RESUMO
How to improve the performance of circulating tumor DNA (ctDNA) signal acquisition and the accuracy to authenticate ultra low-frequency mutation are major challenges of minimal residual disease (MRD) detection in solid tumors. In this study, we developed a new MRD bioinformatics algorithm, namely multi-variant joint confidence analysis (MinerVa), and tested this algorithm both in contrived ctDNA standards and plasma DNA samples of patients with early non-small cell lung cancer (NSCLC). Our results showed that the specificity of multi-variant tracking of MinerVa algorithm ranged from 99.62% to 99.70%, and when tracking 30 variants, variant signals could be detected as low as 6.3 × 10 -5 variant abundance. Furthermore, in a cohort of 27 NSCLC patients, the specificity of ctDNA-MRD for recurrence monitoring was 100%, and the sensitivity was 78.6%. These findings indicate that the MinerVa algorithm can efficiently capture ctDNA signals in blood samples and exhibit high accuracy in MRD detection.
Assuntos
Humanos , Carcinoma Pulmonar de Células não Pequenas/genética , Neoplasias Pulmonares/genética , Neoplasia Residual/patologia , Biomarcadores Tumorais/genética , Biologia ComputacionalRESUMO
<p><b>AIM</b>To improve the profile of 20 (S)-camptothecin, a series of 20-O-linked camptothecin phenoxyacetic acid ester derivatives have been designed.</p><p><b>METHODS</b>These derivatives were synthesized by the method of acylation. Their chemical structures were confirmed with 1HNMR, IR, MS, and HRMS. The cytotoxicities of the compounds were tested by MTT assay. The in vivo antitumor activities of these esters were evaluated against mouse liver tumor H22 in mice.</p><p><b>RESULTS</b>Twelve derivatives of camptothecin ester are new compounds.</p><p><b>CONCLUSION</b>In vitro and in vivo antitumor activity has indicated that some derivatives appeared significantly more effective than topotecan in the H22 mouse liver tumoral model.</p>