Oncogenic KRAS engages an RSK1/NF1 pathway to inhibit wild-type RAS signaling in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with limited treatment options. Although activating mutations of the KRAS GTPase are the predominant dependency present in >90% of PDAC patients, targeting KRAS mutants directly has been challenging in PDAC. Similarly, strategies targeting known KRAS downstream effectors have had limited clinical success due to feedback mechanisms, alternate pathways, and dose-limiting toxicities in normal tissues. Therefore, identifying additional functionally relevant KRAS interactions in PDAC may allow for a better understanding of feedback mechanisms and unveil potential therapeutic targets. Here, we used proximity labeling to identify protein interactors of active KRAS in PDAC cells. We expressed fusions of wild-type (WT) (BirA-KRAS4B), mutant (BirA-KRAS4B^G12D), and nontransforming cytosolic double mutant (BirA-KRAS4B^G12D/C185S) KRAS with the BirA biotin ligase in murine PDAC cells. Mass spectrometry analysis revealed that RSK1 selectively interacts with membrane-bound KRAS^G12D, and we demonstrate that this interaction requires NF1 and SPRED2. We find that membrane RSK1 mediates negative feedback on WT RAS signaling and impedes the proliferation of pancreatic cancer cells upon the ablation of mutant KRAS. Our findings link NF1 to the membrane-localized functions of RSK1 and highlight a role for WT RAS signaling in promoting adaptive resistance to mutant KRAS-specific inhibitors in PDAC.

A total of 60,430 new cases of pancreatic cancer were estimated for 2021, and the 5-y relative survival rate has consistently remained below 11% (1). About 85% of these pancreatic cancer tumors are pancreatic ductal adenocarcinoma (PDAC) (2). Poor outcomes of PDAC cases result from late diagnoses leading to unresectable and heterogeneous tumors as well as ineffective therapies, which only prolong survival on the order of months (3–5). Mutations in the KRAS proto-oncogene are present in over 90% of PDAC cases and are associated with a poor prognosis (6). Furthermore, mice expressing mutant KRAS in the pancreas develop precursor lesions, which sporadically progress into frank PDAC. This progression is accelerated when combined with other mutations or deletion of tumor suppressor genes (7–11). Additionally, independent studies have shown that the maintenance of murine PDAC cells require KRAS (12–14).As a RAS GTPase, KRAS acts as a molecular switch at the plasma membrane that relays growth factor signaling from receptor tyrosine kinases to downstream pathways such as RAF/MEK and PI3K/AKT (15). GTP binding alters the conformation of the KRAS G domain, thereby creating binding sites for downstream effectors to trigger enzymatic cascades that promote cell transformation (16–19). Intrinsically, KRAS slowly hydrolyzes GTP into GDP to halt signaling; however, GTPase activating proteins (GAPs) such as neurofibromin 1(NF1) catalyze this process (20). In contrast, guanine nucleotide exchange factors, such as son of sevenless homolog 1 (SOS1), catalyze the exchange of GTP for bound GDP. In most PDAC cases, KRAS is mutated at the 12th residue located in the G domain from glycine to either a valine (G12V), or more commonly, aspartate (G12D). These mutations sterically prevent the “arginine finger domain” of GAPs from entering the GTPase site, thereby blocking extrinsic allosteric GTPase activation and stabilizing RAS-GTP (21, 22). Activating mutations in KRAS constitutively trigger RAF/MEK and PI3K/AKT pathways leading to increased cell proliferation as well as other prooncogenic behaviors (15). KRAS signaling not only relies on the G domain but also the C-terminal hypervariable domain (HVR), which is required to stabilize KRAS on membranes where signaling is most efficient (23–26). Independent studies suggest that specific biochemical and cellular consequences of KRAS activation are attributed to the unique properties of the HVR of the predominant splice form KRAS4B, namely the polybasic domain and the lipid anchor (27–30). Localization of RAS proteins to the plasma membrane requires the prenylation of the CAAX motif (23). Additionally, for KRAS4B, the hypervariable region contains a highly polybasic domain consisting of several consecutive lysines, which can interact with the negative charges on the polar heads of phospholipids and stabilize protein interactions (31). Structural and biochemical characterization of the HVR and G domain has contributed to a better understanding of the signaling outputs of KRAS and led to KRAS-targeting strategies.Various approaches to inhibit KRAS include direct inhibition, expression interference, mislocalization, and targeting of downstream effectors (32). Thus far, direct inhibitors against KRAS have only successfully targeted the G12C mutant, which comprises 2.9% of KRAS mutant PDAC (21, 33). For other KRAS mutants, targeting downstream effectors of KRAS in pancreatic cancer remains an alternative approach. Unfortunately, dual inhibition of MEK and AKT pathways was ineffective in PDAC patients (34). Difficulty in targeting KRAS due to adaptive resistance and feedback regulation motivates a better understanding of KRAS biology (35). For example, although PDAC typically features a mutant KRAS, there may be a role for its wild-type (WT) counterpart as well as WT RAS paralogs (HRAS and NRAS), which are GAP sensitive and subject to signaling feedback. While oncogenic KRAS has been shown to activate WT HRAS and NRAS via allosteric stimulation of SOS1 (36), WT KRAS has been proposed to be a tumor suppressor in some KRAS mutant cancers based on the commonly observed mutant-specific allele imbalance that occurs throughout tumor progression (37). Additionally, the reintroduction of WT KRAS abolished tumor T cell acute lymphoblastic leukemia development and impaired tumor growth in KRAS mutant lung cancer cells in vivo (37–39). The discovery of novel KRAS protein interactors involved in downstream signaling or feedback and compensatory pathways may elucidate why inhibition of downstream pathways have had limited clinical impact in PDAC. Here, we perform proximity labeling experiments by expressing a fusion of BirA^R118G biotin ligase and KRAS in PDAC cells, which, in the presence of high concentrations of biotin, generates reactive biotinoyl-AMP that labels lysines of nearby proteins, such as interactors of its fusion partner KRAS (40–42). The biotinylated interactor proteins can be isolated by streptavidin pulldown and analyzed by proteomics to identify novel protein interactors (43–45). Because covalent labeling occurs in living cells, enzymatic labeling may potentially identify transient interactors and protein complexes.Two recent studies used proximity-dependent biotin identification (BioID) labeling methods to identify KRAS interactors in 293T and colon cancer cells (46, 47). These studies uncovered and validated the functional relevance of PIP5KA1 and mTORC2 in PDAC cells. However, BirA-KRAS screens in PDAC models have not yet been performed. Since the tumor context may determine protein expression and relevant interactions, we sought to perform a BirA-KRAS screen in PDAC cells. We hypothesize that proximity labeling with BioID presents a means for identifying new mutant KRAS-specific interactions in PDAC, which may unveil new insights into therapeutic design for this malignancy.     

Genetic hyperferritinaemia and reticuloendothelial iron overload associated with a three base pair deletion in the coding region of the ferroportin gene (SLC11A3)

Iron overload may predominantly involve parenchymal or reticuloendothelial cells, the prototype of parenchymal iron overload being HFE-related genetic haemochromatosis. We studied a family with autosomal dominant hyperferritinaemia in whom the proband showed selective iron accumulation in the Kupffer cells on liver biopsy. Analysis of L and H ferritin genes excluded mutations responsible for hereditary hyperferritinaemia/cataract syndrome or similar translational disorders. Sequence analysis of the ferroportin gene (SLC11A3) in four individuals with hyperferritinaemia singled out a three base pair deletion in a region that contains four TTG repeats. This mutation removes a TTG unit from 780 to 791, and predicts the loss of one of three sequential valine residues 160-162. Denaturing high performance liquid chromatography can be used for its detection. SLC11A3 polymorphism analysis indicates that this probably represents a recurrent mutation due to slippage mispairing. Affected individuals may show marginally low serum iron and transferrin saturation, and young women may have marginally low haemoglobin concentration levels. Serum ferritin levels are directly related to age, but are 10-20 times higher than normal. Heterozygosity for the ferroportin Val 162 deletion represents the prototype of selective reticuloendothelial iron overload, and should be taken into account in the differential diagnosis of hereditary or congenital hyperferritinaemias.     

The effect of cannabis on oxidative stress and neurodegeneration induced by intrastriatal rotenone injection in rats

We investigated the effect of cannabis treatment on the development of oxidative stress and nigrostriatal cell injury induced by intrastriatal rotenone injection in rats. Rotenone was injected into the right striatum at a concentration of 5 mM (3 μl/rat). The control rats received the vehicle (DMSO). Subsequently, the effect of Cannabis sativa extract treatment on rotenone toxicity was evaluated. Starting on the second day of rotenone injection, rats were treated with C. sativa extract (5, 10, or 15 mg/kg) (expressed as Δ⁹-tetrahydrocannabinol) subcutaneously (s.c.) once daily for 30 days. Biochemical markers of oxidative stress, malondialdehyde (MDA), reduced glutathione (GSH), nitric oxide, paraoxonase 1 (PON1) activity, catalase activity, as well as tumor necrosis factor alpha (TNF-α), were determined in different brain areas after 30 days of rotenone treatment. Histopathology and immunohistochemical expression of tyrosine hydroxylase (TH), capase 3, and inducible nitric oxide synthase (iNOS) were also performed. Results showed that intrastriatal injection of rotenone resulted in increased brain oxidative stress in the cerebral cortex, striatum, hippocampus, midbrain, and cerebellum. MDA increased by 41.4–70 %, nitric oxide increased by 48.3–77.5 %, while GSH decreased by 25.0–34.2 %. PON1 and catalase activities decreased by 43.0–60.8 % and by 14.2–36 %, respectively, in these areas. Striatal TNF-α increased by 638.9 % of control value after rotenone injection. Rotenone induced motor deficits (decreased rearing activity). Rotenone caused marked nigrostriatal neurodegeneration, decreased TH immunoreactivity, and increased both iNOS and caspase 3 immunoreactivities in the striatum. Cannabis decreased brain oxidative stress and nitric oxide release induced by intrastriatal rotenone in several brain areas. Cannabis also decreased the elevated TNF-α in the striatum. Cannabis did not protect against the immunohistochemical changes in the striatum and substantia nigra or against neuronal degeneration induced by rotenone treatment. Collectively, these results indicated that the administration of cannabis did not protect against nigrostriatal damage caused by intrastriatal rotenone.     

Third-Generation-Cephalosporin-Resistant Klebsiella pneumoniae Isolates from Humans and Companion Animals in Switzerland: Spread of a DHA-Producing Sequence Type 11 Clone in a Veterinary Setting

Characterization of third-generation-cephalosporin-resistant Klebsiella pneumoniae isolates originating mainly from one human hospital (n = 22) and one companion animal hospital (n = 25) in Bern (Switzerland) revealed the absence of epidemiological links between human and animal isolates. Human infections were not associated with the spread of any specific clone, while the majority of animal infections were due to K. pneumoniae sequence type 11 isolates producing plasmidic DHA AmpC. This clonal dissemination within the veterinary hospital emphasizes the need for effective infection control practices.     

The Early Cognitive Development of Children at High Risk of Developing an Eating Disorder

Diagnosis of an eating disorder (ED) has been associated with differences in cognition. Recent evidence suggests that differences may be present prior to onset. Children at familial high risk for ED show cognitive differences at ages 8–10 years. Research is required to investigate differences in cognitive development at various time points. This is the first study to investigate cognitive development in children at high risk at 18 months (Griffiths Mental Development Scale; n = 982) and 4 years old (Wechsler Preschool and Primary Scale of Intelligence—Revised; n = 582), in comparison with children not at risk, using a general population sample, the Avon Longitudinal Study of Parents and Children. Children of women with lifetime anorexia nervosa revealed difficulties in social understanding, visual‐motor function, planning and abstract reasoning. Cognitive differences observed here have also been observed in clinical groups. This suggests difficulties may be present prior to onset, potentially affecting risk status for development of ED. Findings contribute to an understanding of aetiology, and design of prevention/intervention strategies. Copyright © 2013 The Authors. European Eating Disorders Review published by John Wiley & Sons Ltd.