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Biology subjects

Malavaud, B.

Publications and source records attributed to Malavaud, B..

2 recordsLinked to original sources

Collagen remodeling leads to inflammation-free expansion of periprostatic adipose tissue and promotes prostate cancer progression

One of the most striking features of the adipose depot surrounding the prostate (periprostatic adipose tissue, PPAT) is that its accumulation is independent of body mass index. Its volume varies considerably between individual with some patients exhibiting abundant PPATs that have been correlated to occurrence of aggressive prostate cancer (PCa). However, abundant PPAT are not defined at biological levels. We used a new statistical approach to define abundant PPAT by normalizing PPAT volume to prostate volume in a cohort of 351 patients with a linear regression model. Applying this definition, we confirmed the link between abundant PPAT and PCa aggressiveness, therefore validating our approach. At biological levels, we showed that abundant PPAT exhibited extensive extracellular matrix remodeling, notably of the collagen network, decreasing the mechanical constraints in hypertrophic adipocytes leading to an inflammation free-expansion. Degradation of the most abundant collagen in AT, collagen VI was associated with increased production of endotrophin, a signaling peptide derived from AT, that was also elevated in the urine of patients with abundant PPAT confirming the clinical relevance of our results. These results highlight a unique mechanism of expansion of an adipose depot and open new mechanistic avenues to explain its role in prostate-related disorders.

cancer biology↗

Patient-matched analysis identifies deregulated networks in prostate cancer to guide personalized therapeutic intervention

Prostate cancer (PrCa) is the second most common malignancy in men1. More than 50% of advanced prostate cancers display the TMPRSS2-ERG fusion2. Despite extensive cancer genome/transcriptome2-4 and phosphoproteome5 data, little is known about the impact of mutations and altered transcription on regulatory networks in the PrCa of individual patients. Using patient-matched normal and tumor samples, we established somatic variations and differential transcriptome profiles of primary ERG-positive prostate cancers. Integration of protein-protein interaction and gene-regulatory network databases6, 7 defined highly diverse patient-specific network alterations. We found that different components of a given regulatory pathway were altered by novel and known mutations and/or aberrant gene expression, including deregulated ERG targets, such that different sets of pathways were altered in each individual PrCa. In a given PrCa, several deregulated pathways share common factors, predicting synergistic effects on cancer progression. Our integrated analysis provides a paradigm to identify key deregulated factors within regulatory networks to guide personalized therapies.

genomics↗