Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Shanxi_SCLC

ABSTRACT: Identifying Genomic Alterations in Small Cell Lung Cancer Using the Liquid Biopsy of Bronchial Washing Fluid

INSTRUMENT(S): -

ORGANISM(S): Homo Sapiens

SUBMITTER: Beijing Geneplus Institute

PROVIDER: PRJEB43721 | EVA | 2021-08-31

REPOSITORIES: EVA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	180030624BCD_180030624BLCD.mutect2.vcf.gz	Vcf
	180030624BCD_180030624BLCD.mutect2.vcf.gz.csi	Vcf
	180030624BCD_180030624BLCD.mutect2.vcf.gz.tbi	Vcf
	180030624BCD_180030624BLSD.mutect2.vcf.gz	Vcf
	180030624BCD_180030624BLSD.mutect2.vcf.gz.csi	Vcf

Items per page:

1 - 5 of 285

Similar Datasets

Korean NSCLC Acetylome Subtype Analysis

Project description:Through multidimensional genomic/protein multiomics analysis and clinical information integration of cancer tissue samples, a prognostic method for lung cancer, including non-small cell lung cancer (NSCLC), is developed and applied to precision medical care after discovering new drug targets.

2024-11-01 | PXD053903 | JPOST Repository

Korean NSCLC Phosphoproteome Subtype Analysis

2024-11-01 | PXD053921 | JPOST Repository

Korean NSCLC Global Proteome Subtype Analysis

2024-11-01 | PXD053969 | JPOST Repository

MERLION LUNG CANCER STUDY_2_DNA

Project description:East-Asian (EA) patients with Non Small Cell Lung Cancer (NSCLC) are associated with a high proportion of non-smoking women, EGFR activating somatic mutations, and clinical responses to tyrosine kinase inhibitors. We identify copy number alterations specific to EA and Western European (WE) NSCLCs and conducted an integrative analysis using transcritomic data for identifying copy-number-driven candidate genes. Samples were hybridized to Affymetrix Genome-Wide Human SNP 6.0 arrays according to the manufacturer’s specifications in the same center.

2011-11-22 | GSE33848 | GEO

Proteogenomic characterization analysis of human large cell lung cancer

Project description:Current clinical therapy of non-small cell lung cancer depends on histo-pathological classification. This approach poorly predicts clinical outcome for individual patients. Proteogenomic characterization analysis holds promise to improve clinical stratification, thus paving the way for individualized therapy. We investigated proteogenomic characterization and performed comprehensive integrative genomic analysis of human large cell lung cancer. Here we analyzed proteomes of 29 paired normal lung tissues and large cell lung cancer, identified significantly deregulated proteins associated with large cell lung cancer.

2019-01-16 | PXD012393 |

MERLION LUNG CANCER STUDY_2_DNA

2011-11-22 | E-GEOD-33848 | biostudies-arrayexpress

Impact on Disease Development, Genomic Location and Biological Function of Copy Number Alterations in Non-Small Cell Lung Cancer

Project description:Lung cancer, of which more than 80% is non-small cell, is the leading cause of cancer-related death in the United States. Copy number alterations (CNAs) in lung cancer have been shown to be positionally clustered in certain genomic regions. However, it remains unclear whether genes with copy number changes are functionally clustered. Using a dense single nucleotide polymorphism array, we performed genome-wide copy number analyses of a large collection of non-small cell lung tumors (n = 301). We proposed a formal statistical test for CNAs between different groups (e.g., noninvolved lung vs. tumors, early vs. late stage tumors). We also customized the gene set enrichment analysis (GSEA) algorithm to investigate the overrepresentation of genes with CNAs in predefined biological pathways and gene sets (i.e., functional clustering). We found that CNAs events increase substantially from germline, early stage to late stage tumor. In addition to genomic position, CNAs tend to occur away from the gene locations, especially in germline, noninvolved tissue and early stage tumors. Such tendency decreases from germline to early stage and then to late stage tumors, suggesting a relaxation of selection during tumor progression. Furthermore, genes with CNAs in non-small cell lung tumors were enriched in certain gene sets and biological pathways that play crucial roles in oncogenesis and cancer progression, demonstrating the functional aspect of CNAs in the context of biological pathways that were overlooked previously. We conclude that CNAs increase with disease progression and CNAs are both positionally and functionally clustered. The potential functional capabilities acquired via CNAs may be sufficient for normal cells to transform into malignant cells. Copy number analysis was performed on 301 non-small cell lung cancer tumor samples using Affymetrix 250K Nsp GeneChip

2011-12-06 | E-GEOD-34140 | biostudies-arrayexpress

Homo sapiens

Project description:Small Cell Lung Cancer

| PRJNA314263 | ENA

Small Cell Lung Cancer

Project description:Small Cell Lung Cancer

| PRJNA314262 | ENA

Small cell lung cancer

Project description:Small cell lung cancer

| PRJNA672692 | ENA