Relationship of inflammatory profile of elderly patients serum and senescence-associated secretory phenotype with human breast cancer cells proliferation: Role of IL6/IL8 ratio

Barajas-Gómez, Bertha Alicia; Rosas-Carrasco, Óscar; Morales-Rosales, S. L.; Vázquez, Gibrán Pedraza; González-Puertos, Viridiana Yazmín; Juárez‐Cedillo, Teresa; García, Jorge A.; López‐Díazguerrero, Norma Edith; Damián-Matsumura, Pablo; Königsberg, Mina; Luna–López, Armando

doi:10.1016/j.cyto.2016.12.001

Cited by 37 publications

(29 citation statements)

References 96 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Neopterin, a metabolite of GTP, is produced in macrophages upon stimulation by IFNg released by activated T cells indicating an ongoing immune system activation and inflammatory response in the older animals. Consistent with increase in neopterin, we also found an increase in IL-6 and IL-8 supporting a generalized monocyte/macrophage activation contributing to systemic inflammation in the older animals (28). While IL-10 is an anti-inflammatory cytokine, it can be rationalized that it’s elevated in older animals as an attempt by the immune system to dampen systemic inflammation and maintain immune regulation.…”

Section: Discussionsupporting

confidence: 79%

Age associated microbiome modulation and its association with systemic inflammation in a Rhesus Macaque Model

Pallikkuth

Russell

Sirupangi

et al. 2019

Preprint

View full text Add to dashboard Cite

Words)Background: As the individual ages, the immune system decreases in activity while chronic systemic inflammation increases. The microbiome is also affected by age, decreasing in beneficial microbes while increasing in pathogenic, inflammation inducing microbes. While aging is known to affect both, links between the two have been hard to uncover.Methods: Four young (age 3-6 years) and 12 old (age>18 years) Rhesus macaques were recruited for the study. PBMCs and plasma were collected to investigate immune cell subsets by flow cytometry and plasma cytokines by bead based multiplex cytokine analysis respectively. Stool samples were collected by ileal loop for microbiome analysis by shotgun metagenomics and serum, gut microbial lysate and microbe-free fecal extract was used to determine metabolomics by mass-spectrometry.Results: Our aging NHP model recaptured many of the features of the age-associated immune alterations, with increased inflammation and alterations in immune cells subsets with lower number of CD4 T cells and a trend of age associated alterations in maturation subsets in older animals with lower naïve and higher central memory CD4 T cells. Older animals showed a significantly different microbiome from young animals with lower abundance of Firmicutes and higher Archaeal and Proteobacterial species. Correlation analysis showed a link between microbes in older animals with systemic inflammation. Analysis of metabolites in the serum and feces showed significant differences between specific metabolites between young and older animals that can influence age-associated morbidities.Conclusion: These data support the age associated alterations in microbiome profile and its association with persistent systemic inflammation and metabolome changes. Further mechanistic studies are needed to understand the relationship between inflammation and microbiome.Nevertheless, this NHP model recapitulates human age associated changes in immune, inflammatory and microbiome profiles and can be useful for designing future studies targeting microbiome modulations in aging.

show abstract

Section: Discussionsupporting

confidence: 79%

Age associated microbiome modulation and its association with systemic inflammation in a Rhesus Macaque Model

Pallikkuth

Russell

Sirupangi

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…A 2016 study showed the removal of senescent cells delayed tumorigenesis and increased longevity in normal mice models, which could be a result of decreased SASP (Baker et al, 2016). Similar results were found in a study on Rapamycin, a mammalian TORC1 (MTOR) inhibitor that suppresses SASP in senescent cells (Barajas-Gómez et al, 2017). The use of Rapamycin decreased prostate tumor growth and increased longevity in mice.…”

Section: Why Is Cancer Incidence/prevalence Decreased In Oldest-old?mentioning

confidence: 65%

“…As aging occurs senescent cells accumulate, secreting cytokines, chemokines and proteases in a process called senescence-associated secretory phenotype (SASP). SASP is characterized by low-level chronic inflammation referred to as inflammaging, which has been shown to increase the risk of age-related physiologies, including cancer and degenerative disorders in the elderly (Remi-Martin et al, 2015;Barajas-Gómez et al, 2017). Elements of SASP, interleukin 6 (IL-6) and 8 (IL-8) are proven pathogenic factors in tumor development (Remi-Martin et al, 2015;Barajas-Gómez et al, 2017).…”

Section: Why Is Cancer Incidence/prevalence Decreased In Oldest-old?mentioning

confidence: 99%

Cancer—Incidence, prevalence and mortality in the oldest-old. A comprehensive review

Evans

Fischer

et al. 2017

Mechanisms of Ageing and Development

View full text Add to dashboard Cite

Chronic health conditions are commonplace in older populations. The process of aging impacts many of the world's top health concerns. With the average life expectancy continuing to climb, understanding patterns of morbidity in aging populations has become progressively more important. Cancer is an age-related disease, whose risk has been proven to increase with age. Limited information is published about the epidemiology of cancer and the cancer contribution to mortality in the 85+ age group, often referred to as the oldest-old. In this review, we perform a comprehensive assessment of the most recent (2011-2016) literature on cancer prevalence, incidence and mortality in the oldest-old. The data shows cancer prevalence and cancer incidence increases until ages 85-89, after which the rates decrease into 100+ ages. However the number of overall cases has steadily increased over time due to the rise in population. Cancer mortality continues to increase after age 85+. This review presents an overview of plausible associations between comorbidity, genetics and age-related physiological effects in relation to cancer risk and protection. Many of these age-related processes contribute to the lowered risk of cancer in the oldest-old, likewise other certain health conditions may "protect" from cancer in this age group.

show abstract

“…The incidence of breast cancer and associated mortality rate increased with age, and almost one half of newly diagnostic breast cancer cases occurred at age 65 and older (50,51). Barajas-Gómez and colleagues compared the concentration of cytokines between patients and healthy young donors and found that pro-inflammatory cytokine levels, including IL-2, IL-6, and IL-8, were increased in the elderly, whereas anti-inflammatory cytokines, such as IL-4 and IL-10, exhibited decreased expression (52). This low intensity and chronic inflammatory microenvironment promoted tumorigenesis and progression.…”

Section: Discussionmentioning

confidence: 99%

Alterations in Immune-Related Genes as Potential Marker of Prognosis in Breast Cancer

Geng

et al. 2020

Front. Oncol.

View full text Add to dashboard Cite

The tumor microenvironment (TME) is a heterogeneous system that contributes to breast cancer progression. The Cancer Genome Atlas (TCGA) database provides global gene expression profiling data for further analysis of various malignancies, including breast cancer. Based on the ESTIMATE algorithm, immune and stromal scores were calculated according to immune or stromal components in the TME. We divided breast cancer cases into high-and low-score groups and identified differentially expressed genes (DEGs) that were significantly associated with overall survival. We performed enrichment analysis and constructed a protein-protein interaction network and found that the DEGs were mainly involved in primary immunodeficiency, T cell receptor signaling pathway and cytokine-cytokine receptor reaction. Furthermore, we explored the effect of aging on immune and stromal scores, which was validated by lower immune/stromal scores, lower infiltration of T cells and lower expression of immune checkpoints in the elder group. In conclusion, certain differentially expressed immune-related genes contribute to longer overall survival, and aging influences the immune microenvironment and immunotherapy efficacy by changing the tumor-infiltrating lymphocyte (TIL) abundance and checkpoint expression in breast cancer.

show abstract

Relationship of inflammatory profile of elderly patients serum and senescence-associated secretory phenotype with human breast cancer cells proliferation: Role of IL6/IL8 ratio

Cited by 37 publications

References 96 publications

Age associated microbiome modulation and its association with systemic inflammation in a Rhesus Macaque Model

Age associated microbiome modulation and its association with systemic inflammation in a Rhesus Macaque Model

Cancer—Incidence, prevalence and mortality in the oldest-old. A comprehensive review

Alterations in Immune-Related Genes as Potential Marker of Prognosis in Breast Cancer

Contact Info

Product

Resources

About