Using the method of meta-analysis to systematically evaluate the consistency of treatment schemes between Watson for Oncology (WFO) and Multidisciplinary Team (MDT), and to provide references for the practical application of artificial intelligence clinical decision-support system in cancer treatment. We systematically searched articles about the clinical applications of Watson for Oncology in the databases and conducted meta-analysis using RevMan 5.3 software. A total of 9 studies were identified, including 2463 patients. When the MDT is consistent with WFO at the ‘Recommended’ or the ‘For consideration’ level, the overall concordance rate is 81.52%. Among them, breast cancer was the highest and gastric cancer was the lowest. The concordance rate in stage I–III cancer is higher than that in stage IV, but the result of lung cancer is opposite (P < 0.05).Similar results were obtained when MDT was only consistent with WFO at the "recommended" level. Moreover, the consistency of estrogen and progesterone receptor negative breast cancer patients, colorectal cancer patients under 70 years old or ECOG 0, and small cell lung cancer patients is higher than that of estrogen and progesterone positive breast cancer patients, colorectal cancer patients over 70 years old or ECOG 1–2, and non-small cell lung cancer patients, with statistical significance (P < 0.05). Treatment recommendations made by WFO and MDT were highly concordant for cancer cases examined, but this system still needs further improvement. Owing to relatively small sample size of the included studies, more well-designed, and large sample size studies are still needed.
Protein therapy offers promising prospects for the treatment of various important diseases, thus it is highly desirable to develop a robust carrier that can deliver active proteins into cells. The development of a novel protein delivery platform based on the self‐assembly of multiarmed amphiphilic cyclodextrins (CDEH) is reported. CDEH can self‐assemble into nanoparticles in aqueous solution and achieve superior encapsulation of protein (loading capacity > 30% w/w) simply by mixing with protein solution without introducing any subsequent cumbersome steps that may inactivate proteins. More importantly, CDEH nanovehicles can be easily further modified with various targeting groups based on host–guest complexation. Using saporin as a therapeutic protein, AS1411‐aptamer‐modified CDEH nanovehicles can preferentially accumulate in tumors and efficiently inhibit tumor growth in a MDA‐MB‐231 xenograft mouse model. Moreover, folate‐targeted CDEH nanovehicles can also deliver Cas9 protein and Plk1‐targeting sgRNA into Hela cells, leading to 47.1% gene deletion and 64.1% Plk1 protein reduction in HeLa tumor tissue, thereby effectively suppressing the tumor progression. All these results indicate the potential of targeted CDEH nanovehicles in intracellular protein delivery for improving protein therapeutics.
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