Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Intratumoral plasma cells predict outcomes to PD-L1 blockade in non-small cell lung cancer

ABSTRACT: Inhibitors of the programmed cell death-1 (PD-1/PD-L1) signaling axis are approved to treat non-small cell lung cancer (NSCLC) patients, based on their significant overall survival (OS) benefit. Using transcriptomic analysis of 891 NSCLC tumors from patients treated with either the PD-L1 inhibitor atezolizumab or chemotherapy from two large randomized clinical trials, we found a significant B cell association with extended OS with PD-L1 blockade, independent of CD8+ T cell signals. We then derived gene signatures corresponding to the dominant B cell subsets present in NSCLC from single-cell RNA-seq data. Importantly, we found increased plasma cell signatures to be predictive of OS in patients treated with atezolizumab, but not chemotherapy. B cells were also associated with the presence of tertiary lymphoid structures and organized lymphoid aggregates. Our results suggest an important contribution of B and plasma cells to PD-L1 blockade efficacy in NSCLC.

PROVIDER: EGAS00001005013 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

Soluble immune-checkpoint factors as a complementary biomarker for PD-1 blockade reflect exhaustion of antitumor immunity

Project description:BACKGROUND. Precise stratification of patients with non–small cell lung cancer (NSCLC) is needed for appropriate application of PD-1/PD-L1 blockade therapy. METHODS. We measured soluble (s) forms of the PD-L1, PD-1, and CTLA-4 in plasma of patients with advanced NSCLC before PD-1/PD-L1 blockade. Prospective biomarker finding trial (cohort A), 50 patients with pretreated NSCLC received nivolumab. In cohort B to E, retrospective observational study, soluble immune checkpoint molecules were evaluated for patients with advanced NSCLC treated with any PD-1/PD-L1 blockade (cohort B and C), cytotoxic chemotherapy (D) or targeted therapy (E). Blood samples were obtained from all patients and soluble immune checkpoint molecules were evaluated using a highly sensitive chemiluminescence-based assay. RESULTS. Nonresponsiveness to PD-1/PD-L1 blockade therapy was associated with higher concentrations of these soluble immune factors among patients with immune-reactive (hot) tumors. Such correlation was not observed in patients treated with cytotoxic chemotherapy or targeted therapies. Integrative analysis of tumor size, PD-L1 expression in tumor tissue (tPD-L1), and gene expression in tumor tissue and peripheral CD8+ T cells revealed that high concentrations of the three soluble immune factors were associated with hyper or terminal exhaustion of antitumor immunity. The combination of sPD-L1 and sCTLA-4 efficiently discriminated responsiveness among patients with immune-reactive tumors. CONCLUSION. Combinations of soluble immune factors might be able to identify patients unlikely to respond to PD-1/PD-L1 blockade as a result of terminal exhaustion of antitumor immunity. Our data suggest such a combination might provide a biomarker complementary to tPD-L1 for NSCLC patients.

2024-03-30 | GSE242860 | GEO

High gene expression of IL8 in peripheral blood mononuclear cells from bladder cancer patients is associated with nonresponders to atezolizumab

Project description:Elevated plasma interleukin-8 (IL8) has been associated with poor outcome to immune checkpoint blockade. Here we performed single cell RNAseq with peripheral blood mononuclear cells (PBMCs) of patients treated with atezolizumab (anti-PD-L1 mAb) from bladder cancer from a Phase II trial IMvigor210. We found that high IL8 gene expression is enriched in nonresponders to atezolizumab

2020-02-14 | GSE145281 | GEO

High Response Rate to Anti PD-1 Therapy in Desmoplastic Melanoma

Project description:<p>Desmoplastic melanoma (DM) is a rare subtype of melanoma characterized by dense fibrous stroma, resistance to chemotherapy and a lack of actionable driver mutations, but is highly associated with ultraviolet light DNA damage. We analysed 60 patients with advanced DM treated with programmed cell death 1 (PD-1) or PD-1 ligand (PD-L1) blocking antibody therapy. Objective tumor responses were observed in 42 of the 60 patients (70%, 95% confidence interval 57-81%), including 19 patients (32% overall) with a complete response. Whole-exome sequencing revealed a high mutational load and frequent NF-1 mutations (14 out of 17 cases). Immunohistochemistry (IHC) analysis from 19 DM and 13 non-DM revealed a higher percentage of PD-L1 positive cells in the tumor parenchyma in DM (p = 0.04), highly associated with increased CD8 density and PD-L1 expression in the tumor invasive margin. Therefore, patients with advanced DM derive significant clinical benefit from PD-1/PD-L1 immune checkpoint blockade therapy despite being a cancer defined by its dense desmoplastic fibrous stroma. The benefit is likely derived from the high mutational burden and a frequent pre-existing adaptive immune response limited by PD-L1 expression.</p>

| phs001469 | dbGaP

ML29755 RNA-seq data

Project description:Programmed death-ligand 1 (PD-L1) expression has been associated with response to PD-1/PD-L1 inhibition, but responses are also seen in patients with PD-L1 negative tumors when assessed immunohistochemically (IHC) with various antibodies. To help elucidate these findings, we performed a positron emission tomography (PET) imaging study in human with the anti-PD-L1 antibody atezolizumab labeled with Zirconium-89 (89Zr) prior to treatment with atezolizumab to assess normal tissue distribution and evaluate tumor tracer uptake. Additionally, to help explain why some patients respond to checkpoint inhibitors despite low or absent PD-L1 expression, we compared PD-L1 expression and immune phenotypes based on both CD8 IHC and RNA sequencing of post-tracer biopsies to tumor tracer uptake (SUVmax).

2018-06-12 | GSE115594 | GEO

RNA-seq analysis of gene regulations by the combination treatment of crizotinib plus cisplatin in established MCA205 tumors

Project description:Immunogenic cell death (ICD) converts dying cancer cells into a therapeutic vaccine and stimulates antitumor immune responses. Here we unravel the results of an unbiased screen identifying high-dose (10 µM) crizotinib as an ICD-inducing tyrosine kinase inhibitor that has exceptional antineoplastic activity when combined with non-ICD inducing chemotherapeutics like cisplatin. The combination of cisplatin and high-dose crizotinib induces ICD in non-small cell lung carcinoma (NSCLC) cells and effectively controls the growth of distinct (transplantable, carcinogen- or oncogene induced) orthotopic NSCLC models. These anticancer effects are linked to increased T lymphocyte infiltration and are abolished by T cell depletion or interferon-g neutralization. Crizotinib plus cisplatin leads to an increase in the expression of PD-1 and PD-L1 in tumors, coupled to a strong sensitization of NSCLC to immunotherapy with PD-1 antibodies. Hence, a sequential combination treatment consisting in conventional chemotherapy together with crizotinib, followed by immune checkpoint blockade may be active against NSCLC.

2019-02-25 | GSE126988 | GEO

KIR Polymorphism is Associated with Primary Resistance to PD-1 Blockade in Lung Cancer

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

Transcriptomic analysis of PD-L1 positive and negative hot lung adenocarcinomas identifies a different molecular immunogenic landscape

Project description:Lung cancer is a major global health problem, as it is the leading cause of cancer- related deaths worldwide. Non-small-cell lung cancer (NSCLC), the most common form, is a heterogeneous disease with adenocarcinoma and squamous cell carcinoma being the predominant subtypes. Immune-inhibiting interaction of Programmed cell death-ligand 1 (PD-L1) with programmed cell death-protein 1 (PD-1) causes checkpoint mediated immune evasion and is, accordingly, an important therapeutic target in cancer. In NSCLC, improved understanding of PD-1/PD-L1 checkpoint blockade-responsive biology is warranted. We aimed to identify the landscape of immune cell infiltration in primary lung adeno- carcinoma (LUAD) in the context of tumor PD-L1 expression and the extent of immune infiltration (“hot” vs. “cold” phenotype). Therefore, the study comprises LUAD cases (n=138) with “hot” and “cold” tumor immune phenotype and positive and negative tumor PD-L1 expression, respectively. Tumor samples were immunohistochemically analyzed for expression of PD-L1, CD4 and CD8 and further analyzed on transcriptomic level by Nanostring nCouter Pan Cancer Immune Profiling Panel. We detected significantly differentially expressed genes associated with PD-L1 positive and “hot” versus PD-L1 negative and “cold” phenotype. The presented study illustrates novel aspects of PD-L1 regulation, with potential biological relevance, as well as relevance for immunotherapy response stratification.

2021-09-27 | GSE180347 | GEO

PD-L1 blockade-induced temporal single cell dynamics in triple negative breast cancer

Project description:Despite the progress in immunotherapies, leading immune checkpoint inhibitors are only effective in a subset of patients. The efficacy of atezolizumab, an anti-PD-L1 antibody, in triple negative breast cancer (TNBC) is limited for unknown reasons. We utilized single-cell RNA- and ATAC-sequencing to examine the dynamics of immune cells in metastatic TNBC patients treated with paclitaxel or its combination with atezolizumab. We found that paclitaxel selectively damaged tumor-reactive T cells while atezolizumab was effective in a small set of patients with high levels of baseline B cells and CXCL13+ T cells. B cells concertedly expanded with CXCL13+ T cells in responsive patients following paclitaxel plus atezolizumab treatment. Our data highlight the importance of potential tumor-reactive T cells and their orchestrators in the effective response to anti-PD-L1 therapies, and reveal drawbacks of existing clinical trials for TNBC.

2021-09-15 | GSE169246 | GEO

Gene expression profiles of PD-L1 SP142 expression in triple-negative breast cancer

Project description:The SP142 PD-L1 assay is a companion diagnostic for atezolizumab in metastatic triple-negative breast cancer (TNBC). The VENTANA SP142 assay was used to identify PD-L1 expression from TMA slides where PD-L1-positivity for an individual sample was defined as ≥1% of tumor-infiltrating immune cells as having PD-L1 expression. The PD-L1-positive gene signature consisted of 94 immune-related genes. The PD-L1-positive signature was predictive of pathologic complete response and survival outcome in multiple TNBC cohorts. In other malignancies treated with ICIs, the PD-L1-positive signature was associated with response and improved survival.

2021-07-14 | GSE157284 | GEO

Identification of clonal neoantigens derived from driver mutations in an EGFR mutated lung cancer patient benefitting from anti-PD-1

Project description:Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) have been recommended as the first line therapy for non-small cell lung cancer (NSCLC) with EGFR mutations. However, acquired resistance to EGFR-TKIs is inevitable. Although anti- programmed cell death 1 (PD-1)/PD-ligand (PD-L1) immunotherapies have achieved great clinical success as second-line treatment for many cancer types, the clinical efficacy of anti-PD-1/PD-L1 blockades in EGFR mutated NSCLC patients has been demonstrated to be obviously lower than those without EGFR mutations. Here, we reported an advanced NSCLC patient with exon 19 deletion and T790M EGFR mutation benefitting from anti-PD-1 blockade therapy after acquiring resistance to EGFR-TKI. We characterized the mutational landscape of the patient with next-generation sequencing (NGS), and successfully identified neoantigen-specific T cell clones derived from EGFR exon 19 deletion, TP53 A116T and DENND6B R398Q mutations. Our findings support the potential application of immune checkpoint blockades in NSCLC patients with acquired resistance to EGFR-TKIs in the context of specific clonal neoantigens with high immunogenicity. Personalized immunomodulatory therapy targeting these neoantigens should be explored for better clinical outcomes in EGFR mutant NSCLC patients.

2020-06-30 | GSE150972 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data