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A mechanistic classification of clinical phenotypes in neuroblastoma (telomere maintenance cohort)

ABSTRACT: A mechanistic classification of clinical phenotypes in neuroblastoma (telomere maintenance cohort)

PROVIDER: PRJNA493570 | ENA |

REPOSITORIES: ENA

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A mechanistic classification of clinical phenotypes in neuroblastoma (telomere maintenance cohort)

Project description:Our study proposes a precise mechanistic classification of clinical neuroblastoma phenotypes that is based on telomere maintenance mechanisms and RAS or p53 pathway mutations. A crucial factor in telomere maintenance is overexpression of TERT. We therefore determined a TERT expression threshold to identify MYCN-WT TERT-WT tumors whose TERT mRNA levels are comparable to those of tumors bearing MYCN or TERT alterations.

2018-10-25 | GSE120559 | GEO

A mechanistic classification of clinical phenotypes in neuroblastoma (TERT expression threshold cohort)

Project description:Our study proposes a precise mechanistic classification of clinical neuroblastoma phenotypes that is based on telomere maintenance mechanisms and RAS or p53 pathway mutations. A crucial factor in telomere maintenance is overexpression of TERT. We therefore determined a TERT expression threshold to identify MYCNWT TERTWT tumors whose TERT mRNA levels are comparable to those of tumors bearing MYCN or TERT alterations.

2018-10-25 | GSE120568 | GEO

A mechanistic classification of clinical phenotypes in neuroblastoma

Project description:A mechanistic classification of clinical phenotypes in neuroblastoma

| PRJNA493612 | ENA

A mechanistic classification of clinical phenotypes in neuroblastoma

Project description:Clinical courses of the pediatric tumor neuroblastoma range from fatal progression to spontaneous regression. To gain insights into the pathogenesis of these divergent subtypes, we performed massively parallel sequencing of 416 pretreatment neuroblastomas and assessed telomere maintenance mechanisms in 208/416 cases. We observed that telomere maintenance and mutations in RAS or p53 pathway genes strongly affected disease courses. Fatal outcome occurred only in the presence of telomere maintenance, whereas patients whose tumors lacked such mechanisms had excellent outcome. In patients with telomere maintenance-positive tumors, survival was dramatically inferior when additional RAS/p53 pathway mutations were present. By contrast, spontaneous regression occurred both in the presence and absence of RAS/p53 pathway mutations in patients with telomere maintenance-negative tumors. Together, our data provide a precise mechanistic classification of clinical neuroblastoma phenotypes based on telomere maintenance mechanisms and genetic alterations of the tumor.

| EGAS00001003244 | EGA

A mechanistic classification of clinical phenotypes in neuroblastoma (TERT expression threshold cohort)

Project description:A mechanistic classification of clinical phenotypes in neuroblastoma (TERT expression threshold cohort)

| PRJNA493609 | ENA

Reliable assessment of telomere maintenance mechanisms in neuroblastoma

Project description:Telomere maintenance mechanisms (TMM) are a hallmark of high-risk neuroblastoma, and are conferred by activation of telomerase or alternative lengthening of telomeres (ALT). However, detection of TMM is not yet part of the clinical routine, and consensus on TMM detection, especially on ALT assessment, remains to be achieved. Based on our results we here propose a workflow to reliably detect TMM in neuroblastoma. We show that unambiguous classification is feasible following a stepwise approach that determines both, activation of telomerase and ALT. The workflow proposed in this study can be used in clinical routine and provides a framework to systematically evaluate telomere maintenance mechanisms in risk stratification and treatment allocation of neuroblastoma patients.

2022-09-19 | GSE211653 | GEO

A mechanistic classification of clinical phenotypes in neuroblastoma.

Project description:Neuroblastoma is a pediatric tumor of the sympathetic nervous system. Its clinical course ranges from spontaneous tumor regression to fatal progression. To investigate the molecular features of the divergent tumor subtypes, we performed genome sequencing on 416 pretreatment neuroblastomas and assessed telomere maintenance mechanisms in 208 of these tumors. We found that patients whose tumors lacked telomere maintenance mechanisms had an excellent prognosis, whereas the prognosis of patients whose tumors harbored telomere maintenance mechanisms was substantially worse. Survival rates were lowest for neuroblastoma patients whose tumors harbored telomere maintenance mechanisms in combination with RAS and/or p53 pathway mutations. Spontaneous tumor regression occurred both in the presence and absence of these mutations in patients with telomere maintenance-negative tumors. On the basis of these data, we propose a mechanistic classification of neuroblastoma that may benefit the clinical management of patients.

| S-EPMC7875194 | biostudies-literature

Reliable assessment of telomere maintenance mechanisms in neuroblastoma

Project description:Telomere maintenance mechanisms (TMM) are a hallmark of high-risk neuroblastoma, and are conferred by activation of telomerase or alternative lengthening of telomeres (ALT). However, detection of TMM is not yet part of the clinical routine, and consensus on TMM detection, especially on ALT assessment, remains to be achieved. We here propose a workflow to reliably detect TMM in neuroblastoma. We show that unambiguous classification is feasible following a stepwise approach that determines both, activation of telomerase and ALT. The workflow proposed in this study can be used in clinical routine and provides a framework to systematically and reliably determine telomere maintenance mechanisms for risk stratification and treatment allocation of neuroblastoma patients.

| EGAS00001006510 | EGA

A mechanistic classification of clinical phenotypes in neuroblastoma

Project description:This SuperSeries is composed of the SubSeries listed below.

2018-10-25 | GSE120572 | GEO

Telomere length effect on genes near the telomere in myoblasts

Project description:We examined differential expression of genes within 10MBs of telomeres in myoblasts with long or short telomeres We offer telomere looping with telomere length as a partial mechanistic explanation for the changes gene expression that is observed. Compare expression of genes within 10MB of the telomere in normal myoblasts with long (15 kb) and short (6 kb) telomeres.

2014-07-17 | E-GEOD-48973 | biostudies-arrayexpress

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