Met, the receptor for hepatocyte growth factor (HGF), is activated in human cancer by both ligand-dependent and -independent mechanisms. We engineered a soluble Met receptor (decoy Met) that interferes with both HGF binding to Met and Met homodimerization. By lentiviral vector technology, we achieved local or systemic delivery of decoy Met in mice. We provide evidence that in vivo expression of decoy Met (1) inhibits tumor cell proliferation and survival in a variety of human xenografts, (2) impairs tumor angiogenesis by preventing host vessel arborization, (3) suppresses or prevents the formation of spontaneous metastases, and (4) synergizes with radiotherapy in inducing tumor regression, without (5) affecting housekeeping physiological functions in the adult animal.

The close relationship between activation of blood coagulation and cancer is an old enigma. In 1865, migrans trombophlebitis ('a condition of the blood that predisposes it to spontaneous coagulation') was described as a forewarning of occult malignancy (Trousseau's sign). This pioneering observation emphasized the existence of haemostasis disorders associated with cancer onset; this phenomenon has since been extensively reported in clinical and epidemiological studies, but has so far resisted a mechanistic explanation. Here we report a mouse model of sporadic tumorigenesis based on genetic manipulation of somatic cells. Targeting the activated, human MET oncogene to adult liver caused slowly progressing hepatocarcinogenesis. This was preceded and accompanied by a syndrome manifesting first with blood hypercoagulation (venous thromboses), and then evolving towards fatal internal haemorrhages. The pathogenesis of this syndrome is driven by the transcriptional response to the oncogene, including prominent upregulation of plasminogen activator inhibitor type 1 (PAI-1) and cyclooxygenase-2 (COX-2) genes. In vivo analysis showed that both proteins support the thrombohaemorrhagic phenotype, thus providing direct genetic evidence for the long-sought-after link between oncogene activation and haemostasis.

The microenvironment influences cancer drug response and sustains resistance to therapies targeting receptor-tyrosine kinases. However, if and how the tumor microenvironment can be altered during treatment, contributing to resistance onset, is not known. We show that, under prolonged treatment with tyrosine kinase inhibitors (TKIs), EGFR- or MET-addicted cancer cells displayed a metabolic shift toward increased glycolysis and lactate production. We identified secreted lactate as the key molecule instructing cancer-associated fibroblasts to produce hepatocyte growth factor (HGF) in a nuclear factor κB-dependent manner. Increased HGF, activating MET-dependent signaling in cancer cells, sustained resistance to TKIs. Functional or pharmacological targeting of molecules involved in the lactate axis abrogated in vivo resistance, demonstrating the crucial role of this metabolite in the adaptive process. This adaptive resistance mechanism was observed in lung cancer patients progressed on EGFR TKIs, demonstrating the clinical relevance of our findings and opening novel scenarios in the challenge to drug resistance.

Background: Plexins are a large family of transmembrane receptors for the Semaphorins, known for their role in the assembly of neural circuitry. More recently, Plexins have been implicated in diverse biological functions, including vascular growth, epithelial tissue morphogenesis and tumour development. In particular, PlexinB1, the receptor for Sema4D, has been suggested to play a role in neural development and in tumour angiogenesis, based on in vitro studies. However, the tissue distribution of PlexinB1 has not been extensively studied and the functional relevance of this receptor in vivo still awaits experimental testing. In order to shed light on PlexinB1 function in vivo, we therefore undertook the genomic targeting of the mouse gene to obtain loss of function mutants.

Gastric cancer is the world's third leading cause of cancer mortality. In spite of significant therapeutic improvements, the clinical outcome for patients with advanced gastric cancer is poor; thus, the identification and validation of novel targets is extremely important from a clinical point of view. We generated a wide, multilevel platform of gastric cancer models, comprising 100 patient-derived xenografts (PDX), primary cell lines, and organoids. Samples were classified according to their histology, microsatellite stability, Epstein-Barr virus status, and molecular profile. This PDX platform is the widest in an academic institution, and it includes all the gastric cancer histologic and molecular types identified by The Cancer Genome Atlas. PDX histopathologic features were consistent with those of patients' primary tumors and were maintained throughout passages in mice. Factors modulating grafting rate were histology, TNM stage, copy number gain of tyrosine kinases/KRAS genes, and microsatellite stability status. PDX and PDX-derived cells/organoids demonstrated potential use-fulness to study targeted therapy response. Finally, PDX transcriptomic analysis identified a cancer cell-intrinsic microsatellite instability (MSI) signature, which was efficiently exported to gastric cancer, allowing the identification, among microsatellite stable (MSS) patients, of a subset of MSI-like tumors with common molecular aspects and significant better prognosis. In conclusion, we generated a wide gastric cancer PDX platform, whose exploitation will help identify and validate novel "druggable" targets and optimize therapeutic strategies. Moreover, transcriptomic analysis of gastric cancer PDXs allowed the identification of a cancer cell-intrinsic MSI signature, recognizing a subset of MSS patients with MSI transcriptional traits, endowed with better prognosis.Significance: This study reports a multilevel platform of gastric cancer PDXs and identifies a MSI gastric signature that could contribute to the advancement of precision medicine in gastric cancer.