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844 citation(s) found for "Yu, Roger C".

Greater inadvertent muscle damage in direct anterior approach when compared with the direct superior approach for total hip arthroplasty
Amanatullah, Derek F. , Masini, Michael A. , Roger, Douglas J. , Pagnano, Mark W.

The Bone & Joint Journal | August 1, 2016 | Volume: 98-B | Issue: 8 | Pages: 1036-1042

10.1302/0301-620x.98b8.37178 | PMID 27482014 Get It

AimsWe wished to quantify the extent of soft-tissue damage sustained during minimally invasive total hip arthroplasty through the direct anterior (DA) and direct superior (DS) approaches.Materials and MethodsIn eight cadavers, the DA approach was performed on one side, and the DS approach on the other, a single brand of uncemented hip prosthesis was implanted by two surgeons, considered expert in their surgical approaches. Subsequent reflection of the gluteus maximus allowed the extent of muscle and tendon damage to be measured and the percentage damage to each anatomical structure to be calculated.ResultsThe DA approach caused substantially greater damage to the gluteus minimus muscle and tendon when compared with the DS approach (t-test, p = 0.049 and 0.003, respectively). The tensor fascia lata and rectus femoris muscles were damaged only in the DA approach. There was no difference in the amount of damage to the gluteus medius muscle and tendon, piriformis tendon, obturator internus tendon, obturator externus tendon or quadratus femoris muscle between approaches. The posterior soft-tissue releases of the DA approach damaged the gluteus minimus muscle and tendon, piriformis tendon and obturator internus tendon.ConclusionThe DS approach caused less soft-tissue damage than the DA approach. However the clinical relevance is unknown. Further clinical outcome studies, radiographic evaluation of component position, gait analyses and serum biomarker levels are necessary to evaluate and corroborate the safety and efficacy of the DS approach. Cite this article: Bone Joint J 2016;98-B1036–42.
Abstract 3451: Breast cancer risk factor associations by loss of E-cadherin tumor tissue expression: A pooled analysis of 5,896 cases in 12 studies from the Breast Cancer Association Consortium (BCAC)
Horne, Hisani N., Sherman, Mark E., Palakal, Maya, Hewitt, Stephen H., Brenner, Hermann , Mannermaa, Arto , Couch, Fergus J. , Hooning, Maartje J. , Cora, Renata , Oh, Hannah , Schmidt, Marjanka K. , Benı́tez, Javier , Milne, Roger L. , Nevanlinna, Heli , Chenevix‐Trench, Georgia , Couch, Fergus J. , Devilee, Peter , Eccles, Diana , Hooning, Maartje J. , Swerdlow, Anthony J. , Orr, Nick , Troester, Melissa A. , Pharoah, Paul D.P. , García‐Closas, Montserrat , Figueroa, Jonine D. , Brenner, Hermann

Cancer Research | July 26, 2016 | Volume: 76 | Issue: 14_Supplement | Pages: 3451-3451

10.1158/1538-7445.am2016-3451 Get It

Abstract Purpose: Expression of the tumor suppressor gene E-cadherin is diminished in lobular breast cancers and has been implicated in epithelial mesenchymal transition. We assessed risk factor associations for breast cancer stratified by low vs. high E-cadherin protein expression in a pooled analysis within the Breast Cancer Association Consortium (BCAC) studies. Methods: E-cadherin tumor tissue staining was performed centrally at the NCI on formalin-fixed paraffin-embedded tissue microarray (TMA) sections representing 6,010 breast cancer patients from 12 US and European BCAC studies. TMAs were digitally scanned and scored using the SlidePath Digital Image Hub (Leica Biosystems, Wetzlar, Germany). For 5,896 cancers with evaluable tumors, E-cadherin was visually scored as estimated percent of positive cells times stain intensity (0, 1+, 2+, 3+) (score range 0-300). E-cadherin low was defined as tumors with a score < 100. Risk factor associations for low vs. high E-cadherin expressing tumors were evaluated by logistic regression, adjusted for age and study site, and stratified by ER status and histologic subtype. To assess the consistency in results by study, meta-analyses were performed using the random-effects model. All statistical tests were two-sided. Results: E-cadherin low cancers comprised 20% of tumors and were associated with lobular histology, well/moderately differentiated cancers, > 2cm in size, and HER2-negative status (χ2, P < 0.003 for all factors). E-cadherin low status was associated with family history of breast cancer (FH) (OR = 1.32, 95% CI = 1.09-1.60, P-het = 0.005) and ever use of menopausal hormones (OR = 1.26, 95% CI = 1.02-1.56, P-het = 0.03). Study specific meta-plots showed consistent effects across studies for menopausal hormone therapy (I2 = 0.0%, p = 0.64); however, E-cadherin loss by FH did show evidence of heterogeneity by study (I2 = 54%, P = 0.03). Differences in E-cadherin expression remained significant for FH, and menopausal hormone use when further adjusted for ER (P < 0.05). We also found relationships with E-cadherin loss to vary by BMI, number of live births, age at first birth, and oral contraceptive use in stratified analysis by ER status and histologic subtype. Conclusion: This large pooled analysis shows that breast cancer risk factor associations may differ by E-cadherin expression independent of ER status, suggesting that it may represent a marker of etiologic heterogeneity. Citation Format: Hisani N. Horne, Hannah Oh, Mark E. Sherman, Maya Palakal, Stephen H. Hewitt, Marjanka Schmidt, Javier Benitez, Roger Milne, Hermann Brenner, Heli Nevanlinna, Arto Mannermaa, Georgia Chenevix-Trench, Fergus Couch, Peter Devilee, Diana Eccles, Maartje Hooning, Anthony J. Swerdlow, Nick Orr, Melissa A. Troester, Renata Cora, Paul D. Pharoah, Montserrat Garcia-Closas, Jonine D. Figueroa. Breast cancer risk factor associations by loss of E-cadherin tumor tissue expression: A pooled analysis of 5,896 cases in 12 studies from the Breast Cancer Association Consortium (BCAC). [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3451.
Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types
Kar, Siddhartha , Beesley, Jonathan, Olama, Ali Amin Al , Michailidou, Kyriaki , Lawrenson, Kate , Lindström, Sara, Ramus, Susan J. , Thompson, Deborah J. , Investigators, ABCTB, Kibel, Adam S. , Dansonka‐Mieszkowska, Agnieszka , Michael, Agnieszka , Dieffenbach, Aida Karina, Whittemore, Alice S. , Monteiro, Álvaro N.A. , Peixoto, Ana , González‐Neira, Anna , Wu, Anna H. , Lindblom, Annika , Swerdlow, Anthony J. , Cancer), AOCS Study Group & Australian Cancer Study (Ovarian, BioResource, APCB, Ekici, Arif B. , Burwinkel, Barbara , Nordestgaard, Børge G. , Blomqvist, Carl , Phelan, Catherine, McLean, Catriona , Pearce, Celeste Leigh, Vachon, Celine M. , Stegmaier, Christa, Maier, Christiane, Høgdall, Claus , Kang, Daehee , Tessier, Daniel C., Schaid, Daniel J. , Neal, David E. , Eccles, Diana , Flesch‐Janys, Dieter, Wokozorczyk, Dominika, Levine, Douglas A. , Yannoukakos, Drakoulis , Sawyer, Elinor J. , Goode, Ellen L. , Хуснутдинова, Э. К. , Høgdall, Estrid , Song, Fengju, Bruinsma, Fiona, Heitz, Florian , Hamdy, Freddie C. , Olsson, Håkan , Wildiers, Hans , Ulmer, Hans-Ulrich, Pandha, Hardev , Darabi, Hatef, Salvesen, Helga B., Grönberg, Henrik , Brenner, Hermann , Brauch, Hiltrud , Song, Honglin , Lim, Hui-Yi, McNeish, Iain A. , Campbell, Ian , Vergote, Ignace , Lubiński, Jan , Stanford, Janet L. , Benı́tez, Javier , Chang‐Claude, Jenny , Donovan, Jenny , Schildkraut, Joellen M. , Schleutker, Johanna , Hopper, John L. , Kupryjańczyk, Jolanta , Figueroa, Jonine D. , Clements, Judith A. , Knight, Julia A. , Peto, Julian , Cunningham, Julie M. , Pow‐Sang, Julio M. , Batra, Jyotsna , Lu, Karen H., Herkommer, Kathleen , Investigators, kConFab, Matsuo, Keitaro , Muir, Kenneth , Offitt, Kenneth, Chen, Kexin , Moysich, Kirsten B., Aittomäki, Kristiina, Odunsi, Kunle , Kiemeney, Lambertus A. , Massuger, Leon F.A.G. , Hooning, Maartje J. , Pike, Malcolm C., Bolla, Manjeet K. , Luedeke, Manuel, Teixeira, Manuel R. , Goodman, Marc T. , Schmidt, Marjanka K. , Riggan, Marjorie J. , Rossing, Mary Anne, Beckmann, Matthias W. , Moisse, Matthieu , Southey, Melissa C. , Jones, Michael E. , Hildebrandt, Michelle A.T., Hou, Ming‐Feng , Schoemaker, Minouk J. , García‐Closas, Montserrat , Bogdanova, Natalia , Investigators, NBCS, Le, Nhu D. , Orr, Nick , Wentzensen, Nicolas , Pashayan, Nora , Peterlongo, Paolo , Guénel, Pascal , Brennan, Paul , Paulo, Paula , Webb, Penelope M. , Broberg, Per, Fasching, Peter A. , Devilee, Peter , Wang, Qin, Kaneva, Radka , Kopperud, Reidun Kristin, Schmutzler, Rita K., Stephenson, Robert A., MacInnis, Robert J. , Hoover, Robert N. , Winqvist, Robert , Ness, Roberta B., Travis, Ruth C. , Benlloch, Sara, Olson, Sara H. , McDonnell, Shannon K. , Tworoger, Shelley S. , Maia, Sofia , Berndt, Sonja I., Lee, Soo Chin , Teo, Soo‐Hwang , Thibodeau, Stephen N. , Bojesen, Stig E. , Gapstur, Susan M. , Tammela, Teuvo L.J. , Network, the GENICA, Dörk, Thilo , Brüning, Thomas , Wahlfors, Tiina , Edwards, Todd L., Menon, Usha , Hamann, Ute , Mitev, Vanio , Kosma, Veli‐Matti , Setiawan, Veronica Wendy , Kristensen, Vessela, Vogel, Walther , Zheng, Wei , Sieh, Weiva , Blot, William J. , Kluźniak, Wojciech , Gao, Yu‐Tang , Schumacher, Fredrick R. , Freedman, Matthew L., Dunning, Alison M. , Simard, Jacques , Haiman, Christopher A. , Sellers, Thomas A. , Hunter, David J. , Henderson, Brian E., Kraft, Peter , Gayther, Simon A. , Easton, Douglas F. , Chenevix‐Trench, Georgia , Eeles, Rosalind A. , Lambrechts, Diether , Lu, Karen H. , Durocher, Francine , Zheng, Wei , Thorne, Heather , Lambrechts, Diether , Chen, Kexin , Vachon, Celine, Tyrer, Jonathan P. , Kote‐Jarai, Zsofia , Investigators, ABCTB, Gentry‐Maharaj, Aleksandra , Wolk, Alicja , Kierzek, Andrzej , Cox, Angela , Rudolph, Anja , Cancer), AOCS Study Group & Australian Cancer Study (Ovarian, BioResource, APCB, Ziogas, Argyrios , Karlan, Beth Y. , Vachon, Celine M. , Cybulski, Cezary , Slavov, Chavdar , Ambrosone, Christine B. , Teerlink, Craig C. , Stram, Daniel O. , Cramer, Daniel W. , Edwards, Digna R. Velez , Bandera, Elisa V. , Poole, Elizabeth M. , Song, Fengju , Modugno, Francesmary , Wiklund, Fredrik E. , Giles, Graham G. , Risch, Harvey A. , Nevanlinna, Heli , Anton‐Culver, Hoda , Gronwald, Jacek , Doherty, Jennifer A. , Permuth, Jennifer B. , Dennis, Joe , Park, Jong Y. , Czene, Kamila , Khaw, Kay‐Tee , Investigators, kConFab, Moysich, Kirsten B., FitzGerald, Liesel M. , Cook, Linda S. , Cannon‐Albright, Lisa , Hooning, Maartje J. , Aly, Markus , Sanderson, Maureen , Lush, Michael J. , Hildebrandt, Michelle A.T. , Rahman, Nazneen , Investigators, NBCS, Wang, Qin, Cai, Qiuyin , Li, Qiyuan , Bützow, Ralf C. , Milne, Roger L. , Berndt, Sonja I. , Kjær, Susanne K. , Pejovic, Tanja B. , Network, the GENICA, Key, Tim , Kristensen, Vessela N. , Arndt, Volker , Shu, Xiao‐Ou , Berchuck, Andrew , Spurdle, Amanda B. , Chanock, Stephen Jacob , Couch, Fergus J. , Hall, Per N , Pharoah, Paul D.P. , Dörk, Thilo , Lambrechts, Diether , Kiemeney, Lambertus A , McNeish, Iain A , Peterlongo, Paolo , Ramus, Susan J , Teixeira, Manuel R , Teo, Soo H , Tworoger, Shelley S , Webb, Penelope M , Eccles, Diana , Menon, Usha , Lawrenson, Kate , Monteiro, Alvaro N , Swerdlow, Anthony J , Moysich, Kirsten , Campbell, Ian G , Eeles, Rosalind A , Southey, Melissa C , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Pashayan, Nora , Michael, Agnieszka , Maclnnis, Robert , Matsuo, Keitaro , Dunning, Alison M , Heitz, Florian , Jones, Michael E , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , Brenner, Hermann , Guénel, Pascal , García-Closas, Montserrat , Schmidt, Marjanka K , Ekici, Arif B , Moisse, Matthieu , Michailidou, Kyriaki , Bogdanova, Natalia V , Kraft, Peter , Benitez, Javier , Simard, Jacques , Chenevix-Trench, Georgia , Zheng, Wei , Figueroa, Jonine D , Høgdall, Estrid , Høgdall, Claus K , Kar, Siddhartha , Batra, Jyotsna , Clements, Judith , Setiawan, Veronica W , Yannoukakos, Drakoulis , Devilee, Peter , Lubinski, Jan , Bojesen, Stig E , Schoemaker, Minouk J , Goodman, Marc T , Wildiers, Hans , Mclean, Catriona , Brauch, Hiltrud , Lindblom, Annika , Sawyer, Elinor J , Orr, Nick , McDonnell, Shannon K , Kang, Daehee

Cancer Discovery | July 18, 2016 | Volume: 6 | Issue: 9 | Pages: 1052-1067

10.1158/2159-8290.cd-15-1227 | PMID 27432226 Get It

Abstract Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10−8 seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type–specific expression quantitative trait locus and enhancer–gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10−5 in the three-cancer meta-analysis. Significance: We demonstrate that combining large-scale GWA meta-analysis findings across cancer types can identify completely new risk loci common to breast, ovarian, and prostate cancers. We show that the identification of such cross-cancer risk loci has the potential to shed new light on the shared biology underlying these hormone-related cancers. Cancer Discov; 6(9); 1052–67. ©2016 AACR. This article is highlighted in the In This Issue feature, p. 932
Recommendations for the diagnosis and initial evaluation of patients with Waldenström Macroglobulinaemia: A Task Force from the 8th International Workshop on Waldenström Macroglobulinaemia
Castillo, Jorge J. , García‐Sánz, Ramón , Hatjiharissi, Evdoxia , Kyle, Robert A. , Leleu, Xavier , McMaster, Mary L. , Merlini, Giampaolo , Morra, Enrica, Owen, Roger G., Poulain, Stéphanie , Stone, Marvin J., Tam, Constantine S. , Varettoni, Marzia , Dimopoulos, Meletios Α. , Kastritis, Efstathios , Minnema, Monique C , Treon, Steven P. , Merlini, Giampaolo , Dimopoulos, Meletios A , Tam, Constantine S , Kastritis, Efstathios , Garcia-Sanz, Ramon , Castillo, Jorge J , Varettoni, Marzia

British Journal of Haematology | July 5, 2016 | Volume: 175 | Issue: 1 | Pages: 77-86

10.1111/bjh.14196 | PMID 27378193 Get It

SummaryThe diagnosis of Waldenström macroglobulinaemia (WM) can be challenging given the variety of signs and symptoms patients can present. Furthermore, once the diagnosis of WM is established, the initial evaluation should be thorough as well as appropriately directed. During the 8th International Workshop for WM in London, United Kingdom, a multi‐institutional task force was formed to develop consensus recommendations for the diagnosis and initial evaluation of patients with WM. In this document, we present the results of the deliberations that took place to address these issues. We provide recommendations for history‐taking and physical examination, laboratory studies, bone marrow aspiration and biopsy analysis and imaging studies. We also provide guidance on the initial evaluation of special situations, such as anaemia, hyperviscosity, neuropathy, Bing‐Neel syndrome and amyloidosis. We hope these recommendations serve as a practical guidance to clinicians taking care of patients with a suspected or an established diagnosis of WM.
Multimorbidity in Heart Failure: Effect on Outcomes
Manemann, Sheila M., Chamberlain, Alanna M. , Boyd, Cynthia M. , Gerber, Yariv , Weston, Susan A., Jiang, Ruoxiang , Roger, Véronique L. , Dunlay, Shannon M. , Chamberlain, Alanna M

Journal of the American Geriatrics Society | June 27, 2016 | Volume: 64 | Issue: 7 | Pages: 1469-1474

10.1111/jgs.14206 | PMID 27348135 Get It

Objectives To investigate the effect of the number and type of comorbid conditions on death and hospitalizations in individuals with incident heart failure ( HF ). Design Population‐based cohort study. Setting Olmsted County, Minnesota. Participants Olmsted County, Minnesota, residents with incident HF from 2000 to 2010 (mean age 76 ± 14, 56% female) (N = 1,714). Measurements The prevalence of 16 chronic conditions obtained at HF diagnosis classified into three groups: cardiovascular ( CV ) related, other physical, and mental. Results The mean number of conditions per participant was 2.6 ± 1.5 for CV ‐related conditions, 1.3 ± 1.1 for other physical conditions, and 0.30 ± 0.61 for mental conditions. After a mean follow‐up of 4.2 years, 1,073 deaths and 6,306 hospitalizations had occurred. After adjustment for age, sex, ejection fraction, in‐ or outpatient status, and number of other conditions, an increase of one other physical condition was associated with a 14% ( HR = 1.14, 95% CI = 1.08–1.20) greater risk of death and a 26% ( HR = 1.26, 95% CI = 1.20–1.32) greater risk of hospitalization, and an increase of one mental condition was associated with a 31% ( HR = 1.31, 95% CI = 1.19–1.44) greater risk of death and an 18% ( HR = 1.18, 95% CI = 1.07–1.29) greater risk of hospitalization. In contrast, an increase of one CV ‐related condition was not associated with greater risk of death and was associated with a 10% ( HR = 1.10, 95% CI = 1.06–1.15) greater risk of hospitalization. Conclusion CV ‐related conditions are the most common type of comorbid conditions in individuals with HF , but other physical and mental conditions are more strongly associated with death and hospitalizations. This underscores the effect of non‐ CV conditions on outcomes in HF .
Perianesthetic Management of Patients With Thyroid-Stimulating Hormone–Secreting Pituitary Adenomas
Dyer, Matthew W., Gnagey, Amy, Jones, Bryan T., Pula, Roger D., Lanier, William L. , Atkinson, John L. D., Pasternak, Jeffrey J.

Journal of Neurosurgical Anesthesiology | June 18, 2016 | Volume: 29 | Issue: 3 | Pages: 341-346

10.1097/ana.0000000000000325 | PMID 27322091 Get It

Background: Thyroid-stimulating hormone (TSH)–secreting pituitary adenomas are a rare cause of secondary hyperthyroidism. Anesthetic management of these patients has not been formally described in the literature. Materials and Methods: Patients who underwent resection of a TSH-secreting pituitary adenoma during 1987 to 2012 at a single institution were identified. Preoperative thyroid hormone state, anesthetic management, and outcome were recorded. Hemodynamic associations with intraoperative events were compared between those who were hyperthyroid and euthyroid at the time of surgery. Results: Of 2268 patients having transsphenoidal resection of a pituitary tumor, 19 (0.84%) had resection of a TSH-secreting adenoma. At the time of surgery, 6 (32%) were hyperthyroid, 11 (58%) were euthyroid, and 2 (10%) were hypothyroid based on serum thyroxine concentration. General anesthesia was maintained with a potent inhaled anesthetic in all patients, and included nitrous oxide in 18 of 19 (95%). Seventeen (90%) had an arterial catheter placed for surgery. Only 1 patient (5%) required an intraoperative blood transfusion. There were no significant differences in heart rate or blood pressure at induction of anesthesia, upon intranasal injection of local anesthetic containing epinephrine, or upon emergence from anesthesia, between patients who were chemically hyperthyroid or euthyroid. Twelve of 19 (63%) had tumor extension beyond the sella turcica. Common complications were nausea and vomiting (42%), diabetes insipidus (32%), and temporary or permanent hypopituitarism (42%). Conclusions: Patients having resection of TSH-secreting pituitary adenomas can present in any thyroid state. An awareness of risks and potential complications in patients with TSH-secreting adenomas can help tailor perioperative care.
No Decline in the Risk of Stroke Following Incident Atrial Fibrillation Since 2000 in the Community: A Concerning Trend
Chamberlain, Alanna M. , Brown, Robert D. , Alonso, Álvaro , Killian, Jill M. , Weston, Susan A., Roger, Véronique L. , Gersh, Bernard J. , Alonso, Alvaro , Chamberlain, Alanna M

Journal of the American Heart Association | June 14, 2016 | Volume: 5 | Issue: 6 | Pages: No page available

10.1161/jaha.116.003408 | PMID 27412902 Get It

Background While atrial fibrillation is a recognized risk factor for stroke, contemporary data on trends in stroke incidence after the diagnosis of atrial fibrillation are scarce. Methods and Results Olmsted County, MN residents with incident atrial fibrillation or atrial flutter (collectively referred to as AF ) from 2000 to 2010 were identified. Cox regression determined associations of year of AF diagnosis with ischemic stroke and transient ischemic attack ( TIA ) occurring through 2013. Among 3247 AF patients, 321 (10%) had an ischemic stroke/ TIA over a mean of 4.6 years (incidence rate [95% CI ] per 100 person‐years: 2.14 [1.91–2.38]). Two hundred thirty‐nine (7%) of 3265 AF patients experienced an ischemic stroke (incidence rate: 1.54 [1.35–1.75]). The risk of both outcomes remained unchanged over time after adjusting for demographics and comorbidities (hazard ratio [95% CI ] per year of AF diagnosis: 1.00 [0.96–1.04] for ischemic stroke/ TIA ; 1.01 [0.96–1.06] for ischemic stroke only). In analyses restricted to patients with prescription information, the rates of anticoagulation use did not change over time, reaching 50.8% at 1 year after AF diagnosis. Further adjustment for anticoagulation use did not alter the temporal trends in stroke incidence (hazard ratio [95% CI ] per year of AF diagnosis: 1.06 [0.97–1.15] for ischemic stroke/ TIA ; 1.08 [0.98–1.20] for ischemic stroke only). Conclusions Strokes/ TIA s are frequent after AF , occurring in 10% of patients after 5 years of follow‐up. The occurrence of stroke/ TIA did not decline over the last decade, which may be influenced by a leveling off of anticoagulation use. This concerning trend has major public health implications.
DNA Methylation Signature Reveals Cell Ontogeny of Renal Cell Carcinomas
Malouf, Gabriel G. , Zhang, Jianping , Creighton, Chad J. , Ho, Thai H. , Lu, Yue , Raynal, Noël J.‐M. , Tamboli, Pheroze, Allanick, Frederick, Spano, Jean-Philippe, Khayat, David, Wood, Christopher G. , Su, Xiaoping , Karam, Jose Antonio , Mouawad, Roger , Jelı́nek, Jaroslav , Tannir, Nizar , Ho, Thai

Clinical Cancer Research | June 2, 2016 | Volume: 22 | Issue: 24 | Pages: 6236-6246

10.1158/1078-0432.ccr-15-1217 | PMID 27256309 Get It

Abstract Purpose: DNA methylation is a heritable covalent modification that is developmentally regulated and is critical in tissue-type definition. Although genotype–phenotype correlations have been described for different subtypes of renal cell carcinoma (RCC), it is unknown if DNA methylation profiles correlate with morphological or ontology based phenotypes. Here, we test the hypothesis that DNA methylation signatures can discriminate between putative precursor cells in the nephron. Experimental Designs: We performed deep profiling of DNA methylation and transcriptome in diverse histopathological RCC subtypes and validated DNA methylation in an independent dataset as well as in The Cancer Genome Atlas Clear Cell and Chromophobe Renal Cell Carcinoma Datasets. Results: Our data provide the first mapping of methylome epi-signature and indicate that RCC subtypes can be grouped into two major epi-clusters: C1, which encompasses clear-cell RCC, papillary RCC, mucinous and spindle cell carcinomas and translocation RCC; C2, which comprises oncocytoma and chromophobe RCC. Interestingly, C1 epi-cluster displayed 3-fold more hypermethylation as compared with C2 epi-cluster. Of note, differentially methylated regions between C1 and C2 epi-clusters occur in gene bodies and intergenic regions, instead of gene promoters. Transcriptome analysis of C1 epi-cluster suggests a functional convergence on Polycomb targets, whereas C2 epi-cluster displays DNA methylation defects. Furthermore, we find that our epigenetic ontogeny signature is associated with worse outcomes of patients with clear-cell RCC. Conclusions: Our data define the epi-clusters that can discriminate between distinct RCC subtypes and for the first time define the epigenetic basis for proximal versus distal tubule derived kidney tumors. Clin Cancer Res; 22(24); 6236–46. ©2016 AACR.
Social and behavioural factors associated with frailty trajectories in a population-based cohort of older adults
Chamberlain, Alanna M. , Sauver, Jennifer L. St. , Jacobson, Debra J., Manemann, Sheila M., Fan, Chun , Roger, Véronique L. , Yawn, Barbara P. , St Sauver, Jennifer L, Finney Rutten, Lila J, Rutten, Lila J. Finney , St Sauver, Jennifer L , Chamberlain, Alanna M

BMJ Open | May 27, 2016 | Volume: 6 | Issue: 5 | Pages: e011410

10.1136/bmjopen-2016-011410 | PMID 27235302 Get It

Objective The goal of this study was to identify distinct frailty trajectories (clusters of individuals following a similar progression of frailty over time) in an ageing population and to determine social and behavioural factors associated with frailty trajectories. Design Population-based cohort study. Setting Olmsted County, Minnesota. Participants Olmsted County, Minnesota residents aged 60–89 in 2005. Primary outcome measure Changes in frailty over an 8-year period from 2005 to 2012, measured by constructing a yearly frailty index. Frailty trajectories by decade of age were determined using k-means cluster modelling for longitudinal data. Results After adjustment for age and sex, all social and behavioural factors (education, marital status, living arrangements, smoking status and alcohol use) were significantly associated with frailty trajectories in those aged 60–69 and 70–79 years. After further adjustment for baseline frailty, the likelihood of being in the high frailty trajectory was greatest among those reporting concerns from relatives/friends about alcohol consumption (OR (95% CI) 2.26 (1.19 to 4.29)) and those with less than a high school education (OR (95% CI) 1.98 (1.32 to 2.96)) in the 60–69 year olds. In the 70–79 year olds, the largest associations were observed among those with concerns from oneself about alcohol consumption (OR (95% CI) 1.92 (1.23 to 3.00)), those with less than a high school education (OR (95% CI) 1.57 (1.12 to 2.22)), and those living with family (vs spouse; OR (95% CI) 1.76 (1.05 to 2.94)). No factors remained associated with frailty trajectories in the 80–89 year olds after adjustment for baseline frailty. Conclusions Social and behavioural factors are associated with frailty, with stronger associations observed in younger ages. Recognition of social and behavioural factors associated with increasing frailty may inform interventions for individuals at risk of worsening frailty, specifically when targeted at younger individuals.