Abstract The microenvironment plays a central role in cancer, and neoplastic cells actively shape it to their needs by complex arrays of extracellular matrix (ECM) proteins, enzymes, cytokines and growth factors collectively referred to as the matrisome. Studies on the cancer matrisome have been performed for single or few neoplasms, but a more systematic analysis is still missing. Here we present a Pan-Cancer study of matrisome gene expression in 10,487 patients across 32 tumor types, supplemented with transcription factors (TFs) and driver genes/pathways regulating each tumor’s matrisome. We report on 919 TF-target pairs, either used specifically or shared across tumor types, and their prognostic significance, 40 master regulators, 31 ov...
Metabolic reprogramming plays an important role in cancer development and progression and is a well-...
In a multi-level ‘deconstruction’ of omental metastases, we previously identified a prognostic matri...
Gene coexpression network analysis is a powerful "data-driven" approach essential for understanding ...
Abstract The extracellular matrix (ECM) is a master regulator of all cellular functions and a major...
A) Schematic shows the steps involved in shortlisting genes from the individual TCGA cancer dataset ...
Background: Accumulating evidence implicates the tumour stroma as an important determinant of cancer...
A) Schematic shows the steps involved in shortlisting genes from the pan-cancer TCGA dataset based o...
We have profiled, for the first time, an evolving human metastatic microenvironment by measuring gen...
Despite considerable efforts, the mechanisms linking genomic alterations to the transcriptional iden...
Despite considerable efforts, the mechanisms linking genomic alterations to the transcriptional iden...
Abstract The extracellular matrix (ECM) has historically been explored through proteomic methods. Wh...
Despite extensive research characterizing cancer pathology, it’s heterogeneity still challenges our ...
Resumen del póster presentado al 1st Joint Meeting of the French-Portuguese-Spanish Biochemical and ...
Introduction: Gene expression data derived from clinical cancer specimens provide an opportunity to ...
Abstract The extracellular matrix (ECM) is a three-dimensional network of proteins of diverse nature...
Metabolic reprogramming plays an important role in cancer development and progression and is a well-...
In a multi-level ‘deconstruction’ of omental metastases, we previously identified a prognostic matri...
Gene coexpression network analysis is a powerful "data-driven" approach essential for understanding ...
Abstract The extracellular matrix (ECM) is a master regulator of all cellular functions and a major...
A) Schematic shows the steps involved in shortlisting genes from the individual TCGA cancer dataset ...
Background: Accumulating evidence implicates the tumour stroma as an important determinant of cancer...
A) Schematic shows the steps involved in shortlisting genes from the pan-cancer TCGA dataset based o...
We have profiled, for the first time, an evolving human metastatic microenvironment by measuring gen...
Despite considerable efforts, the mechanisms linking genomic alterations to the transcriptional iden...
Despite considerable efforts, the mechanisms linking genomic alterations to the transcriptional iden...
Abstract The extracellular matrix (ECM) has historically been explored through proteomic methods. Wh...
Despite extensive research characterizing cancer pathology, it’s heterogeneity still challenges our ...
Resumen del póster presentado al 1st Joint Meeting of the French-Portuguese-Spanish Biochemical and ...
Introduction: Gene expression data derived from clinical cancer specimens provide an opportunity to ...
Abstract The extracellular matrix (ECM) is a three-dimensional network of proteins of diverse nature...
Metabolic reprogramming plays an important role in cancer development and progression and is a well-...
In a multi-level ‘deconstruction’ of omental metastases, we previously identified a prognostic matri...
Gene coexpression network analysis is a powerful "data-driven" approach essential for understanding ...