Biology subjects

Di-Luoffo, M.

Publications and source records attributed to Di-Luoffo, M..

6 recordsLinked to original sources

bioRxiv2025

Mutants of p53 sustain tumor growth under mechanical compression

ContextSolid tumors are subjected to mechanical stimuli arising from their growth in confined environments. Growth-induced pressure builds up in tumors such as pancreatic cancer and rises alongside the occurrence of genetic alterations during tumorigenesis. This study aims to understand the so far unknown relationship between genetic alterations and cancer cell behavior under compressive stress. ResultsUsing isogenic cell lines with engineered p53 mutations, we showed that the p53 background influences cell response to compression. Tumor growth under compression increased in cells harboring a mutated-truncated p53 form. This mutation blocked caspase 3 cleavage and promoted survival and growth through PI3K-AKT activation and dysregulation of c-FOS and FOSB transcription factors network. Mutated-truncated p53 cells displayed a unique behavior and heightened an activation state under compression. ConclusionMechanical compression and p53 mutations together drive tumor growth. p53 status could be a biomarker for predicting tumor adaptation to mechanical stress and efficiency of therapies targeting mechanosensitive pathways. TeaserMechanical compression and p53 mutations together enhance cancer cell survival and growth, driving solid tumor progression.

cancer biology↗

bioRxiv2025

Autophagy driven by VPS34 enables differentiated cell plasticity and cancer initiation

Differentiated cell plasticity and autophagy are fundamental mechanisms of tissue repair. To investigate their integration to maintain tissue homeostasis, we developed a unique model in which VPS34, the highly conserved class III PI3K that promotes autophagic flux, was inactivated in pancreatic exocrine cells, recognised study models. Using scRNAseq, we found that VPS34-null acinar cells evolved towards a transcriptional identity present at low levels in mouse and human pancreas. Functionally, it unexpectedly prevented transdifferentiation, chronic pancreatitis and precancer initiation triggered by stressors. Mechanistically, the newly differentiated cell state was less susceptible to cancer promotion by oncogenic KRAS, through reduced class I PI3K and increased lysosomal degradation of pro-inflammatory REG3A. This result opens the so far unreachable possibility of strategies for protection from environmentally induced cancer initiation.

pathology↗

bioRxiv2023

An easy-to-use microfluidic mechano-chemostat for tissues and organisms reveals that confined growth is accompanied with increased macromolecular crowding

Conventional culture conditions are oftentimes insufficient to study tissues, organisms, or 3D multicellular assemblies. They lack both dynamic chemical and mechanical control over the microenvironment. While specific microfluidic devices have been developed to address chemical control, they are often hard to use and do not allow the control of compressive forces. Here, we present a set of microfluidic devices which all rely on the use of sliding elements consisting of microfabricated rods that can be inserted inside a microfluidic device. Sliding elements enable the creation of reconfigurable sealed culture chambers for the study of whole organisms or model micro-tissues. By confining the micro-tissues, we studied the biophysical impact of growth-induced pressure and showed that this mechanical stress is associated with an increase in macromolecular crowding, shedding light on this understudied type of mechanical stress. Our mechano-chemostat is an easy-to-use microfluidic device that allows the long-term culture of biological samples and can be used to study both the impact of specific conditions as well as the consequences of mechanical compression.

biophysics↗

bioRxiv2021

The biomechanical context influences the output signaling, independently of PIK3CA mutations in breast cancer cells.

ContextMechanical stresses, including compression, arise during cancer progression. In solid cancer, especially breast and pancreatic cancers, the rapid tumor growth and the environment remodeling explain their high intensity of compressive forces. However, the sensitivity of compressed cells to targeted therapies remains poorly known. ResultsIn breast and pancreatic cancer cells, pharmacological PI3K inactivation decreased cell number and induced apoptosis. These effects were accentuated when we applied 2D compression forces in mechanically responsive cells. Compression selectively induced overexpression of PI3K isoforms and PI3K/AKT pathway activation. Further, transcriptional effects of PI3K inhibition and compression converged to control the expression of an autophagy regulator, GABARAP, which level was inversely associated with PI3K inhibitor sensitivity under compression. Compression alone blocked autophagy flux in all tested cells, while inactivation of basal PI3K activity restored autophagy flux only in mechanically non-responsive compressed cells. ConclusionThis study provides direct evidence for the role of PI3K/AKT pathway in compression-induced mechanotransduction. PI3K inhibition promotes apoptosis or autophagy, explaining PI3K importance to control cancer cell survival under compression.

bioinformatics↗

bioRxiv2019

A novel mouse model designed for studying cholangiocarcinoma tumorigenesis uncovers a role for a SOX17-Tensin 4 pathway

Background & AimsAlthough earlier diagnosis and treatment of intrahepatic cholangiocarcinoma (iCCA) is necessary to improve therapy, there is still limited information available about initiation and evolution of iCCA precursor lesions. Therefore, there is a need to identify mechanisms driving formation of precancerous lesions and their progression towards invasive tumor using experimental models that faithfully recapitulate human tumorigenesis. MethodsWe generated a new mouse model which combines cholangiocyte-specific expression of KrasG12D with 3,5-diethoxycarbonyl-1,4-dihydrocollidine diet-induced inflammation to mimic iCCA development in patients with cholangitis. Histological and transcriptomic analyses of the mouse precursor lesions and iCCA were performed and compared with human analyses. The function of genes overexpressed during tumorigenesis was investigated in human cell lines. ResultsMice expressing KrasG12D in cholangiocytes and fed a DDC diet developed cholangitis, ductular proliferations, intraductal papillary neoplasms of bile ducts (IPNBs) and eventually iCCAs. The histology of mouse and human IPNBs were highly similar, and mouse iCCAs displayed histological characteristics of human mucin-producing large duct type iCCA. Signaling pathways activated in human iCCA were activated in mice. The identification of transition zones between IPNB and iCCA on tissue sections, combined with RNA-sequencing analyses of the lesions supported that iCCAs derive from IPNBs. We provide evidence that a gene cascade which comprises KRASG12D, SRY-related HMG box transcription factor 17 (SOX17) and Tensin 4 (TNS4), and which is activated by epidermal growth factor, promotes tumor progression. ConclusionsWe developed a novel mouse model that faithfully recapitulates human iCCA tumorigenesis and identified a gene cascade promoting tumor progression.

cancer biology↗

bioRxiv2018

Dynamics and predicted drug response of a gene network linking dedifferentiation with beta-catenin dysfunction in hepatocellular carcinoma

Alterations of individual genes variably affect development of hepatocellular carcinoma (HCC), prompting the need to characterize the function of tumor-promoting genes in the context of gene regulatory networks (GRN). Here, we identify a GRN which functionally links LIN28B-dependent dedifferentiation with dysfunction of CTNNB1 ({beta}-CATENIN). LIN28B and CTNNB1 form a functional GRN with SMARCA4 (BRG1), Let-7b, SOX9, TP53 and MYC. GRN activity is detected in HCC and gastrointestinal cancers; it negatively correlates with HCC prognosis and contributes to a transcriptomic profile typical of the proliferative class of HCC. Using data from The Cancer Genome Atlas and from transcriptomic, transfection and mouse transgenic experiments, we generated and validated a quantitative mathematical model of the GRN. The model predicts how the expression of GRN components changes when the expression of another GRN member varies or is inhibited by a pharmacological drug. The dynamics of GRN component expression reveal distinct cell states that can switch reversibly in normal condition, and irreversibly in HCC. We conclude that identification and modelling of the GRN provides insight into prognosis, mechanisms of tumor-promoting genes and response to pharmacological agents in HCC.

cancer biology↗