Navigating Breast Cancer Screening in Rural Missouri: From Patient Navigation to Social Navigation

Hunleth, Jean; Steinmetz, Emily K.

doi:10.1080/01459740.2021.2015347

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…The role of highly expressed genes and functionally ambiguous FAM83A in tumor production is being mined. The biological function of this gene lays the foundation for its molecular mechanism of involvement in the development of breast cancer [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Bioinformatics Method Was Used to Analyze the Highly Expressed Gene FAM83A of Breast Cancer in Young Women

Tang

Wang

et al. 2022

Applied Bionics and Biomechanics

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Objectives. Preliminary analysis of breast cancer related to unknown functional gene FAM83A through bioinformatics knowledge to inform further experimental studies. Select high expression genes for breast cancer and use bioinformatics methods to predict the biological function of FAM83A. Methods. Genes with significant differences in expression between breast tumors and normal breast tissue libraries were selected from CGAP’s SAGE Digital Gene Expression Displayer (DGED) database. An unknown functional gene, FAM83A, which is highly expressed in breast cancer, was screened. We performed an analysis of the gene structure, subcellular localization, physicochemical properties of the encoding products, functional sites, protein structure, and functional domains. Results. Through SAGE DGED, a total of 185 genes with expression differences were found. The structure and function of FAM83A have ideal predictions, and it is generally determined that this gene encodes a nuclear protein with a nucleoprotein. The active site of PLDc and the functional domain of DUF1669 can be involved in signal transduction and gene expression regulation in tumorigenesis and metastasis. Digital gene representation of the Tumor Genome Project Data Library was used to select differentially expressed genes in breast cancer tissue and breast benign tumor tissue. Conclusion. Studies show that FAM83A is a potential research target associated with tumorigenesis and metastasis. Initial tests confirmed the expression of this gene. Lay a solid foundation for further research learning. FAM83A is a highly expressed gene in breast cancer and can serve as a target for studying molecular mechanisms in breast cancer.

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Section: Introductionmentioning

confidence: 99%

Bioinformatics Method Was Used to Analyze the Highly Expressed Gene FAM83A of Breast Cancer in Young Women

Tang

Wang

et al. 2022

Applied Bionics and Biomechanics

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“…Community participants were recruited from 2 regions of Missouri, Southeast Missouri (the Bootheel) and the St Louis metropolitan region (STL), and a small group of health professionals were recruited from St Louis. In the Bootheel, most care is provided by federally qualified health clinics in the absence of major hospitals [15]. The Bootheel has higher rates of poverty, higher chronic disease burden, and more older people as well as lower educational attainment than other regions of Missouri [16].…”

Section: Settingmentioning

confidence: 99%

Eliciting Opinions on Health Messaging During the COVID-19 Pandemic: Qualitative Survey Study

Ruiz¹,

Okere²,

Eggers³

et al. 2023

JMIR Hum Factors

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Background Effective public health messaging has been necessary throughout the COVID-19 pandemic, but stakeholders have struggled to communicate critical information to the public, especially in different types of locations such as urban and rural areas. Objective This study aimed to identify opportunities to improve COVID-19 messages for community distribution in rural and urban settings and to summarize the findings to inform future messaging. Methods We purposively sampled by region (urban or rural) and participant type (general public or health care professional) to survey participants about their opinions on 4 COVID-19 health messages. We designed open-ended survey questions and analyzed the data using pragmatic health equity implementation science approaches. Following the qualitative analysis of the survey responses, we designed refined COVID-19 messages incorporating participant feedback and redistributed them via a short survey. Results In total, 67 participants consented and enrolled: 31 (46%) community participants from the rural Southeast Missouri Bootheel, 27 (40%) community participants from urban St Louis, and 9 (13%) health care professionals from St Louis. Overall, we found no qualitative differences between the responses of our urban and rural samples to the open-ended questions. Participants across groups wanted familiar COVID-19 protocols, personal choice in COVID-19 preventive behaviors, and clear source information. Health care professionals contextualized their suggestions within the specific needs of their patients. All groups suggested practices consistent with health-literate communications. We reached 83% (54/65) of the participants for message redistribution, and most had overwhelmingly positive responses to the refined messages. Conclusions We suggest convenient methods for community involvement in the creation of health messages by using a brief web-based survey. We identified areas of improvement for future health messaging, such as reaffirming the preventive practices advertised early in a crisis, framing messages such that they allow for personal choice of preventive behavior, highlighting well-known source information, using plain language, and crafting messages that are applicable to the readers’ circumstances.

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Enhancing Breast Cancer Diagnosis: A CNN-Based Approach for Medical Image Segmentation and Classification

Saifullah,

Dreżewski

2024

Lecture Notes in Computer Science

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Navigating Breast Cancer Screening in Rural Missouri: From Patient Navigation to Social Navigation

Cited by 5 publications

References 30 publications

Bioinformatics Method Was Used to Analyze the Highly Expressed Gene FAM83A of Breast Cancer in Young Women

Bioinformatics Method Was Used to Analyze the Highly Expressed Gene FAM83A of Breast Cancer in Young Women

Eliciting Opinions on Health Messaging During the COVID-19 Pandemic: Qualitative Survey Study

Enhancing Breast Cancer Diagnosis: A CNN-Based Approach for Medical Image Segmentation and Classification

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