Single-cell atlas of healthy human blood unveils age-related loss of NKG2C+GZMB-CD8+ memory T cells and accumulation of type 2 memory T cells.

Extensive, large-scale single-cell profiling of healthy human blood at different ages is one of the critical pending tasks required to establish a framework for the systematic understanding of human aging. Here, using single-cell RNA/T cell receptor (TCR)/BCR-seq with protein feature barcoding, we profiled 317 samples from 166 healthy individuals aged 25-85 years old. From this, we generated a dataset from ∼2 million cells that described 55 subpopulations of blood immune cells. Twelve subpopulations changed with age, including the accumulation of GZMK+CD8+ T cells and HLA-DR+CD4+ T cells. In contrast to other T cell memory subsets, transcriptionally distinct NKG2C+GZMB-CD8+ T cells counterintuitively decreased with age. Furthermore, we found a concerted age-associated increase in type 2/interleukin (IL)4-expressing memory subpopulations across CD4+ and CD8+ T cell compartments (CCR4+CD8+ Tcm and Th2 CD4+ Tmem), suggesting a systematic functional shift in immune homeostasis with age. Our work provides novel insights into healthy human aging and a comprehensive annotated resource.

Comprehensive Profiling of an Aging Immune System Reveals Clonal GZMK+ CD8+ T Cells as Conserved Hallmark of Inflammaging.

Systematic understanding of immune aging on a whole-body scale is currently lacking. We characterized age-associated alterations in immune cells across multiple mouse organs using single-cell RNA and antigen receptor sequencing and flow cytometry-based validation. We defined organ-specific and common immune alterations and identified a subpopulation of age-associated granzyme K (GZMK)-expressing CD8+ T (Taa) cells that are distinct from T effector memory (Tem) cells. Taa cells were highly clonal, had specific epigenetic and transcriptional signatures, developed in response to an aged host environment, and expressed markers of exhaustion and tissue homing. Activated Taa cells were the primary source of GZMK, which enhanced inflammatory functions of non-immune cells. In humans, proportions of the circulating GZMK+CD8+ T cell population that shares transcriptional and epigenetic signatures with mouse Taa cells increased during healthy aging. These results identify GZMK+ Taa cells as a potential target to address age-associated dysfunctions of the immune system.

A "Prime and Expand" strategy using the multifunctional fusion proteins to generate memory-like NK cells for cell therapy.

Adoptive cellular therapy (ACT) using memory-like (ML) natural killer (NK) cells, generated through overnight ex vivo activation with IL-12, IL-15, and IL-18, has shown promise for treating hematologic malignancies. We recently reported that a multifunctional fusion molecule, HCW9201, comprising IL-12, IL-15, and IL-18 domains could replace individual cytokines for priming human ML NK cell programming ("Prime" step). However, this approach does not include ex vivo expansion, thereby limiting the ability to test different doses and schedules. Here, we report the design and generation of a multifunctional fusion molecule, HCW9206, consisting of human IL-7, IL-15, and IL-21 cytokines. We observed > 300-fold expansion for HCW9201-primed human NK cells cultured for 14 days with HCW9206 and HCW9101, an IgG1 antibody, recognizing the scaffold domain of HCW9206 ("Expand" step). This expansion was dependent on both HCW9206 cytokines and interactions of the IgG1 mAb with CD16 receptors on NK cells. The resulting "Prime and Expand" ML NK cells exhibited elevated metabolic capacity, stable epigenetic IFNG promoter demethylation, enhanced antitumor activity in vitro and in vivo, and superior persistence in NSG mice. Thus, the "Prime and Expand" strategy represents a simple feeder cell-free approach to streamline manufacturing of clinical-grade ML NK cells to support multidose and off-the-shelf ACT.

Cellular and plasma proteomic determinants of COVID-19 and non-COVID-19 pulmonary diseases relative to healthy aging.

We examine the cellular and soluble determinants of coronavirus disease 2019 (COVID-19) relative to aging by performing mass cytometry in parallel with clinical blood testing and plasma proteomic profiling of ~4,700 proteins from 71 individuals with pulmonary disease and 148 healthy donors (25-80 years old). Distinct cell populations were associated with age (GZMK+CD8+ T cells and CD25low CD4+ T cells) and with COVID-19 (TBET-EOMES- CD4+ T cells, HLA-DR+CD38+ CD8+ T cells and CD27+CD38+ B cells). A unique population of TBET+EOMES+ CD4+ T cells was associated with individuals with COVID-19 who experienced moderate, rather than severe or lethal, disease. Disease severity correlated with blood creatinine and urea nitrogen levels. Proteomics revealed a major impact of age on the disease-associated plasma signatures and highlighted the divergent contribution of hepatocyte and muscle secretomes to COVID-19 plasma proteins. Aging plasma was enriched in matrisome proteins and heart/aorta smooth muscle cell-specific proteins. These findings reveal age-specific and disease-specific changes associated with COVID-19, and potential soluble mediators of the physiological impact of COVID-19.

The immune landscape in tuberculosis reveals populations linked to disease and latency.

Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb) latently infects approximately one-fourth of the world's population. The immune mechanisms that govern progression from latent (LTBI) to active pulmonary TB (PTB) remain poorly defined. Experimentally Mtb-infected non-human primates (NHP) mirror the disease observed in humans and recapitulate both PTB and LTBI. We characterized the lung immune landscape in NHPs with LTBI and PTB using high-throughput technologies. Three defining features of PTB in macaque lungs include the influx of plasmacytoid dendritic cells (pDCs), an Interferon (IFN)-responsive macrophage population, and activated T cell responses. In contrast, a CD27+ Natural killer (NK) cell subset accumulated in the lungs of LTBI macaques. This NK cell population was also detected in the circulation of LTBI individuals. This comprehensive analysis of the lung immune landscape will improve the understanding of TB immunopathogenesis, providing potential targets for therapies and vaccines for TB control.

Enhanced epigenetic profiling of classical human monocytes reveals a specific signature of healthy aging in the DNA methylome.

The impact of healthy aging on molecular programming of immune cells is poorly understood. Here, we report comprehensive characterization of healthy aging in human classical monocytes, with a focus on epigenomic, transcriptomic, and proteomic alterations, as well as the corresponding proteomic and metabolomic data for plasma, using healthy cohorts of 20 young and 20 older males (~27 and ~64 years old on average). For each individual, we performed eRRBS-based DNA methylation profiling, which allowed us to identify a set of age-associated differentially methylated regions (DMRs) - a novel, cell-type specific signature of aging in DNA methylome. Hypermethylation events were associated with H3K27me3 in the CpG islands near promoters of lowly-expressed genes, while hypomethylated DMRs were enriched in H3K4me1 marked regions and associated with age-related increase of expression of the corresponding genes, providing a link between DNA methylation and age-associated transcriptional changes in primary human cells.

Accurate Estrogen Receptor Quantification in Patients with Negative and Low-Positive Estrogen-Receptor-Expressing Breast Tumors: Sub-Analyses of Data from Two Clinical Studies.

INTRODUCTION: Accurate assessment of estrogen receptor (ER) expression is crucial to ensure that patients with early breast cancer are accurately identified for appropriate treatment with endocrine therapy. Reverse transcriptase polymerase chain reaction (RT-PCR), compared with immunohistochemistry (IHC), may provide a more precise indication of ER status. Data were pooled and analyzed from two independent, but similarly designed, studies that examined ER status by IHC and the 21-gene Recurrence Score that employs RT-PCR-based methodology. METHODS: Tumor tissue from patients with early stage breast cancer where ER status could be determined by both IHC and RT-PCR was included. ER status by IHC staining was defined as ER-negative (< 1%), ER-low+ (1-10%), or ER+ (> 10%). ER status by RT-PCR was defined as ER-negative (≤ 6.5) or ER+ (> 6.5). Recurrence Score results from the 21-gene assay were reported on a continuous scale from 0 to 100. A sub-analysis examined the association between ER expression (Allred score 2-7) and response to a 14-day pre-surgery pulse with an aromatase inhibitor. A separate sub-analysis examined the association between ER expression and human epidermal growth factor receptor 2 (HER2) expression. RESULTS: Tumor specimens from 192 patients (aged 25-92 years) were included in the pooled analysis. Correlation between IHC- and RT-PCR-measured ER was strong for IHC-defined ER-negative and ER+ samples (r = 0.646 [95% CI 0.553-0.720]). There was 100% concordance for ER+ tumors; however, 56% of the ER-low+ tumors were negative by RT-PCR. Allred score correlated better with ER status measured by RT-PCR at pre-treatment (r = 0.83) than at post-treatment (r = 0.76). The majority (77%) of ER-negative and ER-low+ tumors were HER2-negative. CONCLUSIONS: RT-PCR provided a more accurate assessment of ER expression in patients with ER-low+ tumors, and data support dual testing for patients with ER-low+ status to ensure appropriate treatment planning as it pertains to endocrine therapy. FUNDING: Genomic Health, Inc.

PolyA tracks, polybasic peptides, poly-translational hurdles.

The abundance of messenger RNA (mRNA) is one of the major determinants of protein synthesis. As such, factors that influence mRNA stability often contribute to gene regulation. Polyadenylation of the 3' end of mRNA transcripts, the poly(A) tail, has long been recognized as one of these regulatory elements given its influence on translation efficiency and mRNA stability. Unwanted translation of the poly(A) tail signals to the cell an aberrant polyadenylation event or the lack of stop codons, which makes this sequence an important element in translation fidelity and mRNA surveillance response. Consequently, investigations into the effects of the poly(A) tail lead to the discoveries that poly-lysine as well as other polybasic peptide sequences and, to a much greater extent, polyA mRNA sequences within the open reading frame influence mRNA stability and translational efficiency. Conservation and evolutionary selection of codon usage in polyA track sequences across multiple organisms suggests a biological significance for coding polyA tracks in the regulation of gene expression. Here, we discuss the cellular responses and consequences of coding polyA track translation and synthesis of polybasic peptides. This article is categorized under: Translation > Translation Mechanisms Translation > Translation Regulation RNA Turnover and Surveillance > Turnover/Surveillance Mechanisms.

c-Myb and C/EBPß regulate OPN and other senescence-associated secretory phenotype factors.

Tumorigenesis results from the convergence of cell autonomous mutations and corresponding stromal changes that promote tumor cell growth. Senescent cells, which secrete a plethora of pro-tumorigenic factors termed the senescence-associated secretory phenotype (SASP), play an important role in tumor formation. Investigation into SASP regulation revealed that many but not all SASP factors are subject to NF-kB and p38MAPK regulation. However, many pro-tumorigenic SASP factors, including osteopontin (OPN), are not responsive to these canonical pathways leaving the regulation of these factors an open question. We report that the transcription factor c-Myb regulates OPN, IL-6, and IL-8 in addition to 57 other SASP factors. The regulation of OPN is direct as c-Myb binds to the OPN promoter in response to senescence. Further, OPN is also regulated by the known SASP regulator C/EBPß. In response to senescence, the full-length activating C/EBPß isoform LAP2 increases binding to the OPN, IL-6, and IL-8 promoters. The importance of both c-Myb and C/EBPß is underscored by our finding that the depletion of either factor reduces the ability of senescent fibroblasts to promote the growth of preneoplastic epithelial cells.

Pre-operative Endocrine Therapy.

PURPOSE OF REVIEW: Pre-operative endocrine therapy can be used to down-stage large or locally advanced breast cancers in ER+ disease. In the last four decades, it has evolved from a treatment perceived as an alternative to surgery for those too unfit to undergo surgery or chemotherapy, to the present day where it is a valuable and valid option in the treatment of postmenopausal women with ER-rich (Allred score 7-8, or > 50% staining for ER) breast cancer. RECENT FINDINGS: Emerging data from the metastatic setting is translating into neoadjuvant trials, utilising dual endocrine targeting or combinations of endocrine agents and other targeted drugs, including those acting against components of the PI3K pathway and the cell cycle. The routine use of peri-operative endocrine therapy in all ER+ tumours may help to yield important long-term prognostic information, and guide adjuvant endocrine therapy. SUMMARY: Pre-operative endocrine therapy is an exciting and evolving area with emerging new approaches. In this review, established evidence and emerging data on its applications are discussed.

Margin width and local recurrence after breast conserving surgery for ductal carcinoma in situ.

INTRODUCTION: Ductal Carcinoma in situ (DCIS) represents 5% of symptomatic and 20-30% of screen detected cancers. Breast conserving surgery (BCS) ± radiotherapy is performed in over 70% of women with DCIS. What constitutes an adequate margin for BCS remains unclear. METHODS: A single institution follow up study has been conducted of 466 patients with pure DCIS treated by BCS between 2000 and 2010 of whom 292 received whole breast radiotherapy and 167 did not. Patients were selected for radiotherapy based on perceived risk of in breast tumour recurrence (IBTR). Distance to nearest radial margin was measured; 10 patients had a margin width of <1 mm, 94 had widths of 1-2 mm and 362 had widths of >2 mm. There was no association of margin width and the use of radiotherapy. RESULTS: At a median follow up of 7.2 years there were 44 IBTR (27 DCIS and 17 invasive). There was no evidence that margin widths >2 mm resulted in a lower rate of IBTR than margin widths of 1-2 mm. The actuarial IBTR rates at 5 and 10 years for margins of 1-2 mm were 9.0% (95% CI ± 5.9%) and 9.0% (95% CI ± 5.9%) respectively and for margins of >2 mm were 8.0% (95% CI ± 3.9%) and 13.0% (95% CI ± 3.9%) respectively. Odds Ratio for IBTR 1-2 mm vs >2 mm was 0.839 (95% CI 0.392-1.827) p = 0.846. In a multivariate analysis only DCIS size predicted for IBTR (HR 2.73 p < 0.0001). CONCLUSION: 1 mm appears a sufficient margin width for BCS in DCIS irrespective of whether patients receive radiotherapy.

Current treatment trends and the need for better predictive tools in the management of ductal carcinoma in situ of the breast.

Ductal carcinoma in situ (DCIS) of the breast represents a group of heterogeneous non-invasive lesions the incidence of which has risen dramatically since the advent of mammography screening. In this review we summarise current treatment trends and up-to-date results from clinical trials studying surgery and adjuvant therapy alternatives, including the recent consensus on excision margin width and its role in decision-making for post-excision radiotherapy. The main challenge in the clinical management of DCIS continues to be the tailoring of treatment to individual risk, in order to avoid the over-treatment of low-risk lesions or under-treatment of DCIS with higher risk of recurring or progressing into invasion. While studies estimate that only about 40% of DCIS would become invasive if untreated, heterogeneity and complex natural history have prevented adequate identification of these higher-risk lesions. Here we discuss attempts to develop prognostic tools for the risk stratification of DCIS lesions and their limitations. Early results of a UK-wide audit of DCIS management (the Sloane Project) have also demonstrated a lack of consistency in treatment. In this review we offer up-to-date perspectives on current treatment and prediction of DCIS, highlighting the pressing clinical need for better prognostic indices. Tools integrating both clinical and histopathological factors together with molecular biomarkers may hold potential for adequate stratification of DCIS according to risk. This could help develop standardised practices for optimal management of patients with DCIS, improving clinical outcomes while providing only the amount of therapy required for each individual patient.

Rapid generation of hypomorphic mutations.

Hypomorphic mutations are a valuable tool for both genetic analysis of gene function and for synthetic biology applications. However, current methods to generate hypomorphic mutations are limited to a specific organism, change gene expression unpredictably, or depend on changes in spatial-temporal expression of the targeted gene. Here we present a simple and predictable method to generate hypomorphic mutations in model organisms by targeting translation elongation. Adding consecutive adenosine nucleotides, so-called polyA tracks, to the gene coding sequence of interest will decrease translation elongation efficiency, and in all tested cell cultures and model organisms, this decreases mRNA stability and protein expression. We show that protein expression is adjustable independent of promoter strength and can be further modulated by changing sequence features of the polyA tracks. These characteristics make this method highly predictable and tractable for generation of programmable allelic series with a range of expression levels.

Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies.

Patient-matched transcriptomic studies using tumour samples before and after treatment allow inter-patient heterogeneity to be controlled, but tend not to include an untreated comparison. Here, Illumina BeadArray technology was used to measure dynamic changes in gene expression from thirty-seven paired diagnostic core and surgically excised breast cancer biopsies obtained from women receiving no treatment prior to surgery, to determine the impact of sampling method and tumour heterogeneity. Despite a lack of treatment and perhaps surprisingly, consistent changes in gene expression were identified during the diagnosis-surgery interval (48 up, 2 down; Siggenes FDR 0.05) in a manner independent of both subtype and sampling-interval length. Instead, tumour sampling method was seen to directly impact gene expression, with similar effects additionally identified in six published breast cancer datasets. In contrast with previous findings, our data does not support the concept of a significant wounding or immune response following biopsy in the absence of treatment and instead implicates a hypoxic response following the surgical biopsy. Whilst sampling-related gene expression changes are evident in treated samples, they are secondary to those associated with response to treatment. Nonetheless, sampling method remains a potential confounding factor for neoadjuvant study design.

Translational control by lysine-encoding A-rich sequences.

Regulation of gene expression involves a wide array of cellular mechanisms that control the abundance of the RNA or protein products of that gene. Here we describe a gene-regulatory mechanism that is based on poly(A) tracks that stall the translation apparatus. We show that creating longer or shorter runs of adenosine nucleotides, without changes in the amino acid sequence, alters the protein output and the stability of mRNA. Sometimes these changes result in the production of an alternative "frame-shifted" protein product. These observations are corroborated using reporter constructs and in the context of recombinant gene sequences. Approximately two percent of genes in the human genome may be subject to this uncharacterized, yet fundamental form of gene regulation. The potential pool of regulated genes encodes many proteins involved in nucleic acid binding. We hypothesize that the genes we identify are part of a large network whose expression is fine-tuned by poly(A)-tracks, and we provide a mechanism through which synonymous mutations may influence gene expression in pathological states.

Accurate Prediction and Validation of Response to Endocrine Therapy in Breast Cancer.

PURPOSE: Aromatase inhibitors (AIs) have an established role in the treatment of breast cancer. Response rates are only 50% to 70% in the neoadjuvant setting and lower in advanced disease. Accurate biomarkers are urgently needed to predict response in these settings and to determine which individuals will benefit from adjuvant AI therapy. PATIENTS AND METHODS: Pretreatment and on-treatment (after 2 weeks and 3 months) biopsies were obtained from 89 postmenopausal women who had estrogen receptor-alpha positive breast cancer and were receiving neoadjuvant letrozole for transcript profiling. Dynamic clinical response was assessed with use of three-dimensional ultrasound measurements. RESULTS: The molecular response to letrozole was characterized and a four-gene classifier of clinical response was established (accuracy of 96%) on the basis of the level of two genes before treatment (one gene [IL6ST] was associated with immune signaling, and the other [NGFRAP1] was associated with apoptosis) and the level of two proliferation genes (ASPM, MCM4) after 2 weeks of therapy. The four-gene signature was found to be 91% accurate in a blinded, completely independent validation data set of patients treated with anastrozole. Matched 2-week on-treatment biopsies were associated with improved predictive power as compared with pretreatment biopsies alone. This signature also significantly predicted recurrence-free survival (P = .029) and breast cancer -specific survival (P = .009). We demonstrate that the test can also be performed with use of quantitative polymerase chain reaction or immunohistochemistry. CONCLUSION: A four-gene predictive model of clinical response to AIs by 2 weeks has been generated and validated. Deregulated immune and apoptotic responses before treatment and cell proliferation that is not reduced 2 weeks after initiation of treatment are functional characteristics of breast tumors that do not respond to AIs.

Molecular changes in lobular breast cancers in response to endocrine therapy.

Invasive lobular carcinoma (ILC) accounts for approximately 10% to 15% of breast carcinomas, and although it responds poorly to neoadjuvant chemotherapy, it appears to respond well to endocrine therapy. Pre- and on-treatment (after 2 weeks and 3 months) biopsies and surgical samples were obtained from 14 postmenopausal women with estrogen receptor-positive (ER(+)) histologically confirmed ILC who responded to 3 months of neoadjuvant letrozole and were compared with a cohort of 14 responding invasive ductal carcinomas (IDC) matched on clinicopathologic features. RNA was extracted and processed for whole human genome expression microarray. Dynamic clinical response was assessed using periodic three-dimensional ultrasound measurements performed during treatment and defined as a reduction of >70% in tumor volume by 3 months. Pretreatment profiles of ILC and IDC tumors showed distinctive expression of genes associated with E-cadherin signaling, epithelial adhesion, and stromal rearrangement. The changes in gene expression in response to letrozole were highly similar between responding ILC and IDC tumors; genes involved in proliferation were downregulated and those involved with immune function and extracellular matrix remodeling were upregulated. However, molecular differences between the histologic subtypes were maintained upon treatment. This is the first study of molecular changes in ILC in response to endocrine therapy to date. The genes that change on letrozole are highly consistent between ILC and IDC. Differences in gene expression between ILC and IDC at diagnosis are maintained at each time point on treatment.