Relationship between Breast Cancer Surgical Treatment and Psychiatric Symptomatology: Which Sociodemographic and Clinical Factors Could Influence It? A Preliminary Study

Existing Psychiatric Diagnoses Among Breast Cancer Patients Interact with Outcomes After Autologous and Implant-Based Bilateral Breast Reconstruction: A Propensity Score Matched Analysis

BACKGROUND

Breast reconstruction is an integral postoncologic procedure that has been associated with improved mental health and psychological outcomes. The possible interaction between existing psychiatric diagnoses hospital courses and postoperative complications warrants further exploration.

METHODS

Bilateral breast reconstruction patients were identified from the 2016 to 2018 Healthcare Cost and Utilization Project-National Inpatient Sample (HCUP - NIS). Number and type of psychiatric diagnoses within the cohort were then evaluated using a host of ICD-10 codes. A propensity score analysis was applied to control for confounding variables such as demographics, existing comorbidities, and hospital characteristics. A binary logistic regression model was then used to identify the prediction value of psychiatric diagnosis and its interaction with modality of reconstruction for objective outcomes like length of hospital stay, treatment charge, and postoperative complications.

RESULTS

A total of 10,114 patients were identified as the final cohort of breast reconstruction patients. 2621 (25.9%) patients possessed an average of 1.4 ± 0.6 existing psychiatric diagnoses. Presence of at least 1 psychiatric diagnosis was a strong predictor alone for extended length of stay (OR: 1.34, 95% CI: 1.28-1.41, P < .001) and occurrence of postoperative complications (OR: 1.31, 95% CI: 1.21-1.41, P < .001). Psychiatric diagnosis displayed a significant interaction with modality of breast reconstruction and conferred a lower increase in risk of extended length of stay in autologous reconstruction when compared to implant-based reconstruction (OR: 0.80, 95% CI: 0.72-0.89, P < .001).

CONCLUSION

Existing psychiatric diagnoses were shown to strongly predict and modulate risk of adverse postoperative outcomes depending on modality of reconstruction.

The influence of socio-demographics and clinical characteristics on coping strategies in cancer patients: a systematic review

OBJECTIVES

Cancer is a frequent illness and a traumatic experience for both patients and their families. This systematic review aims to analyse studies that examine socio-demographic and clinical characteristics that predict the coping strategies in cancer patients.

METHODS

From January 2000 to March 2021, the database searches were conducted in 7 different databases, using relevant keywords. According to PRISMA Statements, full-text, peer-reviewed articles in English which used socio-demographics as independent variables and coping as dependent variables were included.

RESULTS

Of 1101 abstracts and titles, 30 full-text papers were included. Overall results showed a great influence of socio-demographic characteristics (such as women, younger, in a relationship, with high educational level, with active work status, and high income) on positive coping strategies adopted by cancer patients. Regarding clinical characteristics, no-metastatic patients who have recently been diagnosed, especially in the early stage of cancer, and who know the characteristics of their illness and treatments, more frequently used adaptive coping strategies.

CONCLUSIONS

Both socio-demographics and clinical characteristics showed considerable influence on the coping strategies adopted by patients in most of the investigations. These results supported the assessment of basic patients' information (sociodemographic and clinical characteristics) as fundamental to quickly outline an efficient, supportive, and holistic taking-over, before all the essential and in-depth considerations.

TRIAL REGISTRATION

This systematic review was recorded in PROSPERO with the registration number: CRD42021254776.

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

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.