Microsatellite instability states serve as predictive biomarkers for tumors chemotherapy sensitivity

Design and synthesis of N-aryl-2-trifluoromethyl-quinazoline-4-amine derivatives as potential Werner-dependent antiproliferative agents

To discover new Werner (WRN) helicase inhibitors, a series of N-aryl-2-trifluoromethyl-quinazoline-4-amine derivatives were designed and synthesized through a structural optimization strategy, and the anticancer activities of 25 new target compounds against PC3, K562, and HeLa cell lines were evaluated by the MTT assay. Some of these compounds exhibited excellent inhibitory activity against three different cancer cell lines. Compounds 6a, 8i, and 13a showed better antiproliferative activity against K562 cells, with IC50 values of 3871.5, 613.6 and 134.7 nM, respectively, than did paclitaxel (35.6 nM), doxorubicin (2689.0 nM), and NSC 617145 (20.3 nM). To further verify whether the antiproliferative activity of these compounds is dependent on WRN, PC3 cells overexpressing WRN (PC3-WRN) were constructed to further study their antiproliferative potency in vitro, and the inhibition ratio and IC20 values showed that compounds 6a, 8i, and 13a were more sensitive to PC3-WRN than were the control group cells (PC3-NC). The IC20 ratios of compounds 6a, 8i, and 13a to PC3-NC and PC3-WRN were 94.3, 153.4 and 505.5, respectively. According to the docking results, the compounds 6a, 8i, and 13a overlapped well with the binding pocket of 6YHR. Further study demonstrated that among the tested compounds, 13a was the most sensitive to PC3-WRN. In summary, our research identified a series of N-aryl-2-trifluoromethyl-quinazoline-4-amine derivatives as potential WRN-dependent anticancer agents.

Mitochondria-related chemoradiotherapy resistance genes-based machine learning model associated with immune cell infiltration on the prognosis of esophageal cancer and its value in pan-cancer

Esophageal cancer, known for its high incidence and low five-year survival rate, poses significant treatment challenges. A key aspect of this challenge is the close link between mitochondria and resistance to chemoradiotherapy (CRT). Currently, there is a scarcity of biomarkers for predicting CRT response and prognosis in esophageal cancer. Our study addresses this gap by developing a prognostic model that incorporates mitochondria-related CRT resistance (MRCRTR) genes, including CTSL, TBL1X, CLN8, MMP1, PDPN, and MRPL37. Survival analysis using Kaplan-Meier curves reveals that patients with high MRCRTR scores have lower survival rates than those with low scores. Utilizing a nomogram, we successfully predict the one-, two-, and three-year overall survival rates for esophageal cancer patients. Cox regression analysis confirms the MRCRTR score as an independent prognostic factor. Furthermore, our single-cell and correlation analyses suggested that MRCRTR genes might influence CRT resistance by modulating the immune microenvironment and impacting angiogenesis. Our pan-cancer analysis also indicates the potential applicability of MRCRTR scores to head and neck squamous cell carcinoma. The validation of these findings, conducted with samples from Xiang-ya Hospital, aligns closely with our bioinformatics results. Our study not only explores the role of MRCRTR genes in predicting the prognosis of esophageal cancer but also enhances the understanding of the interplay between CRT, mitochondria, and patient outcomes.