Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE267310 | GEO | 2024/05/13

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

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 [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

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

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

Quantitative Proteomics Analysis of Extracellular Vesicles from mouse-derived SCLC cell lines

Project description:Small Cell Lung Cancer (SCLC) tumors are made up of distinct cell subpopulations, including neuroendocrine (NE) and non-NE cells. Proteomic analysis of purified small extracellular vesicles (EV) from these two cell populations were conducted.

2023-11-01 | PXD042153 | Pride

EIF6 conditions drug-tolerant persister-like transdifferentiation in small cell lung carcinoma (eIF6_KD)

Project description:Drug-tolerant persister cells withstand treatments by adapting their identity through lineage-dependent plasticity during systemic anti-cancer therapies. This phenomenon is evident in small-cell lung carcinoma (SCLC), a lethal neuroendocrine cancer initially responsive (60-80%) to platinum-based chemotherapy but succumbing to resistance within 6 months in advanced stages. This resistance associates with the transdifferentiation of residual tumour cells into a non-neuroendocrine state, a process intricately tied to SCLC's chemotolerance, yet molecular mechanisms governing this lineage conversion remain completed understood. Here we use paired cytoplasmic RNA-seq and polysomal RNA-seq to compare gene expression between NE and non-NE SCLC cell lines on both transcriptional and translational level. We report that first-line chemotherapy induces translation initiation factor eIF6 in drug-tolerant persister-like cells in SCLC, correlating with the non-neuroendocrine state in SCLC. Intervening eIF6 inhibits non-neuroendocrine transdifferentiation, thus enhancing SCLC responsiveness to chemotherapy. This study sheds light on eIF6's potential therapeutic interventions to mitigate treatment resistance in SCLC.

2024-04-30 | GSE262596 | GEO

EIF6 conditions drug-tolerant persister-like transdifferentiation in small cell lung carcinoma (SCLC cell lines)

2024-04-30 | GSE262593 | GEO

SMARCA4 controls state plasticity in small cell lung cancer through regulation of neuroendocrine transcription factors and REST splicing [ATAC-seq]

Project description:Small Cell Lung Cancer (SCLC) can be classified into transcriptional subtypes with distinct degrees of neuroendocrine (NE) differentiation. Recent evidence supports plasticity among subtypes with a bias toward adoption of low-NE states during disease progression or upon acquired chemotherapy resistance. Here, we identify a role for SMARCA4, the catalytic subunit of the SWI/SNF complex, as a regulator of subtype shift in SCLC. SMARCA4 binds to gene loci encoding NE-lineage transcription factors ASCL1 and NEUROD1 and alters chromatin accessibility, suppressing NE programs. In parallel, SMARCA4 also controls REST, a known suppressor of the NE phenotype, by regulating SRRM4-dependent REST splicing. The SMARCA2/4 inhibitor FHD-286 induces loss of NE features and drives ERBB pathway activation in SCLC, rendering SCLC tumors sensitive to afatinib. This study nominates SMARCA4 as a key regulator of the NE state plasticity and defines a novel therapeutic strategy for SCLC.

2024-08-28 | GSE256345 | GEO

SMARCA4 controls state plasticity in small cell lung cancer through regulation of neuroendocrine transcription factors and REST splicing [RNA-seq]

2024-08-28 | GSE256347 | GEO