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1.
PLoS Comput Biol ; 20(6): e1011361, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-38875302

RESUMO

Tumor microenvironments (TMEs) contain vast amounts of information on patient's cancer through their cellular composition and the spatial distribution of tumor cells and immune cell populations. Exploring variations in TMEs between patient groups, as well as determining the extent to which this information can predict outcomes such as patient survival or treatment success with emerging immunotherapies, is of great interest. Moreover, in the face of a large number of cell interactions to consider, we often wish to identify specific interactions that are useful in making such predictions. We present an approach to achieve these goals based on summarizing spatial relationships in the TME using spatial K functions, and then applying functional data analysis and random forest models to both predict outcomes of interest and identify important spatial relationships. This approach is shown to be effective in simulation experiments at both identifying important spatial interactions while also controlling the false discovery rate. We further used the proposed approach to interrogate two real data sets of Multiplexed Ion Beam Images of TMEs in triple negative breast cancer and lung cancer patients. The methods proposed are publicly available in a companion R package funkycells.


Assuntos
Comunicação Celular , Microambiente Tumoral , Microambiente Tumoral/fisiologia , Humanos , Comunicação Celular/fisiologia , Biologia Computacional/métodos , Neoplasias Pulmonares/imunologia , Neoplasias Pulmonares/patologia , Algoritmos , Simulação por Computador , Neoplasias de Mama Triplo Negativas/patologia , Neoplasias de Mama Triplo Negativas/imunologia , Neoplasias/imunologia , Neoplasias/patologia , Modelos Biológicos , Feminino , Algoritmo Florestas Aleatórias
2.
Hum Vaccin Immunother ; 18(5): 2089500, 2022 11 30.
Artigo em Inglês | MEDLINE | ID: mdl-35723609

RESUMO

Many people have negative experiences with vaccination due to stress-related reactions including fear and pain. We used a pre-post study design to evaluate the impact of implementing a modified version of the CARD (Comfort-Ask-Relax-Distract) system on stress-related reactions in individuals aged 12 y or older undergoing COVID-19 vaccinations in mass vaccination clinics. Vaccine recipients reported their level of pain, fear and dizziness during vaccination. Clinic staff reported their attitudes about CARD and use of CARD interventions. CARD improved client symptoms across genders and ages with an average reduction in needle pain, fear and dizziness of 75%, 40% and 44%, respectively. CARD was more effective in younger individuals. Clinic staff reported positive attitudes about CARD and uptake of selected CARD interventions. In summary, the modified CARD system reduced stress-related responses in a general population undergoing COVID-19 vaccinations in a mass vaccination clinic, was feasible and acceptable to staff. Future implementation efforts are recommended that include more diverse cultural contexts and incorporate education of individuals about CARD ahead of time.


Assuntos
Vacinas contra COVID-19 , COVID-19 , Humanos , Feminino , Masculino , Vacinação em Massa , COVID-19/prevenção & controle , Tontura , Vacinação , Dor
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