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Dive into the research topics where Salvatore La Rosa is active.

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Featured researches published by Salvatore La Rosa.


Scientific Data | 2017

A high-throughput molecular data resource for cutaneous neurofibromas

Sara J.C. Gosline; Hubert Weinberg; Pamela Knight; Thomas Yu; Xindi Guo; Nripesh Prasad; Angela Jones; Shristi Shrestha; Braden Boone; Shawn Levy; Salvatore La Rosa; Justin Guinney; Annette Bakker

Neurofibromatosis type 1 (NF1) is a genetic disorder with a range of clinical manifestations such as widespread growth of benign tumours called neurofibromas, pain, learning disorders, bone deformities, vascular abnormalities and even malignant tumours. With the establishment of the Children’s Tumour Foundation biobank, neurofibroma samples can now be collected directly from patients to be analysed by the larger scientific community. This work describes a pilot study to characterize one class of neurofibroma, cutaneous neurofibromas, by molecularly profiling of ~40 cutaneous neurofibromas collected from 11 individual patients. Data collected from each tumour includes (1) SNP Arrays, (2) Whole genome sequencing (WGS) and (3) RNA-Sequencing. These data are now freely available for further analysis at http://www.synapse.org/cutaneousNF.


Genome Medicine | 2017

Creating a data resource: what will it take to build a medical information commons?

Patricia A. Deverka; Mary A. Majumder; Angela G. Villanueva; Margaret Anderson; Annette C. Bakker; Jessica Bardill; Eric Boerwinkle; Tania Bubela; Barbara J. Evans; Nanibaa’ A. Garrison; Richard A. Gibbs; Robert Gentleman; David Glazer; Melissa M. Goldstein; Henry T. Greely; Crane Harris; Bartha Maria Knoppers; Barbara A. Koenig; Isaac S. Kohane; Salvatore La Rosa; John Mattison; Christopher J. O’Donnell; Arti K. Rai; Heidi L. Rehm; Laura Lyman Rodriguez; Robert Shelton; Tania Simoncelli; Sharon F. Terry; Michael S. Watson; John Wilbanks

National and international public–private partnerships, consortia, and government initiatives are underway to collect and share genomic, personal, and healthcare data on a massive scale. Ideally, these efforts will contribute to the creation of a medical information commons (MIC), a comprehensive data resource that is widely available for both research and clinical uses. Stakeholder participation is essential in clarifying goals, deepening understanding of areas of complexity, and addressing long-standing policy concerns such as privacy and security and data ownership. This article describes eight core principles proposed by a diverse group of expert stakeholders to guide the formation of a successful, sustainable MIC. These principles promote formation of an ethically sound, inclusive, participant-centric MIC and provide a framework for advancing the policy response to data-sharing opportunities and challenges.


Progress in Neurobiology | 2017

Neurofibromatosis as a gateway to better treatment for a variety of malignancies

Annette Bakker; Salvatore La Rosa; Larry S. Sherman; Pamela Knight; Hyerim Lee; Patrice Pancza; Marco Nievo

HighlightsNeurofibromatoses consist of three disecting disorders: NF1, NF2 and schwannomatosis.The current state of the art on research efforts on the three disorders is reviewed.Gorlin syndrome research should serve as model to develop NF‐specific drugs that could also benefit other disease areas. ABSTRACT The neurofibromatoses (NF) are a group of rare genetic disorders that can affect all races equally at an incidence from 1:3000 (NF1) to a log unit lower for NF2 and schwannomatosis. Since the research community is reporting an increasing number of malignant cancers that carry mutations in the NF genes, the general interest of both the research and pharma community is increasing and the authors saw an opportunity to present a novel, fresh approach to drug discovery in NF. The aim of the paper is to challenge the current drug discovery approach to NF, whereby existing targeted therapies that are either in the clinic or on the market for other disease indications are repurposed for NF. We offer a suggestion for an alternative drug discovery approach. In the new approach, selective and tolerable targeted therapies would be developed for NF and later expanded to patients with more complex diseases such as malignant cancer in which the NF downstream pathways are deregulated. The Childrens Tumor Foundation, together with some other major NF funders, is playing a key role in funding critical initiatives that will accelerate the development of better targeted therapies for NF patients, while these novel, innovative treatments could potentially be beneficial to molecularly characterized cancer patients in which NF mutations have been identified.


PLOS ONE | 2018

Traditional and systems biology based drug discovery for the rare tumor syndrome neurofibromatosis type 2

Robert J. Allaway; Steve Angus; Roberta L. Beauchamp; Jaishri O. Blakeley; Marga Bott; Sarah S. Burns; Annemarie Carlstedt; Long-Sheng Chang; Xin Chen; D. Wade Clapp; Patrick DeSouza; Serkan Erdin; Cristina Fernandez-Valle; Justin Guinney; James F. Gusella; Stephen J. Haggarty; Gary L. Johnson; Salvatore La Rosa; Helen Morrison; Alejandra M. Petrilli; Scott R. Plotkin; Abhishek Pratap; Vijaya Ramesh; Noah Sciaky; Anat Stemmer-Rachamimov; Tim J. Stuhlmiller; Michael E. Talkowski; D. Bradley Welling; Charles W. Yates; Jon S. Zawistowski

Neurofibromatosis 2 (NF2) is a rare tumor suppressor syndrome that manifests with multiple schwannomas and meningiomas. There are no effective drug therapies for these benign tumors and conventional therapies have limited efficacy. Various model systems have been created and several drug targets have been implicated in NF2-driven tumorigenesis based on known effects of the absence of merlin, the product of the NF2 gene. We tested priority compounds based on known biology with traditional dose-concentration studies in meningioma and schwann cell systems. Concurrently, we studied functional kinome and gene expression in these cells pre- and post-treatment to determine merlin deficient molecular phenotypes. Cell viability results showed that three agents (GSK2126458, Panobinostat, CUDC-907) had the greatest activity across schwannoma and meningioma cell systems, but merlin status did not significantly influence response. In vivo, drug effect was tumor specific with meningioma, but not schwannoma, showing response to GSK2126458 and Panobinostat. In culture, changes in both the transcriptome and kinome in response to treatment clustered predominantly based on tumor type. However, there were differences in both gene expression and functional kinome at baseline between meningioma and schwannoma cell systems that may form the basis for future selective therapies. This work has created an openly accessible resource (www.synapse.org/SynodosNF2) of fully characterized isogenic schwannoma and meningioma cell systems as well as a rich data source of kinome and transcriptome data from these assay systems before and after treatment that enables single and combination drug discovery based on molecular phenotype.


Archive | 2018

2018 AACR Drug Target Explorer

Robert J. Allaway; Sara J. C. Gosline; Marco Nievo; Salvatore La Rosa; Annette Bakker; Justin Guinney

In the modern drug discovery process, high-throughput screens of drugs are a common and important step in the identification of novel treatments. Frequently, these screens are phenotypic; i.e. they test compounds with known or unknown mechanisms of action in a biological model and evaluate a phenotype. While these types of screens facilitate the identification of active molecules, they also present challenges, including: (1) Identifying the mechanism(s) of action of a compound(2) literature frequently disagrees on drug targets(3) Identifying common targets within screen hits(4) Interpretation of polypharmacologic compounds(5) Identifying structurally/functionally related molecules Multiple tools and databases exist that address these challenges. The majority of these tools allow users to explore drug-target relationships. However, none of the tools fulfill all of the criteria listed in Table 1 of the poster. To address this, we developed the Drug-Target Explorer. This tool enables the user to: (1) look up targets for molecules,(2) explore networks of targets and drugs,(3) perform gene list enrichment of targets(4) compare query molecules to cancer screening datasets(5) discover bioactive molecules using a query target We anticipate that the users will include biologists and chemists involved in drug discovery who are interested in performing hypothesis generation of human targets for novel molecules, identifying off-targets for bioactive small molecules of interest, and exploring of the polypharmacologic nature of small molecules.


Neuro-oncology | 2018

EPH receptor signaling as a novel therapeutic target in NF2-deficient meningioma

Steven P. Angus; Janet L. Oblinger; Timothy J. Stuhlmiller; Patrick DeSouza; Roberta L. Beauchamp; Luke Witt; Xin Chen; Justin T. Jordan; Thomas S. K. Gilbert; Anat Stemmer-Rachamimov; James F. Gusella; Scott R. Plotkin; Stephen J. Haggarty; Long-Sheng Chang; Gary L. Johnson; Vijaya Ramesh; Annette Bakker; Salvatore La Rosa; Wade Clapp; Jaishri O. Blakeley; Helen Morrison; Bradley Welling; James Gusella; Stephen Haggarty; Scott Plotkin; Robert J. Allaway; Abhishek Pratap; Justin Guinney; Sage Bionetworks; Cristina Fernandez-Valle

Background Meningiomas are the most common primary brain tumor in adults, and somatic loss of the neurofibromatosis 2 (NF2) tumor suppressor gene is a frequent genetic event. There is no effective treatment for tumors that recur or continue to grow despite surgery and/or radiation. Therefore, targeted therapies that either delay tumor progression or cause tumor shrinkage are much needed. Our earlier work established mammalian target of rapamycin complex mTORC1/mTORC2 activation in NF2-deficient meningiomas. Methods High-throughput kinome analyses were performed in NF2-null human arachnoidal and meningioma cell lines to identify functional kinome changes upon NF2 loss. Immunoblotting confirmed the activation of kinases and demonstrated effectiveness of drugs to block the activation. Drugs, singly and in combination, were screened in cells for their growth inhibitory activity. Antitumor drug efficacy was tested in an orthotopic meningioma model. Results Erythropoietin-producing hepatocellular receptor tyrosine kinases (EPH RTKs), c-KIT, and Src family kinase (SFK) members, which are biological targets of dasatinib, were among the top candidates activated in NF2-null cells. Dasatinib significantly inhibited phospho-EPH receptor A2 (pEPHA2), pEPHB1, c-KIT, and Src/SFK in NF2-null cells, showing no cross-talk with mTORC1/2 signaling. Posttreatment kinome analyses showed minimal adaptive changes. While dasatinib treatment showed some activity, dual mTORC1/2 inhibitor and its combination with dasatinib elicited stronger growth inhibition in meningiomas. Conclusion Co-targeting mTORC1/2 and EPH RTK/SFK pathways could be a novel effective treatment strategy for NF2-deficient meningiomas.


Journal of Cheminformatics | 2018

Probing the chemical–biological relationship space with the Drug Target Explorer

Robert J. Allaway; Salvatore La Rosa; Justin Guinney; Sara J.C. Gosline

Modern phenotypic high-throughput screens (HTS) present several challenges including identifying the target(s) that mediate the effect seen in the screen, characterizing ‘hits’ with a polypharmacologic target profile, and contextualizing screen data within the large space of drugs and screening models. To address these challenges, we developed the Drug–Target Explorer. This tool allows users to query molecules within a database of experimentally-derived and curated compound-target interactions to identify structurally similar molecules and their targets. It enables network-based visualizations of the compound-target interaction space, and incorporates comparisons to publicly-available in vitro HTS datasets. Furthermore, users can identify molecules using a query target or set of targets. The Drug Target Explorer is a multifunctional platform for exploring chemical space as it relates to biological targets, and may be useful at several steps along the drug development pipeline including target discovery, structure–activity relationship, and lead compound identification studies.


British Journal of Cancer | 2018

Cutaneous neurofibromas in the genomics era: current understanding and open questions

Robert J. Allaway; Sara J.C. Gosline; Salvatore La Rosa; Pamela Knight; Annette Bakker; Justin Guinney; Lu Q. Le

Cutaneous neurofibromas (cNF) are a nearly ubiquitous symptom of neurofibromatosis type 1 (NF1), a disorder with a broad phenotypic spectrum caused by germline mutation of the neurofibromatosis type 1 tumour suppressor gene (NF1). Symptoms of NF1 can include learning disabilities, bone abnormalities and predisposition to tumours such as cNFs, plexiform neurofibromas, malignant peripheral nerve sheath tumours and optic nerve tumours. There are no therapies currently approved for cNFs aside from elective surgery, and the molecular aetiology of cNF remains relatively uncharacterised. Furthermore, whereas the biallelic inactivation of NF1 in neoplastic Schwann cells is critical for cNF formation, it is still unclear which additional genetic, transcriptional, epigenetic, microenvironmental or endocrine changes are important. Significant inroads have been made into cNF understanding, including NF1 genotype–phenotype correlations in NF1 microdeletion patients, the identification of recurring somatic mutations, studies of cNF-invading mast cells and macrophages, and clinical trials of putative therapeutic targets such as mTOR, MEK and c-KIT. Despite these advances, several gaps remain in our knowledge of the associated pathogenesis, which is further hampered by a lack of translationally relevant animal models. Some of these questions may be addressed in part by the adoption of genomic analysis techniques. Understanding the aetiology of cNF at the genomic level may assist in the development of new therapies for cNF, and may also contribute to a greater understanding of NF1/RAS signalling in cancers beyond those associated with NF1. Here, we summarise the present understanding of cNF biology, including the pathogenesis, mutational landscape, contribution of the tumour microenvironment and endocrine signalling, and the historical and current state of clinical trials for cNF. We also highlight open access data resources and potential avenues for future research that leverage recently developed genomics-based methods in cancer research.


Embo Molecular Medicine | 2017

Rethinking the nonprofit foundation: an emerging niche in the rare disease ecosystem

Annette Bakker; Salvatore La Rosa

In recent years, medical foundations have become increasingly influential, and now play an instrumental and integral role in the research and development of their disease area of interest. While some foundations have directly invested in taking drug candidates to the clinic, others have focused on creating specific tools for accelerating the identification and development of effective treatments. Here, we describe a new model, developed by the Childrens Tumor Foundation (CTF), by which foundations may play a role in the rare disease ecosystem. On the one hand, the CTF uses its position to build bridges between academic scientists, biotech and pharmaceutical companies, and patients, to accelerate the development of treatments that really matter most to patients. On the other hand, it acts as a niche investor to fund an integrated platform for critical R&D endeavors—including elements such as a patient registry, biobank, and open data platforms—which smoothen the transition from basic discovery to clinical benefit. Currently, the Childrens Tumor Foundation is launching a call to top finance experts to collaborate on building an innovative model that will guarantee long‐term sustainability of this integrated platform (Fig ).


Cancer Research | 2016

Abstract 772: The molecular landscape of dermal neurofibromatosis

Sara J.C. Gosline; Pamela Knight; Thomas Yu; Nripesh Prasad; Angela Jones; Shristi Shrestha; Braden Boone; Shawn Levy; Andrew J. Link; Allison C. Galassie; Hubert Weinberg; Stephen H. Friend; Salvatore La Rosa; Justin Guinney; Annette Bakker

Background: Neurofibromatosis type I (NF1) is a genetic disorder that disrupts neurological tissue growth and can lead to a diverse set of symptoms including systematic growth of benign tumors, learning disorders and bone deformities. It is a rare disease occurring in only 1 in 3,000 people worldwide. While the disease has been linked to loss of function in the NF1 gene - a known tumor suppressor - there is a high degree of phenotypic diversity in the NF1 patient population, making it difficult to identify the underlying cause of the disease and treat it effectively. In this work we seek to improve overall knowledge of dermal NF1 through global molecular characterization of the disease. Methods: We have collected four dermal neurofibromas and peripheral blood from each of 11 NF1 patients. We analyzed each sample using (1) Whole genome sequencing (WGS) on the Illumina HiSeq X platform, (2) Illumina OMNI2.5 Arrays (3) RNA-Sequencing on an Illumina HiSeq v4 machine and (4) iTRAQ-labeled proteomics. WGS data for both tumor and blood samples from each patient were used to identify patient-specific germ-line mutations as well as tumor-specific somatic mutations in each sample. Single nucleotide polymorphisms identified by the OMNI Arrays were used to identify copy number alterations in both blood and tumor samples. RNA-Seq data and proteomics data were mapped to transcripts and proteins respectively. Results: Preliminary analysis of this data illustrates a diverse genomic landscape of NF1. Hierarchical clustering of copy number alterations largely show samples clustering by tissue, suggesting that most copy number alterations are somatic and not shared across the germline. However, there are two patients that show germline copy number alterations, including one patient with loss in the NF1 region. WGS analysis suggests similar diversity with each patient possessing a distinct combination of germline and somatic mutations of NF1 and other cancer-related genes. Cluster analysis of the RNA-Seq data shows no patient-specific clusters, suggesting that that each tumor executes a unique transcriptional program. Conclusion: This work represents a first-ever attempt to profile the diversity of dermal neurofibromatosis at a molecular level. Preliminary analysis of the data underscores the complexity of this disease and explains, in part, previous difficulty in identifying effective treatments. Ongoing work includes expanding the analysis to include more patient samples and other types of NF1-derived tumors. As an orphan disease, NF1 has been poorly characterized compared to more common cancers. To rectify this, the Children9s Tumor Foundation and Sage Bionetworks are collaborating to make NF1 data available to the public to accelerate research and the drug discovery pipeline. We expect that this data will be a resource for other NF1 researchers to assist in the study of this disease at the molecular level. All data and preliminary results are publicly available at http://www.synapse.org/dermalNF Citation Format: Sara JC Gosline, Pamela Knight, Thomas Yu, Nripesh Prasad, Angela Jones, Shristi Shrestha, Braden Boone, Shawn E. Levy, Andrew J. Link, Allison C. Galassie, Hubert Weinberg, Stephen Friend, Salvatore La Rosa, Justin Guinney, Annette Bakker. The molecular landscape of dermal neurofibromatosis. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 772.

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Gary L. Johnson

University of North Carolina at Chapel Hill

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Helen Morrison

National Institutes of Health

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Hubert Weinberg

Icahn School of Medicine at Mount Sinai

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