MET Exon 14 Mutations in Non–Small-Cell Lung Cancer Are Associated with Advanced Age and Stage-Dependent MET Genomic Amplification and C-Met Overexpression
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SUPPLEMENTARY FIGURES and TABLES Genetic Hallmarks of Recurrent/Metastatic Adenoid Cystic Carcinoma
SUPPLEMENTARY FIGURES AND TABLES Genetic Hallmarks Of Recurrent/Metastatic Adenoid Cystic Carcinoma SUPPLEMENTARY FIGURES Figure S1. Flow diagram of study design. Figure S2. Primary and recurrent/metastatic adenoid cystic carcinoma distribution by anatomic site. Figure S3. Variant allelic frequency (VAF) density histogram for NOTCH1 mutations observed in recurrent/metastatic adenoid cystic carcinoma (R/M ACC). Figure S4. Downsampling analysis of R/M MSK-IMPACT cohort (n=94) to simulate mutation detection at 100x coverage. Figure S5. Representative PyClone plots demonstrating intratumoral heterogeneity quantified as number of genomically distinct subclonal populations in adenoid cystic carcinoma. Figure S6. MRI of the neck with contrast of adenoid cystic carcinoma of right parotid gland involving masseter muscle and ascending ramus. Figure S7. Histologic confirmation of 6 representative distant metastatic sites of a single case with parotid adenoid cystic carcinoma. Figure S8. Fluorescence in situ hybridization (FISH) of distant lung metastatic lesions in a single case of parotid adenoid cystic carcinoma. Figure S9. Two-way plots of cancer cell fraction in a single case of parotid adenoid cystic carcinoma, comparing primary tumor with eight metastatic lesions. Figure S10. Multiregion clonal evolution heatmap analysis of two breast adenoid cystic carcinoma cases with transformation to high grade triple-negative breast cancer (TNBC) histology. SUPPLEMENTARY TABLES Table S1. Study distribution of primary and recurrent/metastatic (R/M) adenoid cystic carcinoma (ACC) cases. Mixed entails head and neck, lung, and breast disease sites. Table S2. Top gene alteration incidence by tumor site (includes primary and recurrent/metastatic cases). Table S3. Top gene alteration incidence of recurrent/metastatic adenoid cystic carcinoma (R/M ACC) cases comparing primary site with distant metastatic site. -
Genomic and Transcriptomic Alterations Associated with Drug Vulnerabilities and Prognosis in Adenocarcinoma at the Gastroesophageal Junction
ARTICLE https://doi.org/10.1038/s41467-020-19949-6 OPEN Genomic and transcriptomic alterations associated with drug vulnerabilities and prognosis in adenocarcinoma at the gastroesophageal junction Yuan Lin1,8, Yingying Luo 2,8, Yanxia Sun 2,8, Wenjia Guo 2,3,8, Xuan Zhao2,8, Yiyi Xi2, Yuling Ma 2, ✉ ✉ Mingming Shao2, Wen Tan2, Ge Gao 1,4 , Chen Wu 2,5,6 & Dongxin Lin2,5,7 1234567890():,; Adenocarcinoma at the gastroesophageal junction (ACGEJ) has dismal clinical outcomes, and there are currently few specific effective therapies because of limited knowledge on its genomic and transcriptomic alterations. The present study investigates genomic and tran- scriptomic changes in ACGEJ from Chinese patients and analyzes their drug vulnerabilities and associations with the survival time. Here we show that the major genomic changes of Chinese ACGEJ patients are chromosome instability promoted tumorigenic focal copy- number variations and COSMIC Signature 17-featured single nucleotide variations. We provide a comprehensive profile of genetic changes that are potentially vulnerable to existing therapeutic agents and identify Signature 17-correlated IFN-α response pathway as a prog- nostic marker that might have practical value for clinical prognosis of ACGEJ. These findings further our understanding on the molecular biology of ACGEJ and may help develop more effective therapeutic strategies. 1 Beijing Advanced Innovation Center for Genomics (ICG), Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China. 2 Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. 3 Cancer Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China. -
Paraganglioma (PGL) Tumors in Patients with Succinate Dehydrogenase-Related PCC–PGL Syndromes: a Clinicopathological and Molecular Analysis
T G Papathomas and others Non-PCC/PGL tumors in the SDH 170:1 1–12 Clinical Study deficiency Non-pheochromocytoma (PCC)/paraganglioma (PGL) tumors in patients with succinate dehydrogenase-related PCC–PGL syndromes: a clinicopathological and molecular analysis Thomas G Papathomas1, Jose Gaal1, Eleonora P M Corssmit2, Lindsey Oudijk1, Esther Korpershoek1, Ketil Heimdal3, Jean-Pierre Bayley4, Hans Morreau5, Marieke van Dooren6, Konstantinos Papaspyrou7, Thomas Schreiner8, Torsten Hansen9, Per Arne Andresen10, David F Restuccia1, Ingrid van Kessel6, Geert J L H van Leenders1, Johan M Kros1, Leendert H J Looijenga1, Leo J Hofland11, Wolf Mann7, Francien H van Nederveen12, Ozgur Mete13,14, Sylvia L Asa13,14, Ronald R de Krijger1,15 and Winand N M Dinjens1 1Department of Pathology, Josephine Nefkens Institute, Erasmus MC, University Medical Center, PO Box 2040, 3000 CA Rotterdam, The Netherlands, 2Department of Endocrinology, Leiden University Medical Center, Leiden,The Netherlands, 3Section for Clinical Genetics, Department of Medical Genetics, Oslo University Hospital, Oslo, Norway, 4Department of Human and Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands, 5Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands, 6Department of Clinical Genetics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands, 7Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany, 8Section for Specialized Endocrinology, -
Download Via Github on RNA-Seq and Chip-Seq Data Analysis and the University of And/Or Bioconductor [33–35, 38–40]
Kumka and Bauer BMC Genomics (2015) 16:895 DOI 10.1186/s12864-015-2162-4 RESEARCH ARTICLE Open Access Analysis of the FnrL regulon in Rhodobacter capsulatus reveals limited regulon overlap with orthologues from Rhodobacter sphaeroides and Escherichia coli Joseph E. Kumka and Carl E. Bauer* Abstract Background: FNR homologues constitute an important class of transcription factors that control a wide range of anaerobic physiological functions in a number of bacterial species. Since FNR homologues are some of the most pervasive transcription factors, an understanding of their involvement in regulating anaerobic gene expression in different species sheds light on evolutionary similarity and differences. To address this question, we used a combination of high throughput RNA-Seq and ChIP-Seq analysis to define the extent of the FnrL regulon in Rhodobacter capsulatus and related our results to that of FnrL in Rhodobacter sphaeroides and FNR in Escherichia coli. Results: Our RNA-seq results show that FnrL affects the expression of 807 genes, which accounts for over 20 % of the Rba. capsulatus genome. ChIP-seq results indicate that 42 of these genes are directly regulated by FnrL. Importantly, this includes genes involved in the synthesis of the anoxygenic photosystem. Similarly, FnrL in Rba. sphaeroides affects 24 % of its genome, however, only 171 genes are differentially expressed in common between two Rhodobacter species, suggesting significant divergence in regulation. Conclusions: We show that FnrL in Rba. capsulatus activates photosynthesis while in Rba. sphaeroides FnrL regulation reported to involve repression of the photosystem. This analysis highlights important differences in transcriptional control of photosynthetic events and other metabolic processes controlled by FnrL orthologues in closely related Rhodobacter species. -
About SDHD Gene Mutations
About SDHD Gene Mutations About Genes Recommendations Genes are in every cell in our bodies. Genes are made Knowing if you have an SDHD mutation can help you of DNA, which gives instructions to cells about how to grow manage your medical care. and work together. We have two copies of each gene in each cell—one from our mother and one from our father. When MEN AND WOMEN genes work right, they help stop cancer cells from developing. If you know you have an SDHD mutation, it is important If one copy of a gene has a mutation, it cannot function as it to find tumors early. It is also important to tell your doctor should. This increases the risk for certain cancers. that you have this mutation before any medical procedures. TheSDH genes have instructions for turning food into energy Recommendations may vary according to your age. and helping fix mistakes in DNA. The four genes involved are Ages 8-18: SDHA, SDHB, SDHC, and SDHD. If there is a mutation in one • MRI of the whole body every 2-3 years of these genes, it can cause cells to grow and divide too much. This • Neck MRI every 2-3 years can lead to tumors called paragangliomas and pheochromocytomas. These tumors are often benign (non-cancerous) but can be Adults: cancer and spread in some cases. This condition is called • PET/CT scan as your doctor recommends hereditary paraganglioma/pheochromocytoma syndrome. All ages: Paragangliomas and Pheochromocytomas • Physical exam every year with blood pressure check Paragangliomas (PGLs) are slow-growing tumors that develop • Blood test every year along nerves or blood vessels. -
Crystal Structure of Bacterial Succinate:Quinone Oxidoreductase Flavoprotein Sdha in Complex with Its Assembly Factor Sdhe
Crystal structure of bacterial succinate:quinone oxidoreductase flavoprotein SdhA in complex with its assembly factor SdhE Megan J. Mahera,1, Anuradha S. Heratha, Saumya R. Udagedaraa, David A. Dougana, and Kaye N. Truscotta,1 aDepartment of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, VIC 3086, Australia Edited by Amy C. Rosenzweig, Northwestern University, Evanston, IL, and approved February 14, 2018 (received for review January 4, 2018) Succinate:quinone oxidoreductase (SQR) functions in energy me- quinol:FRD), respectively (13, 15). The importance of this protein tabolism, coupling the tricarboxylic acid cycle and electron transport family, in normal cellular metabolism, is manifested by the iden- chain in bacteria and mitochondria. The biogenesis of flavinylated tification of a mutation in human SDHAF2 (Gly78Arg), which is SdhA, the catalytic subunit of SQR, is assisted by a highly conserved linked to an inherited neuroendocrine disorder, PGL2 (10). Cur- assembly factor termed SdhE in bacteria via an unknown mecha- rently, however, the role of SdhE in flavinylation remains poorly nism. By using X-ray crystallography, we have solved the structure understood. To date, three different modes of action for SdhE/ of Escherichia coli SdhE in complex with SdhA to 2.15-Å resolution. Sdh5 have been proposed, suggesting that SdhE facilitates the Our structure shows that SdhE makes a direct interaction with the binding and delivery of FAD (13), acts as a chaperone for SdhA flavin adenine dinucleotide-linked residue His45 in SdhA and main- (10), or catalyzes the attachment of FAD (10). Moreover, the re- tains the capping domain of SdhA in an “open” conformation. -
Inhibition of Mitochondrial Complex II in Neuronal Cells Triggers Unique
www.nature.com/scientificreports OPEN Inhibition of mitochondrial complex II in neuronal cells triggers unique pathways culminating in autophagy with implications for neurodegeneration Sathyanarayanan Ranganayaki1, Neema Jamshidi2, Mohamad Aiyaz3, Santhosh‑Kumar Rashmi4, Narayanappa Gayathri4, Pulleri Kandi Harsha5, Balasundaram Padmanabhan6 & Muchukunte Mukunda Srinivas Bharath7* Mitochondrial dysfunction and neurodegeneration underlie movement disorders such as Parkinson’s disease, Huntington’s disease and Manganism among others. As a corollary, inhibition of mitochondrial complex I (CI) and complex II (CII) by toxins 1‑methyl‑4‑phenylpyridinium (MPP+) and 3‑nitropropionic acid (3‑NPA) respectively, induced degenerative changes noted in such neurodegenerative diseases. We aimed to unravel the down‑stream pathways associated with CII inhibition and compared with CI inhibition and the Manganese (Mn) neurotoxicity. Genome‑wide transcriptomics of N27 neuronal cells exposed to 3‑NPA, compared with MPP+ and Mn revealed varied transcriptomic profle. Along with mitochondrial and synaptic pathways, Autophagy was the predominant pathway diferentially regulated in the 3‑NPA model with implications for neuronal survival. This pathway was unique to 3‑NPA, as substantiated by in silico modelling of the three toxins. Morphological and biochemical validation of autophagy markers in the cell model of 3‑NPA revealed incomplete autophagy mediated by mechanistic Target of Rapamycin Complex 2 (mTORC2) pathway. Interestingly, Brain Derived Neurotrophic Factor -
One in Three Highly Selected Greek Patients with Breast Cancer Carries A
Cancer genetics J Med Genet: first published as 10.1136/jmedgenet-2019-106189 on 12 July 2019. Downloaded from ORIGINAL ARTICLE One in three highly selected Greek patients with breast cancer carries a loss-of-function variant in a cancer susceptibility gene Florentia Fostira, 1 Irene Kostantopoulou,1 Paraskevi Apostolou,1 Myrto S Papamentzelopoulou,1 Christos Papadimitriou,2 Eleni Faliakou,3 Christos Christodoulou,4 Ioannis Boukovinas,5 Evangelia Razis,6 Dimitrios Tryfonopoulos,7 Vasileios Barbounis,8 Andromache Vagena,1 Ioannis S Vlachos,9 Despoina Kalfakakou, 1 George Fountzilas,10 Drakoulis Yannoukakos1 ► Additional material is ABSTRact individuals carrying such pathogenic variants (PVs) published online only. To view Background Gene panel testing has become the norm face an increased lifetime risk for cancer diagnoses.1 please visit the journal online (http:// dx. doi. org/ 10. 1136/ for assessing breast cancer (BC) susceptibility, but actual The implementation of BRCA1 and BRCA2 genetic jmedgenet- 2019- 106189). cancer risks conferred by genes included in panels are testing into clinical practice has enabled the identifi- not established. Contrarily, deciphering the missing cation of individuals at high risk and the application For numbered affiliations see hereditability on BC, through identification of novel of tailored management guidelines, significantly end of article. candidates, remains a challenge. We aimed to investigate improving both cancer prevention and survival.2 the mutation prevalence and spectra in a highly Mutations -
Multiple Endocrine Neoplasia Type 2: an Overview Jessica Moline, MS1, and Charis Eng, MD, Phd1,2,3,4
GENETEST REVIEW Genetics in Medicine Multiple endocrine neoplasia type 2: An overview Jessica Moline, MS1, and Charis Eng, MD, PhD1,2,3,4 TABLE OF CONTENTS Clinical Description of MEN 2 .......................................................................755 Surveillance...................................................................................................760 Multiple endocrine neoplasia type 2A (OMIM# 171400) ....................756 Medullary thyroid carcinoma ................................................................760 Familial medullary thyroid carcinoma (OMIM# 155240).....................756 Pheochromocytoma ................................................................................760 Multiple endocrine neoplasia type 2B (OMIM# 162300) ....................756 Parathyroid adenoma or hyperplasia ...................................................761 Diagnosis and testing......................................................................................756 Hypoparathyroidism................................................................................761 Clinical diagnosis: MEN 2A........................................................................756 Agents/circumstances to avoid .................................................................761 Clinical diagnosis: FMTC ............................................................................756 Testing of relatives at risk...........................................................................761 Clinical diagnosis: MEN 2B ........................................................................756 -
Generated by SRI International Pathway Tools Version 25.0, Authors S
Authors: Pallavi Subhraveti Peter D Karp Ingrid Keseler An online version of this diagram is available at BioCyc.org. Biosynthetic pathways are positioned in the left of the cytoplasm, degradative pathways on the right, and reactions not assigned to any pathway are in the far right of the cytoplasm. Transporters and membrane proteins are shown on the membrane. Anamika Kothari Periplasmic (where appropriate) and extracellular reactions and proteins may also be shown. Pathways are colored according to their cellular function. Gcf_000442315Cyc: Rubellimicrobium thermophilum DSM 16684 Cellular Overview Connections between pathways are omitted for legibility. Ron Caspi lipid II (meso phosphate diaminopimelate sn-glycerol containing) phosphate dCTP 3-phosphate predicted ABC RS07495 RS12165 RS03605 transporter RS13105 of phosphate lipid II (meso dCTP sn-glycerol diaminopimelate phosphate 3-phosphate containing) phosphate Secondary Metabolite Degradation Storage Compound Biosynthesis Tetrapyrrole Biosynthesis Hormone Biosynthesis Aromatic Compound Aldehyde Degradation UDP-N-acetyl- Biosynthesis undecaprenyl- a mature (4R)-4-hydroxy- an L-glutamyl- a [protein]-L- queuosine at Macromolecule Modification myo-inositol degradation I α-D-glucosamine adenosylcobinamide a purine L-canavanine 5'-deoxyadenosine sec Metabolic Regulator Biosynthesis Amine and Polyamine Biosynthesis polyhydroxybutanoate biosynthesis siroheme biosynthesis methylglyoxal degradation I diphospho-N- peptidoglycan 2-oxoglutarate Gln β-isoaspartate glu position 34 ser a tRNA indole-3-acetate -
First-Positive Surveillance Screening in an Asymptomatic SDHA Germline Mutation Carrier
ID: 19-0005 -19-0005 G White and others SDHA surveillance screen ID: 19-0005; May 2019 detected PGL DOI: 10.1530/EDM-19-0005 First-positive surveillance screening in an asymptomatic SDHA germline mutation carrier Correspondence should be addressed Gemma White, Nicola Tufton and Scott A Akker to S A Akker Email Department of Endocrinology, St. Bartholomew’s Hospital, Barts Health NHS Trust, London, UK [email protected] Summary At least 40% of phaeochromocytomas and paraganglioma’s (PPGLs) are associated with an underlying genetic mutation. The understanding of the genetic landscape of these tumours has rapidly evolved, with 18 associated genes now identified.Amongthese,mutationsinthesubunitsofsuccinatedehydrogenasecomplex(SDH) are the most common, causing around half of familial PPGL cases. Occurrence of PPGLs in carriers of SDHB, SDHC and SDHD subunit mutations has been long reported, but it is only recently that variants in the SDHA subunit have been linked to PPGL formation. Previously documented cases have, to our knowledge, only been found in isolated cases where pathogenic SDHA variants wereidentifiedretrospectively.Wereportthecaseofanasymptomaticsuspectedcarotidbodytumourfoundduring surveillance screening in a 72-year-old female who is a known carrier of a germline SDHA pathogenic variant. To our knowledge,thisisthefirstscreenthatdetectedPPGLfoundinapreviouslyidentifiedSDHA pathogenic variant carrier, duringsurveillanceimaging.Thisfindingsupportstheuseofcascadegenetictestingandsurveillancescreeninginall carriers of a pathogenic SDHA variant. Learning points: •• SDH mutations are important causes of PPGL disease. •• SDHA is much rarer compared to SDHB and SDHD mutations. •• Pathogenicity and penetrance are yet to be fully determined in cases of SDHA-related PPGL. •• Surveillance screening should be used for SDHA PPGL cases to identify recurrence, metastasis or metachronous disease. •• Surveillance screening for SDH-relateddiseaseshouldbeperformedinidentifiedcarriersofapathogenicSDHA variant. -
Succinate Dehydrogenase Deficiency in a PDGFRA Mutated GIST Martin G
Belinsky et al. BMC Cancer (2017) 17:512 DOI 10.1186/s12885-017-3499-7 RESEARCH ARTICLE Open Access Succinate dehydrogenase deficiency in a PDGFRA mutated GIST Martin G. Belinsky1* , Kathy Q. Cai 2, Yan Zhou3, Biao Luo4, Jianming Pei5, Lori Rink1 and Margaret von Mehren1 Abstract Background: Most gastrointestinal stromal tumors (GISTs) harbor mutually exclusive gain of function mutations in the receptor tyrosine kinase (RTK) KIT (70–80%) or in the related receptor PDGFRA (~10%). These GISTs generally respond well to therapy with the RTK inhibitor imatinib mesylate (IM), although initial response is genotype-dependent. An alternate mechanism leading to GIST oncogenesis is deficiency in the succinate dehydrogenase (SDH) enzyme complex resulting from genetic or epigenetic inactivation of one of the four SDH subunit genes (SDHA, SDHB, SDHC, SDHD, collectively referred to as SDHX). SDH loss of function is generally seen only in GIST lacking RTK mutations, and SDH-deficient GIST respond poorly to imatinib therapy. Methods: Tumor and normal DNA from a GIST case carrying the IM-resistant PDGFRA D842V mutation was analyzed by whole exome sequencing (WES) to identify additional potential targets for therapy. The tumors analyzed were separate recurrences following progression on imatinib, sunitinib, and the experimental PDGFRA inhibitor crenolanib. Tumor sections from the GIST case and a panel of ~75 additional GISTs were subjected to immunohistochemistry (IHC) for the SDHB subunit. Results: Surprisingly, a somatic, loss of function mutation in exon 4 of the SDHB subunit gene (c.291_292delCT, p.I97Mfs*21) was identified in both tumors. Sanger sequencing confirmed the presence of this inactivating mutation, and IHC for the SDHB subunit demonstrated that these tumors were SDH-deficient.