PhIP-Seq characterization of autoantibodies from patients with multiple sclerosis, type 1 diabetes and rheumatoid arthritis.

Autoimmune disease results from a loss of tolerance to self-antigens in genetically susceptible individuals. Completely understanding this process requires that targeted antigens be identified, and so a number of techniques have been developed to determine immune receptor specificities. We previously reported the construction of a phage-displayed synthetic human peptidome and a proof-of-principle analysis of antibodies from three patients with neurological autoimmunity. Here we present data from a large-scale screen of 298 independent antibody repertoires, including those from 73 healthy sera, using phage immunoprecipitation sequencing. The resulting database of peptide-antibody interactions characterizes each individual's unique autoantibody fingerprint, and includes specificities found to occur frequently in the general population as well as those associated with disease. Screening type 1 diabetes (T1D) patients revealed a prematurely polyautoreactive phenotype compared with their matched controls. A collection of cerebrospinal fluids and sera from 63 multiple sclerosis patients uncovered novel, as well as previously reported antibody-peptide interactions. Finally, a screen of synovial fluids and sera from 64 rheumatoid arthritis patients revealed novel disease-associated antibody specificities that were independent of seropositivity status. This work demonstrates the utility of performing PhIP-Seq screens on large numbers of individuals and is another step toward defining the full complement of autoimmunoreactivities in health and disease.

STOP gene Phactr4 is a tumor suppressor.

Cancer develops through genetic and epigenetic alterations that allow unrestrained proliferation and increased survival. Using a genetic RNAi screen, we previously identified hundreds of suppressors of tumorigenesis and/or proliferation (STOP) genes that restrain normal cell proliferation. Our STOP gene set was significantly enriched for known and putative tumor suppressor genes. Here, we report a tumor-suppressive role for one STOP gene, phosphatase and actin regulator 4 (PHACTR4). Phactr4 is one of four members of the largely uncharacterized Phactr family of protein phosphatase 1 (PP1)-and actin-binding proteins. Our work suggests that Phactr4 restrains normal cell proliferation and transformation. Depletion of Phactr4 with multiple shRNAs leads to increased proliferation and soft agar colony formation. Phactr4 acts, in part, through an Rb-dependent pathway, because Rb phosphorylation is maintained upon growth factor withdrawal in Phactr4-depleted cells. Examination of tumor copy number analysis and sequencing revealed that PHACTR4 is significantly deleted and mutant in many tumor subtypes. Furthermore,cancer cell lines with reduced Phactr4 expression exhibit tumor suppressor hypersensitivity upon Phactr4 complementation,leading to reduced proliferation, transformation, and tumor formation. Thus, Phactr4 acts as a tumor suppressor that is deleted and mutant in several cancers.

Recurrent hemizygous deletions in cancers may optimize proliferative potential.

Tumors exhibit numerous recurrent hemizygous focal deletions that contain no known tumor suppressors and are poorly understood. To investigate whether these regions contribute to tumorigenesis, we searched genetically for genes with cancer-relevant properties within these hemizygous deletions. We identified STOP and GO genes, which negatively and positively regulate proliferation, respectively. STOP genes include many known tumor suppressors, whereas GO genes are enriched for essential genes. Analysis of their chromosomal distribution revealed that recurring deletions preferentially overrepresent STOP genes and underrepresent GO genes. We propose a hypothesis called the cancer gene island model, whereby gene islands encompassing high densities of STOP genes and low densities of GO genes are hemizygously deleted to maximize proliferative fitness through cumulative haploinsufficiencies. Because hundreds to thousands of genes are hemizygously deleted per tumor, this mechanism may help to drive tumorigenesis across many cancer types.

Akt and ERK control the proliferative response of mammary epithelial cells to the growth factors IGF-1 and EGF through the cell cycle inhibitor p57Kip2.

Epithelial cells respond to growth factors including epidermal growth factor (EGF), insulin-like growth factor 1 (IGF-1), and insulin. Using high-content immunofluorescence microscopy, we quantitated differences in signaling networks downstream of EGF, which stimulated proliferation of mammary epithelial cells, and insulin or IGF-1, which enhanced the proliferative response to EGF but did not stimulate proliferation independently. We found that the abundance of the cyclin-dependent kinase inhibitors p21Cip1 and p57Kip2 increased in response to IGF-1 or insulin but decreased in response to EGF. Depletion of p57Kip2, but not p21Cip1, rendered IGF-1 or insulin sufficient to induce cellular proliferation in the absence of EGF. Signaling through the PI3K (phosphatidylinositol 3-kinase)-Akt-mTOR (mammalian target of rapamycin) pathway was necessary and sufficient for the increase in p57Kip2, whereas MEK [mitogen-activated or extracellular signal-regulated protein kinase (ERK) kinase]-ERK activity suppressed this increase, forming a regulatory circuit that limited proliferation in response to unaccompanied Akt activity. Knockdown of p57Kip2 enhanced the proliferative phenotype induced by tumor-associated PI3K mutant variants and released mammary epithelial acini from growth arrest during morphogenesis in three-dimensional culture. These results provide a potential explanation for the context-dependent proliferative activities of insulin and IGF-1 and for the finding that the CDKN1C locus encoding p57Kip2 is silenced in many breast cancers, which frequently show hyperactivation of the PI3K pathway. The status of p57Kip2 may thus be an important factor to assess when considering targeted therapy against the ERK or PI3K pathways.

A SUMOylation-dependent transcriptional subprogram is required for Myc-driven tumorigenesis.

Myc is an oncogenic transcription factor frequently dysregulated in human cancer. To identify pathways supporting the Myc oncogenic program, we used a genome-wide RNA interference screen to search for Myc-synthetic lethal genes and uncovered a role for the SUMO-activating enzyme (SAE1/2). Loss of SAE1/2 enzymatic activity drives synthetic lethality with Myc. Inactivation of SAE2 leads to mitotic catastrophe and cell death upon Myc hyperactivation. Mechanistically, SAE2 inhibition switches a transcriptional subprogram of Myc from activated to repressed. A subset of these SUMOylation-dependent Myc switchers (SMS genes) is required for mitotic spindle function and to support the Myc oncogenic program. SAE2 is required for growth of Myc-dependent tumors in mice, and gene expression analyses of Myc-high human breast cancers suggest that low SAE1 and SAE2 abundance in the tumors correlates with longer metastasis-free survival of the patients. Thus, inhibition of SUMOylation may merit investigation as a possible therapy for Myc-driven human cancers.

Autoantigen discovery with a synthetic human peptidome.

Immune responses targeting self-proteins (autoantigens) can lead to a variety of autoimmune diseases. Identification of these antigens is important for both diagnostic and therapeutic reasons. However, current approaches to characterize autoantigens have, in most cases, met only with limited success. Here we present a synthetic representation of the complete human proteome, the T7 peptidome phage display library (T7-Pep), and demonstrate its application to autoantigen discovery. T7-Pep is composed of >413,000 36-residue, overlapping peptides that cover all open reading frames in the human genome, and can be analyzed using high-throughput DNA sequencing. We developed a phage immunoprecipitation sequencing (PhIP-Seq) methodology to identify known and previously unreported autoantibodies contained in the spinal fluid of three individuals with paraneoplastic neurological syndromes. We also show how T7-Pep can be used more generally to identify peptide-protein interactions, suggesting the broader utility of our approach for proteomic research.

Principles of cancer therapy: oncogene and non-oncogene addiction.

Cancer is a complex collection of distinct genetic diseases united by common hallmarks. Here, we expand upon the classic hallmarks to include the stress phenotypes of tumorigenesis. We describe a conceptual framework of how oncogene and non-oncogene addictions contribute to these hallmarks and how they can be exploited through stress sensitization and stress overload to selectively kill cancer cells. In particular, we present evidence for a large class of non-oncogenes that are essential for cancer cell survival and present attractive drug targets. Finally, we discuss the path ahead to therapeutic discovery and provide theoretical considerations for combining orthogonal cancer therapies.

Cancer proliferation gene discovery through functional genomics.

Retroviral short hairpin RNA (shRNA)-mediated genetic screens in mammalian cells are powerful tools for discovering loss-of-function phenotypes. We describe a highly parallel multiplex methodology for screening large pools of shRNAs using half-hairpin barcodes for microarray deconvolution. We carried out dropout screens for shRNAs that affect cell proliferation and viability in cancer cells and normal cells. We identified many shRNAs to be antiproliferative that target core cellular processes, such as the cell cycle and protein translation, in all cells examined. Moreover, we identified genes that are selectively required for proliferation and survival in different cell lines. Our platform enables rapid and cost-effective genome-wide screens to identify cancer proliferation and survival genes for target discovery. Such efforts are complementary to the Cancer Genome Atlas and provide an alternative functional view of cancer cells.

Non-oncogene addiction and the stress phenotype of cancer cells.

Heat-shock factor 1 (HSF1) is a transcription factor that is activated upon proteotoxic stress and coordinates induction of the heat-shock response. In this issue, Dai et al. (2007) show that HSF1 is a potent modifier of tumorigenesis and is required for tumor initiation and maintenance in a variety of cancer models. These findings add HSF1 to a growing list of non-oncogenes that could be exploited as cancer drug targets.

Functional role and oncogene-regulated expression of the BH3-only factor Bmf in mammary epithelial anoikis and morphogenesis.

The formation of a lumen in three-dimensional mammary epithelial acinar structures in vitro involves selective apoptosis of centrally localized cells that lack matrix attachment. Similarly, apoptosis is induced by forced detachment of mammary epithelial cells from matrix, a process referred to as anoikis. Through microarray analysis, we found that mRNA levels of the proapoptotic BH3-only protein Bmf are up-regulated during both anoikis and acinar morphogenesis. Importantly, down-regulation of Bmf expression by small interfering RNAs is sufficient to prevent anoikis and acinar cell death and promote anchorage-independent growth to a similar extent as down-regulation of another BH3-only protein, Bim, which was previously shown to be required for these processes. Knockdown of the BH3-only proteins Bad or Bid does not suppress anoikis or luminal apoptosis or promote anchorage-independent growth, but protects from other defined apoptotic stimuli, indicating specificity of BH3-only function. Bmf mRNA is significantly up-regulated upon loss of matrix attachment or disruption of the actin cytoskeleton, but not in response to several other stresses. Interestingly, constitutive activation of the Mek/Erk or phosphatidylinositol 3-kinase/Akt pathways suppresses the transcriptional up-regulation of Bmf during anoikis. Thus, Bmf is a central mediator of anoikis in mammary cells and a target of oncogenes that contribute to the progression of glandular epithelial tumors. Finally, Bmf is expressed during involution of the mouse mammary gland, suggesting that Bmf may also critically contribute to developmental processes in vivo.