JARID1B is a luminal lineage-driving oncogene in breast cancer
ABSTRACT Recurrent mutations in histone-modifying enzymes imply key roles in tumorigenesis, yet their functional relevance is largely unknown. Here, we show that JARID1B, encoding a histone H3 lysine 4 (H3K4) demethylase, is frequently amplified and overexpressed in luminal breast tumors and a somatic mutation in a basal-like breast cancer results in the gain of unique chromatin binding and luminal expression and splicing patterns. Downregulation of JARID1B in luminal cells induces basal genes expression and growth arrest, which is rescued by TGFβ pathway inhibitors. Integrated JARID1B chromatin binding, H3K4 methylation, and expression profiles suggest a key function for JARID1B in luminal cell-specific expression programs. High luminal JARID1B activity is associated with poor outcome in patients with hormone receptor-positive breast tumors.
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ABSTRACT: The availability of large amounts of molecular data of unprecedented depth and width has instigated new paths of interdisciplinary activity in cancer research. Translation of such information to allow its optimal use in cancer therapy will require molecular biologists to embrace statistical and computational concepts and models. Progress in science has been and should be driven by our innate curiosity. This is the human quality that led Pandora to open the forbidden box, and like her, we do not know the nature or consequences of the output resulting from our actions. Throughout history, ground-breaking scientific achievements have been closely linked to advances in technology. The microscope and the telescope are examples of inventions that profoundly increased the amount of observable features that further led to paradigmatic shifts in our understanding of life and the Universe. In cell biology, the microscope revealed details of different types of tissue and their cellular composition; it revealed cells, their structures and their ability to divide, develop and die. Further, the molecular compositions of individual cell types were revealed gradually by generations of scientists. For each level of insight gained, new mathematical and statistical descriptive and analytical tools were needed (Figure 1a). The integration of knowledge of ever-increasing depth and width in order to develop useful therapies that can prevent and cure diseases such as cancer will continue to require the joint effort of scientists in biology, medicine, statistics, mathematics and computation. Here, we discuss some major challenges that lie ahead of us and why we believe that a deeper integration of biology and medicine with mathematics and statistics is required to gain the most from the diverse and extensive body of data now being generated. We also argue that to take full advantage of current technological opportunities, we must explore biomarkers using clinical studies that are optimally designed for this purpose. The need for a tight interdisciplinary collaboration has never been stronger.Genome Biology 09/2014; 15(9):447. DOI:10.1186/s13059-014-0447-6 · 10.47 Impact Factor
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ABSTRACT: PI3K/AKT signaling leads to reduced apoptosis, stimulates growth and increases proliferation. Under normal conditions, activation is tightly controlled and dependent on both extracellular growth signals and the availability of amino acids and glucose. Genetic aberrations leading to PI3K/AKT hyper-activation are observed at considerable frequency in all major nodes in most tumors. In colorectal cancer the most commonly observed pathway changes are IGF2 overexpression, PIK3CA mutations and PTEN mutations and deletions. Combined, these alterations are found in about 40% of large bowel tumors. In addition, but not mutually exclusive to these, KRAS mutations are observed at a similar frequency. There are however additional, less frequent and more poorly understood events that may also push the PI3K/AKT pathway into overdrive and thus promote malignant growth. Here we discuss aberrations of components at the genetic, epigenetic, transcriptional, post-transcriptional, translational and post-translational level where perturbations may drive excessive PI3K/AKT signaling. Integrating multiple molecular levels will advance our understanding of this cancer critical circuit and more importantly, improve our ability to pharmacologically target the pathway in view of clonal development, tumor heterogeneity and drug resistance mechanisms. In this review, we revisit the PI3K/AKT-pathway cancer susceptibility syndromes, summarize the known aberrations at the different regulatory levels and the prognostic and predictive values of these alterations in colorectal cancer. Copyright © 2014. Published by Elsevier B.V.Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 11/2014; 1855(1). DOI:10.1016/j.bbcan.2014.09.008 · 7.58 Impact Factor
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ABSTRACT: Histone lysine methyltransferases (HMTs), a large class of enzymes that catalyze site-specific methylation of lysine residues on histones and other proteins, play critical roles in controlling transcription, chromatin architecture, and cellular differentiation. However, the genomic landscape and clinical significance of HMTs in breast cancer remain poorly characterized. Here, we conducted a meta-analysis of approximately 50 HMTs in breast cancer and identified associations among recurrent copy number alterations, mutations, gene expression, and clinical outcome. We identified 12 HMTs with the highest frequency of genetic alterations, including 8 with high-level amplification, 2 with putative homozygous deletion, and 2 with somatic mutation. Different subtypes of breast cancer have different patterns of copy number and expression for each HMT gene. In addition, chromosome 1q contains four HMTs that are concurrently or independently amplified or overexpressed in breast cancer. Copy number or mRNA expression of several HMTs was significantly associated with basal-like breast cancer and shorter patient survival. Integrative analysis identified 8 HMTs (SETDB1, SMYD3, ASH1L, SMYD2, WHSC1L1, SUV420H1, SETDB2, and KMT2C) that are dysregulated by genetic alterations, classifying them as candidate therapeutic targets. Together, our findings provide a strong foundation for further mechanistic research and therapeutic options using HMTs to treat breast cancer.Oncotarget 12/2014; · 6.63 Impact Factor