Whole exome sequencing from small cell lung cancer patients
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ABSTRACT:
PROVIDER: EGAS00001005087 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:To identify genomic drivers present in limited-stage small cell lung cancer (LS-SCLC); To determine the overall tumor mutational burden in LS-SCLC; To determine genomic intratumor heterogeneity (ITH) in LS-SCLC.
| EGAD00001007004 | EGA
Project description:The natural history of small cell lung cancer (SCLC) includes rapid evolution from exquisite chemosensitivity to insurmountable chemoresistance. The mechanisms underlying treatment-resistance in SCLC remain obscure due to scarcity of tissue samples following relapse. We generated circulating tumor cell (CTC)-derived xenografts (CDXs) from SCLC patients to study intratumoral heterogeneity (ITH) and its contribution to treatment resistance. To investigate this, we performed single-cell RNAseq analyses of chemo-sensitive and -resistant CDXs, as well as longitudinal analyses of CDXs and patient CTCs. We found increased ITH, heterogeneous expression of pathways known to be associated with resistance, and transcriptional diversity of either therapeutic targets or EMT genes between cellular subpopulations following treatment-resistance to either chemotherapy or targeted therapies (PARP or CHK inhibitors). Similarly, serial profiling of patient CTCs directly from blood confirmed increased ITH post-relapse, with gene expression patterns similar to a CDX from the same patient. These data suggest that treatment-resistance in SCLC is characterized by the presence of coexisting subpopulations of tumor cells with heterogeneous gene expression leading to activation of multiple, concurrent resistance mechanisms. These findings emphasize the need for drug development efforts to focus on rational combination therapies for treatment-naïve SCLC tumors to maximize the depth and duration of initial responses and counteract the rapid increase in ITH and emergence of broad therapeutic resistance.
2020-02-12 | GSE138267 | GEO
Project description:Relationship between miRNAs and SCLC have not been investigated thoroughly. Thus we design this expirment tying to find out the miRNAs involved in SCLC metastasis. We used 6 patients' serum samples,two-condition experiment. 3 of them were form extensive-stage SCLC patients, and another 3 were from limited-stage SCLC patients.
2015-04-14 | E-GEOD-67804 | biostudies-arrayexpress
Project description:Small cell lung cancer (SCLC) accounts for ~250,000 deaths worldwide each year. Acquisition of adequate tumour biopsies is challenging and liquid biopsies present the best option for patient stratification and response monitoring. We present genome-wide and targeted plasma DNA sequencing data that identifies tumour related changes in 91% of limited (LS-SCLC) and 100% of extensive stage (ES-SCLC) patients. Parallel analysis of circulating tumour cells (CTCs, by CellSearch) based on ≥ 1 CTC/7.5ml blood increased tumour detection frequencies to 98% patients (95% for LS-SCLC) where CTC count and plasma DNA readouts correlated with disease stage and overall survival (OS). Targeted plasma DNA sequencing identified potential therapeutic targets in >50% of patients. This approach will support trials of targeted therapies where improved patients outcomes are urgently required.
| EGAS00001003110 | EGA
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
Project description:Small cell lung cancer (SCLC) is the most lethal type of lung cancer, characterized by limited treatment options and rapid evolution from chemosensitivity to chemoresistance. However, the mechanisms underlying this evolution remain poorly understood. Identifying the druggable drivers and developing pharmacological strategies to overcome chemoresistance are imperative. Here, we show that Retinoid X receptor γ (RXRγ) is uniquely overexpressed in chemo-resistant SCLC tumors, and that RXRγ serves as an essential factor driving chemoresistance in SCLC. RXRγ forms phase-separated droplets with LSD1 in the nucleus, which enhances RXRγ-mediated gene transcription activity and reprograms gene expression, promoting tumor stemness and metastasis, and eventually driving SCLC chemoresistance. In turn, RXRγ antagonist disrupts RXRγ-LSD1 interaction, reducing their binding to the target gene locus, markedly suppressing the expression of the RXRγ target gene network. Finally, RXRγ antagonists strongly suppress tumor growth and metastasis and restore SCLC vulnerability to chemotherapy in multiple preclinical SCLC models, without overt toxicity, in mice. Thus, these results establish RXRγ as a key player in SCLC by phase separation and as a potential therapeutic target for this deadly disease.
2024-12-31 | GSE277738 | GEO
Project description:Small cell lung cancer (SCLC) is the most lethal type of lung cancer, characterized by limited treatment options and rapid evolution from chemosensitivity to chemoresistance. However, the mechanisms underlying this evolution remain poorly understood. Identifying the druggable drivers and developing pharmacological strategies to overcome chemoresistance are imperative. Here, we show that Retinoid X receptor γ (RXRγ) is uniquely overexpressed in chemo-resistant SCLC tumors, and that RXRγ serves as an essential factor driving chemoresistance in SCLC. RXRγ forms phase-separated droplets with LSD1 in the nucleus, which enhances RXRγ-mediated gene transcription activity and reprograms gene expression, promoting tumor stemness and metastasis, and eventually driving SCLC chemoresistance. In turn, RXRγ antagonist disrupts RXRγ-LSD1 interaction, reducing their binding to the target gene locus, markedly suppressing the expression of the RXRγ target gene network. Finally, RXRγ antagonists strongly suppress tumor growth and metastasis and restore SCLC vulnerability to chemotherapy in multiple preclinical SCLC models, without overt toxicity, in mice. Thus, these results establish RXRγ as a key player in SCLC by phase separation and as a potential therapeutic target for this deadly disease.
2024-12-31 | GSE269090 | GEO
Project description:Small cell lung cancer (SCLC) is the most lethal type of lung cancer, characterized by limited treatment options and rapid evolution from chemosensitivity to chemoresistance. However, the mechanisms underlying this evolution remain poorly understood. Identifying the druggable drivers and developing pharmacological strategies to overcome chemoresistance are imperative. Here, we show that Retinoid X receptor γ (RXRγ) is uniquely overexpressed in chemo-resistant SCLC tumors, and that RXRγ serves as an essential factor driving chemoresistance in SCLC. RXRγ forms phase-separated droplets with LSD1 in the nucleus, which enhances RXRγ-mediated gene transcription activity and reprograms gene expression, promoting tumor stemness and metastasis, and eventually driving SCLC chemoresistance. In turn, RXRγ antagonist disrupts RXRγ-LSD1 interaction, reducing their binding to the target gene locus, markedly suppressing the expression of the RXRγ target gene network. Finally, RXRγ antagonists strongly suppress tumor growth and metastasis and restore SCLC vulnerability to chemotherapy in multiple preclinical SCLC models, without overt toxicity, in mice. Thus, these results establish RXRγ as a key player in SCLC by phase separation and as a potential therapeutic target for this deadly disease.
2024-12-31 | GSE268220 | GEO
Project description:Small cell lung cancer (SCLC) is the most lethal type of lung cancer, characterized by limited treatment options and rapid evolution from chemosensitivity to chemoresistance. However, the mechanisms underlying this evolution remain poorly understood. Identifying the druggable drivers and developing pharmacological strategies to overcome chemoresistance are imperative. Here, we show that Retinoid X receptor γ (RXRγ) is uniquely overexpressed in chemo-resistant SCLC tumors, and that RXRγ serves as an essential factor driving chemoresistance in SCLC. RXRγ forms phase-separated droplets with LSD1 in the nucleus, which enhances RXRγ-mediated gene transcription activity and reprograms gene expression, promoting tumor stemness and metastasis, and eventually driving SCLC chemoresistance. In turn, RXRγ antagonist disrupts RXRγ-LSD1 interaction, reducing their binding to the target gene locus, markedly suppressing the expression of the RXRγ target gene network. Finally, RXRγ antagonists strongly suppress tumor growth and metastasis and restore SCLC vulnerability to chemotherapy in multiple preclinical SCLC models, without overt toxicity, in mice. Thus, these results establish RXRγ as a key player in SCLC by phase separation and as a potential therapeutic target for this deadly disease.
2024-12-31 | GSE268219 | GEO
Project description: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.
2021-07-02 | PRJEB45988 | EVA