Asian Ethnic Subgroup Disparities in Delays of Surgical Treatment for Breast Cancer

Navarro, Stephanie; Yang, Yifei; Ochoa, Christian; Mejia, Aaron; Kim, Sue E.; Liu, Lihua; Lerman, Caryn; Farias, Albert J.

doi:10.1093/jncics/pkab089

Cited by 10 publications

(7 citation statements)

References 35 publications

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“…231, 435s, MCF-7 heh and ovarian cancer A2780 cell line and endometrial cancer AN3 CA. The FAM83A in the cell line is expressed, and the PCR product delivery sequence is consistent with the actual gene sequence of interest [ 39 ].…”

Section: Resultsmentioning

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: Resultsmentioning

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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“…4,6 Additionally, a California-based study found that Black, Hispanic, and certain Asian minority subgroups had an increased likelihood of delays in surgical treatment after a breast cancer diagnosis, compared with White patients. 13 Cancer disparities between younger and older patients also exist. Older age is the greatest risk factor for cancer overall, as well as in many cancer types.…”

Section: Cancer Disparities In Older Adults Of Color: Backgroundmentioning

confidence: 99%

“…Studies in the US suggest that Black patients are less likely to receive evidence‐based care (e.g., guideline‐concordant care) than White patients for several types of cancers, including lung, colorectal, and breast cancers 4,6 . Additionally, a California‐based study found that Black, Hispanic, and certain Asian minority subgroups had an increased likelihood of delays in surgical treatment after a breast cancer diagnosis, compared with White patients 13 …”

Section: Cancer Disparities In Older Adults Of Color: Backgroundmentioning

confidence: 99%

Disparities in care of older adults of color with cancer: A narrative review

Dotan,

Lynch,

Ryan

et al. 2024

Cancer Medicine

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This review describes the barriers and challenges faced by older adults of color with cancer and highlights methods to improve their overall care. In the next decade, cancer incidence rates are expected to increase in the United States for people aged ≥65 years. A large proportion will be older adults of color who often have worse outcomes than older White patients. Many issues contribute to racial disparities in older adults, including biological factors and social determinants of health (SDOH) related to healthcare access, socioeconomic concerns, systemic racism, mistrust, and the neighborhood where a person lives. These disparities are exacerbated by age‐related challenges often experienced by older adults, such as decreased functional status, impaired cognition, high rates of comorbidities and polypharmacy, poor nutrition, and limited social support. Additionally, underrepresentation of both patients of color and older adults in cancer clinical research results in a lack of adequate data to guide the management of these patients. Use of geriatric assessments (GA) can aid providers in uncovering age‐related concerns and personalizing interventions for older patients. Research demonstrates the ability of GA‐directed care to result in fewer treatment‐related toxicities and improved quality of life, thus supporting the routine incorporation of validated GA into these patients' care. GA can be enhanced by including evaluation of SDOH, which can help healthcare providers understand and address the needs of older adults of color with cancer who face disparities related to their age and race.

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“…57 These socioeconomic differences play an important role in access to health care and insurance coverage. 58 …”

Section: Social Determinants Of Health and Cultural Contextmentioning

confidence: 99%

The Landmark Series: The Breast Cancer Burden of the Asian American Population and the Need for Disaggregated Data

et al. 2023

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The Asian American Pacific Islander (AAPI) population is a heterogeneous group of people from geographically and ethnically distinct regions of the world. Traditionally, these patients have been reported as one large aggregate in the breast cancer literature under the race category of “Asian.” A detailed examination of this group shows compelling evidence that breast cancer manifests differently among Asian ethnic subgroups, resulting in overlooked health disparities when these races are grouped together. The AAPI community is the fastest growing ethnic group in the United States, and their incidence of breast cancer is increasing at rates greater than among their non-Asian counterparts. When these patients are disaggregated by race, they show wide variations in breast cancer screening, presentation, treatment, and outcomes. This population often faces additional unique challenges in the health care system due to cultural, social, health literacy, and language barriers, which can contribute to further disparity. Our landmark series aims to showcase the breadth of the breast cancer burden in the AAPI population and highlight the need for disaggregated ethnic data.

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Asian Ethnic Subgroup Disparities in Delays of Surgical Treatment for Breast Cancer

Cited by 10 publications

References 35 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

Disparities in care of older adults of color with cancer: A narrative review

The Landmark Series: The Breast Cancer Burden of the Asian American Population and the Need for Disaggregated Data

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