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Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies unique proteotypes associated with patient outcomes [WG-DASL]

ABSTRACT: Non-small cell lung cancer (NSCLC) death rates exceed the next 3 prevalent cancers combined; however, most NSCLC tumors lack actionable mutations. Recent studies of NSCLC and other cancers revealed profound proteome remodelling with prognostic impact that is not fully predicted by DNA or RNA analyses. These revelations portend proteome-based cancer classification and treatment. This will require model systems that recapitulate tumor proteomes and phenotypes. A subset (~35%) of the most aggressive NSCLC can form a patient-derived xenograft (PDX). We generated 137 PDX models of aggressive NSCLC, which represent the histological, genome, transcriptome, and DNA methylation features and proteome remodelling of primary NSCLC. The models indicate 3 lung adenocarcinoma and 2 squamous cell carcinoma proteotypes that are associated with different patient outcomes, protein-phosphotyrosine profiles, candidate targets, and in adenocarcinoma, distinct stromal immune features. The PDX resource will foster proteome-directed stratification and development of new treatments for aggressive NSCLC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE166998 | GEO | 2021/11/23

REPOSITORIES: GEO

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Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies unique proteotypes associated with patient outcomes [HT12v4]

Project description:Non-small cell lung cancer (NSCLC) death rates exceed the next 3 prevalent cancers combined; however, most NSCLC tumors lack actionable mutations. Recent studies of NSCLC and other cancers revealed profound proteome remodelling with prognostic impact that is not fully predicted by DNA or RNA analyses. These revelations portend proteome-based cancer classification and treatment. This will require model systems that recapitulate tumor proteomes and phenotypes. A subset (~35%) of the most aggressive NSCLC can form a patient-derived xenograft (PDX). We generated 137 PDX models of aggressive NSCLC, which represent the histological, genome, transcriptome, and DNA methylation features and proteome remodelling of primary NSCLC. The models indicate 3 lung adenocarcinoma and 2 squamous cell carcinoma proteotypes that are associated with different patient outcomes, protein-phosphotyrosine profiles, candidate targets, and in adenocarcinoma, distinct stromal immune features. The PDX resource will foster proteome-directed stratification and development of new treatments for aggressive NSCLC.

2021-11-23 | GSE166997 | GEO

Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies unique proteotypes associated with patient outcomes

Project description:We generated PDX models of aggressive NSCLC, which represent the DNA methylation features modelling of primary NSCLC

2021-11-24 | E-MTAB-10156 | biostudies-arrayexpress

Unraveling the Global Proteome and Phosphoproteome of Prostate Cancer Patient-Derived Xenografts

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2023-06-09 | MSV000092139 | MassIVE

Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies unique proteotypes associated with patient outcomes

Project description:Non-small cell lung cancer (NSCLC) is the leading cause of cancer deaths worldwide. Only a fraction of NSCLC harbour actionable driver mutations and there is an urgent need for patient-derived model systems that will enable the development of new targeted therapies. NSCLC and other cancers display profound proteome remodelling compared to normal tissue that is not predicted by DNA or RNA analyses. We generated NSCLC patient-derived xenografts (PDXs) that recapitulate the histology and molecular features of primary NSCLC. Here, we completed whole exome sequencing on 122 NSCLC PDXs.

| EGAS00001006068 | EGA

Unraveling the Global Proteome and Phosphoproteome of Prostate Cancer Patient-Derived Xenografts

2023-06-09 | MSV000092137 | MassIVE

Establishment and disease modeling of non-small cell lung cancer organoids

Project description:Purpose: The goal of this study is to establish and molecularly characterize non-small cell lung cancer (NSCLC) organoids. Generation of NSCLC organoids would provide additional preclinical models for drug screening and biomarker discovery. Methods: Patient lung tumors and previously established patient-derived xenografts (PDX) were processed to generate organoids. Total RNA was extracted and subjected to RNA-seq to examine the gene expression similarity between patient/PDX/organoid of the same model using t-SNE clustering. Results: Through RNA-sequencing, we generated TPM values of patient, PDX and organoid samples of 5 models. t-SNE analysis showed that the patient/PDX/organoid of the same models clustered together. The lung adenocarcinoma samples formed a separate cluster from the squamous cell carcinoma samples based on gene expression. Conclusions: Our study introduces the establishment of NSCLC organoids and demonstrates the gene expession similarity of the organoid model to its corresponding PDX and patient sample.

2019-11-26 | GSE119004 | GEO

Multi-omics profiling of non-small cell lung cancer patient-derived xenografts reveals proteome and phosphoproteome remodeling associated with patient outcome

Project description:131 patient-derived xenograft models were generated for non-small cell lung carcinoma and were profiled by analysis of gene copy number variation, whole exome sequence, methylome, transcriptome, proteome, and phospho(Tyr)-proteome. Proteome profiling resolved the known major histology subtypes and revealed 3 proteome subtypes (proteotypes) among adenocarcinoma and 2 in squamous cell carcinoma that were associated with distinct protein-phosphotyrosine signatures and patient survival. Proteomes of human tumor were discernible from murine stroma. Stromal proteomes were similar between histological subtypes, but two adenocarcinoma proteotypes had distinct stromal proteomes. Tumor and stromal proteotypes comprise signatures of targetable biological pathways suggesting that patient stratification by proteome profiling may be an actionable approach to precisely diagnose and treat cancer.

2021-11-24 | PXD016579 | Pride

Establishment and Characterisation by Expression Microarray of Patient Derived Xenograft Panel of Human Pancreatic Adenocarcinoma Patients

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2019-12-12 | GSE141873 | GEO

Tyrosine phosphoproteomics of patient-derived xenografts reveals ephrin type-B receptor 4 tyrosine kinase as novel therapeutic target in pancreatic cancer

Project description:Pancreatic ductal adenocarcinoma is a recalcitrant tumor with minimal response to conventional chemotherapeutic approaches. Oncogenic signaling by activated tyrosine kinases has been implicated in cancers resulting in activation of diverse effector signaling pathways. Thus, discovery of aberrantly activated tyrosine kinases is of great interest in developing novel therapeutic strategies in treatment and management of pancreatic cancer. Patient-derived tumor xenografts (PDXs) in immunodeficient mice serve as potentially valuable preclinical model as it maintain the histological and molecular heterogeneity of the progenitor human tumor. Here, we employed high resolution mass spectrometry combined with immuno-affinity purification using anti-phosphotyrosine antibodies to profile tyrosine phosphoproteome across 13 pancreatic ductal adenocarcinoma PDX models. This analysis resulted in identification of 1,219 tyrosine phosphorylated sites mapping on 724 proteins. The mass spectrometric analysis revealed widespread and heterogeneous activation of both receptor and non-receptor tyrosine kinases. Studies carried out in mice confirmed ephrin type-B receptor 4 (EphB4) as a potential therapeutic target based on the efficacy of human serum albumin-conjugated soluble EphB4 in mice bearing orthotopic xenografts. In summary, we present the comprehensive landscape of tyrosine phosphoproteome with EphB4 as a promising therapeutic target in pancreatic ductal adenocarcinoma.

2021-05-24 | PXD021729 | Pride

Multi-omics profiling of non-small cell lung cancer patient-derived xenografts reveals proteome and phosphoproteome remodeling associated with patient outcome

Project description:131 patient-derived xenograft models were generated for non-small cell lung carcinoma and were profiled at the genome, transcriptome and proteome level by analysis of gene copy number variation, whole exome sequencing, DNA methylation, transcriptome, proteome and phospho(Tyr)-proteome. At the proteome level, the human tumor and murine stroma were discernible. Tumor proteome profiling resolved the known major histological subtypes and revealed 3 proteome subtypes (proteotypes) among adenocarcinoma and 2 in squamous cell carcinoma that were associated with distinct protein-phosphotyrosine signatures and patient survival. Stromal proteomes were similar between histological subtypes, but two adenocarcinoma proteotypes had distinct stromal proteomes. Proteotypes comprise tumor and stromal signatures of targetable biological pathways suggesting that patient stratification by proteome profiling may be an actionable approach to precisely diagnose and treat cancer.

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