High PD-1 Research Articles

Identification of cancer-associated fibroblasts signature for predicting the prognosis and immunotherapy response in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most common malignancies globally with poor prognosis. Cancer-associated fibroblasts (CAFs) play multiple functions in the regulation of tumorigenesis, metastasis and therapeutic resistance of cancer. The current study aimed to explore the role of CAFs-related genes in the prognosis and immunotherapy response in HCC. CAFs-related genes were identified by using single-cell RNA-sequencing analysis. Least absolute shrinkage and selection operator (LASSO) analysis was conducted to develop a CAFs-related prognostic signature (FRPS) in TCGA dataset and verified in ICGC, GSE14520 and GSE76427 cohorts. Several tools, including Tumor Immune Dysfunction and Exclusion (TIDE) score, immunophenoscore, and Tumor Mutation Burden (TMB) score were used to evaluate the value of FRPS in predicting immunotherapy benefits. The FRPS constructed based on 10 genes (RGS5, CNN3, PALLD, FLNA, KLHL23, MYC, NDRG2, SERPINE1, CD151 CALU) served as an independent risk factor and showed stable and powerful performance in predicting the overall survival rate of HCC patients with an AUCs of 0. 734, 0.727, and 0.717 in 2-, 3-, and 4-year ROC curve in TCGA cohort. Low risk score indicated a higher abundance of CD8+ T cells and NK, and lower abundance of Treg. Moreover, HCC patients with low risk score had a higher PD1&CTLA4 immunophenoscore, higher TMB score, and lower TIDE score. Moreover, high risk score indicated a lower IC50 value of 5-fluorouracil, camptothecin, cisplatin, docetaxel, gemcitabine, paclitaxel, afatinib, crizotinib, dasatinib, erlotinib, erlotinib, gefitinib, lapatinib, and osimertinib in HCC. Our study develops a novel FRPS HCC. The FRPS acts as a risk factor for the prognosis of HCC patients and it can predict the immunotherapy benefits of HCC patients.

Machine learning developed a PI3K/Akt pathway-related signature for predicting prognosis and drug sensitivity in ovarian cancer.

Ovarian cancer is one of the deadliest malignancies among females, generally having a poor prognosis. The PI3K/Akt pathway plays a vital role in the oncogenesis and progression of many types of cancer. Limited studies have fully clarified the role of PI3K/Akt pathway in the prognosis of ovarian cancer and its correlation with drug sensitivity. A prognostic PI3K/Akt pathway related signature (PRS) was constructed with 10 machine learning algorithms using TCGA, GSE14764, GSE26193, GSE26712, GSE63885 and GSE140082 datasets. Gaussian mixture and logistic regression were performed to identify the optimal models for classifying lymphatic and venous invasion. The optimal prognostic PRS developed by Lasso + survivalSVM algorithm acted as an independent risk factor for overall survival (OS) of ovarian cancer patients and had a good performance in evaluating OS rate of ovarian cancer patients. Significant correlation was obtained between PRS-based risk score and Immune score, ESTIMATE score, immune cells and cancer-related hallmarks. Low risk score indicated a lower immune escape score, TIDE score, and higher PD1&CTLA4 immunophenoscore in ovarian cancer. Moreover, PRS-based risk score acted as an indicator for drug sensitivity in the immunotherapy and chemotherapy of ovarian cancer patients. All in all, our study developed a prognostic PRS showing powerful and good performance in predicting clinical outcome of ovarian cancer patients. PRS could serve as an indicator for drug sensitivity in the chemotherapy and immunotherapy.

Machine Learning Developed a Programmed Cell Death Signature for Predicting Prognosis, Ecosystem, and Drug Sensitivity in Ovarian Cancer.

Ovarian cancer (OC) is the leading cause of gynecological cancer death and the fifth most common cause of cancer-related death in women in America. Programmed cell death played a vital role in tumor progression and immunotherapy response in cancer. The prognostic cell death signature (CDS) was constructed with an integrative machine learning procedure, including 10 methods, using TCGA, GSE14764, GSE26193, GSE26712, GSE63885, and GSE140082 datasets. Several methods and single-cell analysis were used to explore the correlation between CDS and the ecosystem and therapy response of OC patients. The prognostic CDS constructed by the combination of StepCox (n = both) + Enet (alpha = 0.2) acted as an independent risk factor for the overall survival (OS) of OC patients and showed stable and powerful performance in predicting the OS rate of OC patients. Compared with tumor grade, clinical stage, and many developed signatures, the CDS had a higher C-index. OC patients with low CDS score had a higher level of CD8+ cytotoxic T, B cell, and M1-like macrophage, representing a related immunoactivated ecosystem. A low CDS score indicated a higher PD1 and CTLA4 immunophenoscore, higher tumor mutation burden score, lower tumor immune dysfunction and exclusion score, and lower tumor escape score in OC, demonstrating a better immunotherapy response. OC patients with high CDS score had a higher gene set score of cancer-related hallmarks, including angiogenesis, epithelial-mesenchymal transition, hypoxia, glycolysis, and notch signaling. The current study constructed a novel CDS for OC, which could serve as an indicator for predicting the prognosis, ecosystem, and immunotherapy benefits of OC patients.

EXPRESSION OF PROGRAMMED CELL DEATH PROTEIN 1 (PD-1) AND ITS LIGAND PD-L1 IN HIGH-GRADE SEROUS OVARIAN CANCER

Recently, the immunotherapeutic treatment of ovarian cancer is of much concern. This is due to the discovery of the signaling pathway of the PD-1/PD-L1 immune checkpoints, which are capable of controlling autoimmune response severity and duration.
 The aim of the study is to determine the dependence of PD-1/PD-L1 expression on the proliferative activity of high-grade serous ovarian cancer cells.
 Materials and Methods. The study was performed at Central Research Laboratory, Pacific State Medical University, Ministry of Health of the Russian Federation. The material was collected at Primorsky Regional Oncological Dispensary, 2016–2021. The pathological and anatomical samples were analyzed by immunohistochemistry using p53, Ki-67, PD-L1, and Anti-Hu CD279 (PD-1). The main group included 74 patients with high-grade serous ovarian cancer, the comparative group consisted of 26 patients with benign ovarian tumors.
 Results. PD-1/PD-L1 expression was observed in tumor tissues in ovarian cancer. There was also an increase in the positive reaction to Ki-67 and p53 according to grading and staging of cancer.
 Conclusion. Despite the claimed immunomodulatory function, high PD-1/PD-L1 levels are favorable prognostic indicators in ovarian cancer. The obtained data show that PD-1/PD-L1 molecules are biologically significant regulators of the immune response in high-grade serous ovarian cancer, which is an argument in favor of immune checkpoint inhibitors. Thus, PD-L1 in the immune cells infiltrating the tumor is a favorable prognostic factor. A statistically significant direct correlation between Ki-67 and PD-L1 proves a direct dependence of PD-L1 expression on proliferative activity of the ovarian tumor. A statistically significant inverse correlation between p53 and PD-1 shows the dependence of PD-1 expression on apoptotic changes in the ovarian tumor.

Identification of M2-like macrophage-related signature for predicting the prognosis, ecosystem and immunotherapy response in hepatocellular carcinoma.

Hepatocellular carcinoma is one of the most common malignancies worldwide, representing a big health-care challenge globally. M2-like macrophages are significantly correlated with tumor progression, metastasis and treatment resistance. Integrative 10 machine learning algorithms were performed to developed a M2-like macrophage related prognostic signature (MRPS). Single-cell RNA-sequencing analysis was performed to dissect the ecosystem of HCC. Several approaches, including TIDE score, immunophenoscore, TMB score and tumor escape score were used to evaluate the predictive role of MRPS in immunology response. The optimal MRPS constructed by the combination of stepCox + superPC algorithm served as an independent risk factor and showed stable and powerful performances in predicting the overall survival rate of HCC patients with 2-, 3-, and 4-year AUCs of 0. 763, 0.751, and 0.699 in TCGA cohort. HCC patients with low risk score possessed a more interaction of immunoactivated cells, including NK, CD8+ cytotoxic T, and activated B, and a less interaction of immunosuppressive cells, including Treg, CD4+ exhauster T, and M2-like macrophage. Low risk score indicated a higher PD1&CTLA4 immunophenoscore, higher TMB score, lower TIDE score and lower tumor escape score in HCC, suggesting a better immunotherapy response. The IC50 value of docetaxel, gemcitabine, crizotinib and Osimertinib in HCC with high risk score were lower versus that with low risk score. HCC patients with high risk score had a higher score of cancer-related hallmarks, including angiogenesis, DNA repair, EMT, glycolysis, and NOTCH signaling. Our study proposed a novel MRPS for predicting the prognosis, ecosystem and immunotherapy response in HCC.

Machine learning developed a programmed cell death signature for predicting prognosis and immunotherapy benefits in lung adenocarcinoma

BackgroundLung cancer is the leading cause of cancer-related deaths worldwide with poor prognosis. Programmed cell death (PCD) plays a crucial function in tumor progression and immunotherapy response in lung adenocarcinoma (LUAD). MethodsIntegrative machine learning procedure including 10 methods was performed to develop a prognostic cell death signature (CDS) using TCGA, GSE30129, GSE31210, GSE37745, GSE42127, GSE50081, GSE68467, GSE68571, and GSE72094 dataset. The correlation between CDS and tumor immune microenvironment was evaluated using various methods and single cell analysis. qRT-PCR and CCK-8 assay were conducted to explore the biological functions of hub gene. ResultsThe prognostic CDS developed by Lasso + survivalSVM method was regarded as the optimal prognostic model. The CDS had a stable and powerful performance in predicting the clinical outcome of LUAD and served as an independent risk factor in TCGA and 8 GEO datasets. The C-index of CDS was higher than that of clinical stage and many developed signatures for LUAD. LUAD patients with low CDS score had a higher PD1&CTLA4 immunophenoscore, higher TMB score, lower TIDE score and lower tumor escape score, indicating a better immunotherapy benefit. Single cell analysis revealed a strong and frequent communication between epithelial cells and cancer-related fibroblasts by specific ligand-receptor pairs, including COL1A2-SDC4 and COL1A2-SDC1. Vitro experiment showed that SLC7A5 was upregulated in LUAD and knockdown of SLC7A5 obviously suppressed tumor cell proliferation. ConclusionOur study developed a novel CDS for LUAD. The CDS served as an indicator for predicting the prognosis and immunotherapy benefits of LAUD patients.

Relationship between ICOS and ICOS ligand RNA expression patterns with tumor type, tumor mutational burden, and clinically relevant immune checkpoints.

e14669 Background: ICOS (inducible T-cell co-stimulator) has a unique ligand (ICOSL). Together they contribute to both antitumor responses/immune stimulation and potentiating immunosuppression. The interaction of ICOS and ICOSL can stimulate CD4 and CD8 ICOS-positive T-cell populations, but also can increase immunosuppressive regulator T-cells. ICOS agonists and antagonists are both under development as novel therapies. We aimed to quantify ICOS and ICOSL expression relationships with tumor type and other clinically relevant checkpoint inhibitors along with evaluating relationships between ICOS and ICOSL expression patterns. Methods: Data from 514 patients with advanced solid tumors at the University of California San Diego were used in the analysis. RNA expression levels of ICOS, ICOS ligand, PD-1, PD-L1, LAG-3, and CTLA-4 from tumor specimens were analyzed at OmniSeq. Tumor mutational burden (TMB) was also evaluated. Univariate analyses (Fischer’s exact tests) and multivariate analysis (logistic regression) were conducted in SAS v 9.4 to determine relationships between high (>=75 percentile RNA rank) and low (0-24 percentile RNA rank) ICOS and ICOSL expression with age, gender, cancer type, high LAG-3, high TMB, high CTLA4, high PD-1, and high PD-L1. The relationship between ICOS and ICOSL high or low expression were also assessed. Results: Seventy patients had high ICOS (14%) and 192 had high ICOSL (37%) while low ICOS was seen in 226 (44%) and low ICOSL was seen in 76 (15%). High ICOS RNA levels were independently associated with patients not having colorectal cancer (p=0.0009), tumors with high PD-1 expression (p=0.025), tumors with high PD-L1 expression (p<0.0001), and tumors with high CTLA-4 expression (p<0.0001). Low ICOS RNA levels were independently associated with patients whose tumors did not have high PD-1 (p=0.0006), tumors that did not have high PD-L1 (p=0.01), tumors that did not have high CTLA-4 expression (p<0.0001), and those with low ICOSL expression (p=0.0007). High ICOSL was independently associated with a diagnosis of colorectal cancer (p=0.0015), tumors that did not have high PD-L1 expression (p=0.003), and tumors with high CTLA4 (p=0.0001). Low ICOSL was independently associated with patients who did not have colorectal cancer (p=0.0001) and tumors with low ICOS expression (p=0.0032). Conclusions: ICOS and ICOSL RNA expression patterns can provide insight into the complicated ICOS/ICOSL immune checkpoint signaling pathway and help support rational immunotherapy combinations as part of a precision medicine approach. Both stimulators and inhibitors of the ICOS/ICOSL axis are being developed, and their proper application may require interrogation of the individual patient’s tumor/environment.

BTLA transcriptomic expression correlates with high levels of PD-1, PD-L2, and CTLA-4 checkpoints and with its ligand, HVEM, across diverse solid cancers.

e14641 Background: B and T lymphocyte attenuator (BTLA) is an immune checkpoint that is highly expressed on tumor-specific T cells and has been shown to be upregulated in several cancer types. The binding of BTLA to its ligand herpesvirus entry mediator (HVEM, also known as TNFRSF14) inhibits activation and proliferation of T lymphocytes, leading to decreased tumor killing. Early clinical trials of BTLA inhibitors are ongoing with preliminary results showing modest effects in advanced solid tumors. More recent clinical data suggests that combination checkpoint therapy with anti-BTLA and anti-PD-1 treatment provides greater benefit compared to monotherapy in patients with lymphoma. Methods: We analyzed RNA expression levels of 397 genes in various solid tumor types from 514 patients with various types of solid tumors seen at University of San Diego (UCSD), Moores Cancer Center. RNA expression was quantified at a CLIA-approved laboratory Omniseq (https://www.omniseq.com). Transcript abundance was normalized to internal housekeeping gene profiles and ranked (0-100 percentile) in a standardized manner to a reference population of 735 tumors spanning 35 histologies. We analyzed tumors with “High” (75-100 percentile rank) BTLA expression profiles. Odds ratio for high BTLA expression was calculated and multivariate analysis was utilized to determine significant correlations for multiple genes. Results: A total of 96 (18.7%) tumors had high BTLA (>75) expression across 32 different histologies. Cancers with the highest proportion of BTLA expression were small intestine (42%), breast (31%), pancreatic (29%), stomach (24%), neuroendocrine (20%), lung (20%), head and neck (17%) and colorectal (13%). There was significant association for BTLA and high PD-1 (p < 0.001), high CTLA-4 (p < 0.001), high PD-L2 (p = 0.05) and its ligand HVEM (p < 0.01). There was no significant association between BTLA expression and PD-L1, gender or stomach, neuroendocrine, head and neck, and lung histologies. Conclusions: High BTLA expression was found in a large number of tumor samples and significantly associated with other immune checkpoints with FDA-approved drugs. Furthermore, HVEM expression (ligand for BTLA) significantly correlates with high BTLA transcriptome levels. The BTLA/HVEM pathway has been associated with suppression of T cell-mediated anti-tumor activity and resistance to anti-PD-1 immunotherapy leading to poor clinical outcomes. The utilization of combination checkpoint therapy involving BTLA inhibitors and specific checkpoint blockade is currently being explored. Our results suggest that patient selection based on the RNA expression level of immune markers matched to corresponding immunotherapy agent, rather than a population-based approach, may be ideal for optimizing treatment response.

Comprehensive profiling of clock genes expression in hepatocellular carcinoma (HCC).

4108 Background: The circadian clock mechanism controls the physiological homeostasis of the liver and plays a key role in hepatocarcinogenesis. Recent evidence unveiled core clock proteins as novel therapeutic targets in cancer. Our group showed that clock regulators BMAL1 and CLOCK can promote proliferation of liver cancer cells by modulating the cell cycle checkpoint kinase Wee1. Here we further evaluated the molecular landscape of clock pathway alterations in HCC leveraging multi-platform profiling of patient tumor samples. Methods: 780 HCC tested at Caris Life Sciences (Phoenix, AZ) with WTS (Illumina NovaSeq) and NextGen DNA sequencing (NextSeq, 592 Genes and NovaSEQ, WES) were analyzed. Clock gene Score (CS) was determined using expression of core clock genes Z scores (positives of CLOCK, ARNTL, RORA/B/C and negatives of repressors CRY1/2, PER1/2/3, REVERBA/B) stratified by quartiles. xCell was used to quantify cell infiltration in the tumor microenvironment (TME). Significance was determined as P-values and adjusted for multiple testing ( q) of < .05. Gene expression profiles were analyzed for transcriptional signatures predictive of response to immunotherapy including the T cell inflamed score (TIS) and IFG score. Real world survival was obtained from insurance claims data and Kaplan-Meier estimates were calculated for comparison. Results: CS was higher in metastatic sites than primary tumors (median transcripts per million [TPM]: 0.81 vs 0.37, P < .05). No significant differences in patient age and sex were observed between CS Q1 (lowest) and Q4 (highest) cohorts, although a trend towards a higher frequency of males was observed in Q4 (76% vs 68%, Q4 vs Q1, P = .07). CS was positively associated with telomerase subunit TERT mutations (64% vs 52%, Q4 vs Q1, P = .04) and negatively correlated with FGF3 copy number amplification (2% vs 6%, P = .04) and WEE1 gene expression (median TPM: 15 vs 28, q < .05). No dMMR/MSI-H tumors were observed in our series and there were no significant associations with tumor mutational burden and PD-L1 protein expression. Expression of immune related genes was lower in tumors with high CS, including IDO1, CD80, PD-L1, LAG3, CD86, TIM3, PD-1 and PD-L2 (fold change: 0.57-0.67 q < .05). NK cell infiltration in the TME and the TIS score were also significantly lower in CS-high HCC ( q < .05). Individually, lower CLOCK and CRY1 tumor mRNA expression were associated with longer OS (Q1 vs Q4: CLOCK HR 0.71, 95%CI [0.51-0.98], P = .04 and CRY1 HR 0.70 [0.51-0.95], P = .02, respectively). Conclusions: This is the most extensive profiling study to investigate the expression of clock genes in HCC. Our data show that clock genes expression impacts patient survival and is associated with alterations in immune-related gene expression and TIS score which suggest a role in the modulation of anti-tumor immunity. These results support the clock pathway role as a oncogenic driver and its potential as a therapeutic target in HCC.

A risk signature of ubiquitin-specific protease family predict the prognosis and therapy of kidney cancer patients

Ubiquitin-specific proteases (USPs) are closely related to protein fate and cellular processes through various molecular signalling pathways, including DNA damage repair, p53, and transforming growth factor-β (TGF-β) pathways. In recent years, increasing evidence has revealed the pivotal role of ubiquitination in tumorigenesis of KIRC. However, USPs' molecular mechanism and clinical relevance in kidney cancer still need further exploration. Our study first determined prognosis-related ubiquitin-specific proteases (PRUSPs) in KIRC. We found these genes co-expressed with each other and might regulate different substrates. Based on the USPs' expression, the PRUSPs risk signature was constructed to predict the survival probability of KIRC patients. The patients in high-PRUSPs-risk group showed a low survival rate. ROC and calibration curve indicated a discriminate capacity of the signature, and uni-/multi-variate Cox regression analysis revealed that the PRUSPs score is an independent prognostic factor. In different KIRC clinical subgroups and external validation cohorts (including E-MTAB-1980 and TCGA-KIRP cohorts), the PRUSPs risk signature showed strong robustness and practicability. Further analysis found that high-risk group showed activation of immune-related pathways and high PD-1/CTLA4 expression, revealing that high-risk patients might be sensitive to immunotherapy. In summary, we constructed the USPs risk signature to predict kidney cancer prognosis, which provided the theoretical foundation for further clinical or pre-clinical experiments.

The Upper Respiratory Tract Exhibits Reduced Interferon Response that Contributes to Limited CD8 +T Cell Recruitment and Delayed Clearance of Human Metapneumovirus

Abstract Human metapneumovirus (HMPV) is a leading cause of acute upper and lower respiratory infections. Although nearly everyone is infected during early childhood, re-infections occur often, highlighting difficulty in building long-term immunity. We employed a mouse model of HMPV infection to elucidate differences in upper and lower tract immune responses, and address why upper airway infection does not establish durable protective immunity. We found HMPV burden was higher in nasal airways and exhibited delayed clearance compared to lung. Additionally, there was low nasal expression of antiviral interferons (IFN) and inflammatory cytokines. Key innate immune cells, including macrophages, monocytes, and dendritic cells, were present in the nose at baseline but were not upregulated by infection. We previously showed HMPV-specific lung CD8 +T cells (T CD8) are impaired, exhibiting sustained high PD-1 levels and reduced functionality. Despite higher HMPV viral load, there were few HMPV-specific nasal T CD8and they did not exhibit impairment. To test whether low nasal IFN led to this phenotype, we administered type I IFN in an upper airway-restricted fashion early post-infection. This led to lower HMPV nose titers, increased cell number, higher PD-1 expression, and reduced functionality in HMPV-specific nasal T CD8. Despite the subdued nasal immune response, intranasal vaccination with a small-volume HMPV dose elicited modest reduction of lung and nose titers on challenge but no improvement in clinical disease. Our findings reveal a quiescent nasal immune landscape despite high HMPV burden that contributed to slow clearance and was modulated, in part, by low IFN expression. Supported by NIH R01 AI085062-06 (JVW), T32 AI138954-4 (JS), and UPMC Children's Hospital of Pittsburgh Research Advisory Council Graduate Fellowship (JS).

Investigation of the PD-1/PD-L1 Expression in the Lesional Skins of Patients With Psoriasis.

Psoriasis is an immune-mediated, chronic and inflammatory disease whose pathogenesis is affected by the interactions of several immune cells and cytokines. PD-1 is an inhibitor receptor that is expressed to a large extent in T lymphocytes and responsible for regulating autoimmunity and self-tolerance. In this study, we aimed to investigate the expression of PD-1/PD-L molecules in the lesioned skins of psoriasis patients. The study included 30 psoriasis patients, and 15 healthy volunteers as the control group. Anti PD-1 and PD-L1 antibodies were applied to the skin biopsy samples that were collected from the patient and control groups. Cytoplasmic and membranous staining of PD-1 and PD-L1 were considered positive. The number of stained immune cells that was examined for each case. The percentage of the tissues with high PD-1 (+) and PDL-1 (+) immune cell counts were significantly higher in the psoriasis patients compared to healthy controls (P values = 0.004 and 0.002, respectively). A negative and statistically significant correlation was detected between PDL-1(+) immune cell numbers and PASI scores (P = 0.033, r=-0.57). In the lesioned skin samples of psoriasis patients, the PD-1 and PD-L1 expressions were significantly higher in immune cells than that in the skin samples of the healthy controls. This study was the first investigation of the expression of PD-1/PD-L molecules in the immune cells in found the lesioned skins of psoriasis patients.

Tumor-Derived PD-L1+ Exosomes with Natural Inflammation Tropism for Psoriasis-Targeted Treatment.

Psoriasis is a chronic inflammatory disease whose etiology is directly related to the dysregulation of cutaneous immune homeostasis. However, how to finely modulate the skin immune microenvironment to restore homeostasis remains an important challenge. Inspired by the natural attribute of tumor exosomes in the immune escape, the tumor-derived exosomes as an active targeting nanoplatform for the effective treatment of inflammatory skin disorder were first reported. As keratinocytes and immune cells express high PD-1 during the onset of psoriasiform skin inflammation, the PD-L1-positive exosomes derived from melanoma cells carrying pristimerin with extremely anti-inflammatory potential were yielded to treat psoriasis. The PD-L1+ exosomes carrying pristimerin were characterized, and the cellular uptake was performed to evaluate the PD-1 target capability. The anti-inflammatory action of PD-L1+ exosomes carrying pristimerin was observed in both in vitro and in vivo models of psoriasis. Our exosomes substantially increased pristimerin uptake with CD4+ T cells and keratinocytes, significantly inhibited the proliferation of Th17 cells, and promoted Treg differentiation in a psoriasis-like model. Obviously, PD-L1+ exosomes carrying pristimerin significantly and safely reversed imiquimod (IMQ)-induced psoriasis in mice, indicated by reducing epidermal thickness, decreasing plaque formation, and suppressed excessive inflammatory response, due to its dual targeting of both CD4+ T cells and keratinocytes gathering around the lesion. The inflammatory cell infiltration and pro-inflammatory cytokine production in psoriasis were suppressed by our engineered exosomes. Besides, PD-L1+ exosomes carrying pristimerin treatment alleviated ferroptosis-related changes in psoriatic skin, thereby dampening excessive inflammation and, in turn, decreasing the abnormal proliferation of keratinocytes in psoriatic lesions. This study demonstrates that our engineered exosomes can not only act as a treat-to-target strategy for psoriasis treatment but also provide insight in clinical application of inflammatory disorders.

Abstract 6787: Vaccinia virus harboring TRAIL (vTRAIL) for in vivo lung cancer therapy

Abstract While oncolytic virotherapy has shown promising results for uncured patients with cancer, its effects on lung cancer remain unclear. Lung cancer is mostly unlikely to respond to conventional anticancer drug, therefore, oncolytic virotherapy can be the best option. Herein, we evaluated the anti-cancer activity of the previously developed three oncolytic vaccinia viruses encoding TNF-related apoptosis-inducing ligand (TRAIL), angiopoietin 1 (Ang1) and both genes, especially on killing lung cancer (LC). In this study, we confirmed that our engineered vaccinia viruses showed overall higher anti-cancer activity on lung cancer cells, compared to WT. Vaccinia virus engineered with both Ang1 and TRAIL (vTRAN) showed the highest oncolytic activity and selectivity in vitro (WT < vTRAIL < vAng1 < vTRAN). However, In vivo LLC1 murine lung cancer syngeneic model showed highest attenuated tumor growth when vTRAIL was treated (WT < vAng1 < vTRAN < vTRAIL), which was in accordance with CD8 high PD1 low expression levels in the tissues. It concludes that engineered vaccinia virus harboring TRAIL (vTRAIL) is the promising therapeutic option for in vivo lung cancer therapy. Citation Format: So Young Yoo. Vaccinia virus harboring TRAIL (vTRAIL) for in vivo lung cancer therapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6787.

Abstract 5204: Preclinical models for translational immuno-oncology research: Rare patient-derived xenografts on humanized mice

Abstract Background The preclinical evaluation of novel immune checkpoint modulators is dependent on models with functional human immune cells. In previous experiments, we have demonstrated, that we can use either peripheral blood mononuclear cells (PBMC), subset of immune cells like NK cells or hematopoietic stem cells (HSC) to establish a humanized immune system on highly immunodeficient 1st and 2nd generation NOG mice with functional T-, B-, and NK cells, as well as monocytes and dendritic cells. Furthermore, we determined PD-L1 expression as a predictive marker and target for immunotherapy on different patient-derived xenografts (PDX). By co-transplantation of rare PDX, like leukemia or Nuclear-protein-in-testis (NUT) carcinoma, we successfully generated a fully human tumor-immune-cell model in mice. Finally, we evaluated the functionality of the model by the treatment with checkpoint inhibitors like Ipilimumab (Ipi), Nivolumab (Nivo) or Pembrolizumab (Pembro). In parallel, we investigated the functionality of the human immune cells and evaluated concepts for combination therapies i.e. with chemotherapy or radiation. Methods HSC-humanized mice were generated by i.v. HSC transplantation and engraftment of immune cells was monitored by FACS analysis. For PBMC-humanized mice, immune cells were implanted i.v.. PDX models from different entities (leukemia or NUT carcinoma) were transplanted on HSC-humanized (HIS) mice and treated with Ipi, Nivo and Pembro alone or in combination with radiation. Blood and tumor samples were analysed by FACS for immune cell infiltration and activation. Results The transplanted HSC showed engraftment in mice with proliferation and differentiation. 14 weeks after HSC inoculation up to 20% of the human immune cells in the blood were T-cells, characterized by a high PD-1 expression. We have transplanted PDX from different tumor entities on HSC-humanized mice. Most of the investigated PDX (>70%) successfully engrafted on humanized mice and showed no significant difference in tumor growth compared to growth on non-humanized mice. However, for some PDX we observed a delayed tumor growth or a complete rejection. Engraftment delay seems to correlate with the PD-L1 expression of PDX (the higher PD-L1, then the higher growth delay). Furthermore, our results demonstrate the functionality of the engrafted human immune cells against some PDX. Treatment with Ipi, Nivo or Pembro led to a minor tumor growth delay. Response to checkpoint inhibitors showed a correlation to innate immune response and PD-L1 expression of PDX and could further be increased by combination with radiotherapy. Conclusions Our humanized immune-PDX models enable appropriate preclinical translational research on tumor immune biology and the evaluation of new therapies and combinations, as well as the identification and validation of biomarkers for immune therapy, especially in rare PDX models. Citation Format: Maria Stecklum, Annika Wulf-Goldenberg, Bernadette Brzezicha, Wolfgang Walther, Jens Hoffmann. Preclinical models for translational immuno-oncology research: Rare patient-derived xenografts on humanized mice. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5204.

MP14-15 MACROPHAGES AND REGULATORY T-CELLS AS PROGNOSTIC FACTORS IN PATIENTS WITH UROTHELIAL MUSCLE-INVASIVE BLADDER CANCER

You have accessJournal of UrologyCME1 Apr 2023MP14-15 MACROPHAGES AND REGULATORY T-CELLS AS PROGNOSTIC FACTORS IN PATIENTS WITH UROTHELIAL MUSCLE-INVASIVE BLADDER CANCER Florestan Koll, Severine Banek, Luis Kluth, Jens Köllermann, Andreas Weigert, Felix Chun, Peter Wild, and Henning Reis Florestan KollFlorestan Koll More articles by this author , Severine BanekSeverine Banek More articles by this author , Luis KluthLuis Kluth More articles by this author , Jens KöllermannJens Köllermann More articles by this author , Andreas WeigertAndreas Weigert More articles by this author , Felix ChunFelix Chun More articles by this author , Peter WildPeter Wild More articles by this author , and Henning ReisHenning Reis More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003234.15AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The prognosis of muscle-invasive urothelial bladder cancer (MIBC) is poor and response rates to systemic therapy are insufficient. Infiltration of tumors by immune cells has been described to be associated with response rates to immune- and chemotherapy and patient’s outcome. However, tumor-associated macrophages (TAMs) are abundant in many tumors and can promote cancer progression. In this study we evaluate different subsets of immune cells in the tumor microenvironment (TME) as predictors of prognosis in MIBC and survival rates with adjuvant chemotherapy. METHODS: We used multiplex immunohistochemistry (IHC) to quantify and characterize immune, tumor and stroma cells: double negative T-cells (CD3+CD4-CD8-); T-helper cells (CD4+); cytotoxic T-cells (CD8+); PD-1 positive T-cells; macrophages (CD163+); regulatory T-cells (Tregs; FoxP3+)); fibroblasts (Vimentin+); immune cells (CD45+); tumor cells (panCK+); PD-L1 positive tumor cells; proliferating immune cells (CD45+Ki67+); proliferating tumor cells (panCK+Ki67+). Analysis was performed in 101 MIBC patients receiving radical cystectomy. Uni- and multivariate Cox regression were used to identify cell types that predict prognosis. Patients were divided into three clusters for their macrophage and Treg infiltration. RESULTS: High Treg infiltration was associated with better overall survival (OS) (HR 0.1, 95% CI 0.01-0.7; p=0.03) and high macrophage infiltration was associated with decreased OS (HR 10.9, 95% CI 2.8-40.5; p=0.0004) in the multivariate Cox-regression model adjusting for tumor stage, lymph node status and application of adjuvant chemotherapy. The cluster with high Treg concentration was also enriched for other immune cells and cells showed high PD1 and PD-L1 expression. Patients in the cluster with high macrophage concentration had the worst OS also when adjuvant chemotherapy was given. We validated the findings using standardized IHC for CD163 as a macrophage marker using a digital analysis software in 141 patients. CONCLUSIONS: In MIBC high macrophage concentration is an independent predictor of poor prognosis. High levels of Tregs are associated with other immune cells in the TME which might lead to better survival rates. Using routine IHC for TAMs (CD163) should be prospectively validated to confirm findings and to evaluate the predictive value for response to systemic therapies. Source of Funding: Deutsche Krebshilfe (German Cancer Aid). Wilhelm-Sander Foundation. Hessen State Ministry for Higher Education, Research and the Arts © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e188 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Florestan Koll More articles by this author Severine Banek More articles by this author Luis Kluth More articles by this author Jens Köllermann More articles by this author Andreas Weigert More articles by this author Felix Chun More articles by this author Peter Wild More articles by this author Henning Reis More articles by this author Expand All Advertisement PDF downloadLoading ...

Paeonol inhibits melanoma growth by targeting PD1 through upregulation of miR-139-5p

The abnormal immune response mediated by malignant melanoma is related to PD1. Paeonol has pharmacological antitumor activity. Previous studies have indicated that paeonol induces tumor cell apoptosis, but its underlying mechanism in tumor immunity remains unknown. In this study, malignant melanoma was established in normal and thymectomized mice to determine the important role of the thymus in the antitumor effects of paeonol. Paeonol-treated thymocytes were cocultured with melanoma cell spheres to further evaluate the regulatory role of thymocytes in tumor immune dysfunction. Studies have shown that PD1 may be targeted by miR-139–5p. Our results revealed that tumor-induced thymic atrophy was significantly accompanied by high PD1 expression and low miR-139–5p expression. Interestingly, paeonol significantly reversed thymic atrophy and largely protected thymocytes against low PD1 expression and high miR-139–5p expression. Dual-luciferase assays indicated that miR-139–5p interacted with the 3′ untranslated region (3′-UTR) of PD1. These results showed that paeonol alleviates PD1-mediated antitumor immunity by reducing miR-139–5p expression and demonstrated a novel mechanism for melanoma immunotherapy.

Abstract P5-02-38: Leptin receptor (Ob-R)/leptin axis significantly modulates tumour-infiltrating lymphocytes (TILs) and PD-1 expression in early HER2+ breast cancer (BC) emerging as a new surrogate marker for immunotherapy

Abstract Leptin receptor (Ob-R)/leptin axis significantly modulates tumour-infiltrating lymphocytes (TILs) and PD-1 expression in early HER2+ breast cancer (BC) emerging as a new surrogate marker for immunotherapy. Background: There is strong pre-clinical evidence that obesity produces T-cell dysfunction and high PD-1 expression resulting in a paradoxical benefit from immunotherapy. This effect is driven, at least in part, by leptin that exerts its action through binding Ob-R, which is known to be highly expressed in HER2+ BC. TILs correlate with pathological response and long-term outcomes in BC; however the precise mechanism by which these T-cells are activated in and around tumour remains partially unknown. The primary aim of this study was to investigate the role of Ob-R/leptin axis in modulating TILs and PD-1 expression and its effect in pathological response in early HER2+ BC patients who have received neoadjuvant systemic treatment (NST). Methods: Women with HER2+ BC receiving anti-HER2-based NST followed by surgical resection were evaluated. Patient’s height and weight were measured before NST to calculate the body mass index (BMI). Based on the IHC results in diagnostic biopsy, tumors were categorized as HER2+/HR+ and HER2+/HR-. Ob-R expression was routinely measured in the diagnostic biopsy using the BOND RX Research Platform (Leica Biosystems). The Ob-R was classified as over-expressed if there were more than 50% positive cells with weak or strong staining. TILs and PD-1 expression were scored centrally in pre-treatment biopsy. TILs were considered as binary, < 30.0% versus ≥30.0% and PD-1 positive (>1%). Associations with pathological complete response (pCR; ypT0/isN0) were assessed using chi-squared or Wilcoxon test. Results: Of the 74 HER2+ BC patients included in the study, 47 (63.5%) had over-expression of Ob-R, 26 (35.1%) were overweight/obese (BMI ≥25kg/m2), and 42 (56.8%) had pCR status. Ob-R expression was similar regardless of menopausal status, age or HR expression. Patients with Ob-R overexpressed were 21 (80.8%) of 26 with BMI ≥25kg/m2 versus 26 (54.2%) of 48 with BMI < 25Kg/m2 (p=0.023). Tumors with Ob-R overexpressed had significantly higher mean levels of TILs than those with non-overexpressed Ob-R (21.4% [IQR, 7.5-30] vs 12.4% [IQR, 5-10]; p=0.009). Despite higher rates of TILs, the rate of pCR in Ob-R overexpressed tumours (57.4% [27 of 47 patients]) was not higher than in non-overexpressed tumours (55.6% [15 of 27 patients]; p=0.874). This could be due to the fact that Ob-R-overexpressed tumours had a significant higher median PD-1 expression than Ob-R-negative tumours (2% [IQR, 0.5-7.5] vs 0% [IQR, 0-1]; p< 0.001). Finally, no differences were found in terms of Ob-R expression and pathological response by hormone receptor expression. Conclusions: This multidisciplinary clinical study decodes for the first time how obesity, through the OB-R/leptin axis, might activate TILs but apparently dysfunctional as it is not translated into higher pCR; probably due to the presence of exhausted features such as high PD-1 expression. The role of Ob-R together with PD-1 as a potential biomarker for immunotherapy should be further explored. Citation Format: Laura García-Estévez, Adela Fernández, José Palacios, Miguel Sampayo, Isabel Calvo, Eva Díaz, Marta González, Belén Pérez-Míes, Silvia González, José Manuel Pérez-García, Javier Cortés, Gema Moreno-Bueno. Leptin receptor (Ob-R)/leptin axis significantly modulates tumour-infiltrating lymphocytes (TILs) and PD-1 expression in early HER2+ breast cancer (BC) emerging as a new surrogate marker for immunotherapy. [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P5-02-38.

Functional Engagement of the PD-1/PD-L1 Complex But Not PD-L1 Expression Is Highly Predictive of Patient Response to Immunotherapy in Non-Small-Cell Lung Cancer.

In many cancers, the expression of immunomodulatory ligands leads to immunoevasion, as exemplified by the interaction of PD-L1 with PD-1 on tumor-infiltrating lymphocytes. Profound advances in cancer treatments have come with the advent of immunotherapies directed at blocking these immuno-suppressive ligand-receptor interactions. However, although there has been success in the use of these immune checkpoint interventions, correct patient stratification for these therapies has been challenging. To address this issue of patient stratification, we have quantified the intercellular PD-1/PD-L1 interaction in formalin-fixed paraffin-embedded tumor samples from patients with non-small cell lung carcinoma, using a high-throughput automated quantitative imaging platform (quantitative functional proteomics [QF-Pro]). The multisite blinded analysis across a cohort of 188 immune checkpoint inhibitor-treated patients demonstrated the intra- and intertumoral heterogeneity of PD-1/PD-L1 immune checkpoint engagement and notably showed no correlation between the extent of PD-1/PD-L1 interaction and PD-L1 expression. Importantly, PD-L1 expression scores used clinically to stratify patients correlated poorly with overall survival; by contrast, patients showing a high PD-1/PD-L1 interaction had significantly better responses to anti-PD-1/PD-L1 treatments, as evidenced by increased overall survival. This relationship was particularly strong in the setting of first-line treatments. The functional readout of PD-1/PD-L1 interaction as a predictive biomarker for the stratification of patients with non-small-cell lung carcinoma, combined with PD-L1 expression, should significantly improve the response rates to immunotherapy. This would both capture patients excluded from checkpoint immunotherapy (high PD-1/PD-L1 interaction but low PD-L1 expression, 24% of patients) and additionally avoid treating patients who despite their high PD-L1 expression do not respond and suffer from side effects.

Evaluation of immune exhaustion across the evolution of oligometastatic clear cell renal cell carcinoma using spatially resolved tissue immune profiling: Secondary analysis of a prospective trial.

701 Background: In patients with clear cell renal cell carcinoma (ccRCC), progressive local dysfunction in the tumor immune microenvironment (TIM) has been shown to play a significant role in clinical outcomes and response to therapy. Patients with oligometastatic ccRCC may particularly benefit from localized treatment such as radiation therapy. However, immune cell dysfunction in TIM and its influence on patient outcomes in oligometastatic ccRCC has yet to be defined. To address this unmet need we conducted spatially resolved immune profiling on longitudinally collected patient samples from our ongoing prospective phase II trial (NCT03575611) of radiation therapy in oligometastatic ccRCC. This methodology offers a unique multidimensional evaluation of TIM in relation to histological architecture. Methods: Thirty-seven FFPE tumor samples from 32 patients with ccRCC (primary, 21; oligometastatic, 16) were obtained to construct a tissue microarray (TMA) and assess tumor immune activation biomarkers using the nanoString GeoMx Digital Spatial Profiler (DSP). We used the pan-cytokeratin, CD3, CD68, and SYTO13 as morphology biomarkers to profile, in each TMA core, a panel of 49 protein immune biomarkers in each of these compartments (DSP areas of illumination/AOI): tumor (panCK+), T-cell (CD3+), and macrophage (CD68+). In addition, DSP Immunofluorescence images were used to calculate cell density, and cell-to-cell distances of T cell and Macrophage. A median of 7 AOIs (range 3-9) were assessed in each tissue. Comparisons were made between primary and metastatic tissues by Mann-Whitney test with correction false discovery rate of 1%. Regression models were used to evaluate association between protein counts within each compartment and clinical outcomes. Results: In T-cells, CD127 was significantly higher in primary ccRCC tissue (p=0.00009) while FOXP3 and LAG3 were significantly increased in oligometastatic tissue (p=0.001). Macrophages in oligometastatic tissue expressed higher CD163 and ARG1 (p=0.01 and 0.02, respectively), compared to those in primary tissue. Average distances between macrophage and the nearest T cell were significantly shorter in oligometastatic tumor tissue compared to those in primary ccRCC (22.9 vs 28.8 µm, p=0.04). Higher PD-1 (R2=0.26) with lower CD127 (R2=0.22) and CD27 (R2=0.21) expression in T cells in primary tumor predicted earlier time to first diagnosis of metastases after nephrectomy (all p<0.05). Conclusions: Spatially resolved immune profiling revealed that the TIM in metastatic tumor harbored more T cells exhibiting markers of suppression with closer spatial interaction to macrophages compared with primary tumors. Furthermore, TIM with T cell exhaustion in primary tumors predicted earlier diagnosis of metastasis after nephrectomy.