Biology subjects

Dusetti, N. J.

Publications and source records attributed to Dusetti, N. J..

11 recordsLinked to original sources

bioRxiv2026

The methionine cycle sustains the mesenchymal phenotype of tumor cells and drives PDA progression

Mesenchymal traits are associated with poor prognosis in Pancreatic Ductal Adenocarcinoma (PDA), but direct targeting of mesenchymal tumor cells remains a challenge. Metabolic profiling of tumor cells isolated from murine PDA and liver metastases (LM) revealed that LM rely more on the methionine cycle than does primary PDA. This metabolic shift was specifically associated with increased activation of the methionine cycle in mesenchymal tumor cells compared to differentiated tumor cells. We show that the targeting of the key enzyme of the methionine cycle S-adenosylhomocysteine hydrolase (SAHH) in mesenchymal cells lowers the levels of homocysteine (Hcy) and glutathione, resulting in reduced antioxidant capacity, deregulated intracellular calcium homeostasis, and ultimately loss of mesenchymal markers. Together, these events decrease cell proliferation and invasion, blunting the tumorigenic and metastatic potential of SAHH-deficient cells, eventually impeding tumor growth and progression of the metastatic disease. Clinically, the high expression of SAHH in patients with mesenchymal PDA is correlated with poor survival, positioning SAHH as a potential therapeutic target to impede the pro-metastatic, mesenchymal phenotype of PDA.

cancer biology↗

bioRxiv2026

Transcriptomic FOLFIRINOX sensitivity signatures stratify overall survival and reveal directional reclassification after neoadjuvant FOLFIRINOX in borderline resectable and locally advanced pancreatic cancer

Background: Transcriptomic FOLFIRINOX-component sensitivity signatures have been clinically evaluated in resected and advanced PDAC, but their relevance and longitudinal stability in the neoadjuvant BR/LA setting are unknown. Patients and methods: We retrospectively studied 77 patients with borderline resectable or locally advanced PDAC treated with neoadjuvant FOLFIRINOX followed by resection. Pretreatment sensitivity to 5-fluorouracil, oxaliplatin and irinotecan was determined using previously developed locked transcriptomic classifiers and integrated into a regimen-level FOLFIRINOX classification. The primary molecular cohort comprised 53 patients whose pretreatment biopsies had [≥]10% tumour cellularity. Cox models assessed associations with survival. Longitudinal changes were assessed in 35 paired tumours. Results: Thirty-one pretreatment tumours were classified as FOLFIRINOX-sensitive (FFX-Sens), and 22 were not classified as FOLFIRINOX-sensitive (FFX-Res). FFX-Sens status was associated with longer overall survival (OS; hazard ratio [HR] 0.48, 95% confidence interval [CI] 0.25-0.93; p=0.029). In the complete-case model adjusted for baseline carbohydrate antigen 19-9 (CA19-9) and tumour size (n=50), the association with OS persisted (adjusted HR 0.47, 95% CI 0.23-0.96; p=0.037), whereas the adjusted association with disease-free survival was not statistically significant (adjusted HR 0.55, 95% CI 0.28-1.10; p=0.090). Among paired tumours, 15 changed from FFX-Sens to FFX-Res and four in the opposite direction (exact McNemar p=0.019). The OS association also persisted after adjustment for postoperative pathological factors (adjusted HR 0.40; p=0.015). Conclusions: Pretreatment FOLFIRINOX sensitivity was associated with OS under neoadjuvant FOLFIRINOX, while matched pretreatment and residual-tumour analyses revealed significant directional reclassification after treatment. These findings extend the clinical evaluation of validated drug-specific FOLFIRINOX sensitivity classifiers to the neoadjuvant setting and provide a longitudinal assessment of their stability during treatment. They support prospective evaluation of both pretreatment stratification and molecular reassessment of residual disease.

cancer biology↗

bioRxiv2026

A genome-wide CRIPR-Cas9 screen identifies TGN46 as a host determinant for H-1PV susceptibility in pancreatic adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) remains a highly lethal malignancy with limited response to current therapeutic strategies. Oncolytic viruses such as the rat protoparvovirus H-1PV represent promising alternatives; however, their clinical development is hindered by an incomplete understanding of virus-host interactions that determine tumor susceptibility. Here, we conducted a genome-scale CRISPR-Cas9 knockout screen in primary PDAC cultures to identify host determinants of viral infection and cytotoxicity. The screen confirmed the central role of the sialylation pathway in mediating susceptibility to H-1PV and uncovered several additional genes involved in vesicular trafficking and protein recycling. Among these candidates, TGOLN2, encoding the transmembrane protein TGN46, emerged as a critical host factor. Functional analyses demonstrate that TGN46 supports efficient H-1PV infection, replication, and virus-induced cytotoxicity in pancreatic cancer cells. TGN46 colocalizes with viral particles at the cell surface and facilitates their internalization through dynamin-dependent endocytosis. Molecular studies further indicate that the luminal N-terminal domain of TGN46 interacts with the viral capsid. In vivo, TGOLN2 expression in essential to H-1PV-mediated antitumor activity in experimental models. Collectively, these findings identify TGN46 as a membrane-associated entry factor required for optimal H-1PV infection in PDAC cells. This work refines the mechanistic understanding of H-1PV tropism and provides a rationale for exploring host determinants of viral susceptibility as candidate biomarkers to guide parvovirus-based virotherapy.

cancer biology↗

bioRxiv2025

SG33, a vaccine strain of myxoma virus with oncolytic potential, exploits macropinocytosis and clathrin-mediated endocytosis for entry into pancreatic cancer cells.

Oncolytic viruses are being investigated as therapeutic agents in cancer, yet their mechanisms of entry into tumor cells remain incompletely understood. We previously showed that SG33, a veterinary vaccinal strain derived from a pathogenous myxoma virus, displays oncolytic activity in preclinical models of pancreatic ductal adenocarcinoma (PDAC). Here, we investigated the entry pathways of SG33 into primary PDAC-derived cultures. We found that macropinocytosis, an endocytic process frequently upregulated in PDAC, contributes to SG33 uptake. Moreover, SG33 infection itself induced macropinocytosis in a subset of primary PDAC cultures. Mechanistic studies revealed that phosphatidylserine exposed on the viral envelope promotes SG33 internalization through apoptotic mimicry. In PDAC cultures lacking detectable macropinocytosis, SG33 employed clathrin-mediated endocytosis as an alternative entry route. These findings provide the first insights into the entry mechanisms of SG33 into PDAC-derived cells and indicate that this virus can utilize distinct endocytic pathways depending on the cellular context. ImportancePancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal cancers, with limited therapeutic options. Oncolytic virotherapy is emerging as a promising strategy to overcome treatment resistance, yet the mechanisms by which candidate viruses enter cancer cells remain poorly defined. Here, we characterize the entry route of SG33, a derivative of myxoma virus with potent oncolytic activity in PDAC models. We show that SG33 exploits multiple endocytic pathways, including macropinocytosis (MPC), induces MPC through apoptotic mimicry, and also uses clathrin-mediated endocytosis (CME). These findings provide the first evidence that SG33 has evolved a flexible cell entry strategy, which could enhance its efficacy in the heterogeneous context of PDAC. Understanding the molecular determinants of viral entry is essential for the rational design of improved oncolytic virotherapies. Our study is aligned with this objective and highlights SG33 as a promising candidate to expand the toolbox of virotherapeutic agents against aggressive cancers.

cancer biology↗

bioRxiv2025

A TARGETED COMBINATION THERAPY ACHIEVES EFFECTIVE PANCREATIC CANCER REGRESSION AND PREVENTS TUMOR RESISTANCE

Pancreatic ductal adenocarcinoma (PDAC) has one of the lowest cancer survival rates. Recent studies using RAS(ON) inhibitors as single agents have opened the door to more efficacious therapies. Here, we demonstrate that genetic ablation of three independent nodes involved in downstream (RAF1), upstream (EGFR) and orthogonal (STAT3) KRAS signaling pathways leads to complete and permanent disappearance of orthotopic PDACs induced by KRAS/TP53 mutations. Likewise, a combination of RAS(ON) (RMC-6236/daraxonrasib), EGFR family (afatinib) and STAT3 (SD36) selective inhibitors/degraders induced the effective regression of these orthotopic tumors with no evidence of tumor resistance for over 200 days post-treatment. This combination therapy also led to significant regression of genetically engineered mouse tumors as well patient-derived tumor xenografts (PDX) in the absence of tumor relapses. Finally, this combination therapy was well tolerated by the animals. These results should guide the development of clinical trials that could benefit PDAC patients.

cancer biology↗

bioRxiv2023

Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach

BackgroundPancreatic ductal adenocarcinoma (PDAC) tumor inter-patient heterogeneity has been well described with two major prognostic subtypes (classical and basal-like). An important intra-patient heterogeneity has been reported but has not yet been extensively studied due to the lack of standardized, reproducible and easily accessible high throughput methods. Material and MethodsWe built an immunohistochemical (IHC) tool capable of differentiating RNA-defined classical and basal-like tumors by selecting relevant antibodies using a multi-step process. The successive stages of i) an in-silico selection from a review literature and a bulk transcriptome analysis of 309 PDACs, ii) a tumor-specific selection from 30 patient-derived xenografts followed by iii) the validation on tissue microarrays in 50 PDAC were conducted. We used our final IHC panel on two independent cohorts of resected PDAC (n=95, whole-slide, n=148, tissue microarrays) for external validation. After digitization and registration of pathology slides, we performed a tile-based-analysis in tumor and pre-neoplastic epithelial areas and a k-means clustering to identify relevant marker combinations. ResultsSequential marker selection led to the following panel: GATA6, CLDN18, TFF1, MUC16, S100A2, KRT17, PanBasal. Four different phenotypes were identified: 1 classical, 1 intermediate (KRT17+) and 2 basal-like (MUC16+ vs S100A2+) with specific biological properties. The presence of a minor basal contingent drastically reduced overall survival, even in classical predominant PDACs (HR=2.36, p=0.01). Analysis of preneoplastic lesions suggested that pancreatic carcinogenesis may follow a progressive evolution from classical toward a basal through an early intermediate phenotype. ConclusionOur IHC panel redefined and easily assessed the high degree of intra- and inter-tumoral heterogeneity of PDAC.

cancer biology↗

bioRxiv2021

Metabolomic profiling of pancreatic adenocarcinoma reveals fundamental clinical features

In this study, we perform the metabolomics profiling of 77 PDAC patient-derived tumor xenografts (PDTX) to investigate the relationship of metabolic profiles with overall survival (OS) in PDAC patients, tumor phenotypes and resistance to five anticancer drugs (gemcitabine, oxaliplatin, docetaxel, SN-38 and 5-Fluorouracil). We identified a metabolic signature that was able to predict the clinical outcome of PDAC patients (p < 0.001, HR=2.68 [95% CI: 1.5-4.9]). The correlation analysis showed that this metabolomic signature was significantly correlated with the PDAC molecular gradient (PAMG) (R = 0.44 and p < 0.001) indicating significant association to the transcriptomic phenotypes of tumors. Resistance score established, based on growth rate inhibition metrics using 35 PDTX-derived primary cells, allowed to identify several metabolites related to drug resistance which was globally accompanied by accumulation of several diacy-phospholipids and decrease in lysophospholipids. Interestingly, targeting glycerophospholipid synthesis improved sensitivity to the three tested cytotoxic drugs indicating that interfering with metabolism could be a promising therapeutic strategy to overcome the challenging resistance of PDAC. Short abstractTargeting metabolism of cancer cells gives a precious opportunity to overcome challenges related to the high mortality and chemoresistance in PDAC. Metabolic profiling of PDAC patient-derived tumor xenografts used in this study allowed highlighting the strong link between metabolism and both clinical outcome of the patients and chemoresistance. Metabolic signature was able to discriminate between good and bad prognosis groups of patients based on their level of key metabolites. Identification of key metabolic markers associated to chemoresistance allowed to improve sensitivity to anticancer drugs. These results provide new insights to help to predict patient survival and elaborate new combinatory therapies against chemoresistance in PDAC patients attesting of the important clinical value of this work.

cancer biology↗

bioRxiv2020

Translatome-based classification reveals a dual metabolic dependency of a new tumor subtype of pancreatic cancer.

Molecular profiling of Pancreatic Ductal Adenocarcinoma (PDA), based on transcriptomic analyses, identifies two main prognostic subtypes (basal-like and classical), but does not allow personalized first-line treatment. To date, tumors have not been profiled based on protein synthesis rates, yet the step of mRNA translation is highly deregulated in both PDA cancer cells and their microenvironment. Using a collection of twenty-seven pancreatic Patient-Derived Xenografts (PDX), we performed genome-wide analysis of translated mRNA (translatome). Unsupervised bioinformatics analysis revealed a new tumor subtype harboring a low protein synthesis rate, but associated with a robust translation of mRNAs encoding effectors of the integrated stress response (ISR), including the transcription factor ATF4. Functional characterization of the "ISR-activated" human cancer cells revealed a high resistance to drugs, low autophagic capacities, and importantly, metabolic impairments in the serine synthesis and transsulfuration pathways. Overall, our study highlights the strength of translatomic profiling on PDA, which here revealed an unforeseen drug-resistant cancer cell phenotype, whose auxotrophy to both serine and cysteine may be amenable to targeted therapy.

cancer biology↗

bioRxiv2020

E-cadherin: Unexpected actor of invadopodia formation in pancreatic cancer

Graphical abstract BackgroundThe appearance of hybrid epithelial-mesenchymal (E/M) cells expressing E-cadherin is favourable for the establishment of pro-invasive function. However, the molecular mechanism and potential roles of E-cadherin in cancer cell invasion stay unexplored. MethodsWe used models of E/M hybrid cell lines, tissues sections and patient-derived xenografts from a multi-center clinical trial. E-cadherin involvement in invadopodia formation was assessed using a gelatin-FITC degradation assay. Mechanistic studies were performed by using proteomic analysis, siRNA strategy and proximity ligation assay. ResultsWe showed that E-cadherin is a critical component of invadopodia. This unexpected localization results from a synergistic trafficking of E-cadherin and MT1-MMP through Rab vesicle-dependent pathway. Modulation of E-cadherin expression or activation impacted invadopodia formation. Moreover, colocalization of E-cadherin and Actin in [-]ring structures|| as precursor of invadopodia reveals that E-cadherin is required for invadopodia structuration. ConclusionE-cadherin, initially localized in the adherens junctions could be recycled to nascent invadopodia where it will interact with several components such as Arp2/3, Cortactin or MT1-MMP. The trans-adhesive properties of E-cadherin are therefore essential for structuring invadopodia. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=152 SRC="FIGDIR/small/332783v2_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@13b08e8org.highwire.dtl.DTLVardef@c5d19eorg.highwire.dtl.DTLVardef@14511cforg.highwire.dtl.DTLVardef@19436eb_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2020

Establishment of a pancreatic adenocarcinoma molecular gradient (PAMG) that predicts the clinical outcome of pancreatic cancer

BACKGROUNDA significant gap in pancreatic ductal adenocarcinoma (PDAC) patients care is the lack of molecular parameters characterizing tumors and allowing a personalized treatment. The goal of this study was to examine whole PDAC transcriptomic profiles to define a signature that would predict aggressiveness and treatment responsiveness better than done until now. METHODS AND PATIENTSTumors were obtained from 76 consecutive resectable (n=40) or unresectable (n=36) tumors. PDAC were transplanted in mice to produce patient-drived xenografts (PDX). PDX were classified according to their histology into five groups, from highly undifferentiated to well differentiated. This classification resulted strongly associated with tumors aggressiveness. A PDAC molecular gradient (PAMG) was constructed from PDX transcriptomes recapitulating the five histological groups along a continuous gradient. The prognostic and predictive value for PMAG was evaluated in: i/ two independent series (n=598) of resected tumors; ii/ 60 advanced tumors obtained by diagnostic EUS-guided biopsy needle flushing and iii/ on 28 biopsies from mFOLFIRINOX treated metastatic tumors. RESULTSA unique transcriptomic signature (PAGM) was generated with significant and independent prognostic value. PAMG significantly improves the characterization of PDAC heterogeneity compared to non-overlapping classifications as validated in 4 independent series of tumors (e.g. 308 consecutive resected PDAC, HR=0.321 95% CI [0.207;0.5] and 60 locally-advanced or metastatic PDAC, HR=0.308 95% CI [0.113;0.836]). The PAMG signature is also associated with progression under mFOLFIRINOX treatment (Pearson correlation to tumor response: -0.67, p-value < 0.001). CONCLUSIONWe identified a transcriptomic signature (PAMG) that, unlike all other stratification schemas already proposed, classifies PDAC along a continuous gradient. It can be performed on formalin-fixed paraffin-embedded samples and EUS-guided biopsies showing a strong prognostic value and predicting mFOLFIRINOX responsiveness. We think that PAMG could unify all PDAC preexisting classifications inducing a shift in the actual paradigm of binary classifications towards a better characterization in a gradient. Trial RegistrationThe PaCaOmics study is registered at www.clinicaltrials.gov with registration number NCT01692873. The validation BACAP study is registered at www.clinicaltrials.gov with registration number NCT02818829.

cancer biology↗

bioRxiv2020

Basal-like and Classical cells coexistence in pancreatic cancer revealed by single cell analysis

Pancreatic ductal adenocarcinoma (PDAC) is composed of stromal, immune and epithelial cells. Transcriptomic analysis of the epithelial compartment allows a binary classification into mainly two phenotypic subtypes, classical and basal-like. However, little is known about the intra-tumor heterogeneity of the epithelial component. Growing evidences suggest that this two side phenotypic segregation is not so clear and that both could coexist in a single tumor. In order to elucidate this hypothesis, we performed single-cell transcriptomic analyses using combinational barcoding on epithelial cells from 6 different classical PDAC obtained by Endoscopic Ultrasound (EUS) with Fine Needle Aspiration (FNA). In order to purify the epithelial compartment, PDAC were grown as Biopsy Derived Pancreatic Cancer Organoids. Single cell transcriptomic analysis allowed the identification of 4 main cell clusters present in different proportions in all tumors. Remarkably, although these tumors were classified as Classical, one of the clusters corresponded to a basal-like. These results depict the unanticipated high heterogeneity of pancreatic cancers and demonstrated that basal-like cells with a high aggressive phenotype are more widespread than expected.

cancer biology↗