scholarly journals Multi-institutional TSA-amplified Multiplexed Immunofluorescence Reproducibility Evaluation (MITRE) Study

2021 ◽  
Vol 9 (7) ◽  
pp. e002197
Author(s):  
Janis M Taube ◽  
Kristin Roman ◽  
Elizabeth L Engle ◽  
Chichung Wang ◽  
Carmen Ballesteros-Merino ◽  
...  
Keyword(s):  
Breast Carcinoma ◽  
Multispectral Imaging ◽  
Immune Cell ◽  
Clinical Laboratory ◽  
Predictive Biomarkers ◽  
Spatial Arrangement ◽  
Tissue Microarrays ◽  
Fluorescent Detection ◽  
Nsclc Tissue ◽  
Tissue Sections

BackgroundEmerging data suggest predictive biomarkers based on the spatial arrangement of cells or coexpression patterns in tissue sections will play an important role in precision immuno-oncology. Multiplexed immunofluorescence (mIF) is ideally suited to such assessments. Standardization and validation of an end-to-end workflow that supports multisite trials and clinical laboratory processes are vital. Six institutions collaborated to: (1) optimize an automated six-plex assay focused on the PD-1/PD-L1 axis, (2) assess intersite and intrasite reproducibility of staining using a locked down image analysis algorithm to measure tumor cell and immune cell (IC) subset densities, %PD-L1 expression on tumor cells (TCs) and ICs, and PD-1/PD-L1 proximity assessments.MethodsA six-plex mIF panel (PD-L1, PD-1, CD8, CD68, FOXP3, and CK) was rigorously optimized as determined by quantitative equivalence to immunohistochemistry (IHC) chromogenic assays. Serial sections from tonsil and breast carcinoma and non-small cell lung cancer (NSCLC) tissue microarrays (TMAs), TSA-Opal fluorescent detection reagents, and antibodies were distributed to the six sites equipped with a Leica Bond Rx autostainer and a Vectra Polaris multispectral imaging platform. Tissue sections were stained and imaged at each site and delivered to a single site for analysis. Intersite and intrasite reproducibility were assessed by linear fits to plots of cell densities, including %PDL1 expression by TCs and ICs in the breast and NSCLC TMAs.ResultsComparison of the percent positive cells for each marker between mIF and IHC revealed that enhanced amplification in the mIF assay was required to detect low-level expression of PD-1, PD-L1, FoxP3 and CD68. Following optimization, an average equivalence of 90% was achieved between mIF and IHC across all six assay markers. Intersite and intrasite cell density assessments showed an average concordance of R2=0.75 (slope=0.92) and R2=0.88 (slope=0.93) for breast carcinoma, respectively, and an average concordance of R2=0.72 (slope=0.86) and R2=0.81 (slope=0.68) for NSCLC. Intersite concordance for %PD-L1+ICs had an average R2 value of 0.88 and slope of 0.92. Assessments of PD-1/PD-L1 proximity also showed strong concordance (R2=0.82; slope=0.75).ConclusionsAssay optimization yielded highly sensitive, reproducible mIF characterization of the PD-1/PD-L1 axis across multiple sites. High concordance was observed across sites for measures of density of specific IC subsets, measures of coexpression and proximity with single-cell resolution.

747 Evaluation of immune microenvironment of primary lung cancer and synchronous liver metastasis with multispectral imaging system

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A795-A795
Author(s):  
Hyeonbin Cho ◽  
Jae-Hwan Kim ◽  
Ji-Hyun Kim
Keyword(s):  
T Cells ◽  
Liver Metastasis ◽  
Multispectral Imaging ◽  
Immune Cell ◽  
Imaging System ◽  
Cytotoxic T Cells ◽  
Primary Lung Cancer ◽  
Helper T Cells ◽  
Synchronous Liver Metastasis ◽  
Immune Microenvironment

BackgroundCancer immunotherapy (CIT) has substantially improved the survival of cancer patients. However, according to recent studies, liver metastasis was reported to predict worse outcomes for CIT. The main objective of the study is to evaluate the differences in the immune microenvironment (IME) between the primary lung cancer (PL) and synchronous liver metastasis (LM) using a multispectral imaging system.MethodsSix immune markers (CD4, CD8, CTLA-4, granzyme B (GZB), Foxp3 and PD-L1) were analyzed using a multiplex IHC system and inForm program (Akoya) on paired lung-liver samples of 10 patients. Cells were categorized into tumor nest and stroma, and cell counts per unit area were measured for comparison.ResultsThe number of tumor-infiltrating cytotoxic T cells (TIL) in PL (262.5 cells/mm2) was higher than that of LM (113.3 cells/mm2). Additionally, the ratio between the number of TIL and non-TIL was greater in PL (0.31) compared to that of LM (0.26). A similar trend appeared for Helper T cells and regulatory T cells (Treg), as PL consisted of higher numbers of T cells (791.8 Helper T cells/mm2, 195.7 Treg/mm2) than LM (626.3 Helper T cells/mm2, 121.3 Treg/mm2). However, cytotoxic T cells exhibiting GZB+ and CTLA-4- were fewer in PL (140.2 cells/mm2) than in LM (203.3 cells/mm2), and the ratio is 0.69. The mean number of GZB+ TIL in PL (32.5 cells/mm2) was lower than in LM (35.3 cells/mm2), and their proportions among total TIL counts were 0.12 and 0.31, respectively. In PL, GZB+: GZB- ratio is 0.16 while the ratio is 1.91 for LM. A fewer number of TILs exhibiting GZB suggests that PL has lower efficiency in immune response than LM. Another crucial checkpoint receptor that inhibits immune response, CTLA-4, was more prevalent in PL, with CTLA-4+: CTLA-4- ratio in Treg being 0.36 in PL, compared to 0.11 in LM. The tumor proportion score (TPS) of PD-L1 was higher in PL than LM (40.0 vs. 6.6).ConclusionsIn our study, we showed the differences in the numbers of TIL or regulatory T cells and expressions of immune checkpoint receptors (PD-L1, CTLA-4), which significantly influence outcomes for CIT. The study is ongoing to confirm different IME between the PL and LM groups in a larger tumor cohort.ReferencesPeng, Jianhong, et al., Immune Cell Infiltration in the Microenvironment of Liver Oligometastasis from Colorectal Cancer: Intratumoural CD8/CD3 Ratio Is a Valuable Prognostic Index for Patients Undergoing Liver Metastasectomy. Cancers 2019 Dec; 11(12): 1922. https://doi.org/10.3390/cancers11121922Tumeh, Paul C., et al., Liver Metastasis and treatment outcome with Anti-PD-1 monoclonal antibody in patients with melanoma and NSCLC. Cancer Immunol Res 2017 May; 5(5): 417–424. doi: 10.1158/2326-6066.CIR-16-0325Parra, E.R., Immune Cell Profiling in Cancer Using Multiplex Immunofluorescence and Digital Analysis Approaches; Streckfus, C.F., Ed.; IntechOpen: London, UK, 2018; pp. 1–13. doi: 10.5772/intechopen.80380Ribas, A., Hu-Lieskovan, S., What does PD-L1 positive or negative mean?. The Journal of Experimental Medicine 2016;213(13):2835–2840. https://doi.org/10.1084/jem.20161462

scholarly journals Altered Spatial Composition of the Immune Cell Repertoire in Association to CD34+ Blasts in Myelodysplastic Syndromes and Secondary Acute Myeloid Leukemia

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 186
Author(s):  
Marcus Bauer ◽  
Christoforos Vaxevanis ◽  
Haifa Kathrin Al-Ali ◽  
Nadja Jaekel ◽  
Christin Le Hoa Naumann ◽  
...  
Keyword(s):  
T Cells ◽  
Acute Myeloid Leukemia ◽  
Myelodysplastic Syndromes ◽  
Myeloid Leukemia ◽  
Multispectral Imaging ◽  
Immune Cell ◽  
Genetic Alterations ◽  
Spatial Proximity ◽  
Secondary Acute Myeloid Leukemia ◽  
Acute Myeloid

Background: Myelodysplastic syndromes (MDS) are caused by a stem cell failure and often include a dysfunction of the immune system. However, the relationship between spatial immune cell distribution within the bone marrow (BM), in relation to genetic features and the course of disease has not been analyzed in detail. Methods: Histotopography of immune cell subpopulations and their spatial distribution to CD34+ hematopoietic cells was determined by multispectral imaging (MSI) in 147 BM biopsies (BMB) from patients with MDS, secondary acute myeloid leukemia (sAML), and controls. Results: In MDS and sAML samples, a high inter-tumoral immune cell heterogeneity in spatial proximity to CD34+ blasts was found that was independent of genetic alterations, but correlated to blast counts. In controls, no CD8+ and FOXP3+ T cells and only single MUM1p+ B/plasma cells were detected in an area of ≤10 μm to CD34+ HSPC. Conclusions: CD8+ and FOXP3+ T cells are regularly seen in the 10 μm area around CD34+ blasts in MDS/sAML regardless of the course of the disease but lack in the surrounding of CD34+ HSPC in control samples. In addition, the frequencies of immune cell subsets in MDS and sAML BMB differ when compared to control BMB providing novel insights in immune deregulation.

scholarly journals Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration

2021 ◽  
Vol 11 (4) ◽  
pp. 1892
Author(s):  
Ludovic Venet ◽  
Sarthak Pati ◽  
Michael D. Feldman ◽  
MacLean P. Nasrallah ◽  
Paul Yushkevich ◽  
...  
Keyword(s):  
Immune Cell ◽  
Tissue Sample ◽  
Disease Process ◽  
Spatial Arrangement ◽  
General Purpose ◽  
Growth Patterns ◽  
Histological Image ◽  
Target Registration Error ◽  
Diffeomorphic Registration ◽  
3D Information

Histopathologic assessment routinely provides rich microscopic information about tissue structure and disease process. However, the sections used are very thin, and essentially capture only 2D representations of a certain tissue sample. Accurate and robust alignment of sequentially cut 2D slices should contribute to more comprehensive assessment accounting for surrounding 3D information. Towards this end, we here propose a two-step diffeomorphic registration approach that aligns differently stained histology slides to each other, starting with an initial affine step followed by estimating a deformation field. It was quantitatively evaluated on ample (n = 481) and diverse data from the automatic non-rigid histological image registration challenge, where it was awarded the second rank. The obtained results demonstrate the ability of the proposed approach to robustly (average robustness = 0.9898) and accurately (average relative target registration error = 0.2%) align differently stained histology slices of various anatomical sites while maintaining reasonable computational efficiency (<1 min per registration). The method was developed by adapting a general-purpose registration algorithm designed for 3D radiographic scans and achieved consistently accurate results for aligning high-resolution 2D histologic images. Accurate alignment of histologic images can contribute to a better understanding of the spatial arrangement and growth patterns of cells, vessels, matrix, nerves, and immune cell interactions.

scholarly journals Characterizing the Tumor Immune Microenvironment with Tyramide-Based Multiplex Immunofluorescence

2020 ◽  
Vol 25 (4) ◽  
pp. 417-432
Author(s):  
Hidetoshi Mori ◽  
Jennifer Bolen ◽  
Louis Schuetter ◽  
Pierre Massion ◽  
Clifford C. Hoyt ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Multispectral Imaging ◽  
Imaging System ◽  
Predictive Biomarkers ◽  
Cell Types ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment ◽  
Manual Processing ◽  
Cell Densities ◽  
Immune Profiling

AbstractMultiplex immunofluorescence (mIF) allows simultaneous antibody-based detection of multiple markers with a nuclear counterstain on a single tissue section. Recent studies have demonstrated that mIF is becoming an important tool for immune profiling the tumor microenvironment, further advancing our understanding of the interplay between cancer and the immune system, and identifying predictive biomarkers of response to immunotherapy. Expediting mIF discoveries is leading to improved diagnostic panels, whereas it is important that mIF protocols be standardized to facilitate their transition into clinical use. Manual processing of sections for mIF is time consuming and a potential source of variability across numerous samples. To increase reproducibility and throughput we demonstrate the use of an automated slide stainer for mIF incorporating tyramide signal amplification (TSA). We describe two panels aimed at characterizing the tumor immune microenvironment. Panel 1 included CD3, CD20, CD117, FOXP3, Ki67, pancytokeratins (CK), and DAPI, and Panel 2 included CD3, CD8, CD68, PD-1, PD-L1, CK, and DAPI. Primary antibodies were first tested by standard immunohistochemistry and single-plex IF, then multiplex panels were developed and images were obtained using a Vectra 3.0 multispectral imaging system. Various methods for image analysis (identifying cell types, determining cell densities, characterizing cell-cell associations) are outlined. These mIF protocols will be invaluable tools for immune profiling the tumor microenvironment.

scholarly journals Clinical Significance of PDCD4 in Melanoma by Subcellular Expression and in Tumor-Associated Immune Cells

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1049
Author(s):  
Thuy T. Tran ◽  
Chetan K. Rane ◽  
Christopher R. Zito ◽  
Sarah A. Weiss ◽  
Shlomit Jessel ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Brain Metastasis ◽  
Immune Cell ◽  
Tissue Microarrays ◽  
Pleckstrin Homology Domain ◽  
Neoplastic Progression ◽  
Melanoma Brain Metastasis ◽  
Pdcd4 Expression ◽  
Programmed Cell Death 4 ◽  
And Function

Little is known about the subcellular localization and function of programmed cell death 4 (PDCD4) in melanoma. Our past studies suggest PDCD4 interacts with Pleckstrin Homology Domain Containing A5 (PLEKHA5) to influence melanoma brain metastasis outcomes, as high intracranial PDCD4 expression leads to improved survival. We aimed to define the subcellular distribution of PDCD4 in melanoma and in the tumor microenvironment during neoplastic progression and its impact on clinical outcomes. We analyzed multiple tissue microarrays with well-annotated clinicopathological variables using quantitative immunofluorescence and evaluated single-cell RNA-sequencing on a brain metastasis sample to characterize PDCD4+ immune cell subsets. We demonstrate differences in PDCD4 expression during neoplastic progression, with high tumor and stromal PDCD4 levels associated with improved survival in primary melanomas and in intracranial metastases, but not in extracranial metastatic disease. While the expression of PDCD4 is well-documented on CD8+ T cells and natural killer cells, we show that it is also found on B cells and mast cells. PDCD4 expression in the tumor microenvironment is associated with increased immune cell infiltration. Further studies are needed to define the interaction of PDCD4 and PLEKHA5 and to evaluate the utility of this pathway as a therapeutic target in melanoma brain metastasis.

Angiogenic and T-effector subgroups identified by gene expression profiling (GEP) and propensity for PBRM1 and BAP1 alterations in clear cell renal cell carcinoma (ccRCC).

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 343-343
Author(s):  
Pedro C. Barata ◽  
Shuchi Gulati ◽  
Andrew Elliott ◽  
Arpit Rao ◽  
Hans J. Hammers ◽  
...  
Keyword(s):  
Gene Expression ◽  
Clinical Trials ◽  
Hierarchical Clustering ◽  
Immune Cell ◽  
Expression Profiles ◽  
Gene Expression Signature ◽  
Predictive Biomarkers ◽  
Primary Tumors ◽  
Metastatic Sites ◽  
Patient Subgroups

343 Background: With the emergence of multiple active treatment options in RCC, predictive biomarkers for optimal treatment selection are lacking. Gene expression data from IMmotion151 and Javelin Renal 101 clinical trials generated anti-angiogenic and immune signatures that warrant further validation. We aimed to describe the genomic and gene expression profiles in a multi-institutional database of patients with ccRCC, and its association with other biomarkers of interest. Methods: Whole transcriptome sequencing was performed for ccRCC patient samples submitted to a commercial CLIA-certified laboratory (Caris Life Sciences, Phoenix, AZ) from February 2019 to September 2020. Tumor GEP and hierarchical clustering based on the validated 66-gene signature (D’Costa et al, 2020) were used to identify patient subgroups. Samples from both primary tumors and metastatic sites were included. Results: A total of 316 patients with ccRCC, median age 62 (range 32-90), 71.8% men, were included. Tissue samples were obtained from primary tumor (46.5%), lung (12.3%), bone (9.5%), liver (4.7%) and other metastatic sites (27%). Gene expression analysis identified angiogenic, mixed and T-effector subgroups in 24.1%, 51.3% and 24.7%, respectively. Patients with angiogenic subgroup tumors compared to those with T-effector subgroup tumors were more likely to be older (63 versus 60 years, p=0.035), female (40.8% versus 16.7%, p=0.0009) and more frequently found in pancreatic/small bowel metastases (75% versus 12.5%, p=0.0103). Biomarkers of potential response to immunotherapy such as PD-L1 (p=0.0021), TMB (not significant), and dMMR/MSI-H status (not significant) were more frequent in the T-effector subgroup. PBRM1 mutations were more common in the angiogenic subgroup (62.0% vs 37.5%, p=0.0034) while BAP1 mutations were more common in the T-effector subgroup (18.6% versus 3.0%, p= 0.0035). Immune cell population abundance (e.g. NK cells, monocytes) and immune checkpoint gene expression (TIM-3, PD-L1, PD-L2, CTLA4) were also increased in the T-effector subgroup. Conclusions: Our hierarchical clustering results based on the 66-gene expression signature were concordant with results from prior studies. Patient subgroups identified by evaluation of angiogenic and T-effector signature scores exhibit significantly different mutations and immune profiles. These findings require prospective validation in future biomarker-selected clinical trials.

scholarly journals 822 GraphITE: unsupervised graph embeddings approach to multiplex immunofluorescence image exploration reveals new insights into NSCLC and HNSCC tumor microenvironment

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A860-A860
Author(s):  
Michael Surace ◽  
Helen Angell ◽  
Christopher Innocenti ◽  
Zhenning Zhang ◽  
Isabelle Gaffney ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Spatial Information ◽  
Immune Cell ◽  
Predictive Biomarkers ◽  
Tumor Stroma ◽  
List Type ◽  
Graph Embeddings ◽  
Cell Content ◽  
Ffpe Tumor ◽  
Image Exploration

BackgroundPredictive biomarkers for response to IO therapies remain insufficient. Although multiplex immunofluorescence has the potential to provide superior biomarkers, the information garnered from these studies is frequently underleveraged. Due to the large number of markers that must be analyzed (6 - 40 +), and the complexity of the spatial information, the number of hypotheses is large and must be tested systematically and automatically. GraphITE (Graphs-based Investigation of Tissues with Embeddings) is a novel method of converting multiplex IF image analysis results into embeddings, numerical vectors which represent the phenotype of each cell as well as the immediate neighborhood. This allows for the clustering of embeddings based on similarity as well as the discovery of novel predictive biomarkers based on both the spatial and multimarker data in multiplex IF images. Here we demonstrate initial observations from deployment of GraphITE on 564 commercially-sourced NSCLC and HNSCC resections stained with a multiplex IF panel containing CD8, PDL1, PD1, CD68, Ki67, and CK.Methods4 μm FFPE tumor sections were stained with CD8, PDL1, PD1, CD68, Ki67, and CK at Akoya Biosciences using OPAL TSA-linked fluorophores and imaged on a Vectra Polaris. Images were analyzed by Computational Biology (AstraZeneca). Graphs were built by mapping each cell in the mIF image as a node, using the X, Y coordinates and connecting nodes with edges according to distance. 64-dimensional embeddings were generated using Deep Graph InfoMax (DGI).1 Embeddings are downprojected to 2 dimensions using UMAP.2. Details are available in the preprint of the GraphITE methods manuscript.3ResultsA single downprojection was developed using embeddings from 158 HNSCC and 406 NSCLC cases. 60–80 distinct clusters were observed, some of which contained embeddings from both indications and others which were exclusive to one indication. Exclusive clusters describe tissue neighborhoods observed only in one indication. Drivers of cluster exclusivity included increased cell density in HNSCC as compared to NSCLC both in PD-L1- tumor centers with few infiltrating lymphocytes as well as in PD-L1- macrophagedominated neighborhoods. HNSCC and NSCLC embeddings were more colocalized in PD-L1+ tumor centers and in tumor stroma with high CD8+ or CD68+ immune cell content and high PD-L1+ expression.ConclusionsThis study demonstrates the utility and potential of the GraphITE platform to discriminate between and describe both unique and common neighborhood-level features of the tumor microenvironment. Deploying GraphITE across multiple indications effectively leverages spatial heterogeneity and multimarker information from multiplex IF panels.References1. Veličković P, Fedus W, Hamilton WL, Liò P, Bengio Y, DevonHjelm R. Deep Graph Infomax. 2018. arxiv:1809.10341 [stat.ML].2. McInnes L, Healy J, Melville J. UMAP: Uniform manifold approximationand projection for dimension reduction. 2020; arxiv:1802.03426 [stat.ML].3. Innocenti C, Zhang Z, Selvaraj B, Gaffney I, Frangos M, Cohen-Setton J, Dillon LAL, Surace MJ, Pedrinaci C, Hipp J, Baykaner K. An unsupervised graph embeddings approach to multiplex immunofluorescence image explorationbioRxiv 2021.06.09.447654; doi: https://doi.org/10.1101/2021.06.09.447654Ethics ApprovalThe study was approved by AstraZeneca.

scholarly journals Mouse Breast Carcinoma Monocytic/Macrophagic Myeloid-Derived Suppressor Cell Infiltration as a Consequence of Endothelial Dysfunction in Shb-Deficient Endothelial Cells Increases Tumor Lung Metastasis

2021 ◽  
Vol 22 (21) ◽  
pp. 11478
Author(s):  
Qi He ◽  
Maria Jamalpour ◽  
Eric Bergquist ◽  
Robin L. Anderson ◽  
Karin Gustafsson ◽  
...  
Keyword(s):  
Breast Carcinoma ◽  
Lung Metastasis ◽  
Immune Cells ◽  
Tyrosine Kinases ◽  
Immune Cell ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Suppressor Cells ◽  
Suppressor Cell ◽  
Barrier Properties

Metastasis reflects both the inherent properties of tumor cells and the response of the stroma to the presence of the tumor. Vascular barrier properties, either due to endothelial cell (EC) or pericyte function, play an important role in metastasis in addition to the contribution of the immune system. The Shb gene encodes the Src homology-2 domain protein B that operates downstream of tyrosine kinases in both vascular and immune cells. We have investigated E0771.lmb breast carcinoma metastasis in mice with conditional deletion of the Shb gene using the Cdh5-CreERt2 transgene, resulting in inactivation of the Shb-gene in EC and some hematopoietic cell populations. Lung metastasis from orthotopic tumors, tumor vascular and immune cell characteristics, and immune cell gene expression profiles were determined. We found no increase in vascular leakage that could explain the observed increase in metastasis upon the loss of Shb expression. Instead, Shb deficiency in EC promoted the recruitment of monocytic/macrophagic myeloid-derived suppressor cells (mMDSC), an immune cell type that confers a suppressive immune response, thus enhancing lung metastasis. An MDSC-promoting cytokine/chemokine profile was simultaneously observed in tumors grown in mice with EC-specific Shb deficiency, providing an explanation for the expanded mMDSC population. The results demonstrate an intricate interplay between tumor EC and immune cells that pivots between pro-tumoral and anti-tumoral properties, depending on relevant genetic and/or environmental factors operating in the microenvironment.

scholarly journals Peripheral Levels of EPCs, T Cells, and Macrophages’ as Possible Predictive Biomarkers of Acute Myocardial Infarction

2020 ◽  
Author(s):  
Amankeldi Salybekov ◽  
Katsuaki Sakai ◽  
Makoto Natsumeda ◽  
Kosit Vorateera ◽  
Shuzo Kobayashi ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
T Cells ◽  
Cd8 T Cells ◽  
Immune Cell ◽  
Temporal Dynamics ◽  
Predictive Biomarkers ◽  
Mortality And Morbidity ◽  
Patients With Diabetes ◽  
Functionally Impaired

Abstract Acute myocardial infarction (AMI), with a very relevant global disease burden, remains the major mortality and morbidity cause among all cardiovascular diseases. Patient prognosis is strictly dependent on early diagnosis and the adoption of adequate interventions. AMI diagnosis requires constant optimization, particularly considering the individuals at higher risk (or more vulnerable to worse outcomes) such as patients with diabetes mellitus and atherosclerosis. Herein, we investigated the levels of peripheral blood EPCs and immune cell-subsets from myeloid and lymphoid lineages, as well as their temporal dynamics, in the quest for new prognostic biomarkers of AMI. We collected blood from 18 hospitalized patients (days 3 and 7 after AMI onset) and 16 healthy volunteers, and resolved their circulating PBMC populations via flow cytometry. Overall, our data demonstrate a significant decrease in peripheral EPCs and CD8+ T cells, three days following an AMI. EPCs appear to be functionally impaired in AMI patients, and their circulating numbers associate with cardiac vessel lesions. Furthermore, CD8+ T cells (and even M1-macrophages) in the periphery, in combination with the classical laboratory determinations, may serve as high accuracy biomarkers of AMI, potentially aiding to prevent worse AMI outcomes.

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