Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Intratumoral heterogeneity of small cell lung cancer

ABSTRACT: Small cell lung cancer (SCLC) is a highly malignant tumor with extensive genomic alterations as detected by single-region sequencing. Yet, the intratumoral heterogeneity (ITH) of SCLC remains unknown. We subjected 120 tumor samples from 40 stage I-III SCLC to multi-regional whole-exome sequencing.

INSTRUMENT(S): MGISEQ-2000

ORGANISM(S): Homo Sapiens

SUBMITTER: SYSUCC

PROVIDER: PRJEB45988 | EVA | 2021-07-02

REPOSITORIES: EVA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	merged_SNVs_indels.vcf.gz	Vcf
	merged_SNVs_indels.vcf.gz.csi	Vcf
	merged_SNVs_indels.vcf.gz.tbi	Vcf

Items per page:

1 - 3 of 3

Similar Datasets

Transcription profiling by array of mouse small cell lung cancer tumor samples

Project description:Expressionarray data for A functional role for tumor cell heterogeneity in a mouse model of Small Cell Lung Cancer

2011-02-19 | E-NCMF-37 | biostudies-arrayexpress

Microenvironment Shapes Small Cell Lung Cancer Neuroendocrine States and Presents Unique Therapeutic Opportunities

Project description:Small-cell lung cancer (SCLC) is the most fatal form of lung cancer. Intra-tumoral heterogeneity, marked by neuroendocrine (NE) and non-neuroendocrine (non-NE) cell states, defines SCLC, but the drivers of SCLC plasticity are poorly understood. To map the landscape of SCLC tumor microenvironment (TME), we apply spatially resolved transcriptomics and quantitative mass spectrometry-based proteomics to metastatic SCLC tumors obtained via rapid autopsy. The phenotype and overall composition of non-malignant cells in the tumor microenvironment (TME) exhibits substantial variability, closely mirroring the tumor phenotype, suggesting TME-driven reprogramming of NE cell states. We identify cancer-associated fibroblasts (CAF) as a crucial element of SCLC TME heterogeneity, contributing to immune exclusion, and predicting an exceptionally poor prognosis. Together, our work provides the first comprehensive map of SCLC tumor and TME ecosystems, emphasizing their pivotal role in SCLCs adaptable nature, opening possibilities for re-programming the intercellular communications that shape SCLC tumor states.

2024-05-15 | PXD052033 | Pride

Single cell RNA sequencing analysis of freshly resected non-small cell lung carcinoma (NSCLC) tissues

Project description:Lung cancer is the leading cause of cancer-related deaths world-wide. ~85% of lung carcinomas are non–small cell lung carcinoma (NSCLC). Tumor cell heterogeneity is very poorly defined. However, it is known to be important for tumor response to cancer therapy and cancer agressivenes. We subjected three NSCLC tumors resected from different patients to Drop-seq in order to 1) elucidate the capability of scRNA-seq analysis in identifying different tumor cell populations; and 2) ascertain the clinical value of the genes which distinguish cancer cells from other cells in the tissue. As anticipated, the tissue composition of independently collected samples varied. Despite deficient populations in some samples, both donor and patient samples contributed to the majority of cell populations. However, cancer cells were all patient-specific. These findings emphasize the utility of single cell gene expression data in identification of tumor cell populations. The collected data might be further used for predicting of drugs specific to the biology of activated pathways and patient outcome.

2020-12-19 | GSE148466 | GEO

Tumor heterogeneity underlies differential cisplatin sensitivity in mouse models of small cell lung cancer

Project description:SCLC is the most aggressive subtype of lung cancer characterized by a remarkable response to chemotherapy followed by development of resistance. Mechanisms of initial sensitivity and of subsequent resistance are not understood. Here we highlight a broad tumor heterogeneity in mouse models of SCLC, which includes a CDH1 high primary cisplatin-resistant peripheral neuroendocrine lesion with unique metabolic and structural profile. Cisplatin treatment preferentially eliminates CDH1 negative secondary tumor leaving behind CDH1 high primary lesions, thus revealing a striking differential response. We profile global protein and messenger RNA levels in vehicle and cisplatin treated lung tumor populations and find a marked reduction in proliferation and a pronounced metabolic shift following cisplatin-treatment. Our proteo-transcriptomic analysis gives insight into gene expression alterations that characterize cisplatin resistance and uncovers potential novel targets to overcome resistance of distinct populations. SCLC tumors in the mouse show heterogeneity which appears, as might be the case in humans, to be one of the underlying mechanisms of differential sensitivity to cisplatin.

2019-11-12 | PXD010680 | Pride

Shotgun proteomics of lung tumors and normal tumor-adjacent tissue of non-small cell lung cancer patients

Project description:Lung tumors, as well as normal tumor-adjacent (NTA) tissue of non-small cell lung cancer (NSCLC) patients, were collected and subjected label-free quantitation shotgun proteomics in data-independent mode to identify differences between the tumors and adjacent tissue. By employing in-depth proteomics, we identified several pathways that are up- or downregulated in the tumors of non-small cell lung cancer patients.

2023-11-27 | PXD046998 | Pride

The immunopeptidome landscape associated with T cell infiltration, inflammation and immune-editing in lung cancer

Project description:One key barrier to improving efficacy of personalized cancer immunotherapies that are dependent on the tumor antigenic landscape remains patient stratification. While patients with CD3+CD8+ T cell inflamed tumors typically show better response to immune checkpoint inhibitors, it is still unknown if the repertoire of HLA bound peptides presented in highly inflamed and non-inflamed tumors is substantially different. We surveyed 61 tumor regions and adjacent non-malignant lung tissues from eight lung cancer patients and performed deep antigen discovery combining immunopeptidomics, genomics, bulk and spatial transcriptomics and explored the heterogeneous expression and presentation of tumor (neo)antigens. Here we associated diverse immune cell populations with the immunopeptidome in CD3+CD8+ T cell excluded, infiltrated, highly- and lowly-inflamed tumors. We found evidence for lower immune-editing and higher presentation efficiency of tumor-associated antigens in lowly-inflamed and CD3+CD8+ T cell excluded tumors. This could have implications for the choice of combination therapies tailored to the patient’s mutanome and microenvironment.

2023-03-21 | PXD034772 | Pride

Transcription profiling of mouse lung tumor tissue from TI-K (CCSP-rtTA;TRE-KrasV12), TI-KM (CCSP-rtTA; TRE-KrasV12; TRE-Mad2), recurrence (TI-KM) or normal lung tissue (CCSP-rtTA) reveals Mad2-induced chromosome instability leads to lung tumor relapse after oncogene withdrawal

Project description:Inhibition of an initiating oncogene often leads to extensive tumor cell death, a phenomenon known as oncogene addiction. This has led to the search for compounds that specifically target and inhibit oncogenes as anti-cancer agents. Whether chromosomal instability (CIN) generated as a result of deregulation of the mitotic checkpoint pathway, a frequent characteristic of solid tumors, has any effect on oncogene addiction, however, has not been explored systematically. We show here that induction of chromosome instability by overexpression of the mitotic checkpoint gene Mad2 does not affect the regression of Kras driven lung tumors upon Kras inhibition. However, tumors that experience transient Mad2 overexpression and consequent chromosome instability recur at dramatically elevated rates. The recurrent tumors are highly aneuploid and have varied activation of pro-proliferative pathways. Thus, early CIN may be responsible for tumor relapse after seemingly effective anti-cancer treatments. Experiment Overall Design: Lung tumor tissue from TI-K (CCSP-rtTA;TRE-KrasV12), TI-KM (CCSP-rtTA; TRE-KrasV12; TRE-Mad2), recurrence (TI-KM) or normal lung tissue (CCSP-rtTA) was subjected to RNA extraction and individual samples hybridized to array platform MOE430A 2.0 Affymetrix.

2010-01-22 | E-GEOD-19753 | biostudies-arrayexpress

In-depth proteomic analyses reveal unique subtype-specific signatures in small cell lung cancer (part I: cell pellets)

Project description:Small-cell lung cancer (SCLC) represents about 13–15% of all lung cancers and with a five-year survival rate of less than 7%, it remains one of the most lethal forms of malignant diseases. It has a very aggressive course and is characterized by extensive chromosomal rearrangements, high mutation burden, and almost universal inactivation of the tumor suppressor genes TP53 and RB1. Therefore, the vast majority of SCLC patients are diagnosed with extensive-stage disease when surgery is not feasible and the treatment options are mostly limited to cytotoxic chemotherapy (CHT) and radiation. Importantly, targeted therapies for these patients have so far failed, and the success of immunotherapy in non-SCLC (NSCLC) has not been reflected in SCLC. Although SCLC has been formerly considered as a homogeneous disease with a single morphological type, recent advances in SCLC research have led to the development of subtype-specific classifications primarily based on neuroendocrine (NE) features and unique molecular profiles. Here, we investigate the general cell line characteristics on protein level, the relationship between the RNA-based classification and the protein expression profile, and the distinct biological processes specific for each subtype.

2022-10-14 | PXD029805 | Pride

In-depth proteomic analyses reveal unique subtype-specific signatures in small cell lung cancer (part II: cell media)

2022-10-14 | PXD029821 | Pride

APOBEC mutagenesis and copy number alterations are drivers of proteogenomic tumor evolution and heterogeneity in metastatic thoracic tumors

Project description:Intratumor mutational heterogeneity has been documented in primary non-small cell lung cancer. Here, we elucidate mechanisms of tumor evolution and heterogeneity in metastatic thoracic tumors (lung adenocarcinoma and thymic carcinoma) using whole-exome and transcriptome sequencing, SNP array for copy number alterations (CNA) and mass spectrometry-based quantitative proteomics of metastases obtained by rapid autopsy. APOBEC-mutagenesis, promoted by increased expression of APOBEC3 region transcripts and associated with a high-risk germline APOBEC3 variant, strongly correlated with mutational tumor heterogeneity. TP53 mutation status was associated with APOBEC hypermutator status. Interferon pathways were enriched in tumors with high APOBEC mutagenesis and IFN- induced expression of APOBEC3B in lung adenocarcinoma cells in culture suggesting a role for the immune microenvironment in the generation of mutational heterogeneity. CNA occurring late in tumor evolution correlated with downstream transcriptomic and proteomic heterogeneity, although global proteomic heterogeneity was significantly greater than transcriptomic and CNA heterogeneity. These results illustrate key mechanisms underlying multi-dimensional heterogeneity in metastatic thoracic tumors.

2019-05-07 | PXD012845 | Pride

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