Dataset Information

Proteomic changes between primary tumors and matched distant metastases of lung adenocarcinomas

ABSTRACT: Lung cancer is the leading cause of cancer-related deaths worldwide and lung adenocarcinoma is the most common form of lung cancer. Genomic studies of lung adenocarcinoma (LUAD) have advanced our understanding of the disease's biology and accelerated targeted therapy. However, the proteomic characteristics of LUAD are still insufficiently understood. Prognosis for lung cancer patients remains poor and is strongly related to the stage of disease at the time of diagnosis. Therefore, our study focuses on metastasis formation in LUAD. We performed high-performance liquid chromatography (HPLC) and electrospray ionization tandem mass spectrometry (ESI-MS/MS) on a total of 40 FFPE samples and compared proteomic profiles of primary tumors to those of matched distant metastases. Using differential expression analysis and unsupervised clustering we identified candidate proteins playing a role in metastatic spread. Selected proteins were validated by immunoblotting. Our findings give a better understanding of tumor progression and metastasis formation in LUAD and might help to develop biomarker specific therapy.

INSTRUMENT(S): TripleTOF 5600

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Lung

SUBMITTER: Thorben Sauer

LAB HEAD: Prof. Dr. Timo Gemoll

PROVIDER: PXD042604 | Pride | 2023-11-28

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	20190614_2019-01_Lunge_10M1.wiff	Wiff
	20190614_2019-01_Lunge_10M1.wiff.scan	Wiff
	20190614_2019-01_Lunge_10P.wiff	Wiff
	20190614_2019-01_Lunge_10P.wiff.scan	Wiff
	20190614_2019-01_Lunge_11M1.wiff	Wiff

Items per page:

1 - 5 of 78

Similar Datasets

Project description:Lung cancers are a heterogeneous group of diseases with respect to biology and clinical behavior. Currently, diagnosis and classification are based on histological morphology and immunohistological methods for discrimination between two main histologic groups: small cell lung cancer (SCLC) and non-small cell lung cancer which account for 20% and 80% of lung carcinomas, respectively. NSCLCs, which are divided into the three major subtypes adenocarcinoma, squamous cell carcinoma and dedifferentiated large cell carcinoma, show different characteristics such as the expression of certain keratins or production of mucin and lack of neuroedocrine differentiation. The molecular pathogenesis of lung cancer involves the accumulation of genetic und epigenetic alterations including the activation of proto-oncogenes and inactivation of tumor suppressor genes which are different for lung cancer subgroups. The development of microarray technologies opened up the possibility to quantify the expression of a large number of genes simultaneously in a given sample. There are several recent reports on expression profiling on lung cancers but the analysis interpretation of the results might be difficult because of the heterogeneity of cellular components. The methods used for sample selection and processing can have a strong influence on the expression values obtained through microarray profiling. Laser capture microdissection (LCM) provides higher specificity in the selection of target cells compared to traditional bulk tissue selection methods, but at an increased processing cost. Here we describe the use of an expression microarray study on NSCLC samples and surrounding tissue, comparing macroscopic lung tumor and tissue samples (“grind and bind”), versus tumor and alveolar compartment cells laser capture microdissected (LCM) from the same macroscopic lung samples. In this study, a set of 31 pairs and one non-paired sample of macroscopic tumor and non-tumor samples (10 pairs and 1 non-paired sample squamous-cell carcinoma, 19 pairs and one non-paired samples adenocarcinoma, 2 pairs adeno-squamous-cell carcinoma) was selected for bulk/macro sampling. Of these 31 pairs and 2 non-paired samples, 16 pairs plus 15 non paired samples were reanalyzed using laser capture microdissection (LCM) for sampling the cells (7 pairs and 3 non-paired samples squamous-cell carcinoma, 8 pairs and 11 non-paired samples adeno carcinomas, 1 pair and 1 non paired sample Adeno-squamous-cell carcinoma). For macroscopic samples, 50 to 80 µg of tissue was used to isolate total RNA. Gene expression profile was determined using Affymetrix Human Genome Gene 1.0 ST genechip. For the LCM samples, from representative slides histologically confirmed and mapped by a pathologist, approximately 1000 cells/sample were collected by LCM;. cDNA was amplified using Nugen WT-Ovation One-Direct amplification system. Here we describe the use of an expression microarray study on NSCLC samples and surrounding tissue, comparing macroscopic lung tumor and tissue samples (“grind and bind”), versus tumor and alveolar compartment cells laser capture microdissected (LCM) from the same macroscopic lung samples.

Dataset Information

Proteomic changes between primary tumors and matched distant metastases of lung adenocarcinomas

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets