Inflammatory Biomarkers, Hematopoietic Stem Cells, and Symptoms in Breast Cancer Patients Undergoing Adjuvant Radiation Therapy

Type I interferons, inflammation, and fatigue in a longitudinal RNA study of women with breast cancer

BACKGROUND

Fatigue is a common side effect of cancer and its treatment and is thought to be driven in part by activation of the proinflammatory cytokine network. However, the cellular and molecular underpinnings of cancer-related fatigue (CRF) have not been determined, nor have immune pathways beyond inflammation been carefully investigated. The goal of this study was to examine the association between CRF and activation of canonical proinflammatory gene regulation pathways and Type I interferon (IFN) signaling pathways in breast cancer patients during and after treatment.

METHODS

Women diagnosed with early-stage breast cancer (n = 181) completed assessments before and after treatment with radiation and/or chemotherapy and at 6, 12, and 18-month post-treatment follow-ups. Assessments included self-reported fatigue (Multidimensional Fatigue Symptom Inventory - Short Form) and expression of pre-specified sets of Type I IFN and pro-inflammatory immune response genes determined from mRNA sequencing of PBMCs. Mixed effect linear models examined changes in fatigue and immune gene expression over time and tested the hypothesis that fatigue would be associated with increased expression of Type I IFN and inflammatory response genes.

RESULTS

There were significant changes in fatigue and immune gene expression across the assessment period; all measures increased from pre- to post-treatment but showed diverging patterns over the follow-up, with declines in fatigue and persistent elevations in Type I IFN and proinflammatory gene expression. In mixed effect linear models, expression of Type I IFN response genes was elevated in association with fatigue across the assessment period, from pre-treatment to 18-month follow-up. In contrast, pro-inflammatory gene expression was associated with fatigue only at 6, 12, and 18-month follow-ups. Analyses controlling for changes in leukocyte subsets continued to show a significant association between fatigue and Type I IFN gene expression but reduced the time-dependent association with pro-inflammatory gene expression to non-significant.

CONCLUSIONS

Results revealed unexpected complexity in the immune underpinnings of CRF and identify a novel role for IFN signaling as a robust contributor to this symptom before, during, and after treatment. Pro-inflammatory gene expression emerged as a predictor of fatigue later in the cancer trajectory, and that effect was primarily accounted for by a concurrent increase in monocyte prevalence.

Metalloproteinases as Biomarkers and Sociomarkers in Human Health and Disease

Metalloproteinases (MPs) are zinc-dependent enzymes with proteolytic activity and a variety of functions in the pathophysiology of human diseases. The main objectives of this review are to analyze a specific family of MPs, the matrix metalloproteinases (MMPs), in the most common chronic and complex diseases that affect patients' social lives and to better understand the nature of the associations between MMPs and the psychosocial environment. In accordance with the PRISMA extension for a scoping review, an examination was carried out. A collection of 24 studies was analyzed, focusing on the molecular mechanisms of MMP and their connection to the manifestation of social aspects in human disease. The complexity of the relationship between MMP and social problems is presented via an interdisciplinary approach based on complexity paradigm as a new approach for conceptualizing knowledge in health research. Finally, two implications emerge from the study: first, the psychosocial states of individuals have a profound impact on their overall health and disease conditions, which implies the importance of adopting a holistic perspective on human well-being, encompassing both physical and psychosocial aspects. Second, the use of MPs as biomarkers may provide physicians with valuable tools for a better understanding of disease when used in conjunction with "sociomarkers" to develop mathematical predictive models.

Assessing serum cytokine profiles in inflammatory breast cancer patients using Luminex® technology

BACKGROUND

Inflammatory breast cancer (IBC), accounts for the majority of deaths associated with breast tumors. Because this form is aggressive from its appearance and has a strong metastatic potential. The majority of patients are not diagnosed until late stages, highlighting the need for the development of novel diagnostic biomarkers. Immune mediators may affect IBC progression and metastasis installation.

AIM OF THE STUDY

Analysis of serum proteins to identify a panel of prognostic biomarkers for IBC.

PATIENTS AND METHODS

Serum levels of 65 analytes were determined in IBC and Non-IBC patients with the ProcartaPlex Human Immune Monitoring 65-Plex Panel.

RESULTS

Fifteen analytes: 5 cytokines (IL-8, IL-16, IL-21, IL-22 and MIF), 7 chemokines (Eotaxin, eotaxin-3, Fractalkine, IP-10, MIP-1α, MIP-1β and SDF-1α), One growth factors (FGF-2) and 2 soluble receptors (TNFRII and Tweak); were significantly differentially expressed between the two groups. ROC curves showed that twelve of them (IL-8, IL-16, IL-21, IL-22, MIF, MIP-1α, MIP-1β, SDF-1α, TNFRII, FGF-2, Eotaxin-3, and Fractalkine) had AUC values greater than 0.70 and thus had potential clinical utility. Moreover, seven cytokines: IL-8, IL-16, MIF, Eotaxin-3, MIP-1α, MIP-1β, and CD-30 are positively associated with patients who developed distant metastasis. Ten analytes: Eotaxin-3, Fractalkine, IL-16, IL-1α, IL-22, IL-8, MIF, MIP-1α, MIP-1β, and TNFRII are positively associated with patients who had Lymph-Nodes invasion.

CONCLUSION

This study has uncovered a set of 8 analytes (Eotaxin-3, Fractalkine, IL-16, IL-8, IL-22, MIF, MIP-1α, MIP-1β) that can be used as biomarkers of IBC, and can be utilized for early detection of IBC, preventing metastasis and lymph-Nodes invasion.

Neurotransmitter Gene Polymorphisms Are Associated with Symptom Clusters in Patients Undergoing Radiation Therapy

OBJECTIVES

Purpose was to evaluate for associations between the severity of three distinct symptom clusters (ie, sickness-behavior, mood-cognitive, treatment-related) and polymorphisms for 16 genes involved in catecholaminergic, GABAergic, and serotonergic neurotransmission.

DATA SOURCES

Patients with breast and prostate cancer (n = 157) completed study questionnaires at the completion of radiation therapy. Memorial Symptom Assessment Scale was used to assess the severity of 32 common symptoms. Three distinct symptom clusters were identified using exploratory factor analysis. Associations between the symptom cluster severity scores and neurotransmitter gene polymorphisms were evaluated using regression analyses.

CONCLUSION

Severity scores for the sickness-behavior symptom cluster were associated with polymorphisms for solute carrier family 6 (SLC6A) member 2 (SLC6A2), SLC6A3, SLC6A1, and 5-hydroxytryptamine receptor (HTR) 2A (HTR2A) genes. For the mood-cognitive symptom cluster, severity scores were associated with polymorphisms for adrenoreceptor alpha 1D, SLC6A2, SLC6A3, SLC6A1, HTR2A, and HTR3A. Severity scores for the treatment-related symptom cluster were associated with polymorphisms for SLC6A2, SLC6A3, catechol-o-methyltransferase, SLC6A1, HTR2A, SLC6A4, and tryptophan hydroxylase 2.

IMPLICATIONS FOR NURSING PRACTICE

Findings suggest that polymorphisms for several neurotransmitter genes are involved in the severity of sickness-behavior, mood-cognitive, and treatment-related symptom clusters in oncology patients at the completion of radiation therapy. Four genes with various associated polymorphisms were common across the three distinct symptom clusters (ie, SLC6A2, SLC6A3, SLC6A1, HTR2A) which suggest that these clusters have common underlying mechanisms.

Inflammatory, Oxidative Stress, and Cardiac Damage Biomarkers and Radiation-Induced Fatigue in Breast Cancer Survivors

PURPOSE

Studies examining biomarkers associated with fatigue in breast cancer survivors treated with radiation are limited. Therefore, we examined the longitudinal association between serum biomarkers and post-breast cancer fatigue in survivors treated with radiation: [oxidative stress] 8-hydroxyguanosine, myeloperoxidase; [inflammation] interleukin-6 (IL-6), c-reactive protein, growth differentiation factor-15 (GDF-15), placental growth factor, transforming growth factor-beta, [cardiac damage] cystatin-C, troponin-I.

METHODS

In a secondary analysis, we included participants from the Women's Health Initiative if they had: a previous breast cancer diagnosis (stages I-III), no prior cardiovascular diseases, pre-and post-breast cancer serum samples drawn approximately 3 years apart, and fatigue measured using the Short-Form 36 vitality subscale at both serum collections. Biomarkers were measured using ELISA or RT-qPCR and modeled as the log2 post-to pre-breast cancer ratio.

RESULTS

Overall, 180 women with a mean (SD) age of 67.0 (5.5) years were included. The mean (SD) vitality scores were 66.2 (17.2) and 59.7 (19.7) pre- and post-breast cancer, respectively. Using multivariable weighted linear regression, higher biomarker ratios of cystatin-C, IL-6, and GDF-15 were associated with a lower vitality score (i.e., higher fatigue). For example, for each 2-fold difference in cystatin-C biomarker ratio, the vitality score was lower by 7.31 points (95% CI: -14.2, -0.45).

CONCLUSION

Inflammatory and cardiac damage biomarkers are associated with fatigue in breast cancer survivors treated with radiation; however, these findings should be replicated in a larger sample. Biomarkers could be measured in clinical practice or assessed in risk prediction models to help identify patients at high risk for fatigue.

Acute and chronic effects of adjuvant therapy on inflammatory markers in breast cancer patients

Background

Inflammation contributes to poor behavioral, functional, and clinical outcomes in cancer survivors. We examined whether standard cancer treatments—radiation and chemotherapy—led to acute and persistent changes in circulating markers of inflammation in breast cancer patients.

Methods

A total of 192 women diagnosed with early stage breast cancer provided blood samples before and after completion of radiation and/or chemotherapy and at 6-, 12-, and 18-month posttreatment follow-ups. Samples were assayed for circulating inflammatory markers, including tumor necrosis factor-α (TNF-α) and interleukin (IL)–6, downstream markers of their activity (soluble TNF receptor type II [sTNF-RII], C reactive protein), and other inflammatory mediators (IL-8, interferon-γ [IFN-γ]). Analyses evaluated within-group changes in inflammatory markers in 4 treatment groups: no radiation or chemotherapy (n = 39), radiation only (n = 77), chemotherapy only (n = 18), and chemotherapy with radiation (n = 58).

Results

Patients treated with chemotherapy showed statistically significant increases in circulating concentrations of TNF-α, sTNF-RII, IL-6, and IFN-γ from pre- to posttreatment, with parameter estimates in standard deviation units ranging from 0.55 to 1.20. Those who received chemotherapy with radiation also showed statistically significant increases in IL-8 over this period. Statistically significant increases in TNF-α, sTNF-RII, IL-6, IFN-γ, and IL-8 persisted at 6, 12, and 18 months posttreatment among patients treated with chemotherapy and radiation (all P < .05). Patients treated with radiation only showed a statistically significant increase in IL-8 at 18 months posttreatment; no increases in any markers were observed in patients treated with surgery only.

Conclusions

Chemotherapy is associated with acute increases in systemic inflammation that persist for months after treatment completion in patients who also receive radiation therapy. These increases may contribute to common behavioral symptoms and other comorbidities in cancer survivors.

Sleepless and Spent in Survivorship: Fatigue and Insomnia in Breast Cancer Survivors

BACKGROUND

It is estimated that there are 3.8 million breast cancer survivors in the United States. Addressing survivors' post-treatment needs is critical to providing quality healthcare.

METHODS

A standardized questionnaire for breast cancer survivors was employed to assess the health status, challenges, and concerns of our breast cancer patients at their survivorship visits, which were conducted 4 months after surgery. All patients were seen in the breast center at one community hospital over a 6-year period.

RESULTS

Responses to a standardized questionnaire that was administered to 505 consecutive breast cancer patients at their survivorship visits 4 months after surgery were evaluated. The most striking finding was that 35% reported symptoms of insomnia, 26% had persistent fatigue, and 19% experienced fatigue that interfered with their usual activities. There was a significant association between symptoms of insomnia and radiation treatment (P = .004), pain (P < .001), hormone therapy (P < .01), and side effects of hormone therapy (P < .0001). There was also a significant association between fatigue and pain (P < .001) as well as side effects from hormone treatment (P = .0036).

CONCLUSIONS

Over a third (35%) of breast cancer patients suffer from insomnia, while over a quarter (26%) complain of fatigue at their survivorship assessments. Contributing factors include radiation treatment, pain, and hormonal therapy. Careful assessment and treatment of fatigue and symptoms of insomnia in breast cancer patients is needed to improve quality of life for survivors.