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Construction and effect research of Artificial Intelligence-based Standardized patient CBL teaching model -- A case study of colorectal cancer teaching for clinical specialists

ABSTRACT: Interventions: control group:Case-based learning (CBL) teaching based on traditional standardized patient (SP);experimental group:Case-based learning (CBL) teaching based on AI standardized patient (SP) Primary outcome(s): Theoretical test results Study Design: Parallel

PROVIDER: 88140 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Project description:Chromothripsis represents an extreme class of complex chromosome rearrangements (CCRs) with major effects on chromosomal architecture. Although recent studies have associated chromothripsis with congenital abnormalities, the incidence and pathogenic effects of this phenomenon require further investigation. Here, we analyzed the genomes of three families in which chromothripsis rearrangements were transmitted from a female carrier to her child. The chromothripsis in the carriers resulted in completely balanced rearrangements involving 8-23 breakpoint junctions across 3-5 chromosomes. Two carriers did not show any phenotypic malformations, although 3-13 protein coding genes were affected by breakpoints. Unbalanced but stable transmission of a subset of the derivative chromosomes caused apparently de novo complex copy number changes in two children. This resulted in gene dosage changes, which are likely responsible for their severe congenital phenotypes. In contrast, one patient with severe congenital disease, carried all three chromothripsis chromosomes from his healthy mother, but one of the chromosomes acquired de novo rearrangements leading to copy number changes. These results show that the human genome can tolerate extreme reshuffling of chromosomal architecture, including breakage of multiple protein coding genes, without noticeable phenotypic effects. The presence of chromothripsis in healthy carriers strongly affects reproduction and is expected to substantially increase the risk of spontaneous abortions and severe congenital disease. We analyzed one patient-parent-mother's parents quintet (case 1) and a patient-siblings-parent quintet (case 2) with Illumina beadchip arrays and one patient-parent trio (case 3) to test for (de novo) copy number variants and to analyze the parental origin of the complex rearrangements in these patients. For case 2, the mother and patient's SNP array data was previously submitted [GSE37906]. aCGH data for case 3 is submitted seperately.

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Construction and effect research of Artificial Intelligence-based Standardized patient CBL teaching model -- A case study of colorectal cancer teaching for clinical specialists

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