2016
Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome
Machiela MJ, Zhou W, Karlins E, Sampson JN, Freedman ND, Yang Q, Hicks B, Dagnall C, Hautman C, Jacobs KB, Abnet CC, Aldrich MC, Amos C, Amundadottir LT, Arslan AA, Beane-Freeman LE, Berndt SI, Black A, Blot WJ, Bock CH, Bracci PM, Brinton LA, Bueno-de-Mesquita HB, Burdett L, Buring JE, Butler MA, Canzian F, Carreón T, Chaffee KG, Chang IS, Chatterjee N, Chen C, Chen C, Chen K, Chung CC, Cook LS, Crous Bou M, Cullen M, Davis FG, De Vivo I, Ding T, Doherty J, Duell EJ, Epstein CG, Fan JH, Figueroa JD, Fraumeni JF, Friedenreich CM, Fuchs CS, Gallinger S, Gao YT, Gapstur SM, Garcia-Closas M, Gaudet MM, Gaziano JM, Giles GG, Gillanders EM, Giovannucci EL, Goldin L, Goldstein AM, Haiman CA, Hallmans G, Hankinson SE, Harris CC, Henriksson R, Holly EA, Hong YC, Hoover RN, Hsiung CA, Hu N, Hu W, Hunter DJ, Hutchinson A, Jenab M, Johansen C, Khaw KT, Kim HN, Kim YH, Kim YT, Klein AP, Klein R, Koh WP, Kolonel LN, Kooperberg C, Kraft P, Krogh V, Kurtz RC, LaCroix A, Lan Q, Landi MT, Marchand LL, Li D, Liang X, Liao LM, Lin D, Liu J, Lissowska J, Lu L, Magliocco AM, Malats N, Matsuo K, McNeill LH, McWilliams RR, Melin BS, Mirabello L, Moore L, Olson SH, Orlow I, Park JY, Patiño-Garcia A, Peplonska B, Peters U, Petersen GM, Pooler L, Prescott J, Prokunina-Olsson L, Purdue MP, Qiao YL, Rajaraman P, Real FX, Riboli E, Risch HA, Rodriguez-Santiago B, Ruder AM, Savage SA, Schumacher F, Schwartz AG, Schwartz KL, Seow A, Wendy Setiawan V, Severi G, Shen H, Sheng X, Shin MH, Shu XO, Silverman DT, Spitz MR, Stevens VL, Stolzenberg-Solomon R, Stram D, Tang ZZ, Taylor PR, Teras LR, Tobias GS, Van Den Berg D, Visvanathan K, Wacholder S, Wang JC, Wang Z, Wentzensen N, Wheeler W, White E, Wiencke JK, Wolpin BM, Wong MP, Wu C, Wu T, Wu X, Wu YL, Wunder JS, Xia L, Yang HP, Yang PC, Yu K, Zanetti KA, Zeleniuch-Jacquotte A, Zheng W, Zhou B, Ziegler RG, Perez-Jurado LA, Caporaso NE, Rothman N, Tucker M, Dean MC, Yeager M, Chanock SJ. Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome. Nature Communications 2016, 7: 11843. PMID: 27291797, PMCID: PMC4909985, DOI: 10.1038/ncomms11843.Peer-Reviewed Original Research
2015
LINC00472 expression is regulated by promoter methylation and associated with disease-free survival in patients with grade 2 breast cancer
Shen Y, Wang Z, Loo LW, Ni Y, Jia W, Fei P, Risch HA, Katsaros D, Yu H. LINC00472 expression is regulated by promoter methylation and associated with disease-free survival in patients with grade 2 breast cancer. Breast Cancer Research And Treatment 2015, 154: 473-482. PMID: 26564482, PMCID: PMC4854534, DOI: 10.1007/s10549-015-3632-8.Peer-Reviewed Original ResearchConceptsDisease-free survivalLINC00472 expressionGrade 2 tumorsBreast cancerMolecular subtypesBreast tumorsFavorable molecular subtypesGrade 2 breast cancerBreast cancer managementLow-grade tumorsPromoter methylationBreast cancer progressionMultiple clinical datasetsPatient survivalTumor gradeLong non-coding RNAsEstrogen receptorCancer managementDysregulation of lncRNAsLINC00472Clinical implicationsPathogenic processesTumorsCancerPatients
2014
Association between hypermethylation of DNA repetitive elements in white blood cell DNA and pancreatic cancer
Neale RE, Clark PJ, Fawcett J, Fritschi L, Nagler BN, Risch HA, Walters RJ, Crawford WJ, Webb PM, Whiteman DC, Buchanan DD. Association between hypermethylation of DNA repetitive elements in white blood cell DNA and pancreatic cancer. Cancer Epidemiology 2014, 38: 576-582. PMID: 25201440, DOI: 10.1016/j.canep.2014.08.006.Peer-Reviewed Original ResearchConceptsPancreatic cancerWhite blood cell DNABlood cell DNAOdds ratioPresence of metastasesCancer-related deathPancreatic cancer casesHealthy unrelated controlsEarly diseaseCell DNALeading causeCancer casesWBC DNADNA repetitive elementsBlood collectionCancerConfidence intervalsUnrelated controlsMethylation scoreFurther studiesAssociationMarkersDeathPCR assaysQuantitative PCR assaysImputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33
Wang Z, Zhu B, Zhang M, Parikh H, Jia J, Chung CC, Sampson JN, Hoskins JW, Hutchinson A, Burdette L, Ibrahim A, Hautman C, Raj PS, Abnet CC, Adjei AA, Ahlbom A, Albanes D, Allen NE, Ambrosone CB, Aldrich M, Amiano P, Amos C, Andersson U, Andriole G, Andrulis IL, Arici C, Arslan AA, Austin MA, Baris D, Barkauskas DA, Bassig BA, Beane Freeman LE, Berg CD, Berndt SI, Bertazzi PA, Biritwum RB, Black A, Blot W, Boeing H, Boffetta P, Bolton K, Boutron-Ruault MC, Bracci PM, Brennan P, Brinton LA, Brotzman M, Bueno-de-Mesquita HB, Buring JE, Butler MA, Cai Q, Cancel-Tassin G, Canzian F, Cao G, Caporaso NE, Carrato A, Carreon T, Carta A, Chang GC, Chang IS, Chang-Claude J, Che X, Chen CJ, Chen CY, Chen CH, Chen C, Chen KY, Chen YM, Chokkalingam AP, Chu LW, Clavel-Chapelon F, Colditz GA, Colt JS, Conti D, Cook MB, Cortessis VK, Crawford ED, Cussenot O, Davis FG, De Vivo I, Deng X, Ding T, Dinney CP, Di Stefano AL, Diver WR, Duell EJ, Elena JW, Fan JH, Feigelson HS, Feychting M, Figueroa JD, Flanagan AM, Fraumeni JF, Freedman ND, Fridley BL, Fuchs CS, Gago-Dominguez M, Gallinger S, Gao YT, Gapstur SM, Garcia-Closas M, Garcia-Closas R, Gastier-Foster JM, Gaziano JM, Gerhard DS, Giffen CA, Giles GG, Gillanders EM, Giovannucci EL, Goggins M, Gokgoz N, Goldstein AM, Gonzalez C, Gorlick R, Greene MH, Gross M, Grossman HB, Grubb R, Gu J, Guan P, Haiman CA, Hallmans G, Hankinson SE, Harris CC, Hartge P, Hattinger C, Hayes RB, He Q, Helman L, Henderson BE, Henriksson R, Hoffman-Bolton J, Hohensee C, Holly EA, Hong YC, Hoover RN, Hosgood HD, Hsiao CF, Hsing AW, Hsiung CA, Hu N, Hu W, Hu Z, Huang MS, Hunter DJ, Inskip PD, Ito H, Jacobs EJ, Jacobs KB, Jenab M, Ji BT, Johansen C, Johansson M, Johnson A, Kaaks R, Kamat AM, Kamineni A, Karagas M, Khanna C, Khaw KT, Kim C, Kim IS, Kim JH, Kim YH, Kim YC, Kim YT, Kang CH, Jung YJ, Kitahara CM, Klein AP, Klein R, Kogevinas M, Koh WP, Kohno T, Kolonel LN, Kooperberg C, Kratz CP, Krogh V, Kunitoh H, Kurtz RC, Kurucu N, Lan Q, Lathrop M, Lau CC, Lecanda F, Lee KM, Lee MP, Le Marchand L, Lerner SP, Li D, Liao LM, Lim WY, Lin D, Lin J, Lindstrom S, Linet MS, Lissowska J, Liu J, Ljungberg B, Lloreta J, Lu D, Ma J, Malats N, Mannisto S, Marina N, Mastrangelo G, Matsuo K, McGlynn KA, McKean-Cowdin R, McNeill LH, McWilliams RR, Melin BS, Meltzer PS, Mensah JE, Miao X, Michaud DS, Mondul AM, Moore LE, Muir K, Niwa S, Olson SH, Orr N, Panico S, Park JY, Patel AV, Patino-Garcia A, Pavanello S, Peeters PH, Peplonska B, Peters U, Petersen GM, Picci P, Pike MC, Porru S, Prescott J, Pu X, Purdue MP, Qiao YL, Rajaraman P, Riboli E, Risch HA, Rodabough RJ, Rothman N, Ruder AM, Ryu JS, Sanson M, Schned A, Schumacher FR, Schwartz AG, Schwartz KL, Schwenn M, Scotlandi K, Seow A, Serra C, Serra M, Sesso HD, Severi G, Shen H, Shen M, Shete S, Shiraishi K, Shu XO, Siddiq A, Sierrasesumaga L, Sierri S, Loon Sihoe AD, Silverman DT, Simon M, Southey MC, Spector L, Spitz M, Stampfer M, Stattin P, Stern MC, Stevens VL, Stolzenberg-Solomon RZ, Stram DO, Strom SS, Su WC, Sund M, Sung SW, Swerdlow A, Tan W, Tanaka H, Tang W, Tang ZZ, Tardon A, Tay E, Taylor PR, Tettey Y, Thomas DM, Tirabosco R, Tjonneland A, Tobias GS, Toro JR, Travis RC, Trichopoulos D, Troisi R, Truelove A, Tsai YH, Tucker MA, Tumino R, Van Den Berg D, Van Den Eeden SK, Vermeulen R, Vineis P, Visvanathan K, Vogel U, Wang C, Wang C, Wang J, Wang SS, Weiderpass E, Weinstein SJ, Wentzensen N, Wheeler W, White E, Wiencke JK, Wolk A, Wolpin BM, Wong MP, Wrensch M, Wu C, Wu T, Wu X, Wu YL, Wunder JS, Xiang YB, Xu J, Yang HP, Yang PC, Yatabe Y, Ye Y, Yeboah ED, Yin Z, Ying C, Yu CJ, Yu K, Yuan JM, Zanetti KA, Zeleniuch-Jacquotte A, Zheng W, Zhou B, Mirabello L, Savage SA, Kraft P, Chanock SJ, Yeager M, Landi MT, Shi J, Chatterjee N, Amundadottir LT. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33. Human Molecular Genetics 2014, 23: 6616-6633. PMID: 25027329, PMCID: PMC4240198, DOI: 10.1093/hmg/ddu363.Peer-Reviewed Original ResearchMeSH KeywordsAllelesChromosomes, Human, Pair 5Computational BiologyDNA MethylationEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticGene FrequencyGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMembrane ProteinsNeoplasm ProteinsNeoplasmsOdds RatioPolymorphism, Single NucleotideRiskTelomeraseConceptsGenome-wide association studiesIndependent risk lociRisk lociCLPTM1L geneSequential conditional analysesTERT-CLPTM1L regionAllele-specific effectsDistinct cancersCommon susceptibility allelesCancer susceptibility lociTelomerase reverse transcriptaseCommon single nucleotide polymorphismsGenetic architectureCatalytic subunitSingle nucleotide polymorphismsDNA methylationIndependent lociExtensive pleiotropyGene expressionAssociation studiesAssociation analysisSusceptibility lociDifferent cancer typesLociTERT gene
2013
Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer
Shen H, Fridley BL, Song H, Lawrenson K, Cunningham JM, Ramus SJ, Cicek MS, Tyrer J, Stram D, Larson MC, Köbel M, Ziogas A, Zheng W, Yang H, Wu A, Wozniak E, Ling Woo Y, Winterhoff B, Wik E, Whittemore A, Wentzensen N, Palmieri Weber R, Vitonis A, Vincent D, Vierkant R, Vergote I, Van Den Berg D, Van Altena A, Tworoger S, Thompson P, Tessier D, Terry K, Teo S, Templeman C, Stram D, Southey M, Sieh W, Siddiqui N, Shvetsov Y, Shu X, Shridhar V, Wang-Gohrke S, Severi G, Schwaab I, Salvesen H, Rzepecka I, Runnebaum I, Anne Rossing M, Rodriguez-Rodriguez L, Risch H, Renner S, Poole E, Pike M, Phelan C, Pelttari L, Pejovic T, Paul J, Orlow I, Zawiah Omar S, Olson S, Odunsi K, Nickels S, Nevanlinna H, Ness R, Narod S, Nakanishi T, Moysich K, Monteiro A, Moes-Sosnowska J, Modugno F, Menon U, McLaughlin J, McGuire V, Matsuo K, Mat Adenan N, Massuger L, Lurie G, Lundvall L, Lubiński J, Lissowska J, Levine D, Leminen A, Lee A, Le N, Lambrechts S, Lambrechts D, Kupryjanczyk J, Krakstad C, Konecny G, Krüger Kjaer S, Kiemeney L, Kelemen L, Keeney G, Karlan B, Karevan R, Kalli K, Kajiyama H, Ji B, Jensen A, Jakubowska A, Iversen E, Hosono S, Høgdall C, Høgdall E, Hoatlin M, Hillemanns P, Heitz F, Hein R, Harter P, Halle M, Hall P, Gronwald J, Gore M, Goodman M, Giles G, Gentry-Maharaj A, Garcia-Closas M, Flanagan J, Fasching P, Ekici A, Edwards R, Eccles D, Easton D, Dürst M, du Bois A, Dörk T, Doherty J, Despierre E, Dansonka-Mieszkowska A, Cybulski C, Cramer D, Cook L, Chen X, Charbonneau B, Chang-Claude J, Campbell I, Butzow R, Bunker C, Brueggmann D, Brown R, Brooks-Wilson A, Brinton L, Bogdanova N, Block M, Benjamin E, Beesley J, Beckmann M, Bandera E, Baglietto L, Bacot F, Armasu S, Antonenkova N, Anton-Culver H, Aben K, Liang D, Wu X, Lu K, Hildebrandt M, Schildkraut J, Sellers T, Huntsman D, Berchuck A, Chenevix-Trench G, Gayther S, Pharoah P, Laird P, Goode E, Leigh Pearce C. Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer. Nature Communications 2013, 4: 1628. PMID: 23535649, PMCID: PMC3848248, DOI: 10.1038/ncomms2629.Peer-Reviewed Original ResearchConceptsDNA methylationAnalyse DNA methylationClear cell epithelial ovarian cancerSingle nucleotide polymorphismsEpigenetic analysisExpression patternsExpression profilesDifferent single nucleotide polymorphismsCpG island methylator phenotypeSusceptibility genesMethylationDistinct mechanismsGenesMethylator phenotypeHNF1BOvarian cancerRisk allelesSerous epithelial ovarian cancerEpithelial ovarian cancerAssociatesEpithelial ovarian cancer riskGenomePromoterPhenotypeAllelesMultiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer
Bojesen SE, Pooley KA, Johnatty SE, Beesley J, Michailidou K, Tyrer JP, Edwards SL, Pickett HA, Shen HC, Smart CE, Hillman KM, Mai PL, Lawrenson K, Stutz MD, Lu Y, Karevan R, Woods N, Johnston RL, French JD, Chen X, Weischer M, Nielsen SF, Maranian MJ, Ghoussaini M, Ahmed S, Baynes C, Bolla MK, Wang Q, Dennis J, McGuffog L, Barrowdale D, Lee A, Healey S, Lush M, Tessier DC, Vincent D, Bacot F, Vergote I, Lambrechts S, Despierre E, Risch H, González-Neira A, Rossing M, Pita G, Doherty J, Álvarez N, Larson M, Fridley B, Schoof N, Chang-Claude J, Cicek M, Peto J, Kalli K, Broeks A, Armasu S, Schmidt M, Braaf L, Winterhoff B, Nevanlinna H, Konecny G, Lambrechts D, Rogmann L, Guénel P, Teoman A, Milne R, Garcia J, Cox A, Shridhar V, Burwinkel B, Marme F, Hein R, Sawyer E, Haiman C, Wang-Gohrke S, Andrulis I, Moysich K, Hopper J, Odunsi K, Lindblom A, Giles G, Brenner H, Simard J, Lurie G, Fasching P, Carney M, Radice P, Wilkens L, Swerdlow A, Goodman M, Brauch H, Garcia-Closas M, Hillemanns P, Winqvist R, Dürst M, Devilee P, Runnebaum I, Jakubowska A, Lubinski J, Mannermaa A, Butzow R, Bogdanova N, Dörk T, Pelttari L, Zheng W, Leminen A, Anton-Culver H, Bunker C, Kristensen V, Ness R, Muir K, Edwards R, Meindl A, Heitz F, Matsuo K, du Bois A, Wu A, Harter P, Teo S, Schwaab I, Shu X, Blot W, Hosono S, Kang D, Nakanishi T, Hartman M, Yatabe Y, Hamann U, Karlan B, Sangrajrang S, Kjaer S, Gaborieau V, Jensen A, Eccles D, Høgdall E, Shen C, Brown J, Woo Y, Shah M, Azmi M, Luben R, Omar S, Czene K, Vierkant R, Nordestgaard B, Flyger H, Vachon C, Olson J, Wang X, Levine D, Rudolph A, Weber R, Flesch-Janys D, Iversen E, Nickels S, Schildkraut J, Silva I, Cramer D, Gibson L, Terry K, Fletcher O, Vitonis A, van der Schoot C, Poole E, Hogervorst F, Tworoger S, Liu J, Bandera E, Li J, Olson S, Humphreys K, Orlow I, Blomqvist C, Rodriguez-Rodriguez L, Aittomäki K, Salvesen H, Muranen T, Wik E, Brouwers B, Krakstad C, Wauters E, Halle M, Wildiers H, Kiemeney L, Mulot C, Aben K, Laurent-Puig P, Altena A, Truong T, Massuger L, Benitez J, Pejovic T, Perez J, Hoatlin M, Zamora M, Cook L, Balasubramanian S, Kelemen L, Schneeweiss A, Le N, Sohn C, Brooks-Wilson A, Tomlinson I, Kerin M, Miller N, Cybulski C, Henderson B, Menkiszak J, Schumacher F, Wentzensen N, Le Marchand L, Yang H, Mulligan A, Glendon G, Engelholm S, Knight J, Høgdall C, Apicella C, Gore M, Tsimiklis H, Song H, Southey M, Jager A, den Ouweland A, Brown R, Martens J, Flanagan J, Kriege M, Paul J, Margolin S, Siddiqui N, Severi G, Whittemore A, Baglietto L, McGuire V, Stegmaier C, Sieh W, Müller H, Arndt V, Labrèche F, Gao Y, Goldberg M, Yang G, Dumont M, McLaughlin J, Hartmann A, Ekici A, Beckmann M, Phelan C, Lux M, Permuth-Wey J, Peissel B, Sellers T, Ficarazzi F, Barile M, Ziogas A, Ashworth A, Gentry-Maharaj A, Jones M, Ramus S, Orr N, Menon U, Pearce C, Brüning T, Pike M, Ko Y, Lissowska J, Figueroa J, Kupryjanczyk J, Chanock S, Dansonka-Mieszkowska A, Jukkola-Vuorinen A, Rzepecka I, Pylkäs K, Bidzinski M, Kauppila S, Hollestelle A, Seynaeve C, Tollenaar R, Durda K, Jaworska K, Hartikainen J, Kosma V, Kataja V, Antonenkova N, Long J, Shrubsole M, Deming-Halverson S, Lophatananon A, Siriwanarangsan P, Stewart-Brown S, Ditsch N, Lichtner P, Schmutzler R, Ito H, Iwata H, Tajima K, Tseng C, Stram D, van den Berg D, Yip C, Ikram M, Teh Y, Cai H, Lu W, Signorello L, Cai Q, Noh D, Yoo K, Miao H, Iau P, Teo Y, McKay J, Shapiro C, Ademuyiwa F, Fountzilas G, Hsiung C, Yu J, Hou M, Healey C, Luccarini C, Peock S, Stoppa-Lyonnet D, Peterlongo P, Rebbeck T, Piedmonte M, Singer C, Friedman E, Thomassen M, Offit K, Hansen T, Neuhausen S, Szabo C, Blanco I, Garber J, Narod S, Weitzel J, Montagna M, Olah E, Godwin A, Yannoukakos D, Goldgar D, Caldes T, Imyanitov E, Tihomirova L, Arun B, Campbell I, Mensenkamp A, van Asperen C, van Roozendaal K, Meijers-Heijboer H, Collée J, Oosterwijk J, Hooning M, Rookus M, van der Luijt R, Os T, Evans D, Frost D, Fineberg E, Barwell J, Walker L, Kennedy M, Platte R, Davidson R, Ellis S, Cole T, Bressac-de Paillerets B, Buecher B, Damiola F, Faivre L, Frenay M, Sinilnikova O, Caron O, Giraud S, Mazoyer S, Bonadona V, Caux-Moncoutier V, Toloczko-Grabarek A, Gronwald J, Byrski T, Spurdle A, Bonanni B, Zaffaroni D, Giannini G, Bernard L, Dolcetti R, Manoukian S, Arnold N, Engel C, Deissler H, Rhiem K, Niederacher D, Plendl H, Sutter C, Wappenschmidt B, Borg Å, Melin B, Rantala J, Soller M, Nathanson K, Domchek S, Rodriguez G, Salani R, Kaulich D, Tea M, Paluch S, Laitman Y, Skytte A, Kruse T, Jensen U, Robson M, Gerdes A, Ejlertsen B, Foretova L, Savage S, Lester J, Soucy P, Kuchenbaecker K, Olswold C, Cunningham J, Slager S, Pankratz V, Dicks E, Lakhani S, Couch F, Hall P, Monteiro A, Gayther S, Pharoah P, Reddel R, Goode E, Greene M, Easton D, Berchuck A, Antoniou A, Chenevix-Trench G, Dunning A. Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer. Nature Genetics 2013, 45: 371-384. PMID: 23535731, PMCID: PMC3670748, DOI: 10.1038/ng.2566.Peer-Reviewed Original ResearchMeSH KeywordsAlternative SplicingBiomarkers, TumorBreast NeoplasmsCase-Control StudiesChromatinDNA MethylationFemaleGene Expression ProfilingGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLuciferasesOligonucleotide Array Sequence AnalysisOvarian NeoplasmsPolymorphism, Single NucleotideReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRisk FactorsRNA, MessengerTelomeraseTelomereConceptsMultiple independent variantsTelomere lengthTERT-CLPTM1L locusTERT locusFunctional studiesOvarian cancer susceptibilityOvarian cancer tissuesMean telomere lengthLociIndependent variantsCommon variantsCell linesCancer susceptibilityRisk of breastCancer tissuesOvarian cancerVariantsWhole bloodBreast
2012
Association of large noncoding RNA HOTAIR expression and its downstream intergenic CpG island methylation with survival in breast cancer
Lu L, Zhu G, Zhang C, Deng Q, Katsaros D, Mayne ST, Risch HA, Mu L, Canuto EM, Gregori G, Benedetto C, Yu H. Association of large noncoding RNA HOTAIR expression and its downstream intergenic CpG island methylation with survival in breast cancer. Breast Cancer Research And Treatment 2012, 136: 875-883. PMID: 23124417, DOI: 10.1007/s10549-012-2314-z.Peer-Reviewed Original ResearchConceptsPrimary breast cancerBreast cancerHOTAIR expressionPathologic featuresCox proportional hazards regression modelProportional hazards regression modelsLow HOTAIR expressionUnfavorable disease characteristicsHazards regression modelsIndependent prognostic markerHigh HOTAIR expressionBreast cancer progressionQuantitative RT-PCRPatient survivalDisease characteristicsMethylation-specific PCRPrognostic markerLower riskSignificant associationRNA HOTAIRCancerCancer progressionBiologic relevanceRT-PCRDNA methylation
2011
Physical activity and breast cancer survival: an epigenetic link through reduced methylation of a tumor suppressor gene L3MBTL1
Zeng H, Irwin ML, Lu L, Risch H, Mayne S, Mu L, Deng Q, Scarampi L, Mitidieri M, Katsaros D, Yu H. Physical activity and breast cancer survival: an epigenetic link through reduced methylation of a tumor suppressor gene L3MBTL1. Breast Cancer Research And Treatment 2011, 133: 127-135. PMID: 21837478, DOI: 10.1007/s10549-011-1716-7.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularChromosomal Proteins, Non-HistoneDNA MethylationEpigenesis, GeneticFemaleGene ExpressionGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, Tumor SuppressorHumansKaplan-Meier EstimateMotor ActivityRepressor ProteinsTumor Suppressor ProteinsConceptsBreast cancer patientsBreast cancer survivalCancer patientsPhysical activityOverall survivalSurvival outcomesTumor suppressor geneCancer survivalHormone receptor-positive tumorsModerate-intensity aerobic exerciseHigh expressionBreast cancer deathsReceptor-positive tumorsRandomized clinical trialsExercise-related changesSuppressor genePeripheral blood leukocytesBreast cancer diagnosisGene expressionDisease recurrenceAerobic exerciseCancer deathClinical trialsTumor featuresBlood leukocytes
2010
Let-7a regulation of insulin-like growth factors in breast cancer
Lu L, Katsaros D, Zhu Y, Hoffman A, Luca S, Marion CE, Mu L, Risch H, Yu H. Let-7a regulation of insulin-like growth factors in breast cancer. Breast Cancer Research And Treatment 2010, 126: 687-694. PMID: 20848182, DOI: 10.1007/s10549-010-1168-5.Peer-Reviewed Original ResearchConceptsIGF expressionBreast cancerOvarian cancerInsulin-like growth factorDisease-free survivalCancer cellsAction of IGFBreast cancer patientsExpression of IGFHigh-grade tumorsIGF-II expressionPR-negative cancerLet-7aQuantitative methylation-specific PCRBreast cancer samplesOverall survivalFavorable prognosisPatient survivalCancer patientsGrade tumorsIGF mRNAsMethylation-specific PCRDisease featuresCancerCancer samples