scholarly journals Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy

2018 ◽  
Author(s):  
Felix J. Hartmann ◽  
Joel Babdor ◽  
Pier Federico Gherardini ◽  
El-Ad D. Amir ◽  
Kyle Jones ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Biomarker Discovery ◽  
Immune Cell ◽  
Automated Analysis ◽  
Analysis Data ◽  
Immune Monitoring ◽  
Investigator Bias ◽  
Monitoring Technologies ◽  
Peripheral Immune Cells ◽  
Multiple Samples

SummaryThe success of immunotherapy has led to a myriad of new clinical trials. Connected to these trials are efforts to discover biomarkers providing mechanistic insight and predictive signatures for personalization. Still, the plethora of immune monitoring technologies can face investigator bias, missing unanticipated cellular responses in limited clinical material. We here present a mass cytometry workflow for standardized, systems-level biomarker discovery in immunotherapy trials. To broadly enumerate human immune cell identity and activity, we established and extensively assessed a reference panel of 33 antibodies to cover major cell subsets, simultaneously quantifying activation and immune checkpoint molecules in a single assay. The resulting assay enumerated ≥ 98% of peripheral immune cells with ≥ 4 positively identifying antigens. Robustness and reproducibility were demonstrated on multiple samples types, across research centers and by orthogonal measurements. Using automated analysis, we monitored complex immune dynamics, identifying signatures in bone-marrow transplantation associated graft-versus-host disease. This validated and available workflow ensures comprehensive immunophenotypic analysis, data comparability and will accelerate biomarker discovery in immunomodulatory therapeutics.

New Trends in Anti-Cancer Therapy: Combining Conventional Chemotherapeutics with Novel Immunomodulators

2018 ◽  
Vol 25 (36) ◽  
pp. 4758-4784 ◽  
Author(s):  
Amy L. Wilson ◽  
Magdalena Plebanski ◽  
Andrew N. Stephens
Keyword(s):  
Clinical Trials ◽  
Cell Death ◽  
Immune System ◽  
Cancer Therapy ◽  
Immune Cell ◽  
Cytotoxic T Lymphocyte ◽  
Tumour Microenvironment ◽  
Immune Checkpoints ◽  
Tumour Regression ◽  
Cell Trafficking

Cancer is one of the leading causes of death worldwide, and current research has focused on the discovery of novel approaches to effectively treat this disease. Recently, a considerable number of clinical trials have demonstrated the success of immunomodulatory therapies for the treatment of cancer. Monoclonal antibodies can target components of the immune system to either i) agonise co-stimulatory molecules, such as CD137, OX40 and CD40; or ii) inhibit immune checkpoints, such as cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4), programmed cell death-1 (PD-1) and its corresponding ligand PD-L1. Although tumour regression is the outcome for some patients following immunotherapy, many patients still do not respond. Furthermore, chemotherapy has been the standard of care for most cancers, but the immunomodulatory capacity of these drugs has only recently been uncovered. The ability of chemotherapy to modulate the immune system through a variety of mechanisms, including immunogenic cell death (ICD), increased antigen presentation and depletion of regulatory immune cells, highlights the potential for synergism between conventional chemotherapy and novel immunotherapy. In addition, recent pre-clinical trials indicate dipeptidyl peptidase (DPP) enzyme inhibition, an enzyme that can regulate immune cell trafficking to the tumour microenvironment, as a novel cancer therapy. The present review focuses on the current immunological approaches for the treatment of cancer, and summarizes clinical trials in the field of immunotherapy as a single treatment and in combination with chemotherapy.

scholarly journals Immune Monitoring during Therapy Reveals Activitory and Regulatory Immune Responses in High-Risk Neuroblastoma

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2096
Author(s):  
Celina L. Szanto ◽  
Annelisa M. Cornel ◽  
Sara M. Tamminga ◽  
Eveline M. Delemarre ◽  
Coco C. H. de Koning ◽  
...  
Keyword(s):  
T Cells ◽  
High Risk ◽  
Nk Cells ◽  
Immune Cell ◽  
High Dose Chemotherapy ◽  
Immune Monitoring ◽  
High Dose ◽  
Effector Cells ◽  
Gm Csf ◽  
Immune Cell Subsets

Despite intensive treatment, including consolidation immunotherapy (IT), prognosis of high-risk neuroblastoma (HR-NBL) is poor. Immune status of patients over the course of treatment, and thus immunological features potentially explaining therapy efficacy, are largely unknown. In this study, the dynamics of immune cell subsets and their function were explored in 25 HR-NBL patients at diagnosis, during induction chemotherapy, before high-dose chemotherapy, and during IT. The dynamics of immune cells varied largely between patients. IL-2- and GM-CSF-containing IT cycles resulted in significant expansion of effector cells (NK-cells in IL-2 cycles, neutrophils and monocytes in GM-CSF cycles). Nonetheless, the cytotoxic phenotype of NK-cells was majorly disturbed at the start of IT, and both IL-2 and GM-CSF IT cycles induced preferential expansion of suppressive regulatory T-cells. Interestingly, proliferative capacity of purified patient T-cells was impaired at diagnosis as well as during therapy. This study indicates the presence of both immune-enhancing as well as regulatory responses in HR-NBL patients during (immuno)therapy. Especially the double-edged effects observed in IL-2-containing IT cycles are interesting, as this potentially explains the absence of clinical benefit of IL-2 addition to IT cycles. This suggests that there is a need to combine anti-GD2 with more specific immune-enhancing strategies to improve IT outcome in HR-NBL.

scholarly journals Profiles of Peripheral Immune Cells of Uncomplicated COVID-19 Cases with Distinct Viral RNA Shedding Periods

Viruses ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 514
Author(s):  
Denise Utami Putri ◽  
Cheng-Hui Wang ◽  
Po-Chun Tseng ◽  
Wen-Sen Lee ◽  
Fu-Lun Chen ◽  
...  
Keyword(s):  
Immune Response ◽  
Immune Cells ◽  
Mononuclear Cells ◽  
Immune Cell ◽  
Severe Disease ◽  
Viral Rna ◽  
Disease Course ◽  
Peripheral Blood Mononuclear ◽  
Peripheral Immune Cells ◽  
Cell Profile

The heterogeneity of immune response to COVID-19 has been reported to correlate with disease severity and prognosis. While so, how the immune response progress along the period of viral RNA-shedding (VRS), which determines the infectiousness of disease, is yet to be elucidated. We aim to exhaustively evaluate the peripheral immune cells to expose the interplay of the immune system in uncomplicated COVID-19 cases with different VRS periods and dynamic changes of the immune cell profile in the prolonged cases. We prospectively recruited four uncomplicated COVID-19 patients and four healthy controls (HCs) and evaluated the immune cell profile throughout the disease course. Peripheral blood mononuclear cells (PBMCs) were collected and submitted to a multi-panel flowcytometric assay. CD19+-B cells were upregulated, while CD4, CD8, and NK cells were downregulated in prolonged VRS patients. Additionally, the pro-inflammatory-Th1 population showed downregulation, followed by improvement along the disease course, while the immunoregulatory cells showed upregulation with subsequent decline. COVID-19 patients with longer VRS expressed an immune profile comparable to those with severe disease, although they remained clinically stable. Further studies of immune signature in a larger cohort are warranted.

scholarly journals IMMU-31. PNOC007: H3.3K27M SPECIFIC PEPTIDE VACCINE COMBINED WITH POLY-ICLC FOR THE TREATMENT OF NEWLY DIAGNOSED HLA-A2+ H3.3K27M DIFFUSE MIDLINE GLIOMAS (DMG)

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii366-iii366
Author(s):  
Sabine Mueller ◽  
Jared Taitt ◽  
Erin Bonner ◽  
Rishi Lulla ◽  
Stewart Goldman ◽  
...  
Keyword(s):  
Immune Cell ◽  
Peptide Vaccine ◽  
Median Number ◽  
Diffuse Intrinsic Pontine Glioma ◽  
Immune Monitoring ◽  
Effector Memory ◽  
Newly Diagnosed ◽  
High Throughput Analysis ◽  
Peripheral Blood Mononuclear ◽  
Specific Peptide

Abstract OBJECTIVE To assess safety and efficacy within a multi-center trial the H3.3K27M specific peptide vaccine with poly-ICLC in HLA-A02.01+ patients diagnosed with H3.3K27M+ DMGs. METHODS After focal radiation therapy, participants 3–21 years of age were enrolled into two strata. Stratum A: newly diagnosed diffuse intrinsic pontine glioma (DIPG); Stratum B: other DMGs. H3.3K27M vaccine was administered with poly-ICLC IM every 3 weeks for 8 doses followed by every 6 weeks for a total of 96 weeks. Immuno-monitoring of peripheral blood mononuclear cell (PBMC) and imaging occurred every 3 months. Modified iRANO criteria were applied. PBMC samples were evaluated by mass cytometry. RESULTS From November 2016 until March 2019, 19 eligible patients (median age 11, range 5–17 yrs; 53 % female) were enrolled in Stratum A and 10 eligible patients (median age 13, range 7–18 yrs; 60 % female) in Stratum B. Treatment was well tolerated (7 grade 3; 0 grade 4 related toxicities). Median number of vaccines per participant was 6 (range 1–11). Overall survival at 12 months was 40% (95% CI 22–73%) for Stratum A and 39% (95% CI 16–93%) for Stratum B. Among the 19 subjects with longitudinal immune cell assessments, 7 exhibited an expansion of K27M-reactive CD8+ effector memory T-cells correlating with prolonged survival (p=0.028). CONCLUSION H3.3K27M specific vaccine in combination with poly-ICLC is well tolerated. CyTOF-based immune monitoring of PBMCs facilitates sensitive high-throughput analysis. Further investigation is warranted to determine if this may be predictive of clinical outcomes.

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 Targeted Tumor Therapy Remixed—An Update on the Use of Small-Molecule Drugs in Combination Therapies

Cancers ◽  
2018 ◽  
Vol 10 (6) ◽  
pp. 155 ◽  
Author(s):  
Martina Gatzka
Keyword(s):  
Clinical Trials ◽  
Targeted Therapy ◽  
Small Molecule ◽  
Immune Cell ◽  
Checkpoint Inhibitors ◽  
Tumor Therapy ◽  
Metabolic Reprogramming ◽  
Comprehensive Overview ◽  
Small Molecule Drugs ◽  
Mutational Status

Over the last decade, the treatment of tumor patients has been revolutionized by the highly successful introduction of novel targeted therapies, in particular small-molecule kinase inhibitors and monoclonal antibodies, as well as by immunotherapies. Depending on the mutational status, BRAF and MEK inhibitor combinations or immune checkpoint inhibitors are current first-line treatments for metastatic melanoma. However, despite great improvements of survival rates limitations due to tumor heterogeneity, primary and acquired therapy resistance, immune evasion, and economical considerations will need to be overcome. Accordingly, ongoing clinical trials explore the individualized use of small-molecule drugs in new targeted therapy combinations based on patient parameters and tumor biopsies. With focus on melanoma therapy this review aims at providing a comprehensive overview of such novel alternative and combinational therapy strategies currently emerging from basic research. The molecular principles and drug classes that may hold promise for improved tumor therapy combination regimens including kinase inhibition, induction of apoptosis, DNA-damage response inhibition, epigenetic reprogramming, telomerase inhibition, redox modulation, metabolic reprogramming, proteasome inhibition, cancer stem cell transdifferentiation, immune cell signaling modulation, and others, are explained in brief. In addition, relevant targeted therapy combinations in current clinical trials and individualized treatment strategies are highlighted.

scholarly journals Identification of death-associated protein-like 1 (DAPL1) as a novel prognostic biomarker of breast cancer

2020 ◽  
Author(s):  
Haichao Zhang ◽  
Xin Qu ◽  
Lu Han
Keyword(s):  
Breast Cancer ◽  
Dna Repair ◽  
Survival Data ◽  
Immune Cell ◽  
Excision Repair ◽  
Analysis Data ◽  
Clinical Prognosis ◽  
Free Survival ◽  
Normal Tissues ◽  
M1 Macrophage

Abstract Background: It is meaningful to identify the potential clinical prognosis-associated oncogenes for cases with breast cancer, considering the complicated pathogenesis of breast cancer.Methods: We first utilized the bioinformatics approach to investigate the role of the DAPL1 (death-associated protein-like 1) in breast cancer, based on the available datasets of TCGA and GEO.Results: DAPL1 is lowly expressed in breast cancer tissues compared with the normal tissues. For the breast cancer cases of the TCGA-BRCA cohort, we observed a correlation between lowly expressed DAPL1 gene and poor clinical prognosis of overall survival ( P =0.0028). Based on the survival data of GEO, the low DAPL1 expression was associated with a poor prognosis of distant metastasis free survival ( P =0.0023), and relapse free survival ( P =0.0065). DAPL1 expression was linked to the mutation status or copy number variation o f several genes, such as MAP3K1 , NUP98 , and CCDC59. The infiltration level of immune cells (e.g., M1 macrophage, Follicular B helper T cells, etc.) may be involved in the etiology of breast cancer. Based on the DAPL1 -correlated genes, GSEA, GO, and KEGG analysis data indicated the association between DAPL1 expression and a series of biological issues, such as DNA packaging complex, DNA repair complex, nucleotide excision repair, ubiquitin-like protein binding, and ubiquitin proteasome pathway. We also identified several DAPL1 -associated phosphorylation kinases, such as MAPK, PRKACA, and GSK3B.Conclusions: DAPL1 gene is first identified as a prognosis biomarker of breast cancer, and the underlying molecular mechanism involves protein phosphorylation, immune cell infiltration, and DNA repair or protein ubiquitin-associated cellular pathways.

scholarly journals 543 Sensitive quantification and tracking of the active components of a Clonal Neoantigen T cell (cNeT) therapy: From manufacture to peripheral circulation

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A572-A572
Author(s):  
Samra Turajlic ◽  
Mariam Jamal-Hanjani ◽  
Andrew Furness ◽  
Ruth Plummer ◽  
Judith Cave ◽  
...  
Keyword(s):  
Clinical Trials ◽  
T Cells ◽  
Active Sites ◽  
Active Component ◽  
Ex Vivo ◽  
Immune Monitoring ◽  
Patient Specific ◽  
Active Components ◽  
Link Type ◽  
The Uk

BackgroundEx-vivo expanded tumour infiltrating lymphocytes (TIL) show promise in delivering durable responses among several solid tumour indications. However, characterising, quantifying and tracking the active component of TIL therapy remains challenging as the expansion process does not distinguish between tumour reactive and bystander T-cells. Achilles Therapeutics has developed ATL001, a patient-specific TIL-based product, manufactured using the VELOS™ process that specifically targets clonal neoantigens present in all tumour cells within a patient. Two Phase I/IIa clinical trials of ATL001 are ongoing in patients with advanced Non-Small Cell Lung Cancer, CHIRON (NCT04032847), and metastatic or recurrent melanoma, THETIS (NCT03997474). Extensive product characterisation and immune-monitoring are performed through Achilles’ manufacturing and translational science programme. This enables precise quantification and characterisation of the active component of this therapy – Clonal Neoantigen T cells (cNeT) – during manufacture and following patient administration, offering unique insight into the mechanism of action of ATL001 and aiding the development of next generation processes.MethodsATL001 was manufactured using procured tumour and matched whole blood from 8 patients enrolled in the THETIS (n=5) and CHIRON (n=3) clinical trials. Following administration of ATL001, peripheral blood samples were collected up to week 6. The active component of the product was detected via re-stimulation with clonal neoantigen peptide pools and evaluation of IFN-γ and/or TNF-α production. Deconvolution of individual reactivities was achieved via ELISPOT assays. Immune reconstitution was evaluated by flow cytometry. cNeT expansion was evaluated by restimulation of isolated PBMCs with peptide pools and individual peptide reactivities (ELISPOT).ResultsThe median age was 57 (range 30 – 71) and 6/8 patients were male. The median number of previous lines of systemic anti-cancer treatment at the time of ATL001 dosing was 2.5 (range 1 – 5). Proportion of cNeT in manufactured products ranged from 0.20% - 77.43% (mean 26.78%) and unique single peptide reactivities were observed in 7 of 8 products (range 0 – 28, mean 8.6). Post-dosing, cNeTs were detected in 5/8 patients and cNeT expansion was observed in 3/5 patients.ConclusionsThese data underscore our ability to sensitively detect, quantify and track the patient-specific cNeT component of ATL001 – during manufacture and post dosing. As the dataset matures, these metrics of detection and expansion will be correlated with product, clinical and genomic characteristics to determine variables associated with peripheral cNeT dynamics and clinical response.ReferencesNCT04032847, NCT03997474Ethics ApprovalThe first 8 patients described have all been located within the UK and both trials (CHIRON and THETIS) have been approved by the UK MHRA (among other international bodies, e.g FDA). Additionally, these trials have been approved by local ethics boards at active sites within the UK. Patient‘s are fully informed by provided materials and investigators prior to consenting to enrol into either ATL001 trial.

Sign in / Sign up

Export Citation Format

Share Document