The findings from this study need to be replicated before definitive clinical practice recommendations can be made. Until that time, clinicians need to assess patients for the occurrence of multiple symptoms that may place them at increased risk for poorer outcomes.
The use of a psychoeducational intervention that incorporates nurse coaching within the framework of self-care can improve the management of cancer pain.
A high percentage of FCs experienced clinically meaningful levels of a variety of symptoms. These symptoms have a negative impact on the FCs' functional status and QOL.
Because multiple symptoms associated with “sickness behavior” have a negative impact on functional status and quality of life, increased information on the mechanisms that underlie inter-individual variability in this symptom experience is needed. The purposes of this study were to determine: if distinct classes of individuals could be identified based on their experience with pain, fatigue, sleep disturbance, and depression; if these classes differed on demographic and clinical characteristics; and if variations in pro- and anti- inflammatory cytokine genes were associated with latent class membership.
Self-report measures of pain, fatigue, sleep disturbance, and depression were completed by 168 oncology outpatients and 85 family caregivers (FCs). Using latent class profile analysis (LCPA), three relatively distinct classes were identified: those who reported low depression and low pain (83%), those who reported high depression and low pain (4.7%), and those who reported high levels of all four symptoms (12.3%). The minor allele of IL4 rs2243248 was associated with membership in the “All high” class along with younger age, being White, being a patient (versus a FC), having a lower functional status score, and having a higher number of comorbid conditions.
Findings suggest that LPCA can be used to differentiate distinct phenotypes based on a symptom cluster associated with sickness behavior. Identification of distinct phenotypes provides new evidence for the role of IL4 in the modulation of a sickness behavior symptom cluster in oncology patients and their FCs.
Study purposes were to determine the prevalence of persistent pain in the breast; characterize distinct persistent pain classes using growth mixture modeling, and evaluate for differences among these pain classes in demographic, preoperative, intraoperative, and postoperative characteristics. In addition, differences in the severity of common symptoms and quality of life outcomes measured prior to surgery, among the pain classes, were evaluated. Patients (n=398) were recruited prior to surgery and followed for six months. Using growth mixture modeling, patients were classified into no (31.7%), mild (43.4%), moderate (13.3%), and severe (11.6%) pain groups based on ratings of worst breast pain. Differences in a number of demographic, preoperative, intraoperative, and postoperative characteristics differentiated among the pain classes. In addition, patients in the moderate and severe pain classes reported higher preoperative levels of depression, anxiety, and sleep disturbance than the no pain class. Findings suggest that approximately 25% of women experience significant and persistent levels of breast pain in the first six months following breast cancer surgery.
Contents
Summary 1
Introduction 1
Photoreactivation 4
Excision repair pathways: BER, NER, mismatch repair 7
DNA double‐strand break repair 10
Molecular responses to genotoxic stress 13
Conclusions and future prospects 14
Acknowledgements 15
References 15
Summary
As obligate phototrophs, plants harness energy from sunlight to split water, producing oxygen and reducing power. This lifestyle exposes plants to particularly high levels of genotoxic stress that threatens genomic integrity, leading to mutation, developmental arrest and cell death. Plants, which with algae are the only photosynthetic eukaryotes, have evolved very effective pathways for DNA damage signalling and repair, and this review summarises our current understanding of these processes in the responses of plants to genotoxic stress. We also identify how the use of new and emerging technologies can complement established physiological and ecological studies to progress the application of this knowledge in biotechnology.
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