scholarly journals The CC′ loop of IgV domain containing immune checkpoint receptors: From a bystander to an active determinant of receptor:ligand binding

2019 ◽  
Author(s):  
Shankar V. Kundapura ◽  
Udupi A. Ramagopal

AbstractAntibodies targeting negative regulators of immune checkpoints have shown unprecedented and durable response against variety of malignancies. While the concept of blocking the negative regulators of immune checkpoints using mAbs appears to be an outstanding approach, their limited effect and several drawbacks such as resistance, poor solid tumor penetration and so on, calls for the rational design of next generation of therapeutics. Soluble isoforms of negative regulators of immune checkpoints are expressed naturally and are shown to regulate the immune response, suggesting the soluble version of these molecules and affinity-modified versions of these self-molecules could be effective lead molecules for immunotherapy. To get a better insight on hotspot regions for modification, we have analysed structures of available immune receptor:ligand complexes containing IgV domains. Interestingly, this analysis reveals that the CC′ loop of IgV domain, a loop which is distinct from CDRs which are generally utilized by antibodies to recognize antigens, plays a pivotal role in affinity modulation. Here, we present several examples of cognate partner specific conformational variation observed in CC′ loop of several checkpoint receptor:ligand complexes. In addition,in silicoswapping of CC′ loop targeting TIGIT:Nectin-2/PVR pathway corroborated well with biophysically determined affinity values for these complexes. Thus, CC′ loop appears to be a hotspot for affinity modification without affecting the specificity to their cognate receptors, an important requirement to avoid unintended interaction of these modified molecules with undesired targets.

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Shankar V. Kundapura ◽  
Udupi A. Ramagopal

AbstractAntibodies targeting negative regulators of immune checkpoints have shown unprecedented and durable response against variety of malignancies. While the concept of blocking the negative regulators of the immune checkpoints using mAbs appears to be an outstanding approach, their limited effect and several drawbacks, calls for the rational design of next generation of therapeutics. Soluble isoforms of the negative regulators of immune checkpoint pathways are expressed naturally and regulate immune responses. This suggests, affinity-modified versions of these self-molecules could be effective lead molecules for immunotherapy. To obtain better insights on the hotspot regions for modification, we have analysed structures of 18 immune receptor:ligand complexes containing the IgV domain. Interestingly, this analysis reveals that the CC′ loop of IgV domain, a loop which is distinct from CDRs of antibodies, plays a pivotal role in affinity modulation, which was previously not highlighted. It is noteworthy that a ~5-residue long CC′ loop in a ~120 residue protein makes significant number of hydrophobic and polar interactions with its cognate ligand. The post-interaction movement of CC′ loop to accommodate the incoming ligands, seems to provide additional affinity to the interactions. In silico replacement of the CC′ loop of TIGIT with that of Nectin-2 and PVR followed by protein docking trials suggests a key role of the CC′ loop in affinity modulation in the TIGIT/Nectin pathway. The CC′ loop appears to be a hotspot for the affinity modification without affecting the specificity to their cognate receptors.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Wei Zhang ◽  
You Zhai ◽  
Guanzhang Li ◽  
Tao Jiang

Abstract Background Glioma is the most common and fatal type of nerve neoplasm in the central nervous system. Several biomarkers have been considered for prognosis prediction, which is not accurate enough. We aimed to carry out a gene signature related to the expression of immune checkpoints which was enough for its performance in prediction. Methods Gene expression of immune checkpoints in TGGA database was filtrated. The 5 selected genes underwent verification by COX and Lasso-COX regression. Next, the selected genes were included to build a novel signature for further analysis. Results Patients were sub-grouped into high and low risk according to the novel signature. Immune response, clinicopathologic characters, and survival showed significant differences between those 2 groups. Terms including “naive,” “effector,” and “IL-4” were screened out by GSEA. The results showed strong relevance between the signature and immune response. Conclusions We constructed a gene signature with 5 immune checkpoints. The signature predicted survival effectively. The novel signature performed more functional than previous biomarkers.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Lijun Xu ◽  
Qing Zheng

Abstract Background Tumor mutational burden (TMB) is a promising predictor, which could stratify colorectal cancer (CRC) patients based on the response to immune checkpoint inhibitors (ICIs). MicroRNAs (miRNAs) act as the key regulators of anti-cancer immune response. However, the relationship between TMB and miRNA expression profiles is not elucidated in CRC. Methods Differentially expressed miRNAs (DE miRNAs) between the TMBhigh group and the TMBlow group were identified for the CRC cohort of the TCGA database. In the training cohort, a miRNA-related expression signature for predicting TMB level was developed by the least absolute shrinkage and selection operator (LASSO) method and tested with reference to its discrimination, calibration, and decision curve analysis (DCA) in the validation cohort. Functional enrichment analysis of these TMB-related miRNAs was performed. The correlation between this miRNA-related expression signature and three immune checkpoints was analyzed. Results Twenty-one out of 43 DE miRNAs were identified as TMB-related miRNAs, which were used to develop a miRNA-related expression signature. This TMB-related miRNA signature demonstrated great discrimination (AUCtest set = 0.970), satisfactory calibration (P > 0.05), and clinical utility in the validation cohort. Functional enrichment results revealed that these TMB-related miRNAs were mainly involved in biological processes associated with immune response and signaling pathways related with cancer. This miRNA-related expression signature showed a median positive correlation with PD-L1 (R = 0.47, P < 0.05) and CTLA4 (R = 0.39, P < 0.05) and a low positive correlation with PD-1 (R = 0.16, P < 0.05). Conclusion This study presents a miRNA-related expression signature which could stratify CRC patients with different TMB levels.


2017 ◽  
Vol 39 (12) ◽  
pp. e12496 ◽  
Author(s):  
B. Sak ◽  
M. Kotková ◽  
L. Hlásková ◽  
M. Kváč

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A9-A9
Author(s):  
Tyler Nielsen ◽  
Rob Seitz ◽  
Douglas Ross ◽  
David Hout ◽  
Brock Schweitzer

BackgroundImmune checkpoint inhibitors have emerged as a front-line treatment for cancer in multiple indications. Unfortunately, a majority of patients do not realize durable response as a result of primary resistance to the immunotherapy. We have previously described a novel 27-gene immuno-oncology assay and algorithm which demonstrated significant predictive value in both NSCLC and TNBC. This algorithm utilizes gene expression to assess the tumor immune microenvironment (TIME) by combining aspects of the immune response, surrounding stromal cell signaling, and tumor physiology. We hypothesized that features of this algorithm may not only identify responders to immunotherapy (immunomodulatory, IO subtype) but may better enrich for patients who would benefit from other targeted therapeutics that alter the tumor microenvironment such as VEGF or FAK inhibitors (mesenchymal, M subtype).MethodsPathway analysis was used on TNBC specimens representing both the IO and M subtypes as determined by the 27-gene immuno-oncology algorithm. Expression reads were scaled within each sample and the difference of the mean of expression of each gene within IO and M subtypes was determined to quantify relative expression within each pathway. Finally, the mesenchymal score obtained from the 27-gene immuno-oncology algorithm was used to stratify RNAseq expression data from xenograft models that were either sensitive or resistant to a FAK inhibitor (FAKi).ResultsPathway analysis identified stratification between the 27-gene immuno-oncology algorithm subtypes finding with the mesenchymal subtype is associated with higher WNT, TGF-B, and RAS pathways whereas the IO subtype was more highly associated with the JAK/STAT pathway. Additionally, the mesenchymal score from the 27-gene immuno-oncology algorithm was higher in the FAK inhibitor sensitive (0.36) xenograft models than the FAKi resistant (0.076) models (p = 0.025).ConclusionsThe 27-gene immuno-oncology algorithm assesses the TIME to account for the immune response, surrounding stromal cell signaling, and tumor physiology to provide both an immuno-oncology subtype and mesenchymal subtype. We have previously demonstrated improved ability of the IO subtype to predict response to ICIs over current gold standard biomarkers. These data suggest that the M subtype is a distinct feature of the IO subtype which may enrich for patients more likely to respond to targeted therapeutics that act upon the canonical tumor promoting signaling pathways.


2020 ◽  
Author(s):  
Qiang Liu ◽  
Yihang Qi ◽  
Jie Zhai ◽  
Xiangyi Kong ◽  
Xiangyu Wang ◽  
...  

Abstract Background Despite the promising impact of cancer immunotherapy targeting CTLA4 and PD1/PDL1, a large number of cancer patients fail to respond. LAG3 (Lymphocyte Activating 3), also named CD233, is a protein Coding gene served as alternative inhibitory receptors to be targeted in the clinic. The impact of LAG3 on immune cell populations and co-regulation of immune response in breast cancer remained largely unknown. Methods To characterize the role of LAG3 in breast cancer, we investigated transcriptome data and associated clinical information derived from a total of 2994 breast cancer patients. Results We observed that LAG3 was closely correlated with major molecular and clinical characteristics, and was more likely to be enriched in higher malignant subtype, suggesting LAG3 was a potential biomarker of triple-negative breast cancer. Furthermore, we estimated the landscape of relationship between LAG3 and ten types of cell populations in breast cancer. Gene ontology analysis revealed LAG3 were strongly correlated with immune response and inflammatory activities. We investigated the correlation pattern between LAG3 and immune modulators in pan-cancer, especially the synergistic role of LAG3 with other immune checkpoints members in breast cancer. Conclusions LAG3 expression was closely related to malignancy of breast cancer and might serve as a potential biomarker; LAG3 might plays an important role in regulating tumor immune microenvironment, not only T cells, but also other immune cells. More importantly, LAG3 might synergize with CTLA4, PD1/ PDL1 and other immune checkpoints, thereby lending more evidences to combination cancer immunotherapy by targeting LAG3, PD1/PDL1, and CTLA4 together.


Biomolecules ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1749
Author(s):  
Jing-Jing Wang ◽  
Michelle Kwan-Yee Siu ◽  
Yu-Xin Jiang ◽  
Thomas Ho-Yin Leung ◽  
David Wai Chan ◽  
...  

Programmed cell death 1 ligand (PD-L1) blockade has been used therapeutically in the treatment of ovarian cancer, and potential combination treatment approaches are under investigation to improve the treatment response rate. The increased dependence on glutamine is widely observed in various type of tumors, including ovarian cancer. Kidney-type glutaminase (GLS), as one of the isotypes of glutaminase, is found to promote tumorigenesis. Here, we have demonstrated that the combined treatment with GLS inhibitor 968 and PD-L1 blockade enhances the immune response against ovarian cancer. Survival analysis using the Kaplan–Meier plotter dataset from ovarian cancer patients revealed that the expression level of GLS predicts poor survival and correlates with the immunosuppressive microenvironment of ovarian cancer. 968 inhibits the proliferation of ovarian cancer cells and enhances granzyme B secretion by CD8+ T cells as detected by XTT assay and flow cytometry, respectively. Furthermore, 968 enhances the apoptosis-inducing ability of CD8+ T cells toward cancer cells and improves the treatment effect of anti-PD-L1 in treating ovarian cancer as assessed by Annexin V apoptosis assay. In vivo studies demonstrated the prolonged overall survival upon combined treatment of 968 with anti-PD-L1 accompanied by increased granzyme B secretion by CD4+ and CD8+ T cells isolated from ovarian tumor xenografts. Additionally, 968 increases the infiltration of CD3+ T cells into tumors, possibly through enhancing the secretion of CXCL10 and CXCL11 by tumor cells. In conclusion, our findings provide a novel insight into ovarian cancer cells influence the immune system in the tumor microenvironment and highlight the potential clinical implication of combination of immune checkpoints with GLS inhibitor 968 in treating ovarian cancer.


Author(s):  
Joana G. Rodrigues ◽  
Henrique O. Duarte ◽  
Celso A. Reis ◽  
Joana Gomes

Aberrant cell surface glycosylation signatures are currently known to actively drive the neoplastic transformation of healthy cells. By disrupting the homeostatic functions of their protein carriers, cancer-associated glycans mechanistically underpin several molecular hallmarks of human malignancy. Furthermore, such aberrant glycan structures play key roles in the acquisition of molecular resistance to targeted therapeutic agents, which compromises their clinical efficacy, by modulating tumour cell aggressiveness and supporting the establishment of an immunosuppressive microenvironment. Recent advances in the study of the tumour cell glycoproteome have unravelled previously elusive molecular mechanisms of therapeutic resistance, guided the rational design of novel personalized therapeutic strategies, and may further improve the clinical performance of currently approved anti-cancer targeted agents. In this review, we highlight the impact of glycosylation in cancer targeted therapy, with particular focus on receptor tyrosine kinase-targeted therapy, immune checkpoints blockade therapy, and current developments on therapeutic strategies directed to glycan-binding proteins and other innovative glycan therapeutic strategies.


2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi173-vi173
Author(s):  
Philip Schmassmann ◽  
Tomás A Martins ◽  
Michal Stanczak ◽  
Marie-Françoise Ritz ◽  
Tala Shekarian ◽  
...  

Abstract Recently, ‘don’t eat me’-signals like CD47 have emerged as novel innate immune checkpoints, enabling cancer cells to evade clearance by phagocytes such as monocyte-derived macrophages (MDM) or microglia (MG). Here, we aim at defining the role of inhibitory Siglec-9 in human and its mouse homologue Siglec-E in MG-centered immunotherapy against GBM. TCGA RNA-sequencing data revealed a significant correlation between high expression of immunoinhibitory SIGLEC9 and poor survival in GBM patients (log-rank p = 0.02). Siglec-E blockade increased murine MG mediated GBM cell in vitro phagocytosis (normalized phagocytosis of 1.00 in isotype vs. 1.76 in anti-Siglec-E antibody, p &lt; 0.001). By employing a CT-2A orthotopic GBM mouse model with MG-specific spatio-temporal deletion of Siglece (Sall1 CreERT2 x Siglece flox ), we observed high MG-proliferation upon Siglec-E knockdown (Ki-67+ MG 14.8% in Cre- vs. 34.9% in Cre+, p &lt; 0.0001) accompanied by an enhanced microglial GBM-cell uptake (5.6% in Cre- vs. 12.3% in Cre+, p &lt; 0.001). This beneficial response was counteracted by an accentuated influx of pro-tumorigenic MDM in the Cre+ group (CD163high CD86low MDM of total MDM 47.1% in Cre- vs. 65.3% in Cre+, p = 0.002), which prevented an efficient adaptive anti-tumor immune response and survival benefit. Currently, we are investigating the cross-talk between GBM-associated MG and MDM upon Siglec-E knockdown by scRNAseq of the tumor-infiltrating immune compartment, including TCR-clonotype tracking. By genetically targeting sialic acids, the ligand for Siglec receptors, on CT-2A cells (GNE-KO), we observed a strong innate and adaptive immune response with less exhausted tumor-infiltrating CD8+ T-cells (14.8% in WT vs. 5.9% in GNE-KO, p = 0.003), which resulted in a prolonged survival (30d in WT vs. 41d post-tumor-injection in GNE-KO, p = 0.03). These data identify the sialic-acid-Siglec-E pathway as an anti-phagocytic signal in a pre-clinical GBM model, and demonstrate its therapeutic potential in GBM immunotherapy.


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