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1.
NAR Cancer ; 6(1): zcad060, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38204924

ABSTRACT

Cancer vaccines have been increasingly studied and developed to prevent or treat various types of cancers. To systematically survey and analyze different reported cancer vaccines, we developed CanVaxKB (https://violinet.org/canvaxkb), the first web-based cancer vaccine knowledgebase that compiles over 670 therapeutic or preventive cancer vaccines that have been experimentally verified to be effective at various stages. Vaccine construction and host response data are also included. These cancer vaccines are developed against various cancer types such as melanoma, hematological cancer, and prostate cancer. CanVaxKB has stored 263 genes or proteins that serve as cancer vaccine antigen genes, which we have collectively termed 'canvaxgens'. Top three mostly used canvaxgens are PMEL, MLANA and CTAG1B, often targeting multiple cancer types. A total of 193 canvaxgens are also reported in cancer-related ONGene, Network of Cancer Genes and/or Sanger Cancer Gene Consensus databases. Enriched functional annotations and clusters of canvaxgens were identified and analyzed. User-friendly web interfaces are searchable for querying and comparing cancer vaccines. CanVaxKB cancer vaccines are also semantically represented by the community-based Vaccine Ontology to support data exchange. Overall, CanVaxKB is a timely and vital cancer vaccine source that facilitates efficient collection and analysis, further helping researchers and physicians to better understand cancer mechanisms.

2.
Med Sci Educ ; 33(2): 401-407, 2023 Apr.
Article in English | MEDLINE | ID: mdl-37251203

ABSTRACT

The United States Medical Licensing Examination (USMLE) Step 1 was designed to be a benchmark measure of knowledge and has been used heavily in the residency application process. Step 1 has moved from 3-digit scoring to a pass/fail scoring system, in part to decrease the stress associated with the exam. Emerging literature suggests that this transition has led to other stresses for students. Our study compared student stress levels, both overall and in relation to Step 1, leading up to the exam between a scored cohort and pass/fail cohort. We administered to each cohort a 14-item survey that included demographics, the PSS-4 stress scale, and 6 other potential stressors. Data was analyzed using two-tailed t test for independent means and analysis of variance. We found that while there was no difference in general overall stress between the students who took Step 1 for a score and students who took Step 1 pass/fail, we did see differences in stress related to the Step 1 exam. Step 1 stress was significantly lower for the pass/fail cohort than the score cohort during the second year of medical education leading up to the exam. However, this difference in Step 1 stress between the cohorts disappeared by the dedicated study period immediately before the exam. The change in scoring appears to have decreased stress specifically related to Step 1, but this reduction was not sustained as students entered their study period to prepare for Step 1.

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