Gastrointestinal Symptom Cluster is Associated With Epigenetic Regulation of Lymphotoxin Beta in Oncology Patients Receiving Chemotherapy

Breaking the code: Using the Precision Health Model to guide research and clinical care

BACKGROUND

Precision health is a person-centered approach to health and well-being that is operationalized through evaluating omics-level profiles and their associations with the exposome. A precision health approach addresses the challenge that "one size does not fit all" in the management of an individual's health.

PURPOSE

The purpose of this white paper is to introduce a Precision Health Model and its application in research and clinical care.

METHODS

An expert panel reviewed and synthesized the extant literature related to precision health, the current state of omics' science, and common exposome factors that influence the health/illness continuum. A case study provides the framework for the application of the Precision Health Model.

DISCUSSION

Precision health and key domains are defined and serve as the platform for the development of the Precision Health Model.

CONCLUSION

Application of the Precision Health Model will provide inclusive, equitable, person-centered research and clinical care.

Nonpharmacological Interventions for the Fatigue-Pain-Sleep Disturbance Symptom Cluster in Lung Cancer Patients: Best Evidence Summary

OBJECTIVES

This study aimed to summarize the most effective evidence on nonpharmacological interventions for the fatigue-pain-sleep disturbance symptom cluster in lung cancer patients and to provide evidence-based management methods for clinical team and lung cancer patients.

METHODS

Guided by the "6S" pyramid model, we retrieved evidence on fatigue, pain, and sleep disturbance management from relevant websites and databases, and unpublished gray literature was also searched. The time frame of the search ranged from database establishment to September 30, 2023. Two researchers independently evaluated the literature quality using the Appraisal of Guidelines for Research and Evaluation II (AGREE II) for guidelines, and the Assessment of Multiple Systematic Reviews II (AMSTAR II) for systematic reviews. Two people independently extracted and summarized the evidence according to the first principle of high-quality evidence and newly published evidence. The included evidence was graded by the JBI Evidence Pre-Grading System.

RESULTS

A total of 52,238 articles were retrieved, of which 60 articles, including 18 guidelines, 18 JBI best practice recommendations, one Up To Date clinical practice, and 23 systematic reviews, were included. Overall, 49 pieces of evidence from six dimensions-screening, assessment, management, education, referral, and follow-up-were summarized. Forty-three pieces of evidence were level 1, three pieces of evidence were level 4, and three pieces of evidence were level 5.

CONCLUSIONS

The best 49 pieces of evidence on nonpharmacological interventions for the fatigue-pain-sleep disturbance symptom cluster in lung cancer patients were summarized in this study, and these nonpharmacological interventions are scientific and comprehensive.

IMPLICATIONS FOR NURSING PRACTICE

This study can provide guidance for clinical team to improve the fatigue-pain-sleep disturbance symptom cluster management. These evidence items can be implemented by clinical team to reduce the symptom burden and improve the self-management ability of symptoms in lung cancer patients.

Current evidence supporting associations of DNA methylation measurements with survivorship burdens in cancer survivors: A scoping review

INTRODUCTION

Identifying reliable biomarkers that reflect cancer survivorship symptoms remains a challenge for researchers. DNA methylation (DNAm) measurements reflecting epigenetic changes caused by anti-cancer therapy may provide needed insights. Given lack of consensus describing utilization of DNAm data to predict survivorship issues, a review evaluating the current landscape is warranted.

OBJECTIVE

Provide an overview of current studies examining associations of DNAm with survivorship burdens in cancer survivors.

METHODS

A literature review was conducted including studies if they focused on cohorts of cancer survivors, utilized peripheral blood cell DNAm data, and evaluated the associations of DNAm and survivorship issues.

RESULTS

A total of 22 studies were identified, with majority focused on breast (n = 7) or childhood cancer (n = 9) survivors, and half studies included less than 100 patients (n = 11). Survivorship issues evaluated included those related to neurocognition (n = 5), psychiatric health (n = 3), general wellness (n = 9), chronic conditions (n = 5), and treatment specific toxicities (n = 4). Studies evaluated epigenetic age metrics (n = 10) and DNAm levels at individual CpG sites or regions (n = 12) for their associations with survivorship issues in cancer survivors along with relevant confounding factors. Significant associations of measured DNAm in the peripheral blood samples of cancer survivors and survivorship issues were identified.

DISCUSSION/CONCLUSION

Studies utilizing epigenetic age metrics and differential methylation analysis demonstrated significant associations of DNAm measurements with survivorship burdens. Associations were observed encompassing diverse survivorship outcomes and timeframes relative to anti-cancer therapy initiation. These findings underscore the potential of these measurements as useful biomarkers in survivorship care and research.

Sentinel and networked symptoms in patients with breast cancer undergoing chemotherapy

PURPOSE

It was designed to identify the symptom clusters and sentinel symptoms among patients with breast cancer receiving chemotherapy at the community level, and to explore core and bridge symptoms at the global level.

METHODS

A cross-sectional survey was conducted using the MD Anderson Symptom Inventory. Patients with breast cancer receiving chemotherapy, recruited from the "Be Resilient to Breast Cancer" project between January 2023 and December 2023, were included in the study. Symptom clusters and their sentinel symptoms were identified using exploratory factor analysis and Apriori algorithm. Core and bridge symptoms were identified using network analysis.

RESULTS

A total of 468 patients with breast cancer participated in the current study. At the community level, three symptom clusters and their corresponding sentinel symptoms were identified: a gastrointestinal symptom cluster (with nausea as the sentinel symptom), a psycho-sleep-related symptom cluster (with distress as the sentinel symptom), and a neurocognition symptom cluster (with dry mouth as the sentinel symptom). At the global level, fatigue emerged as the core symptom, while disturbed sleep and lack of appetite as bridge symptoms.

CONCLUSION

Addressing nausea, distress, and dry mouth are imperative for alleviating specific symptom clusters at the community level. Furthermore, targeting fatigue, disturbed sleep, and lack of appetite are crucial to break the interactions among diverse symptoms at the global level.