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704 citation(s) found for "Wu, Sharon".

BRCA1Promoter Methylation and Clinical Outcomes in Ovarian Cancer: An Individual Patient Data Meta-Analysis
Kalachand, Roshni , Stordal, Britta , Madden, Stephen F. , Chandler, Benjamin C. , Cunningham, Julie M. , Goode, Ellen L. , Ruscito, Ilary , Braicu, Elena Ioana , Ignatov, Atanas , Katsaros, Dionyssios , Lu, Karen H. , Carey, Mark , Timms, Kirsten M. , Podgórska, Agnieszka , Swisher, Elizabeth M. , Bernards, Sarah S., Ó’Riain, Ciarán, O’Toole, Sharon , O’Leary, John , Bowtell, David D.L. , Thomas, David M. , Prieske, Katharina , Joosse, Simon A. , Woelber, Linn, Chaudhry, Parvesh, Runnebaum, Ingo B. , Hennessy, Bryan T. , Cunningham, Julie, Swisher, Elizabeth M , Bowtell, David D , Joosse, Simon A , Sehouli, Jalid , Yu, Kai , Mills, Gordon B. , Kupryjańczyk, Jolanta , Rzepecka, Iwona K. , McAlpine, Jessica N. , Woelber, Linn Lena , Häfner, Norman

JNCI: Journal of the National Cancer Institute | May 11, 2020 | Volume: 112 | Issue: 12 | Pages: 1190-1203

10.1093/jnci/djaa070 | PMID 32413141 Get It

AbstractBackgroundBRCA1 methylation has been associated with homologous recombination deficiency, a biomarker of platinum sensitivity. Studies evaluating BRCA1-methylated tubal and ovarian cancer (OC) do not consistently support improved survival following platinum chemotherapy. We examine the characteristics of BRCA1-methylated OC in a meta-analysis of individual participant data.MethodsData of 2636 participants across 15 studies were analyzed. BRCA1-methylated tumors were defined according to their original study. Associations between BRCA1 methylation and clinicopathological characteristics were evaluated. The effects of methylation on overall survival (OS) and progression-free survival (PFS) were examined using mixed-effects models. All statistical tests were 2-sided.Results430 (16.3%) tumors were BRCA1-methylated. BRCA1 methylation was associated with younger age and advanced-stage, high-grade serous OC. There were no survival differences between BRCA1-methylated and non–BRCA1-methylated OC (median PFS = 20.0 vs 18.5 months, hazard ratio [HR] = 1.01, 95% CI = 0.87 to 1.16; P = .98; median OS = 46.6 vs 48.0 months, HR = 1.02, 95% CI = 0.87 to 1.18; P = .96). Where BRCA1/2 mutations were evaluated (n = 1248), BRCA1 methylation displayed no survival advantage over BRCA1/2-intact (BRCA1/2 wild-type non–BRCA1-methylated) OC. Studies used different methods to define BRCA1 methylation. Where BRCA1 methylation was determined using methylation-specific polymerase chain reaction and gel electrophoresis (n = 834), it was associated with improved survival (PFS: HR = 0.80, 95% CI = 0.66 to 0.97; P = .02; OS: HR = 0.80, 95% CI = 0.63 to 1.00; P = .05) on mixed-effects modeling.ConclusionBRCA1-methylated OC displays similar clinicopathological features to BRCA1-mutated OC but is not associated with survival. Heterogeneity within BRCA1 methylation assays influences associations. Refining these assays may better identify cases with silenced BRCA1 function and improved patient outcomes.
Returning Results in the Genomic Era: Initial Experiences of the eMERGE Network
Wiesner, Georgia L. , Appelbaum, Paul S. , Aufox, Sharon , Bland, Harris T. , Zawatsky, Carrie L. Blout , Clayton, Ellen Wright , Harr, Margaret , Henrikson, Nora B. , Hoell, Christin , Holm, Ingrid A. , Jarvik, Gail P. , Lammers, Philip E. , Larson, Eric B. , Lindor, Noralane M. , Marasà, Maddalena , Myers, Melanie F. , Peterson, Josh F. , Prows, Cynthia A. , Ralston, James D. , Rasouly, Hila Milo , Sharp, Richard R. , Smith, Maureen E. , Driest, Sara L. Van , Williams, Janet L. , Wynn, Julia , Leppig, Kathleen A. , Appelbaum, Paul , Bland, Sarah T , Clayton, Ellen Wright , Henrikson, Nora , Holm, Ingrid A , Milo Rasouly, Hila , Sharp, Richard R , Smith, Maureen E , Van Driest, Sara L , Williams, Janet L , Myers, Melanie F , Jarvik, Gail P , Peterson, Josh F , Marasa, Maddalena , Hoell, Christin , Rahm, Alanna Kulchak , Christensen, Kurt D. , Chung, Wendy K. , Green, Robert C. , Kullo, Iftikhar J. , Williams, Marc S

Journal of Personalized Medicine | April 28, 2020 | Volume: 10 | Issue: 2 | Pages: 30

10.3390/jpm10020030 | PMID 32349224 Get It

A goal of the 3rd phase of the Electronic Medical Records and Genomics (eMERGE3) Network was to examine the return of results (RoR) of actionable variants in more than 100 genes to consenting participants and their healthcare providers. Each of the 10 eMERGE sites developed plans for three essential elements of the RoR process: Disclosure to the participant, notification of the health care provider, and integration of results into the electronic health record (EHR). Procedures and protocols around these three elements were adapted as appropriate to individual site requirements and limitations. Detailed information about the RoR procedures at each site was obtained through structured telephone interviews and follow-up surveys with the clinical investigator leading or participating in the RoR process at each eMERGE3 institution. Because RoR processes at each of the 10 sites allowed for taking into account differences in population, disease focus and institutional requirements, significant heterogeneity of process was identified, including variability in the order in which patients and clinicians were notified and results were placed in the EHR. This heterogeneity in the process flow for eMERGE3 RoR reflects the “real world” of genomic medicine in which RoR procedures must be shaped by the needs of the patients and institutional environments.
Phase II Study of Ensituximab, a Novel Chimeric Monoclonal Antibody, in Adults with Unresectable, Metastatic Colorectal Cancer
Azad, Nilofer S. , Morse, Michael A. , Poplin, Elizabeth, Tan, Benjamin , Mavroukakis, Sharon , Tsang, Kwong Y., Zaki, Anjum, Torrealba, José , Arlen, Philip M., Beg, Muhammad Shaalan , Kim, Richard D. , Mahipal, Amit , Fantini, Massimo Claudio

Clinical Cancer Research | April 17, 2020 | Volume: 26 | Issue: 14 | Pages: 3557-3564

10.1158/1078-0432.ccr-20-0426 | PMID 32303539 Get It

Abstract Purpose: Patients with metastatic colorectal cancer refractory to chemotherapy have limited treatment options. Ensituximab (NEO-102) is a novel chimeric mAb targeting a variant of MUC5AC with specificity to colorectal cancer. Patients and Methods: Single-arm, phase II trial assessed the efficacy and safety of ensituximab in patients with advanced, refractory cancer who expressed MUC5AC antigen in tumor tissue. Ensituximab was administered intravenously every 2 weeks with 3 mg/kg as recommended phase II dose (RP2D). A minimum sample size of 43 patients was required on the basis of the assumption that ensituximab would improve median overall survival (OS) by 7 months using a one-sided significance level of 10% and 80% power. Written informed consent was obtained from all patients. Results: Sixty-three patients with advanced, refractory colorectal cancer were enrolled and 53 subjects were treated in phase II arm. Median age was 58 years and 46% of the patients were female. Among 57 evaluable patients, median OS was 6.8 months. No responses were observed, and stable disease was achieved in 21% of the patients. The most common treatment-related adverse events (AE) at RP2D included fatigue (38%), anemia (30%), nausea (15%), vomiting (11%), increased bilirubin (9%), constipation (8%), decreased appetite (6%), and diarrhea (6%). Serious AEs at least possibly related to ensituximab occurred in 4 patients and included anemia, nausea, increased bilirubin, and hypoxia. No patients discontinued treatment due to drug-related AEs. Conclusions: Ensituximab was well tolerated and demonstrated modest antitumor activity in patients with heavily pretreated refractory colorectal cancer.
Review: Mathematical Modeling of Prostate Cancer and Clinical Application
Phan, Tin , Crook, Sharon , Bryce, Alan H. , Kostelich, Eric J. , Kuang, Yang , Bryce, Alan H , Maley, Carlo C.

Applied Sciences | April 15, 2020 | Volume: 10 | Issue: 8 | Pages: 2721

10.3390/app10082721 Get It

We review and synthesize key findings and limitations of mathematical models for prostate cancer, both from theoretical work and data-validated approaches, especially concerning clinical applications. Our focus is on models of prostate cancer dynamics under treatment, particularly with a view toward optimizing hormone-based treatment schedules and estimating the onset of treatment resistance under various assumptions. Population models suggest that intermittent or adaptive therapy is more beneficial to delay cancer relapse as compared to the standard continuous therapy if treatment resistance comes at a competitive cost for cancer cells. Another consensus among existing work is that the standard biomarker for cancer growth, prostate-specific antigen, may not always correlate well with cancer progression. Instead, its doubling rate appears to be a better indicator of tumor growth. Much of the existing work utilizes simple ordinary differential equations due to difficulty in collecting spatial data and due to the early success of using prostate-specific antigen in mathematical modeling. However, a shift toward more complex and realistic models is taking place, which leaves many of the theoretical and mathematical questions unexplored. Furthermore, as adaptive therapy displays better potential than existing treatment protocols, an increasing number of studies incorporate this treatment into modeling efforts. Although existing modeling work has explored and yielded useful insights on the treatment of prostate cancer, the road to clinical application is still elusive. Among the pertinent issues needed to be addressed to bridge the gap from modeling work to clinical application are (1) real-time data validation and model identification, (2) sensitivity analysis and uncertainty quantification for model prediction, and (3) optimal treatment/schedule while considering drug properties, interactions, and toxicity. To address these issues, we suggest in-depth studies on various aspects of the parameters in dynamical models such as the evolution of parameters over time. We hope this review will assist future attempts at studying prostate cancer.
Breast Cancer, Version 3.2020, NCCN Clinical Practice Guidelines in Oncology
Gradishar, William J. , Anderson, Benjamin O. , Abraham, Jame , Aft, Rebecca , Allison, Kimberly H. , Blair, Sarah L. , Burstein, Harold J. , Dang, Chau T. , Goldstein, Lori J. , Isakoff, Steven J. , Lyons, Janice A., Matro, Jennifer M. , Moran, Meena S. , Patel, Sameer A. , Pierce, Lori J. , Sitapati, Amy M. , Smith, Mary Lou , Stringer-Reasor, Erica , Telli, Melinda L. , Burns, Jennifer L. , Agnese, Doreen Marie , Elias, Anthony , Giordano, Sharon H. , Goetz, Matthew P. , Krishnamurthy, Jairam , Marcom, Paul Kelly , Mayer, Ingrid A. , Mortimer, Joanne , O'Regan, Ruth M , Rugo, Hope S. , Smith, Karen L. , Soliman, Hatem Hussein , Ward, John Headley , Young, Jessica S. , Kumar, Rashmi , Telli, Melinda L

Journal of the National Comprehensive Cancer Network | April 7, 2020 | Volume: 18 | Issue: 4 | Pages: 452-478

10.6004/jnccn.2020.0016 | PMID 32259783 Get It

Several new systemic therapy options have become available for patients with metastatic breast cancer, which have led to improvements in survival. In addition to patient and clinical factors, the treatment selection primarily depends on the tumor biology (hormone-receptor status and HER2-status). The NCCN Guidelines specific to the workup and treatment of patients with recurrent/stage IV breast cancer are discussed in this article.
Abstract P4-10-03: The genomic landscape of male breast cancers using the oncomine comprehensive assay for actionable mutations
Bayani, Jane , Poncet, Coralie , Crozier, Cheryl , Hopkins, Megan, Uwimana, Aimé Lambert , Cunningham, Carrie, Benstead, Kim , Lago, Lissandra Dal, Korde, Larissa A. , Nilsson, Cecilia , Nowaczyk, Monika, Peeters, Stéphanie , Peric, Aleksandra , Porter, Peggy L. , Schröder, Carolien P., Rubio, Isabel T. , Ruddy, Kathryn J. , Weyngaert, Daniëlle Van den, Deurzen, Carolien HM van, Leeuwen-Stok, Elise van, Vermeij, Joanna , Bartlett, John M.S. , Trinh, Quang M. , Piper, Tammy , Sobol, Monika, Aebi, Stefan , Bögler, Oliver , Hilbers, Florentine , Hedenfalk, Ingrid A. , Linderholm, Barbro Kristina , Martens, John W.M. , Middleton, Lavinia P. , Murray, Melissa P. , Kelly, Catherine M. , Asperen, Christi J. van , Deurzen, Carolien HM van, Winer, Eric P. , Stein, Lincoln , Giordano, Sharon H. , Cardoso, Fátima

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: P4-10-03-P4-10-03

10.1158/1538-7445.sabcs19-p4-10-03 Get It

Abstract Introduction: Male breast cancer (BCa) is a rare disease accounting for less than 1% of all breast cancers (BC) and 1% of all cancers in males. The clinical management is largely extrapolated from female BCa. Few studies have examined the genomic landscape of male BCas, with six male BCas included in The Cancer Genome Atlas (TCGA). Familial studies of male BCas have shown genomic changes similar to female BCa, while a larger targeted sequencing study of 59 male breast cancers identified recurrent mutations affecting PIK3CA and GATA3. To date, there is still limited information regarding the genomic landscape of male BCas; particularly in the context of identifying targeted treatments. To reveal genomic changes that characterize male BCas in the context of known cancer driver genes linked to prognosis and targeted agents, we performed a targeted sequencing study on 248 male BCas from the International Male Breast Cancer Program. Methods: 248 primary M0, ER+ve, HER2-ve male BCas enrolled in the Part 1 (retrospective joint analysis) International Male Breast Cancer Program of 1483 patients diagnosed between 1990-2010 (Cardoso et al. Annals of Oncology, 2018) were processed for nucleic acid extraction from formalin-fixed paraffin embedded (FFPE) tissues. Using the Thermo Fisher Scientific Oncomine Comprehensive Assay v3 (OCAv3), a validated targeted sequencing panel currently used in the NCI-MATCH trial (NCT02465060), we evaluated mutational and copy number variations (CNVs) of genes that are prognostic or predictive to targeted therapies currently in use in the clinic or late-stage clinical trials. The OCAv3 DNA pan-cancer panel assays 115 genes for determining mutational status (48 full coding and 67 hotspot) as well as copy-number assessment in 43 genes. The OCAv3 uses Ampliseq-based technology linked to the Oncomine NGS workflow to identify actionable mutations and CNVs Results: Of the 248 samples assayed, 216 passed strict quality control parameters (87.1%). Using the Oncomine NGS workflow, actionable mutations at ≥5% variant allele frequency (VAF) were most frequently identified in PIK3CA (29.2%), BRCA2 (11.1%), NF1 (11.6%), indels in TP53 (10.6%), ATR (5.6%), ATRX (5.1%), indel BRCA2 (5.1%), TP53 point mutations (4.6%), MET (4.6%), ATM (4.6%), NOTCH2 (4.6%), CHEK1 (4.2%), FANCI (4.2%), PTEN (3.2%) with a number of additional genes identified at lower frequencies. Gene amplifications were most frequently detected in MYC (24.5%), FGFR1 (14.8%), CCND1 (12%), FGF3 (9.7%), FGF19 (9.7%), MDM2 (6.5%), CDK4 (1.4%), FGFR3, MDM4, ERBB2 (0.9% each), and FLT3, AR, MYCL, CDK6, IGF1R, FGFR4, KRAS, AKT3 and ESR1 (0.5% each). Although the results here describe the mutations and copy-number changes deemed to be actionable, further analysis of all non-actionable somatic mutations and CNVs will be presented and compared to female BCas previously assayed using the same panel. Conclusion: In this targeted sequencing study of the largest series of male BCas to our knowledge, we have revealed that PIK3CA continues to be a frequently altered gene in both male and female BCas. However, there is an enrichment of mutations in genes related to DNA repair in male BCs. Interestingly, while MYC is commonly amplified in female BCa, a higher frequency of amplified cases were seen in male BCas, in contrast to female BCas. Together with our previously generated transcriptional profiling data in this data set, we believe that both common and unique biological processes comprising male and female BCas will ultimately improve their clinical management and move towards the goal of precision medicine. This work has been funded by the Breast Cancer Research Foundation (BCRF). Citation Format: Jane Bayani, Coralie Poncet, Cheryl Crozier, Quang M Trinh, Megan Hopkins, Aime Lambert Uwimana, Tammy Piper, Carrie Cunningham, Monika Sobol, Stefan Aebi, Kim Benstead, Oliver Bogler, Lissandra Dal Lago, Florentine Hilbers, Ingrid Hedenfalk, Larissa Korde, Barbro Linderholm, John Martens, Lavinia Middleton, Melissa Murray, Catherine Kelly, Cecilia Nilsson, Monika Nowaczyk, Stephanie Peeters, Aleksandra Peric, Peggy Porter, Carolien Schröder, Isabel T Rubio, Kathryn J Ruddy, Christi van Asperen, Danielle Van Den Weyngaert, Carolien HM van Deurzen, Elise van Leeuwen-Stok, Joanna Vermeij, Eric Winer, Lincoln D Stein, Sharon H Giordano, Fatima Cardoso, John MS Bartlett. The genomic landscape of male breast cancers using the oncomine comprehensive assay for actionable mutations [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P4-10-03.
Abstract P3-08-28: Tissue sound speed is more strongly associated with breast cancer risk than mammographic percent density: A comparative case-control study
Sak, Mark, Duric, Neb , Littrup, Peter J. , Albrecht, Teri, Ali, Haythem , Brem, Rachel F. , Fan, Sharon, Gierach, Gretchen L. , Gierach, Gretchen L , Pfeiffer, Ruth M. , Sherman, Mark E. , Simon, Michael S. , Gorski, David H.

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: P3-08-28-P3-08-28

10.1158/1538-7445.sabcs19-p3-08-28 Get It

Abstract PURPOSE. Increased mammographic percent density (MPD) is a strong independent risk factor for developing breast cancer. Previous studies have shown that tissue sound speed, derived from ultrasound tomography, is a surrogate biomarker of MPD. We examined associations of sound speed and MPD with breast cancer risk in a case-control study. METHOD AND MATERIALS. We evaluated breast cancer risk associated with sound speed and MPD in a case-control study involving 59 participants with recent breast cancer diagnoses (cases, aged 30-70 years) and 150 participants with no history of breast cancer (controls), who were matched to cases on age, race, and menopausal status. The cases and controls were imaged with both ultrasound tomography (UST) and mammography. In cases, breast density was measured pre-treatment in the contralateral breast to avoid potential influences of tumor-related changes on MPD or sound speed. In controls, a randomly selected breast was imaged. The ultrasound tomography images were used to estimate the volume averaged sound speed of the breast, and the Cumulus software package was applied to mammograms to determine MPD. Odds Ratios (ORs) and 95% Confidence Intervals (CIs), adjusted for matching factors, were calculated for the relation of quartiles of MPD and sound speed with breast cancer risk. OR differences were tested using a bootstrap approach. RESULTS. MPD was associated with elevated breast cancer risk compared to controls, consistent with previous studies, although the trend did not reach statistical significance (OR per quartile=1.28, 95%CI: 0.95, 1.73; ptrend=0.10). In contrast, elevated sound speed was significantly associated with increased breast cancer risk in a dose-response fashion (OR per quartile=1.79, 95%CI: 1.30, 2.48; ptrend=0.0004). The OR-trend for sound speed was statistically significantly different from that observed for MPD (p=0.01). DISCUSSION. Our case-control study showed that increasing quartiles of whole breast sound speed were consistently and more strongly associated with increasing breast cancer risk than quartiles of MPD. These results show promise for UST’s role in breast cancer risk stratification. CONCLUSION. Elevated breast density strongly increases breast cancer risk. UST has the potential to provide a more accurate, non-ionizing method for assessing breast density and its associated breast cancer risk. Citation Format: Mark Sak, Neb Duric, Ruth Pfeiffer, Mark Sherman, Peter Littrup, Michael Simon, David Gorski, Teri Albrecht, Haythem Ali, Rachel Brem, Rachel Brem, Sharon Fan, Gretchen Gierach. Tissue sound speed is more strongly associated with breast cancer risk than mammographic percent density: A comparative case-control study [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P3-08-28.
Abstract P2-11-11: Tissue sound speed: A novel imaging biomarker for measuring tamoxifen response
Duric, N., Sak, Mark, Fan, Sharon, Albrecht, Teri, Ali, Haythem , Littrup, Peter, Brem, Rachel F. , Gierach, Gretchen L. , Gierach, Gretchen L , Duric, Neb, Sherman, Mark E. , Pfeiffer, Ruth M. , Simon, Michael, Gorski, David H.

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: P2-11-11-P2-11-11

10.1158/1538-7445.sabcs19-p2-11-11 Get It

Abstract PURPOSE. Studies have shown that a decrease in mammographic density (MD) or lowering of background parenchymal enhancement (BPE) on MRI after initiation of tamoxifen therapy predicts a favorable response in the preventive or adjuvant settings. However, performing serial mammograms poses radiation concerns, while serial MRIs carry high cost as well as risk of multiple Gadolinium doses. Previous studies have shown that tissue sound speed, derived from whole breast ultrasound tomography measurements, is a surrogate biomarker of MD. Ultrasound is ideal for performing serial measurements because it is fast and poses almost no risks. The purpose of this study was to evaluate repeated measures of the sound speed biomarker at 3, 6 and 12-months following tamoxifen initiation. METHOD AND MATERIALS. We performed a case-control comparison involving 74 participants referred by a health professional to undergo tamoxifen therapy (cases) and 150 matched participants with no history of breast cancer (controls). The cases were scanned with ultrasound tomography at baseline (i.e. before start of tamoxifen therapy), and then at 3, 6 and 12 months after tamoxifen initiation. Controls were scanned at baseline and 12 months. In the case group, sound speed was measured pre-treatment in the contralateral breast to avoid potential influences of tumor-related changes on density. In the control group, a single randomized breast was scanned. A pairwise t-test was used to assess differences in sound speed over time and between cases and controls. RESULTS. There was a steady decline in sound speed over the 12-month period for women undergoing tamoxifen therapy (mean(SD): -3.0(8.2) m/s; P=0.001). Furthermore, significant sound speed reductions were observed as early as 4-6 months after tamoxifen initiation (mean(SD): -2.1(6.8) m/s; P=0.008). In contrast, the controls demonstrated no significant change in sound speed over a 12-month period, and the difference between case-control groups was statistically significant (P=0.0009). DISCUSSION. Breast sound speed decreases rapidly after tamoxifen initiation while it remains steady for the control group. These results suggest that sound speed may be a biomarker of response to tamoxifen. Further studies are needed to assess whether this observation can predict clinical response. CONCLUSION. Ultrasound tomography may have utility in monitoring breast sound speed change as a potential biomarker of clinical tamoxifen response. Citation Format: Neb Duric, Mark Sak, Mark Sherman, Ruth Pfeiffer, Sharon Fan, Michael Simon, David Gorski, Teri Albrecht, Haythem Ali, Peter Littrup, Rachel Brem, Gretchen Gierach. Tissue sound speed: A novel imaging biomarker for measuring tamoxifen response [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P2-11-11.