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Dive into the research topics where Federica Piccioni is active.

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Featured researches published by Federica Piccioni.


Cell | 2014

KRAS and YAP1 converge to regulate EMT and tumor survival

Diane D. Shao; Wen Xue; Elsa Beyer Krall; Arjun Bhutkar; Federica Piccioni; Xiaoxing Wang; Anna C. Schinzel; Sabina Sood; Joseph Rosenbluh; Jong W. Kim; Yaara Zwang; Thomas M. Roberts; David E. Root; Tyler Jacks; William C. Hahn

Cancer cells that express oncogenic alleles of RAS typically require sustained expression of the mutant allele for survival, but the molecular basis of this oncogene dependency remains incompletely understood. To identify genes that can functionally substitute for oncogenic RAS, we systematically expressed 15,294 open reading frames in a human KRAS-dependent colon cancer cell line engineered to express an inducible KRAS-specific shRNA. We found 147 genes that promoted survival upon KRAS suppression. In particular, the transcriptional coactivator YAP1 rescued cell viability in KRAS-dependent cells upon suppression of KRAS and was required for KRAS-induced cell transformation. Acquired resistance to Kras suppression in a Kras-driven murine lung cancer model also involved increased YAP1 signaling. KRAS and YAP1 converge on the transcription factor FOS and activate a transcriptional program involved in regulating the epithelial-mesenchymal transition (EMT). Together, these findings implicate transcriptional regulation of EMT by YAP1 as a significant component of oncogenic RAS signaling.


Nature | 2013

A melanocyte lineage program confers resistance to MAP kinase pathway inhibition

Cory M. Johannessen; Laura A. Johnson; Federica Piccioni; Aisha Townes; Dennie T. Frederick; Melanie K. Donahue; Rajiv Narayan; Keith T. Flaherty; Jennifer A. Wargo; David E. Root; Levi A. Garraway

Malignant melanomas harbouring point mutations (Val600Glu) in the serine/threonine-protein kinase BRAF (BRAF(V600E)) depend on RAF–MEK–ERK signalling for tumour cell growth. RAF and MEK inhibitors show remarkable clinical efficacy in BRAF(V600E) melanoma; however, resistance to these agents remains a formidable challenge. Global characterization of resistance mechanisms may inform the development of more effective therapeutic combinations. Here we carried out systematic gain-of-function resistance studies by expressing more than 15,500 genes individually in a BRAF(V600E) melanoma cell line treated with RAF, MEK, ERK or combined RAF–MEK inhibitors. These studies revealed a cyclic-AMP-dependent melanocytic signalling network not previously associated with drug resistance, including G-protein-coupled receptors, adenyl cyclase, protein kinase A and cAMP response element binding protein (CREB). Preliminary analysis of biopsies from BRAF(V600E) melanoma patients revealed that phosphorylated (active) CREB was suppressed by RAF–MEK inhibition but restored in relapsing tumours. Expression of transcription factors activated downstream of MAP kinase and cAMP pathways also conferred resistance, including c-FOS, NR4A1, NR4A2 and MITF. Combined treatment with MAPK-pathway and histone-deacetylase inhibitors suppressed MITF expression and cAMP-mediated resistance. Collectively, these data suggest that oncogenic dysregulation of a melanocyte lineage dependency can cause resistance to RAF–MEK–ERK inhibition, which may be overcome by combining signalling- and chromatin-directed therapeutics.


Cancer Cell | 2015

A Functional Landscape of Resistance to ALK Inhibition in Lung Cancer

Frederick H. Wilson; Cory M. Johannessen; Federica Piccioni; Pablo Tamayo; Jong Wook Kim; Eliezer M. Van Allen; Steven M. Corsello; Marzia Capelletti; Antonio Calles; Mohit Butaney; Tanaz Sharifnia; Stacey Gabriel; Jill P. Mesirov; William C. Hahn; Jeffrey A. Engelman; Matthew Meyerson; David E. Root; Pasi A. Jänne; Levi A. Garraway

We conducted a large-scale functional genetic study to characterize mechanisms of resistance to ALK inhibition in ALK-dependent lung cancer cells. We identify members of known resistance pathways and additional putative resistance drivers. Among the latter were members of the P2Y purinergic receptor family of G-protein-coupled receptors (P2Y1, P2Y2, and P2Y6). P2Y receptors mediated resistance in part through a protein-kinase-C (PKC)-dependent mechanism. Moreover, PKC activation alone was sufficient to confer resistance to ALK inhibitors, whereas combined ALK and PKC inhibition restored sensitivity. We observed enrichment of gene signatures associated with several resistance drivers (including P2Y receptors) in crizotinib-resistant ALK-rearranged lung tumors compared to treatment-naive controls, supporting a role for these identified mechanisms in clinical ALK inhibitor resistance.


Autophagy | 2012

MAPK15/ERK8 stimulates autophagy by interacting with LC3 and GABARAP proteins

David Colecchia; Angela Strambi; Sveva Sanzone; Carlo Iavarone; Matteo Rossi; Claudia Dall’Armi; Federica Piccioni; Arturo Verrotti di Pianella; Mario Chiariello

Macroautophagy (hereafter referred to as autophagy) is an evolutionarily conserved catabolic process necessary for normal recycling of cellular constituents and for appropriate response to cellular stress. Although several genes belonging to the core molecular machinery involved in autophagosome formation have been discovered, relatively little is known about the nature of signaling networks controlling autophagy upon intracellular or extracellular stimuli. We discovered ATG8-like proteins (MAP1LC3B, GABARAP and GABARAPL1) as novel interactors of MAPK15/ERK8, a MAP kinase involved in cell proliferation and transformation. Based on the role of these proteins in the autophagic process, we demonstrated that MAPK15 is indeed localized to autophagic compartments and increased, in a kinase-dependent fashion, ATG8-like proteins lipidation, autophagosome formation and SQSTM1 degradation, while decreasing LC3B inhibitory phosphorylation. Interestingly, we also identified a conserved LC3-interacting region (LIR) in MAPK15 responsible for its interaction with ATG8-like proteins, for its localization to autophagic structures and, consequently, for stimulation of the formation of these compartments. Furthermore, we reveal that MAPK15 activity was induced in response to serum and amino-acid starvation and that this stimulus, in turn, required endogenous MAPK15 expression to induce the autophagic process. Altogether, these results suggested a new function for MAPK15 as a regulator of autophagy, acting through interaction with ATG8 family proteins. Also, based on the key role of this process in several human diseases, these results supported the use of this MAP kinase as a potential novel therapeutic target.


Cancer Cell | 2016

High-throughput Phenotyping of Lung Cancer Somatic Mutations

Alice H. Berger; Angela N. Brooks; Xiaoyun Wu; Yashaswi Shrestha; Candace R. Chouinard; Federica Piccioni; Mukta Bagul; Atanas Kamburov; Marcin Imielinski; Larson Hogstrom; Cong Zhu; Xiaoping Yang; Sasha Pantel; Ryo Sakai; Jacqueline Watson; Nathan Kaplan; Joshua D. Campbell; Shantanu Singh; David E. Root; Rajiv Narayan; Ted Natoli; David L. Lahr; Itay Tirosh; Pablo Tamayo; Gad Getz; Bang Wong; John G. Doench; Aravind Subramanian; Todd R. Golub; Matthew Meyerson

Recent genome sequencing efforts have identified millions of somatic mutations in cancer. However, the functional impact of most variants is poorly understood. Here we characterize 194 somatic mutations identified in primary lung adenocarcinomas. We present an expression-based variant-impact phenotyping (eVIP) method that uses gene expression changes to distinguish impactful from neutral somatic mutations. eVIP identified 69% of mutations analyzed as impactful and 31% as functionally neutral. A subset of the impactful mutations induces xenograft tumor formation in mice and/or confers resistance to cellular EGFR inhibition. Among these impactful variants are rare somatic, clinically actionable variants including EGFR S645C, ARAF S214C and S214F, ERBB2 S418T, and multiple BRAF variants, demonstrating that rare mutations can be functionally important in cancer.


Cancer Discovery | 2016

Systematic functional interrogation of rare cancer variants identifies oncogenic alleles

Eejung Kim; Nina Ilic; Yashaswi Shrestha; Lihua Zou; Atanas Kamburov; Cong Zhu; Xiaoping Yang; Rakela Lubonja; Nancy Tran; Cindy Nguyen; Michael S. Lawrence; Federica Piccioni; Mukta Bagul; John G. Doench; Candace R. Chouinard; Xiaoyun Wu; Larson Hogstrom; Ted Natoli; Pablo Tamayo; Heiko Horn; Steven M. Corsello; Kasper Lage; David E. Root; Aravind Subramanian; Todd R. Golub; Gad Getz; Jesse S. Boehm; William C. Hahn

UNLABELLED Cancer genome characterization efforts now provide an initial view of the somatic alterations in primary tumors. However, most point mutations occur at low frequency, and the function of these alleles remains undefined. We have developed a scalable systematic approach to interrogate the function of cancer-associated gene variants. We subjected 474 mutant alleles curated from 5,338 tumors to pooled in vivo tumor formation assays and gene expression profiling. We identified 12 transforming alleles, including two in genes (PIK3CB, POT1) that have not been shown to be tumorigenic. One rare KRAS allele, D33E, displayed tumorigenicity and constitutive activation of known RAS effector pathways. By comparing gene expression changes induced upon expression of wild-type and mutant alleles, we inferred the activity of specific alleles. Because alleles found to be mutated only once in 5,338 tumors rendered cells tumorigenic, these observations underscore the value of integrating genomic information with functional studies. SIGNIFICANCE Experimentally inferring the functional status of cancer-associated mutations facilitates the interpretation of genomic information in cancer. Pooled in vivo screen and gene expression profiling identified functional variants and demonstrated that expression of rare variants induced tumorigenesis. Variant phenotyping through functional studies will facilitate defining key somatic events in cancer. Cancer Discov; 6(7); 714-26. ©2016 AACR.See related commentary by Cho and Collisson, p. 694This article is highlighted in the In This Issue feature, p. 681.


Proceedings of the National Academy of Sciences of the United States of America | 2014

Genetic modifiers of EGFR dependence in non-small cell lung cancer

Tanaz Sharifnia; Victor Rusu; Federica Piccioni; Mukta Bagul; Marcin Imielinski; Andrew D. Cherniack; Chandra Sekhar Pedamallu; Bang Wong; Frederick H. Wilson; Levi A. Garraway; David Altshuler; Todd R. Golub; David E. Root; Aravind Subramanian; Matthew Meyerson

Significance Non-small cell lung cancers (NSCLCs) harboring mutations in the epidermal growth factor receptor (EGFR) gene are often singularly reliant on EGFR activity for tumor cell survival, but the genetic basis for this dependence is not fully understood. In this study, we have performed a screen to identify a spectrum of kinase genes whose overexpression can overcome NSCLC cells’ reliance on EGFR. Using both unbiased and targeted approaches, we demonstrate that these genes commonly bypass dependence on EGFR through reactivation of downstream signaling pathways. Lung adenocarcinomas harboring activating mutations in the epidermal growth factor receptor (EGFR) represent a common molecular subset of non-small cell lung cancer (NSCLC) cases. EGFR mutations predict sensitivity to EGFR tyrosine kinase inhibitors (TKIs) and thus represent a dependency in NSCLCs harboring these alterations, but the genetic basis of EGFR dependence is not fully understood. Here, we applied an unbiased, ORF-based screen to identify genetic modifiers of EGFR dependence in EGFR-mutant NSCLC cells. This approach identified 18 kinase and kinase-related genes whose overexpression can substitute for EGFR in EGFR-dependent PC9 cells, and these genes include seven of nine Src family kinase genes, FGFR1, FGFR2, ITK, NTRK1, NTRK2, MOS, MST1R, and RAF1. A subset of these genes can complement loss of EGFR activity across multiple EGFR-dependent models. Unbiased gene-expression profiling of cells overexpressing EGFR bypass genes, together with targeted validation studies, reveals EGFR-independent activation of the MEK-ERK and phosphoinositide 3-kinase (PI3K)-AKT pathways. Combined inhibition of PI3K-mTOR and MEK restores EGFR dependence in cells expressing each of the 18 EGFR bypass genes. Together, these data uncover a broad spectrum of kinases capable of overcoming dependence on EGFR and underscore their convergence on the PI3K-AKT and MEK-ERK signaling axes in sustaining EGFR-independent survival.


Cell Reports | 2016

Phenotypic Characterization of a Comprehensive Set of MAPK1/ERK2 Missense Mutants

Lisa Brenan; Aleksandr Andreev; Ofir Cohen; Sasha Pantel; Atanas Kamburov; Davide Cacchiarelli; Nicole S. Persky; Cong Zhu; Mukta Bagul; Eva M. Goetz; Alex B. Burgin; Levi A. Garraway; Gad Getz; Tarjei S. Mikkelsen; Federica Piccioni; David E. Root; Cory M. Johannessen

Tumor-specific genomic information has the potential to guide therapeutic strategies and revolutionize patient treatment. Currently, this approach is limited by an abundance of disease-associated mutants whose biological functions and impacts on therapeutic response are uncharacterized. To begin to address this limitation, we functionally characterized nearly all (99.84%) missense mutants of MAPK1/ERK2, an essential effector of oncogenic RAS and RAF. Using this approach, we discovered rare gain- and loss-of-function ERK2 mutants found in human tumors, revealing that, in the context of this assay, mutational frequency alone cannot identify all functionally impactful mutants. Gain-of-function ERK2 mutants induced variable responses to RAF-, MEK-, and ERK-directed therapies, providing a reference for future treatment decisions. Tumor-associated mutations spatially clustered in two ERK2 effector-recruitment domains yet produced mutants with opposite phenotypes. This approach articulates an allele-characterization framework that can be scaled to meet the goals of genome-guided oncology.


RNA Biology | 2005

A cup full of functions.

Federica Piccioni; Vincenzo Zappavigna; Arturo C. Verrotti

Data from different laboratories have recently indicated that Cup is a multi-functional protein acting both during Drosophila ovary development and early embryogenesis. Cup directly and/or indirectly affects the activity of different mRNAs and proteins to achieve a broad range of biological functions: I) Cup interacts with Nanos to promote maintenance and survival of the female germ-line stem cells; II) it binds eIF4E and 3’-UTR-bound factors to repress translation of oskar and nanos mRNAs; III) it interacts genetically with eIF4E to control translation initiation during ovary development and growth; IV) it may play a role in the control of the phosphorylation status of eIF4E within the developing ovary; finally, V) it possesses nucleo-cytoplasmic shuttling properties thus pointing to a still uncharacterized function in the cell nucleus. A multi-disciplinary approach, ranging from genetics to proteomics, will be required to shed light on the diverse molecular mechanisms involving Cup and the growing family of its specific interactors.


PLOS ONE | 2015

Morphological Profiles of RNAi-Induced Gene Knockdown Are Highly Reproducible but Dominated by Seed Effects.

Shantanu Singh; Xiaoyun Wu; Vebjorn Ljosa; Mark-Anthony Bray; Federica Piccioni; David E. Root; John G. Doench; Jesse S. Boehm; Anne E. Carpenter

RNA interference and morphological profiling—the measurement of thousands of phenotypes from individual cells by microscopy and image analysis—are a potentially powerful combination. We show that morphological profiles of RNAi-induced knockdown using the Cell Painting assay are in fact highly sensitive and reproducible. However, we find that the magnitude and prevalence of off-target effects via the RNAi seed-based mechanism make morphological profiles of RNAi reagents targeting the same gene look no more similar than reagents targeting different genes. Pairs of RNAi reagents that share the same seed sequence produce image-based profiles that are much more similar to each other than profiles from pairs designed to target the same gene, a phenomenon previously observed in small-scale gene-expression profiling experiments. Various strategies have been used to enrich on-target versus off-target effects in the context of RNAi screening where a narrow set of phenotypes are measured, mostly based on comparing multiple sequences targeting the same gene; however, new approaches will be needed to make RNAi morphological profiling (that is, comparing multi-dimensional phenotypes) viable. We have shared our raw data and computational pipelines to facilitate research.

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Pablo Tamayo

University of California

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