The impact of mutational clonality in predicting the response to anti-PD-L1/PD-L1 in advanced urothelial cancer
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PROVIDER: EGAS00001007086 | EGA |
REPOSITORIES: EGA
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Project description:Background Skeletal morbidity in cancer patients has a major impact on quality of life and preserving bone health while improving outcomes is an important goal of modern antitumor treatment strategies. Despite their widespread use in early disease stages, the effects of immune-checkpoint inhibitors (ICI) on the skeleton are still poorly defined. Here, we initiated a comprehensive investigation of the impact of ICI on bone turnover by longitudinal assessment of bone turnover markers (BTM) in cancer patients and by validation in a novel bioengineered 3D model of bone remodeling. Methods Serum markers of bone resorption (C-terminal telopeptide, CTX) and formation (procollagen type I N-propeptide, PINP; and osteocalcin, OCN) were measured before each ICI application (PD1 inhibitors, PD1i or PD-L1 inhibitors, PD1i) for 6 months or until disease progression in patients with advanced cancer and no evidence of bone metastases. To validate the in vivo results, we evaluated osteoclast (OC) and osteoblast (OB) differentiation upon treatment with ICI. In addition, their effect on bone remodeling was assessed by immunohistochemistry, immunofluorescence and proteomics analysis in a dynamic 3D model of the bone multicellular unit (BMU). Results The longitudinal assessment of BTM revealed a significant decrease in CTX levels after 3 weeks, followed by a return to baseline levels within 3 months. In contrast, serum levels of PINP and OCN gradually increased from baseline to the last postbaseline assessment. In vitro, ICI impaired the maturation of preosteoclasts by inhibiting STAT3/NFATc1 signaling, but not JNK, ERK and AKT; while lacking any direct effect on osteogenesis. However, using our novel bioengineered 3D bone model, which enables the simultaneous differentiation of OB and OC precursor cells, we confirmed the uncoupling of the OC/OB activity upon ICI treatment by demonstrating impaired OC maturation along with increased OB differentiation. Conclusion Our study indicates that the inhibition of the PD1/PD-L1 signaling axis interferes with the OB/OC coupling of bone turnover and may potentially exert a protective effect on bone by impairing the differentiation OCs and indirectly promoting osteogenesis.
2024-05-21 | PXD047604 | Pride
Project description:The clinical success of immune-checkpoint inhibitors (ICI) in both resected and metastatic melanoma has confirmed the validity of therapeutic strategies that boost the immune system to counteract cancer. However, half of patients with metastatic disease treated with even the most aggressive regimen do not derive durable clinical benefit. Thus, there is a critical need for predictive biomarkers that can identify individuals who are unlikely to benefit with high accuracy, so that these patients may be spared the toxicity of treatment without the likely benefit of response. Ideally, such an assay would have a fast turnaround time and minimal invasiveness. Here, we utilize a novel platform that combines mass spectrometry with an artificial intelligence-based data processing engine to interrogate the blood glycoproteome in melanoma patients before receiving ICI therapy. We identify 143 biomarkers that demonstrate a difference in expression between the patients who died within six months of starting ICI treatment and those who remained progression-free for three years. We then develop a glycoproteomic classifier that predicts benefit of immunotherapy (HR=2.7; p=0.026) and achieves a significant separation of patients in an independent cohort (HR=5.6; p=0.027). To understand how circulating glycoproteins may affect efficacy of treatment, we analyze the differences in glycosylation structure and discover a fucosylation signature in patients with shorter overall survival (OS). We then develop a fucosylation-based model that effectively stratifies patients (HR=3.5; p=0.0066). Together, our data demonstrate the utility of plasma glycoproteomics for biomarker discovery and prediction of ICI benefit in patients with metastatic melanoma and suggest that protein fucosylation may be a determinant of anti-tumor immunity.
2023-05-31 | MSV000092069 | MassIVE
Project description:Despite the unprecedented success of immune checkpoint inhibitors (ICIs) as anti-cancer therapy, it remains a prevailing clinical need to identify additional mechanisms underlying ICI therapeutic efficacy and potential drug resistance. Here, using lineage tracking in cancer patients and tumor-bearing mice, we demonstrate that erythroid progenitor cells lose their developmental potential and switch to the myeloid lineage. Single-cell transcriptome analyses reveal that, notwithstanding quantitative differences in erythroid gene expression, erythroid differentiated myeloid cells (EDMCs) are transcriptionally indistinguishable from their myeloid-originated counterparts. EDMCs possess multifaceted machinery to curtail T cell-mediated anti-tumor responses. Consequently, EDMC content within tumor tissues is negatively associated with T cell inflammation for the majority of solid cancers; moreover, EDMC enrichment, in accordance with anemia manifestation, is predictive of poor prognosis in various cohorts of patients undergoing ICI therapy. Together, our findings reveal a feed-forward mechanism by which tumors exploit anemia-triggered erythropoiesis for myeloid transdifferentiation and immunosuppression.
2022-04-30 | GSE201715 | GEO
Project description:Background: The tumor cell-intrinsic function of programmed cell death-ligand 1 (PD-L1) is poorly understood. The roles of the intrinsic function of PD-L1 in interleukin (IL)-6-mediated immunosuppression and the response to immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC) were investigated. Methods: Cohorts of NSCLC patients treated with ICI and public datasets were analyzed. PD-L1-overexpressing and PD-L1-knockdown NSCLC cells were submitted to RNA-seq, in vitro analyses, ChIP-qPCR, CUT&Tag, and biochemical assays. Human myeloid-derived suppressor cells (MDSCs) sorted from peripheral blood mononuclear cells were co-cultured with NSCLC cells, and then assessed for their immunosuppressive activity on T-cells. Mouse Lewis lung carcinoma (LLC) cells with PD-L1 overexpression/or knockdown were subcutaneously injected into wild-type or PD-1-knockout C57BL/6 mice in the presence of IL-6 and/or PD-1 blockade. Results: In the ICI cohort with RNA-seq data, the IL-6/Jak/Stat3 pathway was enriched and IL-6 expression was higher in patients with no response to ICI in PD-L1-high NSCLCs. IL-6 expression in PD-L1-high NSCLCs correlated positively with MDSCs and Tregs, but negatively with cytotoxic lymphocytes. In another ICI cohort, a higher baseline serum IL-6 level was associated with poor clinical outcome after ICI therapy. PD-L1 activated Jak2/Stat3 signaling by binding to and inhibiting tyrosine phosphatase PTP1B. PD-L1 also bound to p-Stat3 in the nucleus, thus promoting the activity of p-Stat3 on the transcription of several cytokines (IL-6, TGFβ, TNFα, IL-1β) and chemokines (CXCL1, CXCL3, CXCL8). PD-L1-overexpressing NSCLC cells enhanced the migration and immunosuppressive activity of human MDSC in vitro, mediated by IL-6 and CXCL1. In both wild-type and PD-1-knockout mice, PD-L1-overexpressing mouse lung tumors were heavily infiltrated by MDSCs with high immunosuppressive function. Treg numbers were increased while the numbers of granzyme B+ or IFNγ+ CD8 T-cells decreased. These responses were shown to be mediated by IL-6 secreted from PD-L1-overexpressing tumor cells. Combined blockade of PD-1 and IL-6 was effective in tumor control and decreased MDSCs while increasing granzyme B+ or IFNγ+ CD8 T-cells. Conclusions: The tumor-cell-intrinsic function of PD-L1 contributes to immunosuppression and tumor progression by MDSCs through the IL-6/Jak/Stat3 pathway, which may serve as therapeutic target to improve ICI efficacy in patients with PD-L1-high NSCLC.
2025-01-06 | GSE285029 | GEO
Project description:Immune checkpoint inhibitors (ICI) have improved patient outcomes in hepatocellular carcinoma (HCC); however most patients do not experience durable benefit. The non-T cell-inflamed tumor microenvironment (TME), characterized by limited CD8+ T cell infiltration, reduced dendritic cell function, and low IFNγ-associated gene expression, is associated with lower likelihood of response to ICI. To nominate new therapeutic targets for overcoming ICI resistance in HCC, we conduced single cell RNAseq using 10X Genomics on 6 primary HCC tumors.
2025-06-24 | GSE292298 | GEO
Project description:Predictors of immune checkpoint inhibitor response in cancer remain elusive. From a previous phase 2 neoadjuvant immunotherapy window-of-opportunity study, we present the single-cell RNA and T cell receptor (TCR) sequencing analysis of 57 pre- and post-treatment tumor biopsies from head and neck cancer patients treated with durvalumab (anti-PD-L1) alone or with tremelimumab (anti-CTLA-4), identifying key cellular and molecular predictors of immune checkpoint inhibitor (ICI) response. Malignant cells and neutrophil senescence promote ICI response. While CXCL13+ exhausted T (Tex) cells enhance response through 4-1BB signaling, anti-CTLA-4 induces 4-1BB+ regulatory T cells (Tregs) restricting ICI efficacy. These opposing roles of 4-1BB in different cellular contexts may explain the limited benefit of combinatorial immunotherapy observed in clinical trials. We identify two subsets of tumor-reactive progenitor Tex (Tpex): ICI-responsive Tpex1 and ICI-resistant Tpex2, a subset characterized by KLRB1 and IL17R. The balance of Tpex1 and Tpex2 associates with ICI response across multiple cancers, offering insights into sustaining response. This study was registered at ClinicalTrials.gov (NCT03737968).
2025-09-02 | GSE286827 | GEO
Project description:Adaptive immune escape of tumor cells by upregulation of ligands for programmed death 1 (PD-1) has been identified as an important and targetable pathway in many cancer types. Many clinical trials have demonstrated that targeting PD-1 or its ligand PD-L1 with immune checkpoint inhibitors (ICI) can restore anti-tumor immunity and induce durable remission. In patients with non-small cell lung cancer (NSCLC), several trials have demonstrated a survival benefit with ICI in patients with metastatic and locally advanced NSCLC.Yet, most patients have primary resistance to PD-1 or PD-L1 blockade during treatment: approximately 20% of unselected patients with NSCLC achieve a partial response while 40-50% have progressive disease as best response. Understanding mechanisms of primary resistance to PD-(L)1 blockade is important in the search for potentially targetable pathways and may ultimately allow discrimination between patients that benefit from PD-(L)1 blockade and those requiring combination or other approaches. We collected PBMCs and serum samples from 35 patients with NSCLC before and during PD-1 blockade treatment with nivolumab. We analyzed differentially expressed genes in CD8+ T cells from the peripheral blood of 5 patients with partial response and 5 patients with primary progressive disease to identify mechanisms of resistance to PD-1 therapy. Cells were collected from samples taken before and after 4 weeks of treatment.
2021-03-01 | GSE111414 | GEO
Project description:Revolutionizing cancer treatment, immune checkpoint inhibitors (ICIs) have nonetheless encountered a challenge: a substantial portion of gastric cancer (GC) patients don’t respond to this therapy. This pressing issue necessitates a deeper understanding of the resistance mechanisms against ICIs and the identification of robust biomarkers that can predict patient response to ICIs from the outset of treatment. In our project, we collected GC tissue samples from 28 patients prior to their initiation of anti-programmed death 1 (PD-1) immunotherapy. Employing high-resolution mass spectrometry (MS), we conducted comprehensive protein quantification. We then proceeded to analyze the disparities in protein expression profiles, associated pathways, and the characteristics of the tumor microenvironment (TME) between responder and non-responder groups. Ultimately, our aim is to delve into the mechanisms that give rise to differential therapeutic efficacy and thereby uncover reliable biomarkers for predicting ICI response in GC patients.
2024-02-29 | PXD050228 |
Project description:Introduction: Immune checkpoint inhibitors (ICIs) have transformed lung cancer treatment, yet their effectiveness seem restricted to certain patient subsets. Current clinical stratification on the basis of programmed death ligand 1 (PD-L1) expression offers limited predictive value. Given the mechanism of action, directly detecting spatial programmed cell death protein 1 (PD1)–PD-L1 interactions might yield more precise insights into immune responses and treatment outcomes. Methods: We applied a second-generation in situ proximity ligation assay to detect PD1–PD-L1 interactions in diagnostic tissue samples from 16 different cancer types, a tissue microarray with surgically resected early-stage NSCLC, and finally diagnostic biopsies from 140 patients with advanced NSCLC with and without ICI treatment. RNA sequencing analysis was used to identify potential resistance mechanisms. Results: In the early-stage NSCLC, only approximately half of the cases with detectable PD-L1 and PD1 expression exhibited PD1–PD-L1 interactions, with significantly lower levels in EGFR-mutated tumors. Interaction levels varied across cancer types, aligning with reported ICI response rates. In ICI-treated patients with NSCLC, higher PD1–PD-L1 interactions were linked to complete responses and longer survival, outperforming standard PD-L1 expression assays. Patients who did not respond to ICIs despite high PD1–PD-L1 interactions exhibited additional expression of stromal immune mediators (EOMES, HAVCR1/TIM-1, JAML, FCRL1). Conclusion: Our study proposes a diagnostic shift from static biomarker quantification to assessing active immune pathways, providing more precise ICI treatment. This functional concept applies to tiny lung biopsies and can be extended to further immune checkpoints. Accordingly, our results indicate concerted ICI resistance mechanisms, highlighting the need for combination diagnostics and therapies.
2025-01-17 | GSE283829 | GEO
Project description:Differential responses to immune checkpoint inhibitors (ICI) may be attributed to tumor-intrinsic factors or environmental cues; however, these mechanisms cannot fully explain the variable ICI responses in different individuals. Here, we investigate the potential contribution of immunological heterogeneity with a focus on differences in T-cell receptor (TCR) repertoire to ICI responses, which has not been defined previously.
2022-10-10 | GSE214348 | GEO