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1899 citation(s) found for "Núñez, Sara".

Prospective pooled analysis of four randomized trials investigating duration of adjuvant (adj) oxaliplatin-based therapy (3 vs 6 months {m}) for patients (pts) with high-risk stage II colorectal cancer (CC).
Sobrero, Alberto F. , Sougklakos, Ioannis, Meyers, Jeffery P., Saunders, Mark , Yamanaka, Takeharu , Boukovinas, Ioannis , Holländer, Niels Henrik , Yamazaki, Kentaro , Harkin, Andrea , Iveson, Timothy , Yoshino, Takayuki , Ou, Fang‐Shu , Shi, Qian , Labianca, Roberto , Torri, Valter , Georgoulias, Vassilis , Lonardi, Sara , Rosati, Gerardo , Paul, James

Journal of Clinical Oncology | May 27, 2019 | Volume: 37 | Issue: 15_suppl | Pages: 3501-3501

10.1200/jco.2019.37.15_suppl.3501 Get It

3501 Background: 6m of oxaliplatin-based treatment is an option as adj chemotherapy for patients with high risk stage II CC (T4, inadequate nodal harvest, poorly differentiated, obstruction, perforation or vascular/perineural invasion). The IDEA collaboration showed shorter treatment duration to be appropriate for most pts with stage III colon cancer. The results of the 4 IDEA studies with stage II pts are presented here. Methods: A prospective, pre-planned pooled analysis of high-risk stage II patients from 4 concurrently conducted randomized phase III trials (SCOT, TOSCA, ACHIEVE-2, HORG) was performed to evaluate non-inferiority (NI) of 3m compared with 6m (ref) of adj FOLFOX/CAPOX (regimen preselected, not randomized). The primary endpoint was disease-free survival (DFS), NI was to be declared if the 2-sided 80% confidence interval (CI) for DFS hazard ratio (HR 3m v 6m) estimated by a stratified Cox model was below 1.2. 542 DFS events were required to provide 80% power to declare NI. NI was also examined within regimen, T4 (Yes v No) and inadequate nodal harvest (Yes v No) as pre-planned subgroups. Results: The primary analysis included 3273 randomised pts of which 1254 had FOLFOX and 2019 had CAPOX. There were 552 events and the median follow-up was 60.2 m. There was significantly less grade 3-5 toxicity with 3m treatment (p < .0001). The 5-year DFS rate was 80.7% and 84.0% for 3m and 6m treatment with an estimated DFS HR of 1.18 (80% CI:1.05-1.31, p for NI = 0.404). For CAPOX the estimated HR was 1.02 (80% CI: 0.88-1.17, p for NI = 0.087) and for FOLFOX the estimated HR was 1.42 (80% CI: 1.19-1.70, p for NI = 0.894). The test for interaction between duration and regimen was not statistically significant (p = .174 adjusted for multiple testing) but was stronger than that for the other subgroups examined. Conclusions: In the overall population non-inferiority for 3m adj treatment in pts with high-risk stage II CC was not shown. As with the stage III population the choice of adj regimen appears important (although this did not reach statistical significance) with a small difference in DFS between 3 and 6 m treatment if CAPOX is used. Clinical trial information: ISRCTN59757862.
Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification
Parsons, Michael T. , Tudini, Emma , Hahnen, Eric, Wappenschmidt, Barbara, Feliubadaló, Lídia , Aalfs, Cora M. , Agata, Simona, Aittomäki, Kristiina, Alducci, Elisa, Alonso‐Cerezo, María Concepción , Arnold, Norbert, Auber, Bernd , Austin, Rachel , Azzollini, Jacopo , Balmañà, Judith , Bartram, Claus R., Blümcke, Britta, Bonache, Sandra , Bonanni, Bernardo, Borg, Åke , Bortesi, Beatrice, Brunet, Joan , Bruzzone, Carla, Bucksch, Karolin , Cagnoli, Giulia , Caldés, Trinidad, Caliebe, Almuth , Calvello, Mariarosaria , Capone, Gabriele Lorenzo, Caputo, Sandrine M. , Carrasco, Estela , Caux‐Moncoutier, Virginie, Cavalli, Pietro, Cini, Giulia , Clarke, Edward , Cops, Elisa J., Cortesi, Laura , Couch, Fergus J., Darder, Esther , Debatin, Irmgard, Valle, Jesús Del , Delnatte, Capucine, Derive, Nicolas , Ditsch, Nina, Domchek, Susan M., Dutrannoy, Véronique, Eccles, Diana , Ehrencrona, Hans , Enders, Ute, Evans, D. Gareth , Farra, Chantal, Faust, Ulrike , Felbor, Ute , Feroce, Irène , Fine, Miriam, Galvão, Henrique C.R. , Gambino, Gaetana , Gehrig, Andrea, Gensini, Francesca , Germani, Aldo , Giesecke, J, Gómez, Carolina, Garcia, Encarna B., González, Sara , Grau, Èlia, Grill, Sabine , Groß, Eva, Guillaud‐Bataille, Marine , Gutiérrez‐Enríquez, Sara , Haaf, Thomas, Hackmann, Karl , Hansen, Thomas van Overeem , Harris, Marion, Hauke, Jan , Heinrich, T., Hellebrand, Heide, Herold, Karen, Honisch, Ellen, Horváth, Judit , Houdayer, Claude , Hübbel, Verena, Iglesias, Sílvia, Izquierdo, Á. , James, Paul A. , Janssen, Linda A.M., Jeschke, Udo, Kaulfuß, Silke , Keupp, Katharina, Kiechle, Marion , Kölbl, Alexandra C., Krieger, Sophie , Kruse, Torben A., Kvist, Anders , Lalloo, Fiona, Larsen, Mirjam, Lattimore, Vanessa , Lautrup, Charlotte Kvist , Ledig, Susanne, Leinert, Elena , Lim, Joanna , Loeffler, Markus, López‐Fernández, Adrià , Lucci‐Cordisco, Emanuela , Maass, Nicolai, Manoukian, Siranoush, Marabelli, Monica , Matricardi, Laura , Meindl, Alfons , Michelli, Rodrigo D., Moghadasi, Setareh , Moles‐Fernández, Alejandro , Montagna, Marco , Montalban, Gemma , Monteiro, Álvaro N.A. , Montes, Eva, Mori, Luigi , Müller, Clemens R., Mundhenke, Christoph , Naldi, Nadia, Nathanson, Katherine L. , Navarro, Matilde, Nichols, Cassandra , Niederacher, Dieter , Nielsen, Henriette Roed, Ong, Kai‐Ren , Pachter, Nicholas , Palmero, Edenir Inêz , Pedersen, Inge Søkilde , Peissel, Bernard , Pfeifer, Katharina, Pineda, Marta , Pohl‐Rescigno, Esther, Quante, Anne S. , Ramser, Juliane, Reis, Rui Manuel , Révillion, Françoise, Rhiem, Kerstin, Riboli, Barbara, Ritter, Julia, Rivera, Daniela , Rofes, Paula , Rump, Andreas , Salinas, Mónica, Abajo, A.M. SÁnchez De, Schmidt, Gunnar, Schoenwiese, Ulrike, Seggewiß, Jochen, Solanes, Ares, Stiller, Mathias , Sullivan, Kelly J., Susman, Rachel , Sutter, Christian , Tavtigian, Sean V. , Teo, Soo‐Hwang , Thomassen, Mads, Tibiletti, Maria Grazia , Tognazzo, Silvia , Tornero, Eva , Törngren, Therese , Torres‐Esquius, Sara , Trainer, Alison, Tucker, Kathy , Asperen, Christi J. van, Mackelenbergh, Marion van , Varesco, Liliana, Vargas‐Parra, Gardenia , Varon, Raymonda, Vega, Ana , Velasco, Ángela, Vesper, Anne‐Sophie, Viel, Alessandra , Vreeswijk, Maaike P.G. , Wagner, Sebastian , Waha, Anke, Walker, Logan C., Walters, Rhiannon, Wang‐Gohrke, Shan , Weber, Bernhard , Weichert, Wilko , Wieland, Kerstin, Wöckel, Achim , Woodward, Emma R. , Zachariae, Silke , Zampiga, Valentina , Zeder-Göß, C, Investigators, KConFab, Lázaro, Conxi, Nicolo, Arcangela De , Radice, Paolo , Engel, Christoph , Schmutzler, Rita K., Goldgar, David E. , Manoukian, Siranoush , Gómez, E. , Houdayer, Claude , de la Hoya, Miguel , Diez, Orland , Eccles, Diana , Gutiérrez-Enríquez, Sara , Susman, Rachel , Tavtigian, Sean V , Toland, Amanda Ewart , Toss, Angela , Vega, Ana , Vreeswijk, Maaike P G , Woodward, Emma R , Radice, Paolo , Spurdle, Amanda B , James, Paul , Parsons, Michael T , Teo, Soo H , Monteiro, Alvaro N , Auber, Bernd , Azzollini, Jacopo , Brunet, Joan , Darder, Esther , Ehrencrona, Hans , Evans, D Gareth , Matricardi, Laura , Palmero, Edenir I , Nathanson, Katherine L , Pineda, Marta , Cini, Giulia , Cortesi, Laura , Del Valle, Jesús , Engel, Christoph , Izquierdo, Angel , Montagna, Marco , Rump, Andreas , Viel, Alessandra , Reis, Rui Manuel , Montalban, Gemma , Calvello, Mariarosaria , Feliubadaló, Lidia , Gómez-García, Encarna B , González, Sara , Hansen, Thomas van Overeem , Hauke, Jan , Zampiga, Valentina , De Nicolo, Arcangela , Manoukian, Siranoush , Li, Hongyan , Hahnen, Eric , Agata, Simona , Barbieri, Elena , Blanco, Ana , Bonanni, Bernardo , Bruzzone, Carla, Caligo, Maria A. , Carnevali, Ileana Wanda , Cavalli, Pietro , Concolino, Paola , Hoya, Miguel de la , Dean, Michael , Dı́ez, Orland , Farra, Chantal, Foulkes, William D. , Gerdes, Anne‐Marie , Gismondi, Viviana , Garcia, Encarna B., Guerrieri‐Gonzaga, Aliana , Guillaud-Bataille, Marine , Jeschke, Udo , Lewis, Alexandra L. , Loeffler, Markus, Meindl, Alfons , Moserle, Lidia , Navarro, Matilde, Nevanlinna, Heli , Papi, Laura , Perez-Segura, Pedro , Pohl‐Rescigno, Esther, Poplawski, Nicola Kazia , Porfirio, Berardino , Révillion, Françoise, Rhiem, Kerstin , Steinemann, Doris , Stoppa‐Lyonnet, Dominique , Sullivan, Kelly J., Teulé, Àlex , Tischkowitz, Marc D. , Asperen, Christi J. van , Varesco, Liliana , Velasco, Àngela , Weber, Bernhard H. F., Wiesmüller, Lisa , Witzel, Isabell , Investigators, kConFab, Lázaro, Conxi, Spurdle, Amanda B. , Balmaña, Judith , Austin, Rachel

Human Mutation | May 27, 2019 | Volume: 40 | Issue: 9 | Pages: 1557-1578

10.1002/humu.23818 | PMID 31131967 Get It

Surrogate Decision Making for Incarcerated Patients
Scarlet, Sara, DeMartino, Erin S. , Siegler, Mark

JAMA Internal Medicine | May 20, 2019 | Volume: 179 | Issue: 7 | Pages: 861

10.1001/jamainternmed.2019.1386 | PMID 31107501 Get It

Abstract PD2-01: Personalized serial circulating tumor DNA (ctDNA) analysis in high-risk early stage breast cancer patients to monitor and predict response to neoadjuvant therapy and outcome in the I-SPY 2 TRIAL
Magbanua, MJM, Hirst, GL, Wolf, DM, Ma, AA, Bergin, Emily, Venters, Sara J., Salari, Raheleh, Tin, T., Sawyer, Sarah , Louie, MC, Zimmermann, B, Lin, C-HJ, Liang, WS, Cuyugan, Lori, Chien, AJ, Forero, Andres , Liu, M, Delson, AL, Asare, Smita , Esserman, L., Veer, Laura van’t, Hirst, Gillian L. , Hirst, Gillian L , Swigart, Lamorna Brown , Yau, Christina , Sethi, Himanshu , Wu, Hue-Tsi , Keats, Jonathan J. , Enriquez, D, Tripathy, Debu , DeMichele, Angela

Cancer Research | May 11, 2019 | Volume: 79 | Issue: 4_Supplement | Pages: PD2-01-PD2-01

10.1158/1538-7445.sabcs18-pd2-01 Get It

Abstract ctDNA analysis offers a non-invasive approach for monitoring response and resistance to treatment. Serial ctDNA testing during neoadjuvant therapy (NAT) may provide early indicators of emerging resistance and disease progression. In this study, we analyzed ctDNA from high-risk early breast cancer patients who received NAT and definitive surgery in the I-SPY 2 TRIAL (NCT01042379). We hypothesize that (1) assessment of ctDNA levels early in treatment will improve the performance of molecular and imaging-based predictors of pathologic complete response (pCR) to NAT; and (2) levels of ctDNA after NAT are associated with residual cancer burden and recurrence [distant recurrence free survival (DRFS)]. Methods: ctDNA analysis was performed in 84 high-risk stage II and III breast cancer patients randomized to neoadjuvant investigational agent (n=52), AKT inhibitor MK-2206 (M) in combination with paclitaxel (T) followed by doxorubicin and cyclophosphamide (AC) (M+T-&gt;AC), or standard-of-care (T-&gt;AC) (n=32). HER2+ patients also received trastuzumab (H). Serial plasma was collected before NAT (T0), early treatment (3 weeks, T1), between regimens (12 weeks, T2), and after NAT prior to surgery (T3). Mutational profiles derived from pretreatment tumor biopsy and normal matched DNA whole exome sequencing were used to design personalized assays targeting 16 patient-specific somatic variants to detect ctDNA in serial plasma. Results: Of the 84 patients in this study, 43% were HR-/HER2- (TNBC), 35% HR+/HER2-, and 23% HER2+. In total, 74% (61 of 83), 35% (28 of 79), 14% (9 of 65), and 8% (5 of 61) were positive for ctDNA at timepoints T0, T1, T2, and T3, respectively. At T0, ctDNA positivity and levels (average number of mutant molecules detected per mL) were significantly associated with increased tumor burden (by clinical and MRI examination), more aggressive tumor biology (as reflected in higher Mammaprint scores and grade) and subtype (HER2+ and TNBC). Twenty-seven percent (27%) of the 84 patients achieved a pCR and all patients who were ctDNA-positive at T3 (n=5) did not achieve a pCR. Currently, data are being collected to: (1) assess the relationship of ctDNA and MRI imaging in predicting tumor response to therapy; (2) examine the relationship of ctDNA levels before and after NAT with 3-year DRFS and event-free survival (EFS). The results of these analyses will be presented at the SABCS 2018 meeting. Conclusions: Our study provides a platform to evaluate the clinical significance of ctDNA for serial monitoring of response to NAT. Accurate and early response prediction by highly sensitive ctDNA analysis can facilitate a timely and judicious change in treatment to improve patients' chances of achieving a pCR. Finally, personalized ctDNA testing may complement imaging and pathologic evaluation of tumor response to fine-tune pCR as a surrogate endpoint for improved DRFS and EFS. Citation Format: Magbanua MJM, Brown-Swigart L, Hirst GL, Yau C, Wolf D, Ma AA, Bergin E, Venters S, Sethi H, Wu H-T, Salari R, Tin T, Sawyer S, Louie M, Zimmermann B, Lin C-HJ, Keats J, Liang WS, Cuyugan L, Enriquez D, Tripathy D, Chien AJ, Forero A, DeMichele A, Liu M, Delson AL, Asare S, Esserman L, van't Veer L, I-SPY 2 Consortium. Personalized serial circulating tumor DNA (ctDNA) analysis in high-risk early stage breast cancer patients to monitor and predict response to neoadjuvant therapy and outcome in the I-SPY 2 TRIAL [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr PD2-01.
Reply to “Supporting Family Physician Maternity Care Providers”
Goldstein, Jessica Taylor , Hartman, Scott, Meunier, Matthew R. , Panchal, Bethany, Pecci, Christine Chang , Zink, Nancy M., Shields, Sara G.

Family Medicine | May 10, 2019 | Volume: 51 | Issue: 5 | Pages: 447-447

10.22454/fammed.2019.119002 | PMID 31081923 Get It

Delayed implant infection with Cutibacterium acnes (Propionibacterium acnes) 30 years after silicone sheet orbital floor implant
Vichitvejpaisal, Pornpattana, Lally, Sara E. , Dalvin, Lauren A. , Shields, Carol L.

Orbit | April 25, 2019 | Volume: 39 | Issue: 2 | Pages: 139-142

10.1080/01676830.2019.1605613 | PMID 31021283 Get It

Triglyceride and Triglyceride/HDL (High Density Lipoprotein) Ratio Predict Major Adverse Cardiovascular Outcomes in Women With Non‐Obstructive Coronary Artery Disease
Prasad, Megha , Sara, Jaskanwal Deep Singh , Lennon, Ryan J. , Lerman, Lilach O. , Sara, Jaskanwal, Widmer, Robert J, Lennon, Ryan, Widmer, R. Jay , Lerman, Amir

Journal of the American Heart Association | April 24, 2019 | Volume: 8 | Issue: 9 | Pages: No page available

10.1161/jaha.118.009442 | PMID 31014162 Get It

Background Women with non‐obstructive coronary artery disease have increased cardiovascular morbidity. The role of risk factors in this population has yet to be established. We aimed to study the predictive effect of triglycerides and the triglyceride/high‐density lipoprotein ratio on major adverse cardiovascular events (MACE) in patients with non‐obstructive coronary artery disease, and to explore the role of lipid lowering therapy in modifying this risk. Methods and Results This is a prospective cohort study enrolling patients with anginal symptoms referred to the cardiac catheterization laboratory for suspected ischemia, who were subsequently diagnosed with non‐obstructive coronary artery disease, defined as no stenosis >20% on angiography. All patients had baseline laboratory testing and were followed for 7.8±4.3 years for the development of major adverse cardiovascular events. We performed Cox proportional hazard testing to determine the effect of triglycerides on risk of major adverse cardiovascular events among men and women by baseline statin use. A total of 462 patients were included. Median age was 53 (Q1, Q3: 45, 62) years. In a Cox proportional hazard model stratified by statin use adjusting for confounders, among those not on baseline statins, triglycerides were independently predictive of major adverse cardiovascular events in women (per 50 mg/dL risk ratio: hazard ratio 1.25 [95% CI : 1.06, 1.47]; P =0.01). This was not true among men. The interaction between triglycerides and sex, and triglycerides and statin was statistically significant. Conclusions Triglyceride levels may play a key role in predicting cardiovascular‐specific risk in women, and statin use may be protective. Further investigation is necessary to better delineate the role of statin use in preventing cardiovascular risk.
Analysis of Heritability and Genetic Architecture of Pancreatic Cancer: A PanC4 Study
Chen, Fei , Childs, Erica J., Mocci, Evelina , Bracci, Paige M. , Gallinger, Steven , Li, Donghui , Scélo, Ghislaine , Borges, Michael , Brennan, Paul , Chaffee, Kari G. , Duggal, Priya , Hassan, Manal J., Holly, Elizabeth A. , Hung, Rayjean J., Kurtz, Robert C. , Oberg, Ann L. , Petersen, Gloria M. , Rabe, Kari G. , Hung, Rayjean J. , Oberg, Ann L , Orlow, Irene , Klein, Alison P , Li, Donghui , Hung, Rayjean J , Chen, Fei , Neale, Rachel Ε. , Olson, Sara H. , Bamlet, William R. , Blackford, Amanda , Goggins, Michael , Orlow, Irene , Yu, Kai , Risch, Harvey A. , Klein, Alison P. , Duggal, Priya

Cancer Epidemiology, Biomarkers & Prevention | April 23, 2019 | Volume: 28 | Issue: 7 | Pages: 1238-1245

10.1158/1055-9965.epi-18-1235 | PMID 31015203 Get It

Abstract Background: Pancreatic cancer is the fourth-leading cause of cancer death in both men and women in the United States. The currently identified common susceptibility loci account for a small fraction of estimated heritability. We sought to estimate overall heritability of pancreatic cancer and partition the heritability by variant frequencies and functional annotations. Methods: Analysis using the genome-based restricted maximum likelihood method (GREML) was conducted on Pancreatic Cancer Case-Control Consortium (PanC4) genome-wide association study (GWAS) data from 3,568 pancreatic cancer cases and 3,363 controls of European Ancestry. Results: Applying linkage disequilibrium- and minor allele frequency-stratified GREML (GREML-LDMS) method to imputed GWAS data, we estimated the overall heritability of pancreatic cancer to be 21.2% (SE = 4.8%). Across the functional groups (intronic, intergenic, coding, and regulatory variants), intronic variants account for most of the estimated heritability (12.4%). Previously identified GWAS loci explained 4.1% of the total phenotypic variation of pancreatic cancer. Mutations in hereditary pancreatic cancer susceptibility genes are present in 4% to 10% of patients with pancreatic cancer, yet our GREML-LDMS results suggested these regions explain only 0.4% of total phenotypic variance for pancreatic cancer. Conclusions: Although higher than previous studies, our estimated 21.2% overall heritability may still be downwardly biased due to the inherent limitation that the contribution of rare variants in genes with a substantive overall impact on disease are not captured when applying these commonly used methods to imputed GWAS data. Impact: Our work demonstrated the importance of rare and common variants in pancreatic cancer risk.
Teaching NeuroImages: Congenital variant misdiagnosed as cerebral venous sinus thrombosis
Dawit, Sara, Das, Devika , Acierno, Marie D, O’Carroll, Cumara B. , Das, Devika M, Das, Devika

Neurology | April 23, 2019 | Volume: 92 | Issue: 17 | Pages: No page available

10.1212/wnl.0000000000007372 | PMID 31010916 Get It

Prognostic impact of renal insufficiency (RI) at diagnosis in patients with chronic lymphocytic leukemia (CLL).
Chaffee, Kari G. , Achenbach, Sara J., Schwager, Susan M., Call, Timothy G. , Strati, Paolo , Slager, Susan L. , Leung, Nelson , Shanafelt, Tait D.

Journal of Clinical Oncology | April 19, 2019 | Volume: 33 | Issue: 15_suppl | Pages: 7084-7084

10.1200/jco.2015.33.15_suppl.7084 Get It