198 research outputs found
Tumor derived Microvesicles enhance cross-processing ability of clinical grade Dendritic Cells
Tumor cells release extracellular microvesicles (MVs) in the microenvironment to deliver biological signals to neighbouring cells as well as to cells in distant tissues.
Tumor-derived MVs appear to play contradictory role promoting both immunosuppression and tumor growth and both evoking tumor specific immune response. Recent evidences indicate that tumor-derived MVs can positively impact Dendritic Cells (DCs) immunogenicity by reprogramming DC antigen processing machinery and intracellular signaling pathways, thus promoting anti-tumor response.
DCs are considered pivot cells of the immune system due to their exclusive ability to coordinate the innate and acquired immune responses, cross-present exogenous antigens and prime naïve T cells. DCs are required for the induction and maintenance of long-lasting anti-tumor immunity and their exploitation has been extensively investigated for the design of anti-tumor vaccines. However, the clinical grade culture conditions that are required to generate DCs for therapeutic use can strongly affect their functions.
Here, we investigated the immunomodulatory impact of MVs carrying the MUC1 tumor glycoantigen (MVsMUC1) as immunogen formulation on clinical grade DCs grown in X-VIVO 15 (X-DCs). Results indicated that X-DCs displayed reduced performance of the antigen processing machinery in term of diminished phagocytosis and acidification of the phagosomal compartment suggesting an altered immunogenicity of clinical grade DCs. Pulsing DCs with MVsMUC1 restored phagosomal alkalinization, triggering ROS increase. This was not observed when a soluble MUC1 protein was employed (rMUC1). Concurrently, MVsMUC1 internalization by X-DCs allowed MUC1 cross-processing. Most importantly, MVsMUC1 pulsed DCs activated IFNγ response mediated by MUC1 specific CD8+ T cells. These results strongly support the employment of tumor-derived MVs as immunogen platforms for the implementation of DC-based vaccine
Triple peptide vaccination as consolidation treatment in women affected by ovarian and breast cancer: clinical and immunological data of a phase I/II clinical trial
Vaccination with priming and expansion of tumour
reacting T cells is an important therapeutic option to be used
in combination with novel checkpoint inhibitors to increase
the specificity of the T cell infiltrate and the efficacy of the
treatment. In this phase I/II study, 14 high-risk disease-free
ovarian (OC) and breast cancer (BC) patients after completion
of standard therapies were vaccinated with MUC1, ErbB2
and carcinoembryonic antigen (CEA) HLA-A2+-restricted
peptides and Montanide. Patients were subjected to 6 doses
of vaccine every two weeks and a recall dose after 3 months.
ECOG grade 2 toxicity was observed at the injection site. Eight
out of 14 patients showed specific CD8+ T cells to at least one
antigen. None of 4 patients vaccinated for compassionate use
showed a CD8 activation. An OC patient who suffered from
a lymph nodal recurrence, showed specific anti-ErbB2 CD8+
T cells in the bulky aortic lymph nodes suggesting homingof the activated T cells. Results confirm that peptide vaccination
strategy is feasible, safe and well tolerated. In particular
OC patients appear to show a higher response rate compared
to BC patients. Vaccination generates a long-lasting immune
response, which is strongly enhanced by recall administrations.
The clinical outcome of patients enrolled in the trial
appears favourable, having registered no deceased patients
with a minimum follow-up of 8 years. These promising data,
in line with the results of similar studies, the high compliance
of patients observed and the favourable toxicity profile, support
future trials of peptide vaccination in clinically disease-free
patients who have completed standard treatments
Tumor-derived microvesicles modulate antigen cross-processing via reactive oxygen species-mediated alkalinization of phagosomal compartment in dendritic cells
Dendritic cells (DCs) are the only antigen-presenting cells able to prime naïve T cells and
cross-prime antigen-specific CD8+ T cells. Their functionality is a requirement for the
induction and maintenance of long-lasting cancer immunity. Albeit intensively investigated,
the in vivo mechanisms underlying efficient antigen cross-processing and presentation
are not fully understood. Several pieces of evidence indicate that antigen transfer to DCs
mediated by microvesicles (MVs) enhances antigen immunogenicity. This mechanism
is also relevant for cross-presentation of those tumor-associated glycoproteins such as
MUC1 that are blocked in HLA class II compartment when internalized by DCs as soluble
molecules. Here, we present pieces of evidence that the internalization of tumor-derived
MVs modulates antigen-processing machinery of DCs. Employing MVs derived from
ovarian cancer ascites fluid and established tumor cell lines, we show that MV uptake
modifies DC phagosomal microenvironment, triggering reactive oxygen species (ROS)
accumulation and early alkalinization. Indeed, tumor MVs carry radical species and the
MV uptake by DCs counteracts the chemically mediated acidification of the phagosomal
compartment. Further pieces of evidence suggest that efficacious antigen cross-priming
of the MUC1 antigen carried by the tumor MVs results from the early signaling induced by
MV internalization and the function of the antigen-processing machinery of DCs. These
results strongly support the hypothesis that tumor-derived MVs impact antigen immunogenicity
by tuning the antigen-processing machinery of DCs, besides being carrier of
tumor antigens. Furthermore, these findings have important implications for the exploitation
of MVs as antigenic cell-free immunogen for DC-based therapeutic strategies
Monoclonal Antibodies in Gynecological Cancer: A Critical Point of View
During the last decades, several improvements in treating gynecological malignancies have been achieved. In particular, target therapies, mostly monoclonal antibodies, have emerged as an attractive option for the treatment of these malignancies. In fact, various molecular-targeted agents have been developed for a variety of malignancies with the objective to interfere with a precise tumor associated receptor, essential for cancer cell survival or proliferation, blocking its function, of the cancer cells. Alternatively, monoclonal antibodies have been developed to block immune suppression or enhance functions of immune effector cells. So far, several monoclonal antibodies have been tested for clinical efficacy for the treatment of gynecological cancers. Antibodies against Vascular Endothelial Growth Factor (VEGF) and Epidermal Growth Factor Receptor (EGFR) have been used in different neoplasms such as ovarian and cervical cancer. Catumazumab, a bivalent antibody against CD3 and EpCAM, is effective in the treatment of neoplastic ascites. Other antibodies are peculiar for specific cancer-associated antigen such as Oregovomab against CA125 or Farletuzumab against the folate receptor. Here we describe the preclinical and clinical experience gained up to now with monoclonal antibodies in tumors of the female genital tract and trace future therapeutic and research venues
Tumor associated MUC1 carried by microvesicles is cross-processed by dendritic cells generating CD8+ T cell response
IgM-Rheumatoid factor confers primary resistance to anti-PD-1 immunotherapies in NSCLC patients by reducing CD137 + T-cells
Background: ICIs have strongly improved the outcome of NSCLC patients. However, primary and secondary resistance occur during treatment in most of the patients, with several of them developing fast progressions. Autoantibodies can be related with a dysfunctional immune system, although their association with immune-based anti-cancer therapies has never been investigated. Moreover, so far no reliable predictive factor is currently available to aid in treatment selection. CD137+T-cells are largely known to be the anti-tumor activated effector cells, but they have never been associated with the response to immunotherapies.
Methods: Forty-two patients with metastatic NSCLC receiving anti-PD-1 ICIs at Sant'Andrea Hospital and Policlinico Umberto I, from June 2016 to September 2018 were enrolled. Circulating levels of IgM-Rheumatoid Factor were evaluated at baseline and correlated with patients clinical response following the anti-PD-1 treatment. IgM-RF interaction and effect on T-cells in vivo and in vitro were investigated.
Findings: IgM-RF in NSCLC patient sera strongly predicted the development of early progression to ICIs. Also, a significant reduction of progression-free survival rate in anti-PD-1 treated patients could be identified when patients were stratified based on IgM-RF positivity and titers. IgM-RF bound preferentially circulating naïve and central memory T-cells and a significant reduction of CD137+ anti-tumor T effector cells was found in IgM-RF positive patients. In addition, a higher percentage of CD137+T-cells in peripheral blood of NSCLC patients at baseline resulted as a strong independent prognostic factor for a better outcome in terms of PFS and OS after the anti-PD-1 treatment. Furthermore, T-cells exposed to IgM-RF showed a robust defect in their migratory ability in response to CCL19 chemokine.
Interpretation: In this study we showed that serum IgM-RF can be regarded as predictive factor for the development of early progression and prognostic factor of a reduced progression-free survival and overall-survival in anti-PD-1 treated NSCLC patients. The ability of IgM-RF to bind naïve and central memory T-cells and impair their migration could make account for the reduction of the tumor-reactive CD137+ T-cells population that may cause a non-effectiveness of these T-cells targeting drugs
A network approach to define the predictive role of immune profile on tumor response and toxicity of anti PD-1 single agent immunotherapy in patients with solid tumors
Background: The immune profile of each patient could be considered as a portrait of the fitness of his/her own immune system. The predictive role of the immune profile in immune-related toxicities (irAEs) development and tumour response to treatment was investigated. Methods: A prospective, multicenter study evaluating, through a multiplex assay, the soluble immune profile at the baseline of 53 patients with advanced cancer, treated with immunotherapy as single agent was performed. Four connectivity heat maps and networks were obtained by calculating the Spearman correlation coefficients for each group: responder patients who developed cumulative toxicity (R-T), responders who did not develop cumulative toxicity (R-NT), non-responders who developed cumulative toxicity (NR-T), non-responders who did not develop cumulative toxicity (NR-NT). Results: A statistically significant up-regulation of IL-17A, sCTLA4, sCD80, I-CAM-1, sP-Selectin and sEselectin in NR-T was detected. A clear loss of connectivity of most of the soluble immune checkpoints and cytokines characterized the immune profile of patients with toxicity, while an inversion of the correlation for ICAM-1 and sP-selectin was observed in NR-T. Four connectivity networks were built for each group. The highest number of connections characterized the NR-T. Conclusions: A connectivity network of immune dysregulation was defined for each subgroup of patients, regardless of tumor type. In patients with the worst prognosis (NR-T) the peculiar connectivity model could facilitate their early and timely identification, as well as the design of a personalized treatment approach to improve outcomes or prevent irAEs
Exploratory pilot study of circulating biomarkers in metastatic renal cell carcinoma
With the introduction of immune checkpoint inhibitors (ICIs) and next-generation vascular endothelial growth factor receptor–tyrosine kinase inhibitors (VEGFR–TKIs), the survival of patients with advanced renal cell carcinoma (RCC) has improved remarkably. However, not all patients have benefited from treatments, and to date, there are still no validated biomarkers that can be included in the therapeutic algorithm. Thus, the identification of predictive biomarkers is necessary to increase the number of responsive patients and to understand the underlying immunity. The clinical outcome of RCC patients is, in fact, associated with immune response. In this exploratory pilot study, we assessed the immune effect of TKI therapy in order to evaluate the immune status of metastatic renal cell carcinoma (mRCC) patients so that we could define a combination of immunological biomarkers relevant to improving patient outcomes. We profiled the circulating levels in 20 mRCC patients of exhausted/activated/regulatory T cell subsets through flow cytometry and of 14 immune checkpoint-related proteins and 20 inflammation cytokines/chemokines using multiplex Luminex assay, both at baseline and during TKI therapy. We identified the CD3+CD8+CD137+ and CD3+CD137+PD1+ T cell populations, as well as seven soluble immune molecules (i.e., IFNγ, sPDL2, sHVEM, sPD1, sGITR, sPDL1, and sCTLA4) associated with the clinical responses of mRCC patients, either modulated by TKI therapy or not. These results suggest an immunological profile of mRCC patients, which will help to improve clinical decision-making for RCC patients in terms of the best combination of strategies, as well as the optimal timing and therapeutic sequence
CD137+ and regulatory T cells as independent prognostic factors of survival in advanced non-oncogene addicted NSCLC patients treated with immunotherapy as first-line
Background: Immune checkpoint inhibitors (ICIs), administered alone or combined with chemotherapy, are the standard of care in advanced non-oncogene addicted Non-Small Cell Lung Cancer (NSCLC). Despite these treatments' success, most long-term survival benefit is restricted to approximately 20% of patients, highlighting the need to identify novel biomarkers to optimize treatment strategies. In several solid tumors, immune soluble factors, the activatory CD137+Tcells, and the immunosuppressive cell subsets Tregs and MDSCs (PMN(Lox1+)-MDSC and M-MDSCs) correlated with responses to ICIs and clinical outcomes thus becoming appealing predictive and prognostic factors. This study investigated the role of distinct CD137+Tcell subsets, Tregs, MDSCs, and immune-soluble factors in NSCLC patients as possible biomarkers.
Methods: The levels of Tcells, MDSCs and soluble factors were evaluated in 89 metastatic NSCLC patients who underwent ICIs as first- or second-line treatment. Tcell analysis was performed by cytoflurimetry evaluating Tregs and different CD137+Tcell subsets also combined with CD3+, CD8+, PD1+, and Ki67+markers. Circulating cytokines and immune checkpoints were also evaluated by Luminex analysis. All these parameters were correlated with several clinical factors (age, sex, smoking status, PS and TPS), response to therapy, OS, and PFS. The analyses were conducted in the overall population and in patients treated with ICIs as first-line (naïve patients).
Results: In both groups of patients, high levels of circulating CD137+ and CD137+PD1+T cells (total, CD4 and CD8) and the soluble factor LAG3 positively correlated with response to therapy. In naïve patients, PMN(Lox1+)-MDSCs negatively correlated with clinical response, and a high percentage of Treg was associated with favorable survival. Moreover, the balance between Treg/CD137+Tcells or PMN(Lox1+)-MDSC/CD137+Tcells was higher in non-responding patients and was associated with poor survival. CD137+Tcells and Tregs resulted as two positive independent prognostic factors.
Conclusion: High levels of CD137+, CD137+PD1+Tcells and sLAG3 could predict the response to ICIs in NSCLC patients independently by previous therapy. Combining the evaluation of CD137+Tcells and Treg also as Treg/CD137+Tcells ratio it is possible to identify patients with longer survival in naïve patients
Exploring Genomic Biomarkers for Pembrolizumab Response: A Real-World Approach and Patient Similarity Network Analysis Reveal DNA Response and Repair Gene Mutations as a Signature
Purpose: Single-agent immune checkpoint inhibitor (IO) therapy is the standard for non-oncogene-addicted advanced non-small cell lung cancer (aNSCLC) with PD-L1 tumor proportion score ≥ 50%. Smoking-induced harm generates high tumor mutation burden (H-TMB) in smoking patients (S-pts), while never-smoking patients (NS-pts) typically have low TMB (L-TMB) and are unresponsive to IO. However, the molecular characterization of NS-pts with H-TMB remains unclear. Experimental design: Clinical data of 142 aNSCLC patients with PD-L1 ≥ 50% treated with first line pembrolizumab were retrospectively collected. Next-generation sequencing was performed using the FoundationOne®CDx assay to correlate genomic alterations with clinical characteristics and response outcomes. Detected mutations were classified into eleven main pathways and enrichment analysis identified patient subgroups based on mutated pathways. Additionally, a patient similarity network was constructed to analyze molecular characterization. Results were validated using data from 853 aNSCLC patients in POPLAR and OAK trials. Results: Among the patients, S-pts had higher TMB than NS-pts. Interestingly, 11 (8%) NS-pts exhibited H-TMB and were enriched in β-catenin/Wnt and DDR pathway mutations. DDR pathway mutations were confirmed to be enriched in NS-pts with H-TMB using data from POPLAR and OAK trials. In the real-world cohort, the NS/H-TMB subgroup with DDR pathway mutations demonstrated improved IO outcome. Patient similarity network analysis confirmed the clustering of NS/H-TMB patients with DDR mutations and their association with improved overall survival in both the real-world cohort and the trials. Conclusions: The DDR signature has a potential role as an additional generator of H-TMB in NS-pts. This subgroup of IO-responsive NS-pts may have better prognosis. Our findings suggest that DDR-based mutational profiling may help identify NS-pts who could benefit from IO therapy
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