3f710b7b-3d5b-40fa-bea9-ec54272d28c2 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001007004 | 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.
| EGAS00001005087 | EGA
Project description:Whole exome sequencing of tumors and paired adjacent uninvolved tissues from 222 early stage NSCLC patients, in order to identify genomic drivers present in early-stage non-small cell lung cancer and determine the overall tumor mutational burden in early-stage non-small cell lung cancer.
| EGAD00001005956 | EGA
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) 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
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 | PXD029821 | Pride
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:TRACERx (TRAcking Cancer Evolution through therapy (Rx)) is a prospective cohort study designed to investigate intratumor heterogeneity (ITH) in relation to clinical outcome, and to determine the clonal nature of driver events and evolutionary processes in early stage non-small cell lung cancer (NSCLC).
| EGAS00001006494 | EGA
Project description:TRACERx (TRAcking Cancer Evolution through therapy (Rx)) is a prospective cohort study designed to investigate intratumor heterogeneity (ITH) in relation to clinical outcome, and to determine the clonal nature of driver events and evolutionary processes in early stage non-small cell lung cancer (NSCLC).
| EGAS00001006517 | EGA
Project description:Esophageal squamous cell carcinoma (ESCC) is among the most common malignancies, but little is known about the spatial intratumor heterogeneity (ITH) and the temporal clonal evolutionary processes in this cancer. Interestingly, the epigenetic profiling also showed strong evidence of spatial ITH, and the phyloepigenetic trees were extremely similar with the phylogenetic ones, indicating the interplay and co-dependency of genetic and epigenetic alterations in ESCC. We found that several genes were both mutated and hypermethylated at their promoters, such as ASXL1 and EPHA7. Our integrated investigations of the spatial ITH and the temporal clonal evolution might provide insights into developing biomarkers for early diagnosis of ESCC, as well as personalized therapeutic targets for treating this malignancy. DNA methylation profiles of 12 tumor regions and 2 matched normal esophageal epithelial tissues from three M-WES-examined ESCC cases (ESCC01, ESCC03 and ESCC05) were performed using Illumina Infinium HumanMethylation450K platform (Illumina, San Diego, CA) at the Epigenome Center of University of Southern California.
2016-08-20 | E-GEOD-79366 | biostudies-arrayexpress