Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The activity and safety of sintilimab on high-risk ground glass opacity lesions in multiple primary lung cancer patients

ABSTRACT: Lung cancer is the second most commonly diagnosed cancer and the leading cause of cancer death worldwide, of which approximately 85% are non-small cell lung cancer (NSCLC). The overall survival (OS) of patients with advanced NSCLC was significantly prolonged with immune checkpoint inhibitors (ICIs) targeting the programmed cell death-1 (PD-1) and programmed death-ligand 1 (PD-L1) axis. For early-stage lung cancer, the 5-year survival rate for patients ranges from 80% in stage IA to 41% in stage IIIA, and many cases relapse after surgical resection. Currently, multiple clinical trials have manifested the encouraging efficacy of neoadjuvant immunotherapy in stage I-IIIA resectable NSCLC. However, the effect of immunotherapy in ultra early-stage NSCLC patients with micro-invasive or even pre-invasive lesions remains unclear. In this study, we aimed to evaluate the activity and safety of sintilimab on high-risk ground glass opacity lesions in multiple primary lung cancer patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE260770 | GEO | 2024/05/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Epigenetic prediction of response to anti-PD-1 treatment in non-small-cell lung cancer: a multicenter, retrospective analysis

Project description:Anti-programmed death-1 (PD-1) treatment for advanced non-small-cell lung cancer (NSCLC) has improved the survival of patients. However, a significant percentage of patients do not respond. We examined the use of DNA methylation profiles to determine the efficacy of anti-PD-1 treatment in stage IV NSCLC patients.

2021-06-01 | GSE115246 | GEO

Liu2023 - Predicting the efficacy of immune checkpoint inhibitors monotherapy in advanced non-small cell lung cancer: a machine learning method based on multidimensional data

Project description:Immunotherapy has improved the prognosis of patients with advanced non-small cell lung cancer (NSCLC), but only a small subset of patients achieved clinical benefit. The purpose of our study was to integrate multidimensional data using a machine learning method to predict the therapeutic efficacy of immune checkpoint inhibitors (ICIs) monotherapy in patients with advanced NSCLC.The authors retrospectively enrolled 112 patients with stage IIIB-IV NSCLC receiving ICIs monotherapy. The random forest (RF) algorithm was used to establish efficacy prediction models based on five different input datasets, including precontrast computed tomography (CT) radiomic data, postcontrast CT radiomic data, combination of the two CT radiomic data, clinical data, and a combination of radiomic and clinical data. The 5-fold cross-validation was used to train and test the random forest classifier. The performance of the models was assessed according to the area under the curve (AUC) in the receiver operating characteristic (ROC) curve. Among these models(RF MLP LR XGBoost), our reproduced onnx models have better performance, especially for random forest. The response variable with a value (1/0) indicates the (efficacy/inefficacy) of PD-1/PD-L1 monotherapy in patients with advanced NSCLC

2023-07-11 | BIOMD0000001074 | BioModels

Systematic immune reprogramming via PD-1 inhibition enhances early-stage lung cancer survival.

Project description:Success of immune checkpoint inhibitors in advanced non-small cell lung cancer (NSCLC) has invigorated their use in neo-adjuvant setting for early-stage disease. However, the cellular and molecular mechanisms of the early immune responses to therapy remain poorly understood. Through an integrated analysis of early-stage NSCLC patients and a Kras-mutant mouse model, we show a prevalent programmed cell death 1/ programmed cell death 1 ligand 1 (PD-1/PD-L1) axis exemplified by increased intratumoral PD-1+ T cells and PD-L1 expression. Notably, tumor progression was associated with spatiotemporal modulation of the immune microenvironment. Importantly, PD-1 inhibition controlled tumor growth, improved overall survival, and reprogrammed tumor-associated lymphoid and myeloid cells. Depletion of T lymphocyte subsets demonstrated synergistic effects of those populations on PD-1 inhibition of tumor growth. Transcriptome analyses revealed T cell subset-specific alterations corresponding to degree of response to the treatment. These results provide insights into temporal evolution of the phenotypic effects of PD-1/PD-L1 activation and inhibition, and motivate targeting this axis early in lung cancer progression.

2018-07-26 | GSE114300 | 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

CXCL9/10-engineered dendritic cells promote T cell activation and enhances immune checkpoint blockade for lung cancer.

Project description:Immune checkpoint blockade (ICB), notably Programmed Death-1/Programmed Death-Ligand 1 (PD-1/PD-L1) inhibition, has revolutionized the treatment of non-small cell lung cancer (NSCLC). However, durable responses are only observed in a subpopulation of patients. Defective antigen presentation and an immunosuppressive tumor microenvironment can lead to deficient T-cell recruitment and ICB resistance. We evaluated in situ vaccination with CXCL9 and CXCL10-engineered dendritic cells (CXCL9/10-DC) as a novel strategy to overcome resistance to ICB using Lkb1-null murine NSCLC model. We utilized single-cell RNA-seq to evaluate alterations of immune infiltration associated with the new therapy, which combines intratumoral CXCL9/10-DC administration and PD-1 inhibition.

2023-05-22 | GSE232730 | GEO

Genome-wide expression profiling of NSCLC cancer cell lines upon miR-455-5p overexpression

Project description:Non–small-cell lung cancer (NSCLC) is the leading cause of cancer deaths worldwide due to late diagnosis and lack of effective therapies to treat metastatic disease. About one third of NSCLC patients present at diagnosis with locally advanced cancer (stage IIIA) which metastasizes ipsilateral mediastinal or subcarinal lymph nodes (N2). Neoadjuvant chemotherapy (NACT) followed by surgery is the treatment of choice for resectable N2 disease. However, the majority of patients do not respond to NACT and show persistent lymph nodal metastases and an adverse outcome. Our scant knowledge of the molecular biology of lymph node metastases (LNmets) represents a major obstacle to develop more effective therapies. Here, we investigated gene expression profile (coding and non-coding) of LNmets collected by endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) and mediastinoscopy, in two cohorts of stage IIIA patients before NACT (N=70). We discovered a microRNA expression signature in LNmets predictive of NACT response of N2 patients. Importantly, we unveiled a miR-455-5p/PD-L1 regulatory axis which drives chemotherapy resistance and impact T cell viability in NSCLC. Our data suggests the relevance of LNmets molecular profiling to predict response to NACT likewise presents strong evidences of a miRNA-based mechanism which functionally links chemotherapy response with PD-L1 regulation.

2022-12-31 | GSE193719 | GEO

Genome-wide expression profiling of mediastinal lymph nodal metastasis of stage IIIA NSCLC patients before neoadjuvant chemotherapy

2022-12-31 | GSE193707 | GEO

Circulating microRNAs as non-invasive biomarkers for early detection of non-small-cell lung cancer

Project description:Plasma samples from 100 early stage (I to IIIA) non–small-cell lung cancer (NSCLC) patients and 100 non-cancer controls were screened for 754 circulating microRNAs via qRT-PCR, using TaqMan MicroRNA Arrays. Our objective was to identify a panel of circulating microRNAs in plasma that will contribute to early detection of lung cancer.

2015-12-31 | GSE64591 | GEO

Trametinib sensitizes KRAS-mutant lung adenocarcinoma tumors to PD-1/PD-L1 axis blockade via Id1 downregulation

Project description:The identification of novel therapeutic strategies to overcome the intrinsic or acquired resistance to trametinib in mutant KRAS lung adenocarcinoma (LUAD) is a major challenge. This study analyzes the effects of trametinib in Id1, a key factor involved in the oncogenic KRAS pathway, and investigates the Id1 role in acquire resistance and synergy with immunotherapy in KRAS-driven LUAD. Restoring the antitumor immune response by blocking programmed-cell death protein 1 (PD-1) and programmed-cell death-ligand 1 (PD-L1) pathway represents a major breakthrough in non-small-cell lung cancer (NSCLC) treatment. Nevertheless, a high proportion of LUAD patients with KRAS alterations remain refractory to this therapy. Material and Methods: To explore whether MEK1/2 inhibition reduces Id1 expression, in vitro and in vivo experiments were conducted in KRAS-mutant NSCLC cells and murine models. RNAseq analysis was performed to elucidate the pathways involved in Id1 inhibition. Apoptosis and PD-L1 expression was measured by flow cytometry. Synergy of trametinib combined with anti-PD1 was investigated in KRAS-mutant LUAD mouse models. Results: Using preclinical syngeneic KRAS-mutant lung cancer mouse models, we demonstrate that trametinib synergizes with PD-1 blockade to reduce lung cancer progression and increase mice overall survival. This antitumor activity was linked to the degradation of Id1 via proteasome, and an enhanced INF-Y-mediated PD-L1 tumor cell expression in KRAS-mutant tumor cells. This effect required CD8+ T cells, boosted the intratumoral CD8+/Treg ratio, reducing the intratumoral Treg/CD4+ ratio. Conclusions: Our data may support the role of Id1 in the trametinib antitumoral effect, sustaining the mitogen-activated protein kinases (MAPK) signaling pathway involved in the trametinib acquired resistance cells and sensitizing KRAS-mutant lung tumors to PD-1 inhibitors, through PD-L1 overexpression.

2024-05-17 | GSE236258 | GEO

Differentially-expressed-transcriptome study of Non-Small Cell Lung Carcinoma

Project description:We systematically profiled the genome-wide alternative splicing events in Lung Adenocarcinoma (LUAD) and Lung Squomous Cell Carcinoma (LUSC) against Lung Control through Human Transcriptome Array2.0. Non-invasive Stage IIIA non-small cell lung cancer (NSCLC) is heterogeneous in nature which makes it difficult to predict, diagnose and prognose owing to lower 5-year survival rate and 75-85% brain or bone metastasis. Hence, we hypothesized to develop transcript-based signature to categorize Stage IIIA-NSCLC-LUAD and LUSC, as well as identify markers which could indicate towards prognosis of disease. We were able to molecularly-categorize LUAD- and LUSC-tissue more precisely through HTA array2.0.

2020-09-21 | GSE138682 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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