Q3139904 (Q3139904): Difference between revisions

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(‎Created claim: summary (P836): Cutaneous melanoma is one of the most aggressive and treatment-resistant cancers and an example of multifactorial disease involving genetic, environmental and subject factors. The pattern and amount of solar radiation required to originate a melanoma depends on the characteristics of the host and the anatomical location of the melanocytes. It has been suggested that there are at least two etiopathogenic pathways, one determined by characteristic...)
Property / summary
 
Cutaneous melanoma is one of the most aggressive and treatment-resistant cancers and an example of multifactorial disease involving genetic, environmental and subject factors. The pattern and amount of solar radiation required to originate a melanoma depends on the characteristics of the host and the anatomical location of the melanocytes. It has been suggested that there are at least two etiopathogenic pathways, one determined by characteristics of the subject that express the existence of melanocyte (nevoogenic) instability and another related to chronic solar exposure (high accumulated solar radiation). However, current classification systems are not able to explain clearly the different models of advanced disease progression. With access to state-of-the-art sequencing technology, such as the one provided by Illumina TruSeq Custom Amplicon (Illumina), it is intended to obtain an integrated clinical-pathological-genetic model for melaoma classification that may be useful in the development of new guidelines for characterisation and treatment of patients with melanoma. The analysis will be made from 225 paraffined samples of primary tumor, adjacent peritumoral healthy tissue and 125 metastases of the Biobank of the Valencian Institute of Oncology. Cases will be selected in a 1:1 ratio of each of the two etiopathogenic pathways described above. All cases have detailed epidemiological, clinical, histological and evolutionary information systematically collected. Bioinformatics of sequencing data will be performed to prioritise ‘driver’ genetic alterations and determine the most commonly affected molecular pathways. Statistical analysis will allow the correlation of defined types with epidemiological, clinical and pathological characteristics and prognosis. (English)
Property / summary: Cutaneous melanoma is one of the most aggressive and treatment-resistant cancers and an example of multifactorial disease involving genetic, environmental and subject factors. The pattern and amount of solar radiation required to originate a melanoma depends on the characteristics of the host and the anatomical location of the melanocytes. It has been suggested that there are at least two etiopathogenic pathways, one determined by characteristics of the subject that express the existence of melanocyte (nevoogenic) instability and another related to chronic solar exposure (high accumulated solar radiation). However, current classification systems are not able to explain clearly the different models of advanced disease progression. With access to state-of-the-art sequencing technology, such as the one provided by Illumina TruSeq Custom Amplicon (Illumina), it is intended to obtain an integrated clinical-pathological-genetic model for melaoma classification that may be useful in the development of new guidelines for characterisation and treatment of patients with melanoma. The analysis will be made from 225 paraffined samples of primary tumor, adjacent peritumoral healthy tissue and 125 metastases of the Biobank of the Valencian Institute of Oncology. Cases will be selected in a 1:1 ratio of each of the two etiopathogenic pathways described above. All cases have detailed epidemiological, clinical, histological and evolutionary information systematically collected. Bioinformatics of sequencing data will be performed to prioritise ‘driver’ genetic alterations and determine the most commonly affected molecular pathways. Statistical analysis will allow the correlation of defined types with epidemiological, clinical and pathological characteristics and prognosis. (English) / rank
 
Normal rank
Property / summary: Cutaneous melanoma is one of the most aggressive and treatment-resistant cancers and an example of multifactorial disease involving genetic, environmental and subject factors. The pattern and amount of solar radiation required to originate a melanoma depends on the characteristics of the host and the anatomical location of the melanocytes. It has been suggested that there are at least two etiopathogenic pathways, one determined by characteristics of the subject that express the existence of melanocyte (nevoogenic) instability and another related to chronic solar exposure (high accumulated solar radiation). However, current classification systems are not able to explain clearly the different models of advanced disease progression. With access to state-of-the-art sequencing technology, such as the one provided by Illumina TruSeq Custom Amplicon (Illumina), it is intended to obtain an integrated clinical-pathological-genetic model for melaoma classification that may be useful in the development of new guidelines for characterisation and treatment of patients with melanoma. The analysis will be made from 225 paraffined samples of primary tumor, adjacent peritumoral healthy tissue and 125 metastases of the Biobank of the Valencian Institute of Oncology. Cases will be selected in a 1:1 ratio of each of the two etiopathogenic pathways described above. All cases have detailed epidemiological, clinical, histological and evolutionary information systematically collected. Bioinformatics of sequencing data will be performed to prioritise ‘driver’ genetic alterations and determine the most commonly affected molecular pathways. Statistical analysis will allow the correlation of defined types with epidemiological, clinical and pathological characteristics and prognosis. (English) / qualifier
 
point in time: 12 October 2021
Timestamp+2021-10-12T00:00:00Z
Timezone+00:00
CalendarGregorian
Precision1 day
Before0
After0

Revision as of 13:08, 12 October 2021

Project Q3139904 in Spain
Language Label Description Also known as
English
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Project Q3139904 in Spain

    Statements

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    30,750.0 Euro
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    61,500.0 Euro
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    50.0 percent
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    1 January 2016
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    16 December 2018
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    FUNDACION INSTITUTO VALENCIANO DE ONCOLOGIA
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    39°28'10.96"N, 0°22'34.82"W
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    46250
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    El melanoma cutáneo es uno de los cánceres más agresivos y resistentes al tratamiento y un ejemplo de enfermedad multifactorial en el que están implicados factores genéticos, ambientales y del sujeto. El patrón y cantidad de radiación solar requerida para originar un melanoma depende de las características del huésped y de la ubicación anatómica de los melanocitos. Se ha sugerido que existen al menos dos vías etiopatogénicas, una determinada por características del sujeto que expresan la existencia de una inestabilidad melanocitaria (nevogénica) y otra relacionada con la exposición solar crónica (por radiación solar acumulada elevada). Sin embargo, los sistemas de clasificación actuales no son capaces de explicar con claridad los diferentes modelos de progresión de la enfermedad avanzada. Con el acceso a tecnología, s de secuenciación de última generación, tales como la que proporciona Illumina TruSeq Custom Amplicon (Illumina), se pretende obtener un modelo integrado clínico-patológico-genético para la clasificación del melaoma que pueda ser de utilidad en el desarrollo de nuevas directrices para la caracterización y el tratamiento del paciente con melanoma. El análisis se realizará a partir de 225 muestras parafinadas de tumor primario, tejido sano adyacente peritumoral y 125 metástasis del Biobanco del Instituto Valenciano de Oncología. Los casos serán seleccionados en una proporción 1:1 de cada uno de las dos vías etiopatogénicas descritas anteriormente. Todos los casos tienen recogida de forma sistemática información epidemiológica, clínica, histológica y evolutiva detallada. Se realizarán análisis bioinformáticos de los datos de secuenciación para priorizar las alteraciones genéticas ‘driver’ y determinar las vías moleculares más comúnmente afectadas. El análisis estadístico permitirá correlacionar los tipos definidos con las características epidemiológicas, clínicas y patológicas y con el pronóstico. (Spanish)
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    Cutaneous melanoma is one of the most aggressive and treatment-resistant cancers and an example of multifactorial disease involving genetic, environmental and subject factors. The pattern and amount of solar radiation required to originate a melanoma depends on the characteristics of the host and the anatomical location of the melanocytes. It has been suggested that there are at least two etiopathogenic pathways, one determined by characteristics of the subject that express the existence of melanocyte (nevoogenic) instability and another related to chronic solar exposure (high accumulated solar radiation). However, current classification systems are not able to explain clearly the different models of advanced disease progression. With access to state-of-the-art sequencing technology, such as the one provided by Illumina TruSeq Custom Amplicon (Illumina), it is intended to obtain an integrated clinical-pathological-genetic model for melaoma classification that may be useful in the development of new guidelines for characterisation and treatment of patients with melanoma. The analysis will be made from 225 paraffined samples of primary tumor, adjacent peritumoral healthy tissue and 125 metastases of the Biobank of the Valencian Institute of Oncology. Cases will be selected in a 1:1 ratio of each of the two etiopathogenic pathways described above. All cases have detailed epidemiological, clinical, histological and evolutionary information systematically collected. Bioinformatics of sequencing data will be performed to prioritise ‘driver’ genetic alterations and determine the most commonly affected molecular pathways. Statistical analysis will allow the correlation of defined types with epidemiological, clinical and pathological characteristics and prognosis. (English)
    12 October 2021
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    Valencia
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    Identifiers

    PI15_01860
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