Differentiated Thyroid Cancer Is Associated With Sex-specific Immune Response.

Epidemiology of Thyroid Cancer.

Immune Cell Dynamics in Nordic FL Patients in the SAKK 35/10 Randomized Trial with Rituximab and Lenalidomide

Revealing dynamic transcriptomic and immune cell signatures underlying heterogeneous responses to influenza vaccination.

The natural course of acute Hepatitis C Virus (aHCV) infection is highly heterogeneous, and only few biomarkers have been identified to reliably predict the outcome of infection. We analysed a large panel of soluble inflammatory mediators, immune cell frequencies and phenotypes using peripheral blood samples from 26 patients with symptomatic aHCV infection from a controlled randomized clinical trial (ISRCTN88729946, www.isrctn.com). We found that patients with a spontaneous early HCV control demonstrated a distinct expression pattern of various soluble immune mediators including IFNα and IL-16. Immune cell phenotype and frequency differed between patients who cleared the viral infection early (n=13) and those who remained HCV RNA positive after 12 weeks of observation (n=13) with a reduced ratio of CD4+ T cells to NK cells in the non-early clearer. Further, correlation analyses of 50 cytokines and chemokines revealed more positive correlations in between the distinct cytokines, especially for IFNα and IL-16, and between the cytokines and HCV RNA levels in spontaneous early clearer patients. Beyond that, in vitro stimulation of CD4+ T cells with IL-16 reduced the susceptibility of these cells to killing by IFNα-activated NK cells. These data indicate that the immune cell composition and cytokine pattern varies considerably in patients with symptomatic aHCV infection. NK cell-mediated killing of CD4+ T cells might affect early control of HCV infection.

Age-related gut bacterial changes during infancy have been widely studied, but it remains still unknown how these changes are associated with immune cell composition. This study's aim was to explore if the temporal development of gut bacteria during infancy prospectively affects immune cell composition. Faecal bacteria and short-chain fatty acids were analysed from 67 PreventADALL study participants at four timepoints (birth to 12 months) using reduced metagenome sequencing and gas chromatography. Immune cell frequencies were assessed using mass cytometry in whole blood samples at 12 months. The infants clustered into four groups based on immune cell composition: clusters 1 and 2 showed a high relative abundance of naïve cells, cluster 3 exhibited increased abundance of classical- and non-classical monocytes and clusters 3 and 4 had elevated neutrophil levels. At all age groups, we did observe significant associations between the gut microbiota and immune cell clusters; however, these were generally from low abundant species. Only at 6 months of age we observed significant associations between abundant (>8%) species and immune cell clusters. Bifidobacterium adolescentis and Porphyromonadaceae are associated with cluster 1, while Bacteroides fragilis and Bifidobacterium longum are associated with clusters 3 and 4 respectively. These species have been linked to T-cell polarization and maturation. No significant correlations were found between short-chain fatty acids and immune cell composition. Our findings suggest that abundant gut bacteria at 6 months may influence immune cell frequencies at 12 months, highlighting the potential role of gut microbiota in shaping later immune cell composition.

Cancer gender disparity in incidence, disease aggressiveness and prognosis has been observed in a variety of cancers. Thyroid cancer is one of the fastest growing cancer diagnoses worldwide. It is 2.9-times more common in women than men. The less aggressive histologic subtypes of thyroid cancer are more common in women, whereas the more aggressive histologic subtypes have similar gender distribution. The gender disparity in incidence, aggressiveness and prognosis is well established for thyroid cancer but the cause of the disparity is poorly understood. The aim of this article is to evaluate the current evidence on the cause of thyroid cancer gender disparity. Dietary and environmental factors do not appear to have a significant role in thyroid cancer gender disparity. Common somatic mutations in BRAF, rearranged in transformation/papillary thyroid carcinomas (RET/PTC) and neurotrophin receptor-tyrosine kinase (NTRK) also do not account for the gender disparity in thyroid cancer. While reproductive factors would seem a logical hypothesis to account for the gender disparity, there appears to be no conclusive effect on the risk of developing thyroid cancer. Recent studies on estrogen receptor status in thyroid cancer show a difference in the receptor subtypes expressed based on the histology of thyroid cancer. Moreover, the response to estrogen is dependent on the specific estrogen receptor expressed in thyroid cancer cells. However, what determines the tumor-specific sex hormone receptor expression is unclear. No established molecular factors appear to explain gender differences in thyroid cancer. Therefore, the application of high-throughput genomic and proteomic approaches to the study of thyroid cancer gender disparity could be helpful for better understanding the molecular basis for gender differences in thyroid and other cancers.

BACKGROUND: AB154 is a humanized antibody that blocks human TIGIT (T-cell immunoreceptor with Ig and ITIM domains), an inhibitory receptor expressed on natural killer (NK) cells, CD8+ T cells, CD4+ T cells and regulatory T cells (Treg). DNAM-1 (DNAX Accessory Molecule-1) is an activating receptor found on NK cells, monocytes and a subset of T cells that competes with TIGIT for shared ligands CD155 (PVR) and CD112 (Nectin-2), expressed by cancer and antigen-presenting cells. TIGIT blockade prevents binding to its ligands and shifts the immune balance towards a more favorable DNAM-1 interaction. AB154 has the potential to promote sustained immune activation and tumor clearance, particularly in combination with other immunotherapies such as AB122 (α-PD1). METHODS: Binding affinity of AB154 was determined in CHO cells over-expressing human TIGIT and in human T cells. TIGIT blockade was quantified using a TIGIT-expressing reporter gene cell line. TIGIT and PD-1 expression in cancer patient PBMCs and dissociated tumor cells (DTCs) were assessed by flow cytometry. Gene expression of these markers were also derived from TCGA (The Cancer Genome Atlas), GTEX (Genotype-Tissue Expression Project), RNAseq, and by immunohistochemistry in various tumor types and normal tissues. A receptor occupancy (RO) assay was developed using a competing α-TIGIT antibody and validated ex vivo in whole blood leukocytes from healthy donors and cancer patients. RESULTS: AB154 binds to and blocks human TIGIT with sub-nanomolar affinity. Data assembled from TCGA identified tumor types in which expression of TIGIT is greater than PD-1, equivalent to PD-1, or less than PD-1. Expression of TIGIT and CD155 at the protein level was confirmed by IHC. Immunophenotyping performed on dissociated human tumor cells demonstrated strong correlation between TIGIT and PD-1 expression on immune cells. The intensity of TIGIT staining was lowest on conventional CD4+ T cells while its intensity in Treg and CD8+ T cells was 1.5 to 3-fold higher on average. Using flow cytometry, we profiled lymphocyte populations in peripheral whole blood and demonstrated target engagement by AB154 on T cells and NK cells in the low nanomolar range in both healthy and cancer patients (ex vivo). This receptor occupancy assay is being used to monitor target engagement in AB154 dosed patient samples in an ongoing Phase 1 dose escalation study in oncology patients. CONCLUSION: Blockade of multiple immune checkpoint proteins can confer effective and durable responses in the treatment of cancer. The data presented will provide: 1) the basis for selection of tumor types by TIGIT RNA and protein expression profiles, 2) rationale for combining AB154 with AB122 (α-PD-1) in upcoming clinical trials, 3) methodology to evaluate TIGIT receptor occupancy and 4) preliminary PK/PD data from the AB154 Phase 1 dose escalation study in oncology subjects. Citation Format: Amy E. Anderson, Daniel DiRenzo, Susan Lee, Akshata Udyavar, Kimberline Gerrick, Hema Singh, Xiaoning Zhao, Lixia Jin, Lisa Seitz, Nigel P. Walker, Matthew J. Walters, Joanne B. Tan. Characterization of AB154, a humanized anti-TIGIT antibody, for use in combination studies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1557.

BACKGROUND: AB154 is a humanized antibody that blocks human TIGIT (T-cell immunoreceptor with Ig and ITIM domains), an inhibitory receptor expressed on natural killer (NK) cells, CD8+ T cells, CD4+ T cells and regulatory T cells (Treg). DNAM-1 (DNAX Accessory Molecule-1) is an activating receptor found on NK cells, monocytes and a subset of T cells that competes with TIGIT for shared ligands CD155 (PVR) and CD112 (Nectin-2), expressed by cancer and antigen-presenting cells. TIGIT blockade prevents binding to its ligands and shifts the immune balance towards a more favorable DNAM-1 interaction. AB154 has the potential to promote sustained immune activation and tumor clearance, particularly in combination with other immunotherapies such as AB122 (α-PD1). METHODS: Binding affinity of AB154 was determined in CHO cells over-expressing human TIGIT and in human T cells. TIGIT blockade was quantified using a TIGIT-expressing reporter gene cell line. TIGIT and PD-1 expression in cancer patient PBMCs and dissociated tumor cells (DTCs) were assessed by flow cytometry. Gene expression of these markers were also derived from TCGA (The Cancer Genome Atlas), GTEX (Genotype-Tissue Expression Project), RNAseq, and by immunohistochemistry in various tumor types and normal tissues. A receptor occupancy (RO) assay was developed using a competing α-TIGIT antibody and validated ex vivo in whole blood leukocytes from healthy donors and cancer patients. RESULTS: AB154 binds to and blocks human TIGIT with sub-nanomolar affinity. Data assembled from TCGA identified tumor types in which expression of TIGIT is greater than PD-1, equivalent to PD-1, or less than PD-1. Expression of TIGIT and CD155 at the protein level was confirmed by IHC. Immunophenotyping performed on dissociated human tumor cells demonstrated strong correlation between TIGIT and PD-1 expression on immune cells. The intensity of TIGIT staining was lowest on conventional CD4+ T cells while its intensity in Treg and CD8+ T cells was 1.5 to 3-fold higher on average. Using flow cytometry, we profiled lymphocyte populations in peripheral whole blood and demonstrated target engagement by AB154 on T cells and NK cells in the low nanomolar range in both healthy and cancer patients (ex vivo). This receptor occupancy assay is being used to monitor target engagement in AB154 dosed patient samples in an ongoing Phase 1 dose escalation study in oncology patients. CONCLUSION: Blockade of multiple immune checkpoint proteins can confer effective and durable responses in the treatment of cancer. The data presented will provide: 1) the basis for selection of tumor types by TIGIT RNA and protein expression profiles, 2) rationale for combining AB154 with AB122 (α-PD-1) in upcoming clinical trials, 3) methodology to evaluate TIGIT receptor occupancy and 4) preliminary PK/PD data from the AB154 Phase 1 dose escalation study in oncology subjects. Citation Format: Amy E. Anderson, Daniel DiRenzo, Susan Lee, Akshata Udyavar, Kimberline Gerrick, Hema Singh, Xiaoning Zhao, Lixia Jin, Lisa Seitz, Nigel P. Walker, Matthew J. Walters, Joanne B. Tan. Characterization of AB154, a humanized anti-TIGIT antibody, for use in combination studies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1557.

Insulitis and aging: Immune cell dynamics in Langerhans islets.

BackgroundThe tumor microenvironment (TME) is instrumental in facilitating immune evasion and promoting tumor progression in non-small cell lung cancer (NSCLC). However, the spatial heterogeneity and molecular interactions between immune and non-immune cells are not yet fully understood. This research amalgamated single-cell RNA sequencing (scRNA-seq) and spatial transcriptomic data to examine the cellular composition, ligand-receptor (LR) interactions, and immunosuppressive mechanisms of NSCLC.MethodsScRNA-seq was performed on NSCLC tumors and paired adjacent normal tissues to analyze immune and stromal cell heterogeneity. Spatial transcriptomics was applied to consecutive tissue sections to map the distribution of major cell types and their interactions. Cell clustering, a differential gene expression analysis, and LR interaction modeling were used to identify key immune regulatory pathways. In vitro co-culture experiments were performed for functional validation.ResultsA total of 28,496 high-quality single cells were analyzed, and significant differences in immune cell composition between the tumor and normal tissues were found. The NSCLC tumors exhibited a notable increase in tumor-associated macrophages (TAMs) and fibroblasts, as well as a decrease in the presence of cytotoxic T cells and natural killer (NK) cells. Notably, spatial transcriptomics revealed that the TAMs were predominantly localized in the tumor cores, where they interacted with T cells via immunosuppressive LR pairs. The SPP1-CD44 and NECTIN2-TIGIT axes were identified as major immunosuppressive pathways, with the SPP1 secreted by the TAMs contributing to immune evasion. Additionally, the HLA-E-CD8B interactions were significantly upregulated, suggesting a potential mechanism of antigen presentation modulation. The functional validation showed that SPP1 overexpression (OE) enhanced PDCD1 and CD160 expression, further confirming its role in shaping the immunosuppressive microenvironment.ConclusionsThis study established a high-resolution immune atlas of NSCLC, identifying novel macrophage-T cell interactions that drive immune suppression. Our findings suggest that targeting the SPP1-CD44, NECTIN2-TIGIT, and HLA-E-CD8B pathways may improve immune responses in NSCLC. These findings provide novel therapeutic targets and highlight the potential for combination immunotherapies to overcome macrophage-mediated immune evasion.

Introduction: The influence of the immune system on follicular cell-derived thyroid cancer behavior has been suggested by various studies but this information has not been comprehensively translated into a prediction for thyroid cancer prognosis. We aimed to identify circulating immune cell profiles associated with thyroid cancer prognosis. This information would be a significant advance in the field of thyroid cancer management. Methods: We performed a single-center prospective cohort study of 32 follicular-cell derived thyroid cancer patients enrolled at the time of initial or subsequent surgery. We performed peripheral blood multi-parameter flow cytometry and collected relevant clinicopathologic, biochemical and radiologic data. We classified patients based on the AJCC TNM cancer stage, American Thyroid Association (ATA) initial risk of recurrence, and status of disease during follow-up. Results: On initial immunophenotyping, patients with aggressive/advanced thyroid cancer (ATA high risk vs. intermediate/low risk; AJCC stage 3/4 vs. 1/2; recurrence or distant metastases vs. no evidence of disease during follow-up) demonstrated increased circulating monocytes and granulocytes but decreased all lymphocytes, T cells (specifically CD4+ and gamma delta) and natural killer (NK) T-like cells. Further immunophenotyping revealed that aggressive/advanced thyroid cancer had increased circulating CD4+CD45+RO effector memory but decreased CD4+CD45+RA central memory T cells and increased regulatory T cells. Stage 3/4 thyroid cancer patients additionally had increased circulating CD33+HLADR- myeloid-derived suppressor cells (MDSCs) as compared to stage1/2. Conclusions: Aggressive thyroid cancer at presentation (AJCC stage, ATA risk category) or during follow-up (distant metastases) is characterized by a circulating immunophenotype comprising of increased immune suppressor cells (regulatory T cells, MDSCs, effector memory T cells) but decreased immune activator cells (CD4+ T cells, gamma delta T cells, NK T-like cells, central memory T cells) as compared to less aggressive thyroid cancer. This circulating immunophenotype may serve as a biomarker for cancer prognosis and guide the selection and development of novel immunotherapies for advanced thyroid cancer.

Introduction: The influence of the immune system on follicular cell-derived thyroid cancer behavior has been suggested by various studies but this information has not been comprehensively translated into a prediction for thyroid cancer prognosis. We aimed to identify circulating immune cell profiles associated with thyroid cancer prognosis. This information would be a significant advance in the field of thyroid cancer management. Methods: We performed a single-center prospective cohort study of 32 follicular-cell derived thyroid cancer patients enrolled at the time of initial or subsequent surgery. We performed peripheral blood multi-parameter flow cytometry and collected relevant clinicopathologic, biochemical and radiologic data. We classified patients based on the AJCC TNM cancer stage, American Thyroid Association (ATA) initial risk of recurrence, and status of disease during follow-up. Results: On initial immunophenotyping, patients with aggressive/advanced thyroid cancer (ATA high risk vs. intermediate/low risk; AJCC stage 3/4 vs. 1/2; recurrence or distant metastases vs. no evidence of disease during follow-up) demonstrated increased circulating monocytes and granulocytes but decreased all lymphocytes, T cells (specifically CD4+ and gamma delta) and natural killer (NK) T-like cells. Further immunophenotyping revealed that aggressive/advanced thyroid cancer had increased circulating CD4+CD45+RO effector memory but decreased CD4+CD45+RA central memory T cells and increased regulatory T cells. Stage 3/4 thyroid cancer patients additionally had increased circulating CD33+HLADR- myeloid-derived suppressor cells (MDSCs) as compared to stage1/2. Conclusions: Aggressive thyroid cancer at presentation (AJCC stage, ATA risk category) or during follow-up (distant metastases) is characterized by a circulating immunophenotype comprising of increased immune suppressor cells (regulatory T cells, MDSCs, effector memory T cells) but decreased immune activator cells (CD4+ T cells, gamma delta T cells, NK T-like cells, central memory T cells) as compared to less aggressive thyroid cancer. This circulating immunophenotype may serve as a biomarker for cancer prognosis and guide the selection and development of novel immunotherapies for advanced thyroid cancer.??

This study leverages the GSE4386 dataset, obtained from atrial tissue samples post-coronary artery bypass graft (CABG) surgery, to investigate the impact of anesthetic agents (sevoflurane and propofol) on gene expression and immune cell infiltration. Hierarchical clustering and box plots were employed for dataset preprocessing, highlighting a significant outlier (sample GSM99282), subsequently removed to ensure data integrity. Differentially expressed genes (DEGs) were identified using volcano plots based on specific log-fold-change and P-value thresholds. Additional analyses included the Friends approach, Spearman's correlation, and gene set enrichment analysis (GSEA), exploring functional annotations and pathways. Heatmaps and bubble plots depicted DEGs, revealing distinct expression patterns between the sevoflurane and propofol groups. Friends analysis identified top genes based on log fold changes, further correlated using Spearman's method. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses illustrated functional annotations of DEGs, while GSEA highlighted enriched biological categories. Immune cell infiltration analysis showcased varied cellular presence post-CABG. ESTIMATE algorithm scores demonstrated differences in immune, stroma, and estimate scores. Microenvironment Cell Populations-counter (MCPcounter) revealed an increased abundance of cytotoxic lymphocytes in the sevoflurane group, confirmed by a single sample GSEA. CIBERSORT algorithm identified distinct immune cell compositions, highlighting differences in macrophage M0 prevalence between sevoflurane and propofol groups. This comprehensive analysis provides insights into anesthetic-induced gene expression changes and immune cell dynamics in atrial tissue post-CABG surgery. The identified DEGs and immune cell compositions offer potential biomarkers and therapeutic targets for refining anesthetic strategies in cardiac surgeries.

Increasing evidence supports a central role of the immune system in lung diseases. Understanding how immunological alterations between lung diseases provide opportunities for immunotherapy. Exhausted T cells play a key role of immune suppression in lung cancer and chronic obstructive pulmonary disease was proved in our previous study. The present study aims to furthermore define molecular landscapes and heterogeneity of systemic immune cell target proteomic and transcriptomic profiles and interactions between circulating immune cells and lung residential cells in various lung diseases. We firstly measured target proteomic profiles of circulating immune cells from healthy volunteers and patients with stable pneumonia, stable asthma, acute asthma, acute exacerbation of chronic obstructive pulmonary disease, chronic obstructive pulmonary disease and lung cancer, using single‐cell analysis by cytometry by time‐of‐flight with 42 antibodies. The nine immune cells landscape was mapped among those respiratory system diseases, including CD4+ T cells, CD8+ T cells, dendritic cells, B cells, eosinophil, γδT cells, monocytes, neutrophil and natural killer cells. The double‐negative T cells and exhausted CD4+ central memory T cells subset were identified in patients with acute pneumonia. This T subset expressed higher levels of T‐cell immunoglobulin and mucin domain‐containing protein 3 (Tim3) and T‐cell immunoreceptor with Ig and ITIM domains (TIGIT) in patients with acute pneumonia and stable pneumonia. Biological processes and pathways of immune cells including immune response activation, regulation of cell cycle and pathways in cancer in peripheral blood immune cells were defined by bulk RNA sequencing (RNA‐seq). The heterogeneity among immune cells including CD4+, CD8+ T cells and NK T cells by single immune cell RNA‐seq with significant difference was found by single‐cell sequencing. The effect of interstitial telocytes on the immune cell types and immune function was finally studied and the expressions of CD8a and chemokine C–C motif receptor 7 (CCR7) were increased significantly in co‐cultured groups. Our data indicate that proteomic and transcriptomic profiles and heterogeneity of circulating immune cells provides new insights for understanding new molecular mechanisms of immune cell function, interaction and modulation as a source to identify and develop biomarkers and targets for lung diseases.

Purpose: Thyroid cancer is a growing concern in public health and has noticeable disparities in incidence among demographic subgroups and regions. This study analyzed the incidence of thyroid cancer from 1999 to 2020 using the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC-WONDER) database, focusing on age, race, and gender. Additionally, the study sought to identify geographical disparities in thyroid cancer incidence and understand temporal trends over the study period.Methods: The study extracted thyroid cancer incidences from the CDC-WONDER database from 1999 to 2020 by age, race, and gender demographics. Crude incidence rates were calculated based on a 100,000 population, and temporal trends were identified to peak incidence periods, using Excel (Microsoft Corporation, Redmond, WA) and RStudio version 4.3.1 (Posit Software, Boston, MA).Results: The data included a total population of 6,722,531,004, with 837,105 (0.0124%) diagnosed cases of thyroid cancer between 1999 and 2020. The crude rate was highest in the 65-74-year age group with a rate of 22.5 per 100,000, in females at 18.4 per 100,000, and in the White race with a rate of 13.2 per 100,000, while California had the highest statewise distribution, exceeding 75,000 per 100,000 population. From temporal trends, there is a general increasing trend in the incidence of thyroid cancer, with the crude incidence rate for the period under study amounting to 12.5 per 100,000 population, and a peak observed in 2015.Conclusion: The findings point to significant demographic and geographic disparities in the incidence of thyroid cancer across the United States. Such an insight should be crucial for designing directed public health interventions and well-conceived screening protocols for high-risk subgroups. Geographic disparities further aid in resource mobilization and health service planning. This study emphasizes the importance of good cancer surveillance and continuous monitoring of public health strategies, which would provide early detection to attain better patient outcomes.