Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

YAP governs intratumoral heterogeneity and chemosensitivity of small cell lung cancer [scRNA-seq]

ABSTRACT: Small cell lung cancer is the most aggressive type of lung cancer and has a high degree of plasticity, characterized by a remarkable response to chemotherapy followed by development of resistance. We show that intratumoral heterogeneity of SCLC is progressively established, indicated by the appearance of YAP+ and HES1+ SCLC tumor cells. Notch signaling is required for the generation of Non-NE SCLC cells, but not for the tumorigenesis of SCLC. Furthermore, YAP signals through Notch-dependent and independent pathway to induce REST expression to promote the conversion of NE to Non-NE SCLC tumor cells. In addition, YAP activation enhances the chemoresistance in NE SCLC tumor cells by downregulating GSDME, while inactivation of YAP in Non-NE SCLC tumor cells switches cell death from apoptosis to pyroptosis. Our study will not only provide novel insights into the molecular basis of SCLC tumorigenesis, but also the potential drug targets for SCLC therapy

ORGANISM(S): Mus musculus

PROVIDER: GSE161741 | GEO | 2021/06/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

YAP governs intratumoral heterogeneity and chemosensitivity of small cell lung cancer [bulk RNA-seq]

Project description:Small cell lung cancer is the most aggressive type of lung cancer and has a high degree of plasticity, characterized by a remarkable response to chemotherapy followed by development of resistance. We show that intratumoral heterogeneity of SCLC is progressively established, indicated by the appearance of YAP+ and HES1+ SCLC tumor cells. Notch signaling is required for the generation of Non-NE SCLC cells, but not for the tumorigenesis of SCLC. Furthermore, YAP signals through Notch-dependent and independent pathway to induce REST expression to promote the conversion of NE to Non-NE SCLC tumor cells. In addition, YAP activation enhances the chemoresistance in NE SCLC tumor cells by downregulating GSDME, while inactivation of YAP in Non-NE SCLC tumor cells switches cell death from apoptosis to pyroptosis. Our study will not only provide novel insights into the molecular basis of SCLC tumorigenesis, but also the potential drug targets for SCLC therapy

2021-06-01 | GSE161740 | GEO

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

Microenvironment Shapes Small Cell Lung Cancer Neuroendocrine States and Presents 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 exceptionally poor prognosis. Together, our work provides a 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.

2024-05-13 | GSE267310 | GEO

Microenvironment Shapes Small Cell Lung Cancer Neuroendocrine States and Presents Therapeutic Opportunities [DMS273 SCLC cell lines]

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 exceptionally poor prognosis. Together, our work provides a 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.

2024-05-16 | GSE267560 | GEO

Cancer-cell intrinsic electrical activity drives small-cell lung cancer progression

Project description:Elevated or ectopic expression of neuronal receptors and ion channels promotes tumor progression in many cancer types; neuroendocrine (NE) transformation of various adenocarcinomas has also been associated with increased aggressiveness. Whether the defining neuronal feature, namely electrical excitability, exists in cancer cells and whether this impacts cancer progression remains mostly unexplored. Small cell lung cancer (SCLC) is an archetypical example of highly aggressive NE cancers and is comprised of two major distinct subtypes of cancer cells: NE cells and non-NE cells. Here, we show that the NE cells are excitable, like neurons, while non-NE cells cannot fire action potentials, like astrocytes and other non-excitable cells. Action potential firing in NE cells directly promotes SCLC malignancy; however, the high ATP demand of electrical activity also leads to an unusual dependency on oxidative phosphorylation (OXPHOS) in NE cells. This finding contrasts with most cancer cells reported in the literature, which are non-excitable and heavily rely on aerobic glycolysis. Additionally, we find that non-NE cells metabolically support NE cells to supply their high ATP demand, promoting their excitability and malignancy, a process akin to the astrocyte-neuron metabolite shuttle. Lastly, we observe drastic changes in the innervation landscape during SCLC progression, which coincide with increased intratumoral heterogeneity (ITH) and elevated neuronal protein expression in SCLC cells, suggesting an induction of a tumor autonomous vicious cycle driven by cancer cell-intrinsic electrical activity, which confers long-term tumorigenic capability and metastatic potential.

2024-11-07 | GSE270281 | GEO

Archetype tasks link intratumoral heterogeneity to plasticity in recalcitrant small cell lung cancer [Human tumor]

Project description:Intratumoral heterogeneity underlies cancer treatment resistance, but approaches to neutralize it remain elusive. Here, we recast heterogeneity in a systems perspective that considers cancer cell functional tasks inherited from cells of origin. We apply Archetype Analysis to bulk transcriptomics data from small cell lung cancer (SCLC), which forms tumors composed of neuroendocrine (NE) and non-neuroendocrine (non-NE) transcriptional subtypes. SCLC subtypes fit well in a 5-dimensional polytope whose vertices optimize tasks reminiscent of pulmonary NE cells, the SCLC normal counterpart, and include injury repair, slithering, and chemosensation. SCLC cells near a vertex are specialists for a task, while more distant cells are generalists, bearing gene signatures of multiple archetypes. Evolutionary theory and dynamical systems modeling suggest a division of labor strategy for adaptation to treatment, based on task trade-offs amongst specialists and generalists. Cell Transport Potential, a metric derived from single-cell RNA velocity, uncovers plasticity trends from specialists to generalists, and NE to non-NE subtypes. Transcription factor network simulations indicate that MYC overexpression increases plasticity by de-stabilizing NE subtypes. Framing heterogeneity in archetype space provides insights into transformative cancer treatments aimed at tumor cell plasticity.

2022-07-05 | GSE193960 | GEO

Archetype tasks link intratumoral heterogeneity to plasticity in recalcitrant small cell lung cancer [cell lines]

2022-07-05 | GSE193959 | GEO

mRNA expression data of Mes vs. Epi cells in mouse non-NE SCLC

Project description:Distinct mRNA populatins have been detected in Epi vs. Mes cells of mouse non-NE SCLC The aim of the study was to globally profile the differential gene expression in Mes vs. Epi cells of mouse non-NE SCLC.

2024-03-11 | GSE168709 | GEO

Rare pulmonary neuroendocrine cells are stem cells regulated by Rb, p53, and Notch

Project description:Pulmonary neuroendocrine (NE) cells are neurosensory cells sparsely distributed throughout the bronchial epithelium, many in innervated clusters of 20-30 cells. Following lung injury, NE cells proliferate and generate other cell types to promote epithelial repair. Here we show only rare NE cells, typically 2-4 per cluster, function as stem cells. These fully differentiated cells display features of classical stem cells. Most proliferate (self-renew) following injury, and some migrate into the injured area. A week later individual cells, often just one per cluster, lose NE identity (deprogram), transit amplify, and reprogram to other fates, creating large clonal repair patches. Small cell lung cancer (SCLC) tumor suppressors regulate the stem cells: Rb/p53 suppress self-renewal, whereas Notch marks the stem cells and initiates deprogramming and transit amplification. We propose that NE stem cells give rise to SCLC, and transformation results from constitutive activation of stem cell renewal and inhibition of deprogramming.

2019-10-03 | GSE136580 | GEO

scRNA-seq of triple knockout SCLC mouse models for subtyping

Project description:Small cell lung cancer (SCLC) tumors comprise heterogeneous mixtures of cell states, categorized into neuroendocrine (NE) and non-neuroendocrine (non-NE) transcriptional subtypes. NE to non-NE state transitions, fueled by plasticity, likely underlie adaptability to treatment and dismal survival rates. Here, we apply an archetypal analysis to model plasticity by recasting SCLC phenotypic heterogeneity through multi-task evolutionary theory. Cell line and tumor transcriptomics data fit well in a five-dimensional convex polytope whose vertices optimize tasks reminiscent of pulmonary NE cells, the SCLC normal counterparts. These tasks, supported by knowledge and experimental data, include proliferation, slithering, metabolism, secretion, and injury repair, reflecting cancer hallmarks. SCLC subtypes, either at the population or single-cell level, can be positioned in archetypal space by bulk or single-cell transcriptomics, respectively, and characterized as task specialists or multi-task generalists by the distance from archetype vertex signatures. In the archetype space, modeling single-cell plasticity as a Markovian process along an underlying state manifold indicates that task trade-offs, in response to microenvironmental perturbations or treatment, may drive cell plasticity. Stifling phenotypic transitions and plasticity may provide new targets for much-needed translational advances in SCLC.

2022-08-22 | GSE211751 | 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