Therapeutic checkpoint targets: Evaluation of co-expression profiles in individual tumor and immune cells in the tumor microenvironment of FFPE tissue.

2018 ◽  
Vol 36 (5_suppl) ◽  
pp. 176-176
Author(s):  
Annelies Laeremans ◽  
Na Li ◽  
Jeff Kim ◽  
Xiao-Jun Ma ◽  
Emily Park
Keyword(s):  
Tumor Microenvironment ◽  
Single Cell ◽  
Immune Cells ◽  
Immune Checkpoint ◽  
Checkpoint Inhibitors ◽  
Expression Profiles ◽  
Predictive Biomarkers ◽  
Immune Checkpoint Blockade ◽  
Durable Response

176 Background: Interactions between tumor and immune cells in the tumor microenvironment (TME) play a key role in tumor progression and treatment response with accumulating evidence indicating a crucial role for tumor infiltrating immune cells. Although infiltrating cytotoxic T lymphocytes (CTLs) have been correlated with improved clinical outcome, they are ineffective in eradicating tumors due to their inhibition by immune checkpoint molecules. Immune checkpoint inhibitors have demonstrated therapeutic efficacy and durable response for several tumor types including non-small cell lung cancer (NSCLC). However, the majority of patients are resistant or relapse after initial response. Characterizing the TME for checkpoint expression with single-cell and spatial resolution can provide critical insight into new immunotherapeutic strategies and identify new predictive biomarkers for stratifying and identifying patients most likely to benefit from immunotherapy including PD-1/PD-L1 immune checkpoint blockade. Methods: Using RNAscope in situ hybridization, we evaluated in situ co-expression profiles of therapeutic checkpoint targets at single-cell level in the TME of 56 archived NSCLC FFPE tissues. Results: Checkpoint molecules including PD1, PD-L1, PD-L2, TIM3, LAG3, CTLA-4 and GITR were visualized in a highly specific and sensitive manner in individual cells within tissue morphological context. Multiple checkpoint molecules were detected in the same immune environment, especially in highly inflamed tumors. In addition to PD-L1, tumor cell-intrinsic expression of PD1, TIM3, LAG3, and PD-L2 was observed in a subset of samples. Furthermore, co-expression of therapeutic checkpoint targets including PD1, LAG3, and TIM3 was observed in infiltrating immune cells and tumor cells. Conclusions: Single-cell co-expression profiles of checkpoint molecules could shed light on how cancer cells evade the host immune surveillance and develop resistance against checkpoint blockades. Also, they could reveal valuable insights into combinatorial therapies for checkpoint markers co-expressed by the patient’s immune cells in the TME.

scholarly journals From Oncogenic Signaling Pathways to Single-Cell Sequencing of Immune Cells: Changing the Landscape of Cancer Immunotherapy

Molecules ◽  
2021 ◽  
Vol 26 (8) ◽  
pp. 2278
Author(s):  
Afshin Derakhshani ◽  
Zeinab Rostami ◽  
Hossein Safarpour ◽  
Mahdi Abdoli Shadbad ◽  
Niloufar Sadat Nourbakhsh ◽  
...  
Keyword(s):  
Single Cell ◽  
Signaling Pathways ◽  
Immune Cells ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Cancer Development ◽  
Immune Checkpoints ◽  
Single Cell Sequencing ◽  
Increased Risk

Over the past decade, there have been remarkable advances in understanding the signaling pathways involved in cancer development. It is well-established that cancer is caused by the dysregulation of cellular pathways involved in proliferation, cell cycle, apoptosis, cell metabolism, migration, cell polarity, and differentiation. Besides, growing evidence indicates that extracellular matrix signaling, cell surface proteoglycans, and angiogenesis can contribute to cancer development. Given the genetic instability and vast intra-tumoral heterogeneity revealed by the single-cell sequencing of tumoral cells, the current approaches cannot eliminate the mutating cancer cells. Besides, the polyclonal expansion of tumor-infiltrated lymphocytes in response to tumoral neoantigens cannot elicit anti-tumoral immune responses due to the immunosuppressive tumor microenvironment. Nevertheless, the data from the single-cell sequencing of immune cells can provide valuable insights regarding the expression of inhibitory immune checkpoints/related signaling factors in immune cells, which can be used to select immune checkpoint inhibitors and adjust their dosage. Indeed, the integration of the data obtained from the single-cell sequencing of immune cells with immune checkpoint inhibitors can increase the response rate of immune checkpoint inhibitors, decrease the immune-related adverse events, and facilitate tumoral cell elimination. This study aims to review key pathways involved in tumor development and shed light on single-cell sequencing. It also intends to address the shortcomings of immune checkpoint inhibitors, i.e., their varied response rates among cancer patients and increased risk of autoimmunity development, via applying the data from the single-cell sequencing of immune cells.

scholarly journals A TLR4 agonist improves immune checkpoint blockade treatment by increasing the ratio of effector to regulatory cells within the tumor microenvironment

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
A. Farias ◽  
A. Soto ◽  
F. Puttur ◽  
C. J. Goldin ◽  
S. Sosa ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Tumor Growth ◽  
Therapeutic Effect ◽  
Immune Cells ◽  
Immune Checkpoint ◽  
Combined Treatment ◽  
Immune Checkpoint Blockade ◽  
Checkpoint Blockade ◽  
Regulatory Cells ◽  
Ifn Γ

AbstractBrucella lumazine synthase (BLS) is a homodecameric protein that activates dendritic cells via toll like receptor 4, inducing the secretion of pro-inflammatory cytokines and chemokines. We have previously shown that BLS has a therapeutic effect in B16 melanoma-bearing mice only when administered at early stages of tumor growth. In this work, we study the mechanisms underlying the therapeutic effect of BLS, by analyzing the tumor microenvironment. Administration of BLS at early stages of tumor growth induces high levels of serum IFN-γ, as well as an increment of hematopoietic immune cells within the tumor. Moreover, BLS-treatment increases the ratio of effector to regulatory cells. However, all treated mice eventually succumb to the tumors. Therefore, we combined BLS administration with anti-PD-1 treatment. Combined treatment increases the outcome of both monotherapies. In conclusion, we show that the absence of the therapeutic effect at late stages of tumor growth correlates with low levels of serum IFN-γ and lower infiltration of immune cells in the tumor, both of which are essential to delay tumor growth. Furthermore, the combined treatment of BLS and PD-1 blockade shows that BLS could be exploited as an essential immunomodulator in combination therapy with an immune checkpoint blockade to treat skin cancer.

scholarly journals Emerging Trends for Radio-Immunotherapy in Rectal Cancer

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1374
Author(s):  
Claudia Corrò ◽  
Valérie Dutoit ◽  
Thibaud Koessler
Keyword(s):  
Rectal Cancer ◽  
Tumor Microenvironment ◽  
Immune Checkpoint ◽  
Checkpoint Inhibitors ◽  
Predictive Biomarkers ◽  
Tumor Infiltrating Lymphocytes ◽  
T Cell Infiltration ◽  
Emerging Trends ◽  
Tumor Mutational Burden ◽  
Microsatellite Stability

Rectal cancer is a heterogeneous disease at the genetic and molecular levels, both aspects having major repercussions on the tumor immune contexture. Whilst microsatellite status and tumor mutational load have been associated with response to immunotherapy, presence of tumor-infiltrating lymphocytes is one of the most powerful prognostic and predictive biomarkers. Yet, the majority of rectal cancers are characterized by microsatellite stability, low tumor mutational burden and poor T cell infiltration. Consequently, these tumors do not respond to immunotherapy and treatment largely relies on radiotherapy alone or in combination with chemotherapy followed by radical surgery. Importantly, pre-clinical and clinical studies suggest that radiotherapy can induce a complete reprograming of the tumor microenvironment, potentially sensitizing it for immune checkpoint inhibition. Nonetheless, growing evidence suggest that this synergistic effect strongly depends on radiotherapy dosing, fractionation and timing. Despite ongoing work, information about the radiotherapy regimen required to yield optimal clinical outcome when combined to checkpoint blockade remains largely unavailable. In this review, we describe the molecular and immune heterogeneity of rectal cancer and outline its prognostic value. In addition, we discuss the effect of radiotherapy on the tumor microenvironment, focusing on the mechanisms and benefits of its combination with immune checkpoint inhibitors.

scholarly journals P02.10 FocuSCOPE: a single cell, multi-omics solution to simultaneously analyze tumor variants and microenvironment

2021 ◽  
Vol 9 (Suppl 1) ◽  
pp. A12.1-A12
Author(s):  
Y Arjmand Abbassi ◽  
N Fang ◽  
W Zhu ◽  
Y Zhou ◽  
Y Chen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Tumor Microenvironment ◽  
Single Cell ◽  
High Throughput ◽  
Immune Cells ◽  
Genetic Variants ◽  
Expression Profiles ◽  
Single Cells ◽  
Gene Expression Profiles ◽  
Single Cell Sequencing

Recent advances of high-throughput single cell sequencing technologies have greatly improved our understanding of the complex biological systems. Heterogeneous samples such as tumor tissues commonly harbor cancer cell-specific genetic variants and gene expression profiles, both of which have been shown to be related to the mechanisms of disease development, progression, and responses to treatment. Furthermore, stromal and immune cells within tumor microenvironment interact with cancer cells to play important roles in tumor responses to systematic therapy such as immunotherapy or cell therapy. However, most current high-throughput single cell sequencing methods detect only gene expression levels or epigenetics events such as chromatin conformation. The information on important genetic variants including mutation or fusion is not captured. To better understand the mechanisms of tumor responses to systematic therapy, it is essential to decipher the connection between genotype and gene expression patterns of both tumor cells and cells in the tumor microenvironment. We developed FocuSCOPE, a high-throughput multi-omics sequencing solution that can detect both genetic variants and transcriptome from same single cells. FocuSCOPE has been used to successfully perform single cell analysis of both gene expression profiles and point mutations, fusion genes, or intracellular viral sequences from thousands of cells simultaneously, delivering comprehensive insights of tumor and immune cells in tumor microenvironment at single cell resolution.Disclosure InformationY. Arjmand Abbassi: None. N. Fang: None. W. Zhu: None. Y. Zhou: None. Y. Chen: None. U. Deutsch: None.

scholarly journals Biomarkers for Predicting Response to Immunotherapy with Immune Checkpoint Inhibitors in Cancer Patients

2019 ◽  
Vol 65 (10) ◽  
pp. 1228-1238 ◽  
Author(s):  
Michael J Duffy ◽  
John Crown
Keyword(s):  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Predictive Biomarkers ◽  
Future Research ◽  
Specific Gene ◽  
Tumor Type ◽  
Clinical Use ◽  
Durable Response ◽  
Cancer Types

Abstract BACKGROUND Immunotherapy, especially the use of immune checkpoint inhibitors, has revolutionized the management of several different cancer types in recent years. However, for most types of cancer, only a minority of patients experience a durable response. Furthermore, administration of immunotherapy can result in serious adverse reactions. Thus, for the most efficient and effective use of immunotherapy, accurate predictive biomarkers that have undergone analytical and clinical validation are necessary. CONTENT Among the most widely investigated predictive biomarkers for immunotherapy are programmed death-ligand 1 (PD-L1), microsatellite instability/defective mismatch repair (MSI/dMMR), and tumor mutational burden (TMB). MSI/dMMR is approved for clinical use irrespective of the tumor type, whereas PD-L1 is approved only for use in certain cancer types (e.g., for predicting response to first-line pembrolizumab monotherapy in non-small cell lung cancer). Although not yet approved for clinical use, TMB has been shown to predict response to several different forms of immunotherapy and across multiple cancer types. Less widely investigated predictive biomarkers for immunotherapy include tumor-infiltrating CD8+ lymphocytes and specific gene signatures. Despite being widely investigated, assays for MSI/dMMR, PD-L1, and TMB lack standardization and are still evolving. An urgent focus of future research should be the optimization and standardization of method for determining these biomarkers. SUMMARY Biomarkers for predicting response to immunotherapy are paving the way for personalized treatment for patients with diverse cancer types. However, standardization of the available biomarker assays is an urgent requirement.

scholarly journals Applications of Single-Cell Omics to Dissect Tumor Microenvironment

2020 ◽  
Vol 11 ◽  
Author(s):  
Tingting Guo ◽  
Weimin Li ◽  
Xuyu Cai
Keyword(s):  
Tumor Microenvironment ◽  
Single Cell ◽  
Immune Cells ◽  
Immune Cell ◽  
Cell Types ◽  
Immune Checkpoint Blockade ◽  
Lineage Tracing ◽  
Great Success ◽  
Novel Technologies ◽  
Single Cell Sequencing

The recent technical and computational advances in single-cell sequencing technologies have significantly broaden our toolkit to study tumor microenvironment (TME) directly from human specimens. The TME is the complex and dynamic ecosystem composed of multiple cell types, including tumor cells, immune cells, stromal cells, endothelial cells, and other non-cellular components such as the extracellular matrix and secreted signaling molecules. The great success on immune checkpoint blockade therapy has highlighted the importance of TME on anti-tumor immunity and has made it a prime target for further immunotherapy strategies. Applications of single-cell transcriptomics on studying TME has yielded unprecedented resolution of the cellular and molecular complexity of the TME, accelerating our understanding of the heterogeneity, plasticity, and complex cross-interaction between different cell types within the TME. In this review, we discuss the recent advances by single-cell sequencing on understanding the diversity of TME and its functional impact on tumor progression and immunotherapy response driven by single-cell sequencing. We primarily focus on the major immune cell types infiltrated in the human TME, including T cells, dendritic cells, and macrophages. We further discuss the limitations of the existing methodologies and the prospects on future studies utilizing single-cell multi-omics technologies. Since immune cells undergo continuous activation and differentiation within the TME in response to various environmental cues, we highlight the importance of integrating multimodal datasets to enable retrospective lineage tracing and epigenetic profiling of the tumor infiltrating immune cells. These novel technologies enable better characterization of the developmental lineages and differentiation states that are critical for the understanding of the underlying mechanisms driving the functional diversity of immune cells within the TME. We envision that with the continued accumulation of single-cell omics datasets, single-cell sequencing will become an indispensable aspect of the immune-oncology experimental toolkit. It will continue to drive the scientific innovations in precision immunotherapy and will be ultimately adopted by routine clinical practice in the foreseeable future.

scholarly journals Sensitization to immune checkpoint blockade through activation of a STAT1/NK axis in the tumor microenvironment

2019 ◽  
Vol 11 (501) ◽  
pp. eaav7816 ◽  
Author(s):  
Rachael M. Zemek ◽  
Emma De Jong ◽  
Wee Loong Chin ◽  
Iona S. Schuster ◽  
Vanessa S. Fear ◽  
...  
Keyword(s):  
Gene Expression ◽  
Tumor Microenvironment ◽  
Nk Cells ◽  
Immune Checkpoint ◽  
Expression Profiles ◽  
Gene Expression Signature ◽  
Immune Checkpoint Blockade ◽  
Checkpoint Blockade ◽  
Poly I:C ◽  
Mouse Strains

Cancer immunotherapy using antibodies that target immune checkpoints has delivered outstanding results. However, responses only occur in a subset of patients, and it is not fully understood what biological processes determine an effective outcome. This lack of understanding hinders the development of rational combination treatments. We set out to define the pretreatment microenvironment associated with an effective outcome by using the fact that inbred mouse strains bearing monoclonal cancer cell line–derived tumors respond in a dichotomous manner to immune checkpoint blockade (ICB). We compared the cellular composition and gene expression profiles of responsive and nonresponsive tumors from mice before ICB and validated the findings in cohorts of patients with cancer treated with ICB antibodies. We found that responsive tumors were characterized by an inflammatory gene expression signature consistent with up-regulation of signal transducer and activator of transcription 1 (STAT1) and Toll-like receptor 3 (TLR3) signaling and down-regulation of interleukin-10 (IL-10) signaling. In addition, responsive tumors had more infiltrating-activated natural killer (NK) cells, which were necessary for response. Pretreatment of mice with large established tumors using the STAT1-activating cytokine interferon-γ (IFNγ), the TLR3 ligand poly(I:C), and an anti–IL-10 antibody sensitized tumors to ICB by attracting IFNγ-producing NK cells into the tumor, resulting in increased cure rates. Our results identify a pretreatment tumor microenvironment that predicts response to ICB, which can be therapeutically attained. These data suggest a biomarker-driven approach to patient management to establish whether a patient would benefit from treatment with sensitizing therapeutics before ICB.

Veristrat based stratification of responses to immune checkpoint blockade (ICB).

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e20512-e20512
Author(s):  
Paul R. Walker ◽  
Nitika Sharma ◽  
Chipman Robert Geoffrey Stroud ◽  
Mahvish Muzaffar ◽  
Cynthia R. Cherry ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Median Survival ◽  
Immune Checkpoint ◽  
Immune Surveillance ◽  
Predictive Biomarkers ◽  
Immune Checkpoint Blockade ◽  
Checkpoint Blockade ◽  
Clinicopathologic Characteristics ◽  
Metastatic Nsclc ◽  
Platinum Based Chemotherapy

e20512 Background: Veristrat (Biodesix, Boulder, CO) is a blood based proteomic assay that is dominated by inflammatory proteins and is prognostic and predictive in metastatic NSCLC after treatment with platinum based chemotherapy (Gregorc et al, Lancet 2014). Smoldering inflammation in the tumor microenvironment regulates and escalates cancer invasion, angiogenesis and immune surveillance escape (Balkwill and Mantovani, Lancet 2001). There is preclinical evidence to suggest that the tumor microenvironment can be altered with immunomodulatory interventions (Martino et al, 2016). While immune checkpoint blockade has shown durable benefit in metastatic NSCLC, the response rates still hover around 20%. As a result, identification of predictive biomarkers are of critical importance. The predictive value of the Veristrat assay with respect to ICB is poorly defined. Methods: At our institution, 83 pts with metastatic lung cancer pts were treated with nivolumab between 6/2015 to 12/2016. The following clinicopathologic characteristics were abstracted from medical records: tumor histology, Veristrat status, no. of doses of nivolumab, irAEs and overall survival. Results: Of the 83 pts, 65 pts were found to have NSCLC. Veristrat status was available for 17/65 of these pts. Nine pts were identified to have “Veristrat good” and seven pts were “Veristrat poor”. Median number of nivolumab doses was 4. Median survival for all patients was 30 weeks. Median survival was 20 weeks for “Veristrat poor” and 26 weeks for “Veristrat good”(p = 0.68). Grade 3-4 irAEs were noted in 5/9 patients with “Veristrat good” and 5/7 patients with “Veristrat poor”. Conclusions: “Veristrat poor” pts treated with ICB have a lower median survival as compared to “Veristrat good” pts. Our study did not meet statistically significant end point due to limited sample size. Further studies are needed to identify poorly immunogenic tumors and develop novel treatment approaches to optimize outcomes. [Table: see text]

scholarly journals Therapeutic Implications of Tumor Microenvironment in Lung Cancer: Focus on Immune Checkpoint Blockade

2022 ◽  
Vol 12 ◽  
Author(s):  
Carlo Genova ◽  
Chiara Dellepiane ◽  
Paolo Carrega ◽  
Sara Sommariva ◽  
Guido Ferlazzo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Tumor Microenvironment ◽  
Immune Checkpoint ◽  
Cytotoxic T Lymphocyte ◽  
Checkpoint Inhibitors ◽  
Suppressor Cells ◽  
Regulatory Elements ◽  
Immune Checkpoint Blockade ◽  
Therapeutic Implications ◽  
Investigational Agents

In the last decade, the treatment of non-small cell lung cancer (NSCLC) has been revolutionized by the introduction of immune checkpoint inhibitors (ICI) directed against programmed death protein 1 (PD-1) and its ligand (PD-L1), or cytotoxic T lymphocyte antigen 4 (CTLA-4). In spite of these improvements, some patients do not achieve any benefit from ICI, and inevitably develop resistance to therapy over time. Tumor microenvironment (TME) might influence response to immunotherapy due to its prominent role in the multiple interactions between neoplastic cells and the immune system. Studies investigating lung cancer from the perspective of TME pointed out a complex scenario where tumor angiogenesis, soluble factors, immune suppressive/regulatory elements and cells composing TME itself participate to tumor growth. In this review, we point out the current state of knowledge involving the relationship between tumor cells and the components of TME in NSCLC as well as their interactions with immunotherapy providing an update on novel predictors of benefit from currently employed ICI or new therapeutic targets of investigational agents. In first place, increasing evidence suggests that TME might represent a promising biomarker of sensitivity to ICI, based on the presence of immune-modulating cells, such as Treg, myeloid derived suppressor cells, and tumor associated macrophages, which are known to induce an immunosuppressive environment, poorly responsive to ICI. Consequently, multiple clinical studies have been designed to influence TME towards a pro-immunogenic state and subsequently improve the activity of ICI. Currently, the mostly employed approach relies on the association of “classic” ICI targeting PD-1/PD-L1 and novel agents directed on molecules, such as LAG-3 and TIM-3. To date, some trials have already shown promising results, while a multitude of prospective studies are ongoing, and their results might significantly influence the future approach to cancer immunotherapy.

Engineering nanoparticles to locally activate T cells in the tumor microenvironment

2019 ◽  
Vol 4 (37) ◽  
pp. eaau6584 ◽  
Author(s):  
Dangge Wang ◽  
Tingting Wang ◽  
Haijun Yu ◽  
Bing Feng ◽  
Lei Zhou ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Laser Irradiation ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Near Infrared ◽  
Checkpoint Inhibitors ◽  
Immunological Tolerance ◽  
Immune Checkpoint Blockade ◽  
Tumor Resistance ◽  
Nir Laser

Immunological tolerance of tumors is characterized by insufficient infiltration of cytotoxic T lymphocytes (CTLs) and immunosuppressive microenvironment of tumor. Tumor resistance to immune checkpoint inhibitors due to immunological tolerance is an ongoing challenge for current immune checkpoint blockade (ICB) therapy. Here, we report the development of tumor microenvironment–activatable anti-PDL1 antibody (αPDL1) nanoparticles for combination immunotherapy designed to overcome immunological tolerance of tumors. Combination of αPDL1 nanoparticle treatment with near-infrared (NIR) laser irradiation–triggered activation of photosensitizer indocyanine green induces the generation of reactive oxygen species, which promotes the intratumoral infiltration of CTLs and sensitizes the tumors to PDL1 blockade therapy. We showed that the combination of antibody nanoparticles and NIR laser irradiation effectively suppressed tumor growth and metastasis to the lung and lymph nodes in mouse models. The nanoplatform that uses the antibody nanoparticle alone both for immune stimulation and PDL1 inhibition could be readily adapted to other immune checkpoint inhibitors for improved ICB therapy.

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