Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer

doi:10.1016/j.cell.2018.03.022

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	Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
	Hoadley K.A.11; Yau C.9; Hinoue T.4; Wolf D.M.1; Lazar A.J.14; Drill E.2; Shen R.2; Taylor A.M.8; Cherniack A.D.8; Thorsson V.7; Akbani R.14; Bowlby R.15; Wong C.K.16; Wiznerowicz M.12; Sanchez-Vega F.2; Robertson A.G.15; Schneider B.G.18; Lawrence M.S.8; Noushmehr H.17; Malta T.M.17; Caesar-Johnson S.J.; Demchok J.A.; Felau I.; Kasapi M.; Ferguson M.L.; Hutter C.M.; Sofia H.J.; Tarnuzzer R.; Wang Z.; Yang L.; Zenklusen J.C.; Zhang J.J.; Chudamani S.; Liu J.; Lolla L.; Naresh R.; Pihl T.; Sun Q.; Wan Y.; Wu Y.; Cho J.; DeFreitas T.; Frazer S.; Gehlenborg N.; Getz G.; Heiman D.I.; Kim J.; Lawrence M.S.; Lin P.; Meier S.; Noble M.S.; Saksena G.; Voet D.; Zhang H.; Bernard B.; Chambwe N.; Dhankani V.; Knijnenburg T.; Kramer R.; Leinonen K.; Liu Y.; Miller M.; Reynolds S.; Shmulevich I.; Thorsson V.; Zhang W.; Akbani R.; Broom B.M.; Hegde A.M.; Ju Z.; Kanchi R.S.; Korkut A.; Li J.; Liang H.; Ling S.; Liu W.; Lu Y.; Mills G.B.; Ng K.-S.; Rao A.; Ryan M.; Wang J.; Weinstein J.N.; Zhang J.; Abeshouse A.; Armenia J.; Chakravarty D.; Chatila W.K.; de Bruijn I.; Gao J.; Gross B.E.; Heins Z.J.; Kundra R.; La K.; Ladanyi M.; Luna A.; Nissan M.G.; Ochoa A.; Phillips S.M.; Reznik E.; Sanchez-Vega F.2; Sander C.; Schultz N.; Sheridan R.; Sumer S.O.; Sun Y.; Taylor B.S.; Wang J.; Zhang H.; Anur P.; Peto M.; Spellman P.; Benz C.9; Stuart J.M.; Wong C.K.; Yau C.; Hayes D.N.; Parker J.S.; Wilkerson M.D.; Ally A.; Balasundaram M.; Bowlby R.; Brooks D.; Carlsen R.; Chuah E.; Dhalla N.; Holt R.; Jones S.J.M.; Kasaian K.; Lee D.; Ma Y.; Marra M.A.; Mayo M.; Moore R.A.; Mungall A.J.; Mungall K.; Robertson A.G.; Sadeghi S.; Schein J.E.; Sipahimalani P.; Tam A.; Thiessen N.; Tse K.; Wong T.; Berger A.C.; Beroukhim R.; Cherniack A.D.; Cibulskis C.; Gabriel S.B.; Gao G.F.; Ha G.; Meyerson M.; Schumacher S.E.; Shih J.; Kucherlapati M.H.; Kucherlapati R.S.; Baylin S.; Cope L.; Danilova L.; Bootwalla M.S.; Lai P.H.; Maglinte D.T.; Van Den Berg D.J.; Weisenberger D.J.; Auman J.T.; Balu S.; Bodenheimer T.; Fan C.; Hoadley K.A.; Hoyle A.P.; Jefferys S.R.; Jones C.D.; Meng S.; Mieczkowski P.A.; Mose L.E.; Perou A.H.; Perou C.M.; Roach J.; Shi Y.; Simons J.V.; Skelly T.; Soloway M.G.; Tan D.; Veluvolu U.; Fan H.; Hinoue T.; Laird P.W.; Shen H.; Zhou W.; Bellair M.; Chang K.; Covington K.; Creighton C.J.; Dinh H.; Doddapaneni H.; Donehower L.A.; Drummond J.; Gibbs R.A.; Glenn R.; Hale W.; Han Y.; Hu J.; Korchina V.; Lee S.; Lewis L.; Li W.; Liu X.; Morgan M.; Morton D.; Muzny D.; Santibanez J.; Sheth M.; Shinbrot E.; Wang L.; Wang M.; Wheeler D.A.; Xi L.; Zhao F.; Hess J.; Appelbaum E.L.; Bailey M.; Cordes M.G.; Ding L.; Fronick C.C.; Fulton L.A.; Fulton R.S.; Kandoth C.; Mardis E.R.; McLellan M.D.; Miller C.A.; Schmidt H.K.; Wilson R.K.; Crain D.; Curley E.; Gardner J.; Lau K.; Mallery D.; Morris S.; Paulauskis J.; Penny R.; Shelton C.; Shelton T.; Sherman M.; Thompson E.; Yena P.; Bowen J.; Gastier-Foster J.M.; Gerken M.; Leraas K.M.; Lichtenberg T.M.; Ramirez N.C.; Wise L.; Zmuda E.; Corcoran N.; Costello T.; Hovens C.; Carvalho A.L.; de Carvalho A.C.; Fregnani J.H.; Longatto-Filho A.; Reis R.M.; Scapulatempo-Neto C.; Silveira H.C.S.; Vidal D.O.; Burnette A.; Eschbacher J.; Hermes B.; Noss A.; Singh R.; Anderson M.L.; Castro P.D.; Ittmann M.; Huntsman D.; Kohl B.; Le X.; Thorp R.; Andry C.; Duffy E.R.; Lyadov V.; Paklina O.; Setdikova G.; Shabunin A.; Tavobilov M.; McPherson C.; Warnick R.; Berkowitz R.; Cramer D.; Feltmate C.; Horowitz N.; Kibel A.; Muto M.; Raut C.P.; Malykh A.; Barnholtz-Sloan J.S.; Barrett W.; Devine K.; Fulop J.; Ostrom Q.T.; Shimmel K.; Wolinsky Y.; Sloan A.E.; De Rose A.; Giuliante F.; Goodman M.; Karlan B.Y.; Hagedorn C.H.; Eckman J.; Harr J.; Myers J.; Tucker K.; Zach L.A.; Deyarmin B.; Hu H.; Kvecher L.; Larson C.; Mural R.J.; Somiari S.; Vicha A.; Zelinka T.; Bennett J.; Iacocca M.; Rabeno B.; Swanson P.; Latour M.; Lacombe L.; Tetu B.; Bergeron A.; McGraw M.; Staugaitis S.M.; Chabot J.; Hibshoosh H.; Sepulveda A.; Su T.; Wang T.; Potapova O.; Voronina O.; Desjardins L.; Mariani O.; Roman-Roman S.; Sastre X.; Stern M.-H.; Cheng F.; Signoretti S.; Berchuck A.; Bigner D.; Lipp E.; Marks J.; McCall S.; McLendon R.; Secord A.; Sharp A.; Behera M.; Brat D.J.; Chen A.; Delman K.; Force S.; Khuri F.; Magliocca K.; Maithel S.; Olson J.J.; Owonikoko T.; Pickens A.; Ramalingam S.; Shin D.M.; Sica G.; Van Meir E.G.; Zhang H.; Eijckenboom W.; Gillis A.; Korpershoek E.; Looijenga L.; Oosterhuis W.; Stoop H.; van Kessel K.E.; Zwarthoff E.C.; Calatozzolo C.; Cuppini L.; Cuzzubbo S.; DiMeco F.; Finocchiaro G.; Mattei L.; Perin A.; Pollo B.; Chen C.; Houck J.; Lohavanichbutr P.; Hartmann A.; Stoehr C.; Stoehr R.; Taubert H.; Wach S.; Wullich B.; Kycler W.; Murawa D.; Wiznerowicz M.12; Chung K.; Edenfield W.J.; Martin J.; Baudin E.; Bubley G.; Bueno R.; De Rienzo A.; Richards W.G.; Kalkanis S.; Mikkelsen T.; Noushmehr H.17; Scarpace L.; Girard N.; Aymerich M.; Campo E.; Gine E.; Guillermo A.L.; Van Bang N.; Hanh P.T.; Phu B.D.; Tang Y.; Colman H.; Evason K.; Dottino P.R.; Martignetti J.A.; Gabra H.; Juhl H.; Akeredolu T.; Stepa S.; Hoon D.; Ahn K.; Kang K.J.; Beuschlein F.; Breggia A.; Birrer M.; Bell D.; Borad M.; Bryce A.H.; Castle E.; Chandan V.; Cheville J.; Copland J.A.; Farnell M.; Flotte T.; Giama N.; Ho T.; Kendrick M.; Kocher J.-P.; Kopp K.; Moser C.; Nagorney D.; O'Brien D.; O'Neill B.P.; Patel T.; Petersen G.; Que F.; Rivera M.; Roberts L.; Smallridge R.; Smyrk T.; Stanton M.; Thompson R.H.; Torbenson M.; Yang J.D.; Zhang L.; Brimo F.; Ajani J.A.; Gonzalez A.M.A.; Behrens C.; Bondaruk O.; Broaddus R.; Czerniak B.; Esmaeli B.; Fujimoto J.; Gershenwald J.; Guo C.; Lazar A.J.; Logothetis C.; Meric-Bernstam F.; Moran C.; Ramondetta L.; Rice D.; Sood A.; Tamboli P.; Thompson T.; Troncoso P.; Tsao A.; Wistuba I.; Carter C.; Haydu L.; Hersey P.; Jakrot V.; Kakavand H.; Kefford R.; Lee K.; Long G.; Mann G.; Quinn M.; Saw R.; Scolyer R.; Shannon K.; Spillane A.; Stretch J.; Synott M.; Thompson J.; Wilmott J.; Al-Ahmadie H.; Chan T.A.; Ghossein R.; Gopalan A.; Levine D.A.; Reuter V.; Singer S.; Singh B.; Tien N.V.; Broudy T.; Mirsaidi C.; Nair P.; Drwiega P.; Miller J.; Smith J.; Zaren H.; Park J.-W.; Hung N.P.; Kebebew E.; Linehan W.M.; Metwalli A.R.; Pacak K.; Pinto P.A.; Schiffman M.; Schmidt L.S.; Vocke C.D.; Wentzensen N.; Worrell R.; Yang H.; Moncrieff M.; Goparaju C.; Melamed J.; Pass H.; Botnariuc N.; Caraman I.; Cernat M.; Chemencedji I.; Clipca A.; Doruc S.; Gorincioi G.; Mura S.; Pirtac M.; Stancul I.; Tcaciuc D.; Albert M.; Alexopoulou I.; Arnaout A.; Bartlett J.; Engel J.; Gilbert S.; Parfitt J.; Sekhon H.; Thomas G.; Rassl D.M.; Rintoul R.C.; Bifulco C.; Tamakawa R.; Urba W.; Hayward N.; Timmers H.; Antenucci A.; Facciolo F.; Grazi G.; Marino M.; Merola R.; de Krijger R.; Gimenez-Roqueplo A.-P.; Piche A.; Chevalier S.; McKercher G.; Birsoy K.; Barnett G.; Brewer C.; Farver C.; Naska T.; Pennell N.A.; Raymond D.; Schilero C.; Smolenski K.; Williams F.; Morrison C.; Borgia J.A.; Liptay M.J.; Pool M.; Seder C.W.; Junker K.; Omberg L.; Dinkin M.; Manikhas G.; Alvaro D.; Bragazzi M.C.; Cardinale V.; Carpino G.; Gaudio E.; Chesla D.; Cottingham S.; Dubina M.; Moiseenko F.; Dhanasekaran R.; Becker K.-F.; Janssen K.-P.; Slotta-Huspenina J.; Abdel-Rahman M.H.; Aziz D.; Bell S.; Cebulla C.M.; Davis A.; Duell R.; Elder J.B.; Hilty J.; Kumar B.; Lang J.; Lehman N.L.; Mandt R.; Nguyen P.; Pilarski R.; Rai K.; Schoenfield L.; Senecal K.; Wakely P.; Hansen P.; Lechan R.; Powers J.; Tischler A.; Grizzle W.E.; Sexton K.C.; Kastl A.; Henderson J.; Porten S.; Waldmann J.; Fassnacht M.; Asa S.L.; Schadendorf D.; Couce M.; Graefen M.; Huland H.; Sauter G.; Schlomm T.; Simon R.; Tennstedt P.; Olabode O.; Nelson M.; Bathe O.; Carroll P.R.; Chan J.M.; Disaia P.; Glenn P.; Kelley R.K.; Landen C.N.; Phillips J.; Prados M.; Simko J.; Smith-McCune K.; VandenBerg S.; Roggin K.; Fehrenbach A.; Kendler A.; Sifri S.; Steele R.; Jimeno A.; Carey F.; Forgie I.; Mannelli M.; Carney M.; Hernandez B.; Campos B.; Herold-Mende C.; Jungk C.; Unterberg A.; von Deimling A.; Bossler A.; Galbraith J.; Jacobus L.; Knudson M.; Knutson T.; Ma D.; Milhem M.; Sigmund R.; Godwin A.K.; Madan R.; Rosenthal H.G.; Adebamowo C.; Adebamowo S.N.; Boussioutas A.; Beer D.; Giordano T.; Mes-Masson A.-M.; Saad F.; Bocklage T.; Landrum L.; Mannel R.; Moore K.; Moxley K.; Postier R.; Walker J.; Zuna R.; Feldman M.; Valdivieso F.; Dhir R.; Luketich J.; Pinero E.M.M.; Quintero-Aguilo M.; Carlotti C.G.; Dos Santos J.S.; Kemp R.; Sankarankuty A.; Tirapelli D.; Catto J.; Agnew K.; Swisher E.; Creaney J.; Robinson B.; Shelley C.S.; Godwin E.M.; Kendall S.; Shipman C.; Bradford C.; Carey T.; Haddad A.; Moyer J.; Peterson L.; Prince M.; Rozek L.; Wolf G.; Bowman R.; Fong K.M.; Yang I.; Korst R.; Rathmell W.K.; Fantacone-Campbell J.L.; Hooke J.A.; Kovatich A.J.; Shriver C.D.; DiPersio J.; Drake B.; Govindan R.; Heath S.; Ley T.; Van Tine B.; Westervelt P.; Rubin M.A.; Lee J.I.; Aredes N.D.; Mariamidze A.; Stuart J.M.16; Benz C.9; Laird P.W.4
	2018-04-05
Source Publication	Cell
ISSN	10974172 00928674
Volume	173 Issue:2 Pages:291-304.e6
Abstract	We conducted comprehensive integrative molecular analyses of the complete set of tumors in The Cancer Genome Atlas (TCGA), consisting of approximately 10,000 specimens and representing 33 types of cancer. We performed molecular clustering using data on chromosome-arm-level aneuploidy, DNA hypermethylation, mRNA, and miRNA expression levels and reverse-phase protein arrays, of which all, except for aneuploidy, revealed clustering primarily organized by histology, tissue type, or anatomic origin. The influence of cell type was evident in DNA-methylation-based clustering, even after excluding sites with known preexisting tissue-type-specific methylation. Integrative clustering further emphasized the dominant role of cell-of-origin patterns. Molecular similarities among histologically or anatomically related cancer types provide a basis for focused pan-cancer analyses, such as pan-gastrointestinal, pan-gynecological, pan-kidney, and pan-squamous cancers, and those related by stemness features, which in turn may inform strategies for future therapeutic development. Comprehensive, integrated molecular analysis identifies molecular relationships across a large diverse set of human cancers, suggesting future directions for exploring clinical actionability in cancer treatment.
Keyword	Cancer Cell-of-origin Genome Methylome Organs Proteome Subtypes Tcga Tissues Transcriptome
DOI	10.1016/j.cell.2018.03.022
URL	View the original
Language	英語English
WOS ID	WOS:000429320200007
Scopus ID	2-s2.0-85044737247
Fulltext Access	View Full-Text via DOI View Full-Text via Web of Science View Full-Text via Scopus
Citation statistics
Document Type	Journal article
Collection	University of Macau
Affiliation	1.University of California, San Francisco 2.Memorial Sloan-Kettering Cancer Center 3.International Institute for Molecular Oncology 4.Van Andel Research Institute 5.Greater Poland Cancer Centre 6.Massachusetts General Hospital Cancer Center 7.Institute for Systems Biology 8.Broad Institute 9.Buck Institute for Age Research 10.Universidade de Sao Paulo - USP 11.The University of North Carolina at Chapel Hill 12.Poznan University of Medical Sciences 13.Dana-Farber Cancer Institute 14.University of Texas MD Anderson Cancer Center 15.British Columbia Cancer Agency 16.University of California, Santa Cruz 17.Henry Ford Health System 18.Vanderbilt University Medical Center
Recommended Citation GB/T 7714	Hoadley K.A.,Yau C.,Hinoue T.,et al. Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer[J]. Cell, 2018, 173(2), 291-304.e6.
APA	Hoadley K.A.., Yau C.., Hinoue T.., Wolf D.M.., Lazar A.J.., Drill E.., Shen R.., Taylor A.M.., Cherniack A.D.., Thorsson V.., Akbani R.., Bowlby R.., Wong C.K.., Wiznerowicz M.., Sanchez-Vega F.., Robertson A.G.., Schneider B.G.., Lawrence M.S.., Noushmehr H.., ...& Laird P.W. (2018). Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer. Cell, 173(2), 291-304.e6.
MLA	Hoadley K.A.,et al."Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer".Cell 173.2(2018):291-304.e6.

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