expression patterns, was generated to stratify patients into different subgroups. The SUMOScore showed significant associations with the tumor microenvironment, immune function features, immune checkpoint expression, and immune evasion score in CC patients, highlighting the strong connection between SUMOylation factors and immune processes. In terms of immune therapy, our analysis identified specific chemotherapy drugs with higher sensitivity in the subgroups characterized by high and low SUMOScore, indicating potential treatment options. Furthermore, we conducted drug sensitivity analysis to evaluate the response of different patient subgroups to conventional chemotherapy drugs. Our findings revealed enrichment of immune-related pathways in the low-risk subgroup identified by the prognostic model. In conclusion, this study presents diagnostic and prognostic models based on SRGs, accompanied by a comprehensive index derived from SRGs expression patterns. These findings offer valuable insights for CC diagnosis, prognosis, treatment, and immune-related analysis.

Organic nanocrystals, particularly those composed of conjugated molecules, hold immense potential for various applications. However, their practical utility is often hindered by the challenge of achieving stable aqueous dispersions, which are essential for biological compatibility and effective delivery. This study introduces a novel and versatile strategy for preparing stable aqueous organic nanocrystals using a modified reprecipitation method. We demonstrate the broad applicability of this approach by successfully preparing a diverse library of nanocrystals from 27 conjugated molecules. Our findings reveal a charge-balanced aggregation mechanism for nanocrystal formation, highlighting the crucial role of surface charge in controlling particle size and stability. Based on this mechanism, we establish a comprehensive molecular combination strategy that directly links molecular properties to colloidal behaviour, enabling the straightforward prediction and preparation of stable aqueous dispersions without the need for excipients. This strategy provides a practical workflow for tailoring the functionality of these nanocrystals for a wide range of applications. To illustrate their therapeutic potential, we demonstrate the enhanced efficacy of these nanocrystals in treating acute ulcerative colitis, myocardial ischemia/reperfusion injury, and cancer in mouse models. This work paves the way for developing next-generation nanomaterials with tailored functionalities for diverse biomedical applications.