Differential associations of proinflammatory and anti-inflammatory cytokines with depression severity from noncancer status to breast cancer course and subsequent chemotherapy

Modeling the Progression of Placental Transport from Early- to Late-Stage Pregnancy by Tuning Trophoblast Differentiation and Vascularization

The early-stage placental barrier is characterized by a lack of fetal circulation and by a thick trophoblastic barrier, whereas the later-stage placenta consists of vascularized chorionic villi encased in a thin, differentiated trophoblast layer, ideal for nutrient transport. In this work, predictive models of early- and late-stage placental transport are created using blastocyst-derived placental stem cells (PSCs) by modulating PSC differentiation and model vascularization. PSC differentiation results in a thinner, fused trophoblast layer, as well as an increase in human chorionic gonadotropin secretion, barrier permeability, and secretion of certain inflammatory cytokines, which are consistent with in vivo findings. Further, gene expression confirms this shift toward a differentiated trophoblast subtype. Vascularization results in a molecule type- and size-dependent change in dextran and insulin permeability. These results demonstrate that trophoblast differentiation and vascularization have critical effects on placental barrier permeability and that this model can be used as a predictive measure to assess fetal toxicity of xenobiotic substances at different stages of pregnancy.

Unveiling the Immune Microenvironment's Role in Breast Cancer: A Glimpse into Promising Frontiers

Breast cancer (BC), one of the most widespread and devastating diseases affecting women worldwide, presents a significant public health challenge. This review explores the emerging frontiers of research focused on deciphering the intricate interplay between BC cells and the immune microenvironment. Understanding the role of the immune system in BC is critical as it holds promise for novel therapeutic approaches and precision medicine strategies. This review delves into the current literature regarding the immune microenvironment's contribution to BC initiation, progression, and metastasis. It examines the complex mechanisms by which BC cells interact with various immune cell populations, including tumor-infiltrating lymphocytes (TILs) and tumor-associated macrophages (TAMs). Furthermore, this review highlights the impact of immune-related factors, such as cytokines and immune checkpoint molecules. Additionally, this comprehensive analysis sheds light on the potential biomarkers associated with the immune response in BC, enabling early diagnosis and prognostic assessment. The therapeutic implications of targeting the immune microenvironment are also explored, encompassing immunotherapeutic strategies and combination therapies to enhance treatment efficacy. The significance of this review lies in its potential to pave the way for novel therapeutic interventions, providing clinicians and researchers with essential knowledge to design targeted and personalized treatment regimens for BC patients.

Excess body weight significantly affects systemic and tumor inflammatory status and correlates to poor prognosis parameters in patients with breast cancer

Introduction

Obesity is a pro-inflammatory disease critical for developing breast cancer (BC), which impacts the profiles of systemic inflammatory mediators and determinants of different disease clinical outcomes remains little explored.

Methods

A total of 195 patients diagnosed with breast cancer were included. Aiming to exclude chemotherapy interference on circulating mediators, samples were collected at diagnosis, out of the treatment period. Patients were classified as normal weight (BMI up to 24.9 kg/m2) or overweight (BMI ≥25.0 kg/m2). Serum levels of IL-4, IL-12, hydroperoxides, and nitric oxide metabolites (NOx) were measured. Also, tumor expression of inducible nitric oxide synthase (iNOS), TGF-β1, CD4⁺, and CD8⁺ lymphocytes were evaluated.

Results

IL-4 levels were significantly increased in the overweight BC group (p = 0.0329), including patients with luminal B subtype (p = 0.0443), presence of lymph node metastases (p = 0.0115) and age of diagnosis below 50 years, (p = 0.0488). IL-12 levels were significantly increased in overweight BC patients with lymph node metastases (p = 0.0115). Hydroperoxides were increased in overweight BC patients (p = 0.0437), including those with tumors smaller than 2 cm (p = 0.05). NOx levels were also increased in overweight BC patients, including those with luminal B disorders (p = 0.0443), high-grade tumors (p = 0.0351) and lymph node metastases (p = 0.0155). The expression of iNOS (p < 0.001) and TCD4+ lymphocytes (p = 0.0378) was significantly investigated in tumor biopsies from overweight BC women.

Conclusions

These data provide a picture of the influence of excess body weight on inflammatory mediators' systemic and tumoral profiles, especially in patients displaying poor outcome BC.

Long-term yogic intervention decreases serum interleukins IL-10 and IL-1β and improves cancer-related fatigue and functional scale during radiotherapy/chemotherapy in breast cancer patients: a randomized control study

PURPOSE

Yoga improved fatigue and immunological profile in cancer survivors and has been a promising alternative therapy. Breast cancer treatments are rapidly improving, along with their side effects. This article investigated the effect of the yogic intervention at a different time interval during radiotherapy/chemotherapy on the pro- and anti-inflammatory interleukins along with the cancer-related fatigue and functional scale among patients with stage II/III breast cancer.

METHODS

A total of 96 stage II/III breast cancer patients were enrolled in this study and randomly divided into two different groups. Group I (non-Yoga) received chemotherapy and/or radiotherapy and group II (Yoga) received an additional yogic intervention. Both groups were followed up for a period of 48 weeks and blood was collected at the time of enrollment, 16, 32, and 48 weeks, and serum was isolated to measure the pro- and anti-inflammatory interleukins, fatigue, and functional scale questionnaire obtained at each time point.

RESULTS

Breast cancer patients in group II showed a significant improvement (p < 0.05) in the functional scale and fatigue from baseline to 48 weeks compared to group I. The yogic intervention significantly decreased (p < 0.05) the level of pro-inflammatory interleukin IL-1β and pleiotropic interleukin IL-10 in group II compared to group I.

CONCLUSION

These finding suggested that improved fatigue and functional scale is associated with a lower level of IL-1β and IL-10. Yoga may be an important additional therapy along with the cancer treatment to help the patients with cancer-related fatigue and improve their overall immunological profile.

Biomarker opportunities in the treatment of cancer-related depression

Depression comorbid with cancer is common and associated with a host of negative health outcomes. The inflammatory basis of depression is a growing area of research in cancer, focused on how stressors transduce into inflammation and contribute to the emergence of depression. In this review, we synthesize inflammatory biomarker associations with both depression and the currently available pharmacotherapies and psychotherapies in cancer, underscoring the need for expanding research on anti-inflammatory agents with antidepressant effects. Modulation of inflammatory neuroimmune pathways can slow tumor progression and reduce metastases. Biomarkers associated with depression in cancer may help with diagnosis and treatment monitoring, as well as inform research on novel drug targets to potentially improve cancer survival.

Genomic-Analysis-Oriented Drug Repurposing in the Search for Novel Antidepressants

From inadequate prior antidepressants that targeted monoamine neurotransmitter systems emerged the discovery of alternative drugs for depression. For instance, drugs targeted interleukin 6 receptor (IL6R) in inflammatory system. Genomic analysis-based drug repurposing using single nucleotide polymorphism (SNP) inclined a promising method for several diseases. However, none of the diseases was depression. Thus, we aimed to identify drug repurposing candidates for depression treatment by adopting a genomic-analysis-based approach. The 5885 SNPs obtained from the machine learning approach were annotated using HaploReg v4.1. Five sets of functional annotations were applied to determine the depression risk genes. The STRING database was used to expand the target genes and identify drug candidates from the DrugBank database. We validated the findings using the ClinicalTrial.gov and PubMed databases. Seven genes were observed to be strongly associated with depression (functional annotation score = 4). Interestingly, IL6R was auspicious as a target gene according to the validation outcome. We identified 20 drugs that were undergoing preclinical studies or clinical trials for depression. In addition, we identified sarilumab and satralizumab as drugs that exhibit strong potential for use in the treatment of depression. Our findings indicate that a genomic-analysis-based approach can facilitate the discovery of drugs that can be repurposed for treating depression.

Inflammatory biomarkers and risk of breast cancer among young women in Latin America: a case-control study

BACKGROUND

Breast cancer incidence is increasing rapidly in Latin America, with a higher proportion of cases among young women than in developed countries. Studies have linked inflammation to breast cancer development, but data is limited in premenopausal women, especially in Latin America.

METHODS

We investigated the associations between serum biomarkers of chronic inflammation (interleukin (IL)-6, IL-8, IL-10, tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), leptin, adiponectin) and risk of premenopausal breast cancer among 453 cases and 453 matched, population-based controls from Chile, Colombia, Costa Rica, and Mexico. Odds ratios (OR) were estimated using conditional logistic regression models. Analyses were stratified by size and hormonal receptor status of the tumors.

RESULTS

IL-6 (ORper standard deviation (SD) = 1.33 (1.11-1.60)) and TNF-α (ORper SD = 1.32 (1.11-1.58)) were positively associated with breast cancer risk in fully adjusted models. Evidence of heterogeneity by estrogen receptor (ER) status was observed for IL-8 (P-homogeneity = 0.05), with a positive association in ER-negative tumors only. IL-8 (P-homogeneity = 0.06) and TNF-α (P-homogeneity = 0.003) were positively associated with risk in the largest tumors, while for leptin (P-homogeneity = 0.003) a positive association was observed for the smallest tumors only.

CONCLUSIONS

The results of this study support the implication of chronic inflammation in breast cancer risk in young women in Latin America. Largest studies of prospective design are needed to confirm these findings in premenopausal women.

Sleep Quality and Related Factors in Patients with Breast Cancer: A Cross-Sectional Study in Taiwan

Background

Sleep disturbances are common and symptomatic burden in patients with breast cancer, but they are poorly documented and managed in routine clinical practice. This descriptive and cross-sectional study evaluated factors associated with post-treatment sleep disturbances in patients with breast cancer.

Patients and Methods

Patients with breast cancer who underwent standard treatment were enrolled and surveyed for their basic demographic data and precancerous and cancer treatment-related factors; they were also administered self-report questionnaires including the Family Adaptation, Partnership, Growth, Affection, Resolve questionnaire; Impact of Event Scale; Center for Epidemiologic Studies Depression Scale; and Maudsley Personality Inventory. Their sleep disturbances were evaluated using the Pittsburgh sleep quality index (PSQI). Independent sample t test and chi-square tests were used to compare the variables between patients with or without sleep disturbance, and multivariate logistic regression analyses were conducted to detect the independent factors.

Results

In total, 448 patients, including 145 with PSQI ≤ 5 and 303 with PSQI > 5, completed the investigation. Multiple logistic regression analysis revealed that significantly more patients with sleep disturbances demonstrated psychological distress, severe pain, depression, and impact of stress events than patients without sleep disturbances (adjusted odds ratios [95% confidence intervals]: 2.83 [1.135–7.067], P = 0.026; 1.14 [1.023–1.280], P = 0.018; 1.08 [1.036–1.133], P < 0.001; and 1.03 [1.002–1.051], P = 0.037, respectively).

Conclusion

Patients with breast cancer showed 67.6% prevalence of sleep disturbances after treatment. The patients with sleep disturbances were more likely to have previously experienced psychological disturbances, severe pain, depression within 5 years after diagnosis. After diagnosis for more than 5 years, higher distress caused by traumatic events still associated with sleep disturbances.