Integrating clinical, molecular, proteomic and histopathological data within the tissue context : tissunomics
Ramón y Cajal, Santiago (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Hümmer, Stefan (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Peg, Vicente (Centro de Investigación Biomédica en Red de Cáncer)
Matías-Guiu, Xavier (Hospital Universitari de Bellvitge)
de Torres, Inés (Hospital Universitari Vall d'Hebron)
Castellvi, Josep (Centro de Investigación Biomédica en Red de Cáncer)
Martinez-Saez, Elena (Hospital Universitari Vall d'Hebron)
Hernandez-Losa, Javier (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Vall d'Hebron Institut de Recerca (VHIR)

Date:	2019
Abstract:	Malignant tumours show a marked degree of morphological, molecular and proteomic heterogeneity. This variability is closely related to microenvironmental factors and the location of the tumour. The activation of genetic alterations is very tissue-dependent and only few tumours have distinct genetic alterations. Importantly, the activation state of proteins and signaling factors is heterogeneous in the primary tumour and in metastases and recurrences. The molecular diagnosis based only on genetic alterations can lead to treatments with unpredictable responses, depending on the tumour location, such as the tumour response in melanomas versus colon carcinomas with mutations. Therefore, we understand that the correct evaluation of tumours requires a system that integrates both morphological, molecular and protein information in a clinical and pathological context, where intratumoral heterogeneity can be assessed. Thus, we propose the term 'tissunomics', where the diagnosis will be contextualised in each tumour based on the complementation of the pathological, molecular, protein expression, environmental cells and clinical data.
Grants:	Agència de Gestió d'Ajuts Universitaris i de Recerca 2017SGR1799 Agència de Gestió d'Ajuts Universitaris i de Recerca 2014SGR1131 Instituto de Salud Carlos III PI17/02247 Instituto de Salud Carlos III PI14/01320
Note:	Altres ajuts: CIBERONC/CB16/12/00363
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Genomics ; Histopathology ; Proteomics ; Tumour heterogeneity
Published in:	Histopathology, Vol. 75 (may 2019) , p. 4-19, ISSN 1365-2559

DOI: 10.1111/his.13828
PMID: 30667539

16 p, 1.6 MB

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