scholarly journals Autophagic Markers in Chordomas: Immunohistochemical Analysis and Comparison with the Immune Microenvironment of Chordoma Tissues

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2169
Author(s):  
Georgia Karpathiou ◽  
Maroa Dridi ◽  
Lila Krebs-Drouot ◽  
François Vassal ◽  
Emmanuel Jouanneau ◽  
...  
Keyword(s):  
Tumor Cell ◽  
Immune Cells ◽  
Immune Cell ◽  
Positive Association ◽  
Immunohistochemical Analysis ◽  
Vascular Density ◽  
Immune Microenvironment ◽  
Significant Positive Association ◽  
Sequestosome 1 ◽  
Cell Expression

Chordomas are notably resistant to chemotherapy. One of the cytoprotective mechanisms implicated in chemoresistance is autophagy. There are indirect data that autophagy could be implicated in chordomas, but its presence has not been studied in chordoma tissues. Sixty-one (61) chordomas were immunohistochemically studied for autophagic markers and their expression was compared with the expression in notochords, clinicopathological data, as well as the tumor immune microenvironment. All chordomas strongly and diffusely expressed cytoplasmic p62 (sequestosome 1, SQSTM1/p62), whereas 16 (26.2%) tumors also showed nuclear p62 expression. LC3B (Microtubule-associated protein 1A/1B-light chain 3B) tumor cell expression was found in 44 (72.1%) tumors. Autophagy-related 16‑like 1 (ATG16L1) was also expressed by most tumors. All tumors expressed mannose-6-phosphate/insulin-like growth factor 2 receptor (M6PR/IGF2R). LC3B tumor cell expression was negatively associated with tumor size, while no other parameters, such as age, sex, localization, or survival, were associated with the immunohistochemical factors studied. LC3B immune cell expression showed a significant positive association with programmed death-ligand 1 (PD-L1)+ immune cells and with a higher vascular density. ATG16L1 expression was also positively associated with higher vascular density. Notochords (n = 5) showed different immunostaining with a very weak LC3B and M6PR expression, and no p62 expression. In contrast to normal notochords, autophagic factors such as LC3B and ATG16L1 are often present in chordomas, associated with a strong and diffuse expression of p62, suggesting a blocked autophagic flow. Furthermore, PD-L1+ immune cells also express LC3B, suggesting the need for further investigations between autophagy and the immune microenvironment.

scholarly journals Identification of Biomarkers Related to Immune Cell Infiltration in Hepatocellular Carcinoma Using Gene Co-Expression Network

2021 ◽  
Vol 27 ◽  
Author(s):  
Wanbang Zhou ◽  
Yiyang Chen ◽  
Ruixing Luo ◽  
Zifan Li ◽  
Guanwei Jiang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Network Analysis ◽  
Tumor Progression ◽  
Protein Interactions ◽  
Immune Cells ◽  
Immune Cell ◽  
Immune Microenvironment ◽  
Hub Genes ◽  
Expression Levels ◽  
Immune Infiltration

Hepatocellular carcinoma (HCC) is a common cancer with poor prognosis. Due to the lack of effective biomarkers and its complex immune microenvironment, the effects of current HCC therapies are not ideal. In this study, we used the GSE57957 microarray data from Gene Expression Omnibus database to construct a co-expression network. The weighted gene co-expression network analysis and CIBERSORT algorithm, which quantifies cellular composition of immune cells, were used to identify modules related to immune cells. Four hub genes (EFTUD2, GAPDH, NOP56, PA2G4) were identified by co-expression network and protein-protein interactions network analysis. We examined these genes in TCGA database, and found that the four hub genes were highly expressed in tumor tissues in multiple HCC groups, and the expression levels were significantly correlated with patient survival time, pathological stage and tumor progression. On the other hand, methylation analysis showed that the up-regulation of EFTUD2, GAPDH, NOP56 might be due to the hypomethylation status of their promoters. Next, we investigated the correlations between the expression levels of four hub genes and tumor immune infiltration using Tumor Immune Estimation Resource (TIMER). Gene set variation analysis suggested that the four hub genes were associated with numerous pathways that affect tumor progression or immune microenvironment. Overall, our results showed that the four hub genes were closely related to tumor prognosis, and may serve as targets for treatment and diagnosis of HCC. In addition, the associations between these genes and immune infiltration enhanced our understanding of tumor immune environment and provided new directions for the development of drugs and the monitoring of tumor immune status.

scholarly journals Spatial Profiles of Intratumoral PD-1+ Helper T Cells Predict Prognosis in Head and Neck Squamous Cell Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Kanako Yoshimura ◽  
Takahiro Tsujikawa ◽  
Junichi Mitsuda ◽  
Hiroshi Ogi ◽  
Sumiyo Saburi ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
T Cells ◽  
Tumor Cell ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Immune Cells ◽  
High Density ◽  
Helper T Cells ◽  
Tissue Segmentation ◽  
Immune Microenvironment

BackgroundFunctional interactions between immune cells and neoplastic cells in the tumor immune microenvironment have been actively pursued for both biomarker discovery for patient stratification, as well as therapeutic anti-cancer targets to improve clinical outcomes. Although accumulating evidence indicates that intratumoral infiltration of immune cells has prognostic significance, limited information is available on the spatial infiltration patterns of immune cells within intratumoral regions. This study aimed to understand the intratumoral heterogeneity and spatial distribution of immune cell infiltrates associated with cell phenotypes and prognosis in head and neck squamous cell carcinoma (HNSCC).MethodsA total of 88 specimens of oropharyngeal squamous cell carcinoma, categorized into discovery (n = 38) and validation cohorts (n = 51), were analyzed for immune contexture by multiplexed immunohistochemistry (IHC) and image cytometry-based quantification. Tissue segmentation was performed according to a mathematical morphological approach using neoplastic cell IHC images to dissect intratumoral regions into tumor cell nests versus intratumoral stroma.ResultsTissue segmentation revealed heterogeneity in intratumoral T cells, varying from tumor cell nest-polarized to intratumoral stroma-polarized distributions. Leukocyte composition analysis revealed higher ratios of TH1/TH2 in tumor cell nests with higher percentages of helper T cells, B cells, and CD66b+ granulocytes within intratumoral stroma. A discovery and validation approach revealed a high density of programmed death receptor-1 (PD-1)+ helper T cells in tumor cell nests as a negative prognostic factor for short overall survival. CD163+ tumor-associated macrophages (TAM) provided the strongest correlation with PD-1+ helper T cells, and cases with a high density of PD-1+ helper T cells and CD163+ TAM had a significantly shorter overall survival than other cases.ConclusionThis study reveals the significance of analyzing intratumoral cell nests and reports that an immune microenvironment with a high density of PD-1+ helper T cells in tumoral cell nests is a poor prognostic factor for HNSCC.

scholarly journals Development of an immunogenomic landscape for the competing endogenous RNAs network of peri-implantitis

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Yang Li ◽  
Jina Zheng ◽  
Chanjuan Gong ◽  
Kengfu Lan ◽  
Yuqing Shen ◽  
...  
Keyword(s):  
Immune Cells ◽  
Immune Cell ◽  
Profile Data ◽  
Immune Microenvironment ◽  
Normal Tissues ◽  
Cerna Network ◽  
Inflammatory Damage ◽  
Competing Endogenous Rnas ◽  
Immune Related Genes ◽  
Important Significance

Abstract Background Peri-implantitis is an inflammation that occurs around the implant, resulting in varying degrees of inflammatory damage to the soft and hard tissues. The characteristic criterion is the loss of the supporting bone in an inflammatory environment. However, the specific mechanisms and biomarkers involved in peri-implantitis remain to be further studied. Recently, competing endogenous RNAs (ceRNA) and immune microenvironment have been found to play a more important role in the inflammatory process. In our study, we analyzed the expression of immune related microRNAs (miRNAs), long noncoding RNAs (lncRNAs) and message RNAs (mRNAs) in peri-implantitis by analyzing GSE33774 and GSE57631. Methods In this study, we explored the expression profile data of immune-related lncRNAs, miRNAs and mRNAs, and constructed immune-related ceRNA network involved in the pathogenesis of peri-implantitis. In addition, the CIBERSORT was used to evaluate the content of immune cells in normal tissues and peri-implantitis to detect the immune microenvironment of peri-implantitis. Results In the analysis, 14 DElncRNAs, 16 DEmiRNAs, and 18 DEmRNAs were used to establish an immune related ceRNA network and the immune infiltration patterns associated with peri-implantitis was discovered. Through the mutual verification of the two datasets, we found that GSK3B and miR-1297 may have important significance in the immune microenvironment and pathogenesis of peri-implantitis and GSK3B was closely related to four types of immune cells, especially with the highest correlation with resting mast cells (P = 0.0003). Conclusions Through immune-related ceRNA network, immune-related genes (IRGs) and immune cell infiltration can further comprehensively understand the pathogenesis of peri-implantitis, which built up an immunogenomic landscape with clinical significance for peri-implantitis.

scholarly journals Development of an immunogenomic landscape for the competing endogenous RNAs network of peri-implantitis

2020 ◽  
Author(s):  
Yang Li ◽  
Ji Na Zheng ◽  
Chan Juan Gong ◽  
Keng Fu Lan ◽  
Yu Qing Shen ◽  
...  
Keyword(s):  
Immune Cells ◽  
Immune Cell ◽  
Profile Data ◽  
Immune Microenvironment ◽  
Normal Tissues ◽  
Cerna Network ◽  
Inflammatory Damage ◽  
Competing Endogenous Rnas ◽  
Immune Related Genes ◽  
Important Significance

Abstract Background: Peri-implantitis is an inflammation that occurs around the implant, resulting in varying degrees of inflammatory damage to the soft and hard tissues. The characteristic criterion is the loss of the supporting bone in an inflammatory environment. However, the specific mechanisms and biomarkers involved in peri-implantitis remain to be further studied. Recently, competing endogenous RNAs (ceRNA) and immune microenvironment have been found to play a more important role in the inflammatory process. In our study, we analyzed the expression of immune related microRNAs (miRNAs), long noncoding RNAs (lncRNAs) and message RNAs (mRNAs) in peri-implantitis by analyzing GSE33774 and GSE57631.Methods: In this study, we explored the expression profile data of immune-related lncRNAs, miRNAs and mRNAs, and constructed immune-related ceRNA network involved in the pathogenesis of peri-implantitis. In addition, the CIBERSORT was used to evaluate the content of immune cells in normal tissues and peri-implantitis to detect the immune microenvironment of peri-implantitis.Results: In the analysis, 14 DElncRNAs, 16 DEmiRNAs, and 18 DEmRNAs were used to establish an immune related ceRNA network and the immune infiltration patterns associated with peri-implantitis was discovered. Through the mutual verification of the two datasets, we found that GSK3B and miR-1297 may have important significance in the immune microenvironment and pathogenesis of peri-implantitis and GSK3B was closely related to four types of immune cells, especially with the highest correlation with resting mast cells (P = 0.0003).Conclusions: Through immune-related ceRNA network, immune-related genes (IRGs) and immune cell infiltration can further comprehensively understand the pathogenesis of peri-implantitis, which built up an immunogenomic landscape with clinical significance for peri-implantitis.

scholarly journals Crosstalk between cancer-associated fibroblasts and immune cells in the tumor microenvironment: new findings and future perspectives

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiaoqi Mao ◽  
Jin Xu ◽  
Wei Wang ◽  
Chen Liang ◽  
Jie Hua ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Immune Cells ◽  
Immune Cell ◽  
Critical Role ◽  
Cancer Associated Fibroblasts ◽  
Cell Of Origin ◽  
Future Perspectives ◽  
Immune Microenvironment ◽  
New Findings ◽  
Essential Components

AbstractCancer-associated fibroblasts (CAFs), a stromal cell population with cell-of-origin, phenotypic and functional heterogeneity, are the most essential components of the tumor microenvironment (TME). Through multiple pathways, activated CAFs can promote tumor growth, angiogenesis, invasion and metastasis, along with extracellular matrix (ECM) remodeling and even chemoresistance. Numerous previous studies have confirmed the critical role of the interaction between CAFs and tumor cells in tumorigenesis and development. However, recently, the mutual effects of CAFs and the tumor immune microenvironment (TIME) have been identified as another key factor in promoting tumor progression. The TIME mainly consists of distinct immune cell populations in tumor islets and is highly associated with the antitumor immunological state in the TME. CAFs interact with tumor-infiltrating immune cells as well as other immune components within the TIME via the secretion of various cytokines, growth factors, chemokines, exosomes and other effector molecules, consequently shaping an immunosuppressive TME that enables cancer cells to evade surveillance of the immune system. In-depth studies of CAFs and immune microenvironment interactions, particularly the complicated mechanisms connecting CAFs with immune cells, might provide novel strategies for subsequent targeted immunotherapies. Herein, we shed light on recent advances regarding the direct and indirect crosstalk between CAFs and infiltrating immune cells and further summarize the possible immunoinhibitory mechanisms induced by CAFs in the TME. In addition, we present current related CAF-targeting immunotherapies and briefly describe some future perspectives on CAF research in the end.

Immunohistochemical determination of PD-L1 expression with three different antibody clones and determination of SOX10 expression in triple negative breast cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15237-e15237
Author(s):  
Margit Maria Guhl ◽  
R.M. Bohle ◽  
Martin Ertz ◽  
Mariz Kasoha ◽  
Mohammed Eid Hammadeh ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Cell ◽  
Immune Cells ◽  
Triple Negative ◽  
Immune Cell ◽  
Clinical Parameters ◽  
Cytoplasmic Staining ◽  
Cell Staining ◽  
Sox10 Expression

e15237 Background: In triple negative breast cancer (TBNC), checkpoint inhibitors directed against PD-L1/PD-1 show an improvement of therapy. For the immunohistochemical diagnosis of the predictive biomarker PD-L1, there are various antibodies and kits available. We examined the expression of PD-L1 in TNBC with different antibody clones to compare these results with regard to the staining of tumor cell membranes, staining of immune cells and cytoplasmic staining in order to find out whether the different clones or methods can be exchanged. It was also checked whether PD-L1 or SOX10 expression correlates with the existing clinical parameters. Methods: Breast cancer tissue of 60 patients with TNBC were examined for the expression of PD-L1 and SOX10 by immunohistochemistry. The detection kit used, was the ultraView universal alkaline phosphatase red detection kit for the antibodies anti-human PD-L1 clone 22C3 from Dako, the clone 28-8 from abcam and the SOX10 antibody clone SP267 from Cell Marque. The anti-PD-L1 antibody clone SP142 was detected with OptiView DAB. The cut-offs for the expression of PD-L1 at the tumor cell membrane were < 1%, > 1 to < 50% and > 50%. In the evaluation of SP142 the staining of the immune cells was evaluated with the score: percentage of PD-L1 positive immune cells to the tumor cells that were present. For SOX10, the nuclear staining was evaluated with the score: < 1, > 1 to 50, > 50 to > 100 and 100. The relationship between PD-L1 expression (TC and IC) and SOX10 expression was evaluated with the clinical parameters of the patients from the time of diagnosis until the end of data collection. Results: The antibodies clone 22C3 and clone 28-8 lead to the same results (22,0 % PD-L1 (TC) positive). Clone SP142 showed significantly (p < 0,001) more PD-L1 positive cases(40,7%). For the additional evaluation of the cytoplasmic staining with clone 22C3 and clone 28-8 it could be shown that the PD-L1 Expression is equivalent (40,7%) to the immune cell staining with clone SP142. With exception of Ki67 we were unable to demonstrate any correlation between PD-L1 (membrane and cytoplasmic), SOX10 and other clinical parameters in TBNC. Conclusions: The antibodies clone 22C3 and 28-8 can be used equivalently for PD-L1 determination in TBNC. Clone SP142 showed different results. The cytoplasmatic staining with 22C3 and 28-8 could gain importance in the future because the results were equivalent to the immune cell staining with clone SP142. There is no correlation between PD-L1 and SOX10 in TNBC.

619 Evaluating the effectiveness of targeted ADC therapy in a patient-derived ex vivo tumoroid model, 3D-EX, for quantitative tumor cell killing

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A655-A655
Author(s):  
Jenny Kreahling ◽  
Jared Ehrhart ◽  
Mibel Pabon ◽  
Stephen Iwanowycz ◽  
Tina Pastoor ◽  
...  
Keyword(s):  
Cell Death ◽  
Tumor Microenvironment ◽  
Tumor Cell ◽  
Immune Cells ◽  
Immune Cell ◽  
Confocal Imaging ◽  
Tumor Cell Death ◽  
Drug Conjugates ◽  
Tumor Cell Killing ◽  
Antibody Drug

BackgroundAntibody drug conjugates (ADCs) are an effective tool for site directed delivery of cytotoxic agents to cancer cells. Tailoring of ADC-specificity to the uniqueness of a patient‘s tumor can aid in direct-targeting of tumor cells and potentially improve drug responsiveness. Here we evaluate the potential of using an ADC therapy for targeted tumor cell death and immune cell activation in combination with checkpoint inhibitors in 3D tumoroids.MethodsAll human tumor samples were obtained with proper patient consent and IRB approval. Fresh patient tumor tissue of various histologic types including CRC and NSCLC were processed to generate uniform sized live 3D tumoroids measuring 150 µm in size. Treatment groups included a conjugated ADC therapeutic antibody alone or in combination with PD-1/PD-L1 inhibitors. Culture supernatants were collected for multiplex analysis of cytokine release in media. Additionally, flow cytometry was used to assess the activation profile of resident immune cells in combination with high-content confocal imaging to determine extent of tumor cell death in the intact tumor extracellular matrix.ResultsUsing fresh patient-derived tumoroids, we observed ADC-mediated cell death and activation of immune cells within the tumor microenvironment. Production of pro-inflammatory cytokines correlated with increased activation of tumor infiltrating immune cell populations. The improved immune response led to increased tumor cell killing within the 3D tumor microenvironment observed by high-content confocal imaging.ConclusionsIn this study we demonstrate that our physiologically relevant 3D tumoroid model is an effective system to assess novel antibody drug conjugates and to develop rational drug combinations with other immuno-oncology agents. Furthermore, implementation of 3D-EX platform, in the clinical setting, may also allow for determination of the most effective combinatorial immuno-oncology treatment strategies for individualized patient care.Ethics ApprovalThe study was approved by Chesapeake IRB Pro00014313.

scholarly journals Extracellular HMGB1 blockade inhibits tumor growth through profoundly remodeling immune microenvironment and enhances checkpoint inhibitor-based immunotherapy

2021 ◽  
Vol 9 (3) ◽  
pp. e001966
Author(s):  
Pascale Hubert ◽  
Patrick Roncarati ◽  
Stephanie Demoulin ◽  
Charlotte Pilard ◽  
Marie Ancion ◽  
...  
Keyword(s):  
Immune Cells ◽  
Immune Cell ◽  
Advanced Glycation Endproducts ◽  
High Mobility ◽  
Suppressor Cells ◽  
Immune Checkpoint Blockade ◽  
Dependent Manner ◽  
Immune Microenvironment ◽  
Regulatory T Lymphocytes ◽  
Immune Checkpoint Blockade Antibodies

BackgroundHigh-mobility group box 1 (HMGB1) is a multifunctional redox-sensitive protein involved in various intracellular (eg, chromatin remodeling, transcription, autophagy) and extracellular (inflammation, autoimmunity) processes. Regarding its role in cancer development/progression, paradoxical results exist in the literature and it is still unclear whether HMGB1 mainly acts as an oncogene or a tumor suppressor.MethodsHMGB1 expression was first assessed in tissue specimens (n=359) of invasive breast, lung and cervical cancer and the two distinct staining patterns detected (nuclear vs cytoplasmic) were correlated to the secretion profile of malignant cells, patient outcomes and the presence of infiltrating immune cells within tumor microenvironment. Using several orthotopic, syngeneic mouse models of basal-like breast (4T1, 67NR and EpRas) or non-small cell lung (TC-1) cancer, the efficacy of several HMGB1 inhibitors alone and in combination with immune checkpoint blockade antibodies (anti-PD-1/PD-L1) was then investigated. Isolated from retrieved tumors, 14 immune cell (sub)populations as well as the activation status of antigen-presenting cells were extensively analyzed in each condition. Finally, the redox state of HMGB1 in tumor-extruded fluids and the influence of different forms (oxidized, reduced or disulfide) on both dendritic cell (DC) and plasmacytoid DC (pDC) activation were determined.ResultsAssociated with an unfavorable prognosis in human patients, we clearly demonstrated that targeting extracellular HMGB1 elicits a profound remodeling of tumor immune microenvironment for efficient cancer therapy. Indeed, without affecting the global number of (CD45+) immune cells, drastic reductions of monocytic/granulocytic myeloid-derived suppressor cells (MDSC) and regulatory T lymphocytes, a higher M1/M2 ratio of macrophages as well as an increased activation of both DC and pDC were continually observed following HMGB1 inhibition. Moreover, blocking HMGB1 improved the efficacy of anti-PD-1 cancer monoimmunotherapy. We also reported that a significant fraction of HMGB1 encountered within cancer microenvironment (interstitial fluids) is oxidized and, in opposite to its reduced isoform, oxidized HMGB1 acts as a tolerogenic signal in a receptor for advanced glycation endproducts-dependent manner.ConclusionCollectively, we present evidence that extracellular HMGB1 blockade may complement first-generation cancer immunotherapies by remobilizing antitumor immune response.

scholarly journals Landscape of Immune Microenvironment Under Immune Cell Infiltration Pattern in Breast Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Qianhui Xu ◽  
Shaohuai Chen ◽  
Yuanbo Hu ◽  
Wen Huang
Keyword(s):  
Breast Cancer ◽  
Immune Cells ◽  
Immune Cell ◽  
Principal Component ◽  
Gene Set Enrichment Analysis ◽  
Cell Infiltration ◽  
Signal Pathways ◽  
Immune Cell Infiltration ◽  
Consensus Clustering ◽  
Immune Microenvironment

BackgroundIncreasing evdence supports the suggestion that the immune cell infiltration (ICI) patterns play a pivotal role in tumor progression in breast cancer (BRCA). Nonetheless, there has been no comprehensive analysis of the ICI patterns effects on the clinical outcomes and immunotherapy.MethodsMultiomic data for BRCA samples were downloaded from TCGA. ESTIMATE algorithm, ssGSEA method, and CIBERSORT analysis were used to uncover the landscape of the tumor immune microenvironment (TIME). BRCA subtypes based on the ICI pattern were identified by consensus clustering and principal-component analysis was performed to obtain the ICI scores to quantify the ICI patterns in individual tumors. Their prognostic value was validated by the Kaplan-Meier survival curves. Gene set enrichment analysis (GSEA) was applied for functional annotation. Immunophenoscore (IPS) was employed to explore the immunotherapeutic role of the ICI scores. Finally, the mutation data was analyzed by using the “maftools” R package.ResultsThree different immune infiltration patterns with a distinct prognosis and biological signature were recognized among 1,198 BRCA samples. The characteristics of TIME under these three patterns were highly consistent with three known immune profiles: immune- excluded, immune-desert, and immune-inflamed phenotypes, respectively. The identification of the ICI patterns within individual tumors based on the ICI score, developed under the ICI-related signature genes, contributed into dissecting biological processes, clinical outcome, immune cells infiltration, immunotherapeutic effect, and genetic variation. High ICI score subtype, characterized with a suppression of immunity, suggested an immune-exhausted phenotype. Abundant effective immune cells were discovered in the low ICI score patients, which corresponded to an immune-activated phenotype and might present an immunotherapeutic advantage. Immunophenoscore was implemented as a surrogate of immunotherapeutic outcome, low-ICI scores samples obtained a significantly higher immunophenoscore. Enrichment of the JAK/STAT and VEGF signal pathways were activated in the ICI low-score subgroup. Finally, the synergistic effect between the ICI score and the tumor mutation burden (TMB) was confirmed.ConclusionThis work comprehensively elucidated that the ICI patterns served as an indispensable player in complexity and diversity of TIME. Quantitative identification of the ICI patterns in individual tumor will contribute into mapping the landscape of TIME further optimizing precision immunotherapy.

scholarly journals Autologous humanized mouse models of iPSC-derived tumors allow for the evaluation and modulation of cancer-immune cell interactions

2021 ◽  
Author(s):  
Gaël Moquin-Beaudry ◽  
Basma Benabdallah ◽  
Damien Maggiorani ◽  
Oanh Le ◽  
Yuanyi Li ◽  
...  
Keyword(s):  
Drug Development ◽  
Tumor Cell ◽  
Cell Lines ◽  
Immune Cells ◽  
Immune Cell ◽  
Cell Types ◽  
Cell Interactions ◽  
Humanized Mice ◽  
Immunosuppressive Microenvironment ◽  
Cancer Immunotherapies

ABSTRACTModeling the tumor-immune cell interactions in humanized mice is complex and limits drug development. Here, we generated easily accessible tumor models by transforming either primary skin fibroblasts or iPSC-derived cell lines injected in immune-deficient mice reconstituted with human autologous immune cells. Our results showed that either fibroblastic, hepatic or neural tumors were all efficiently infiltrated and partially or totally rejected by autologous immune cells in humanized mice. Characterization of tumor immune infiltrates revealed high expression levels of the dysfunction markers Tim3 and PD-1 in T cells and an enrichment in regulatory T cell suggesting rapid establishment of an immunosuppressive microenvironment. Inhibition of PD-1 by Nivolumab in humanized mice resulted in an increased immune cell infiltration and a slight decrease in tumor growth. We expect these versatile and accessible cancer models will facilitate preclinical studies and the evaluation of autologous cancer immunotherapies across a range of different tumor cell types.SIGNIFICANCE STATEMENTPreclinical models capable of providing an environment where human tumors are confronted with autologous immune cells are not easily accessible and limit drug development. As an alternative we generated genetically-defined tumor cell lines from primary and iPSC-derived cells for the evaluation of cancer-immune cell interactions in autologous humanized mice.

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