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188 citation(s) found for "Wu, Connie".

Measurable residual disease does not preclude prolonged progression-free survival in CLL treated with ibrutinib
Wang, Victoria , Hanson, Curtis A. , Tschumper, Renee C. , Lesnick, Connie , Braggio, Esteban , Paietta, Elisabeth , Leis, José F., Zhang, Cong Christine, Coutré, Steven , Cashen, Amanda F. , Mato, Anthony R. , Singh, Avina K., Mullane, Michael P., Stone, Richard M. , Litzow, Mark R. , Tallman, Martin S. , Shanafelt, Tait D. , Lesnick, Connie E, Leis, Jose Francisco, Barr, Paul M , Erba, Harry Paul , Litzow, Mark R. , Kay, Neil E , Shanafelt, Tait D , Braggio, Esteban , O’Brien, Susan , Barrientos, Jacqueline C. , Barr, Paul M. , Kay, Neil E.

Blood | August 18, 2021 | Volume: 138 | Issue: 26 | Pages: 2810-2827

10.1182/blood.2020010146 | PMID 34407545 Get It

Abstract E1912 was a randomized phase 3 trial comparing indefinite ibrutinib plus 6 cycles of rituximab (IR) to 6 cycles of fludarabine, cyclophosphamide, and rituximab (FCR) in untreated younger patients with CLL. We describe measurable residual disease (MRD) levels in E1912 over time and correlate them with clinical outcome. Undetectable MRD rates (<1 CLL cell per 104 leukocytes) were 29.1%, 30.3%, 23.4%, and 8.6% at 3, 12, 24, and 36 months for FCR, and significantly lower at 7.9%, 4.2%, and 3.7% at 12, 24, and 36 months for IR, respectively. Undetectable MRD at 3, 12, 24, and 36 months was associated with longer progression-free survival (PFS) in the FCR arm, with hazard ratios (MRD detectable/MRD undetectable) of 4.29 (95% confidence interval [CI], 1.89-9.71), 3.91 (95% CI, 1.39-11.03), 14.12 (95% CI, 1.78-111.73), and not estimable (no events among those with undetectable MRD), respectively. In the IR arm, patients with detectable MRD did not have significantly worse PFS compared with those in whom MRD was undetectable; however, PFS was longer in those with MRD levels <10−1 than in those with MRD levels above this threshold. Our observations provide additional support for the use of MRD as a surrogate end point for PFS in patients receiving FCR. In patients on indefinite ibrutinib-based therapy, PFS did not differ significantly by undetectable MRD status, whereas those with MRD <10−1 tended to have longer PFS, although continuation of ibrutinib would very likely be necessary to maintain treatment efficacy.
Fimepinostat (CUDC‐907) in patients with relapsed/refractory diffuse large B cell and high‐grade B‐cell lymphoma: report of a phase 2 trial and exploratory biomarker analyses
Landsburg, Daniel J. , Ramchandren, Radhakrishnan , Batlevi, Connie Lee , Iyer, Swaminathan P. , Kelly, Kevin R. , Micallef, Ivana N. , Smith, Sonali M. , Stevens, Don A., Alvarez, Mariano J. , Shen, Yao , Bosker, Gideon, Parker, Jefferson, Soikes, Raul, Martinez, Elizabeth , Roemeling, Reinhard von, Martell, Robert E., Oki, Yasuhiro , Landsburg, Daniel J , Barta, Stefan K , Califano, Andrea , Parker, Jefferson

British Journal of Haematology | August 3, 2021 | Volume: 195 | Issue: 2 | Pages: 201-209

10.1111/bjh.17730 | PMID 34341990 Get It

SummaryFimepinostat (CUDC‐907), a first‐in‐class oral small‐molecule inhibitor of histone deacetylase and phosphatidylinositol 3‐kinase, demonstrated efficacy in a phase 1 study of patients with relapsed/refractory (R/R) diffuse large and high‐grade B‐cell lymphomas (DLBCL/HGBL), particularly those with increased MYC protein expression and/orMYCgene rearrangement/copy number gain (MYC‐altered disease). Therefore, a phase 2 study of fimepinostat was conducted in this patient population with 66 eligible patients treated. The primary end‐point of overall response (OR) rate for patients with MYC‐IHC ≥40% (n = 46) was 15%. Subsequently, exploratory pooled analyses were performed including patients treated on both the phase 1 and 2 studies based upon the presence of MYC‐altered disease as well as a biomarker identified by Virtual Inference of Protein activity by Enriched Regulon analysis (VIPER). For these patients with MYC‐altered disease (n = 63), the overall response (OR) rate was 22% with seven responding patients remaining on treatment for approximately two years or longer, and VIPER yielded a three‐protein biomarker classification with positive and negative predictive values of ≥85%. Prolonged durations of response were achieved by patients with MYC‐altered R/R DLBCL/HGBL treated with single‐agent fimepinostat. Combination therapies and/or biomarker‐based patient selection strategies may lead to higher response rates in future clinical trials.
Cost Conversations About Anticoagulation Between Patients With Atrial Fibrillation and Their Clinicians
Giblon, Rachel , Kunneman, Marlene, Lee, Alexander I., Hargraves, Ian , Sivly, Angela , Burnett, Bruce , Gorr, Haeshik, Roldan, Victor D. Torres , Spencer-Bonilla, Gabriella, Shah, Nilay D. , Brito, Juan P. , Investigators, Shared Decision Making for Atrial Fibrillation (SDM4AFib) Trial, Haffke, Alexander, Stier, Amy, Thota, Anjali, Simpson, Benjamin , Zeballos‐Palacios, Claudia , Vanmeter, Derek , Behnken, Emma , Ting, Henry H. , Anderson, Joel, Inselman, Jonathan , Muegge, Jule , Fleming, Kirsten, Olive, Marc, Vang, Miamoua, Ferrara, Michael J. , Wambua, Mike , Organick, Paige, Cabalka, Renee, Poplau, Sara , Abullarade, Carol, Keune, Shelly, Smith, Timothy D. , Barksdale, Bryan, Peters, Roma, Price, Memrie, Watson, Connie, Wolfe, Douglas A. , Haynes, Brian, Daniels, Paul R. , Jaeger, Thomas M. , Kamath, Celia C , Branda, Megan E. , Hargraves, Ian G, Sivly, Angela L, Torres Roldan, Victor D , Brito, Juan P , Kamath, Celia , Lee, Alexander I., Bellolio, Fernanda , Jackson, Elizabeth A. , Burnett, Bruce, Noseworthy, Peter A. , Montori, Víctor M. , Investigators, Shared Decision Making for Atrial Fibrillation (SDM4AFib) Trial, LeBlanc, Annie , Hess, Erik P. , Hamilton, James, Fleming, Kirsten, Linzer, Mark , Suzuki, Takeki , Harvey, Lisa Anne , Stephens, Shannon W. , Hickey, Theresa, Guyatt, Gordon , Tomlinson, George , Gersh, Bernard J. , McBane, Robert D.

JAMA Network Open | July 13, 2021 | Volume: 4 | Issue: 7 | Pages: e2116009

10.1001/jamanetworkopen.2021.16009 | PMID 34255051 Get It

MO769COMPARISON OF HEMODIALYSIS CONNECTORS CAPS VS ANTIMICROIAL BARRIER CAPS IN CENTERAL LINE-ASSOICATED BLOOSTREAM INFECTION RATES FOR HEMODIALYSIS PATIENTS
Hemeyer, Connie J., Moreland, Marshall, Olson, Elsa , Fitzpatrick, Peter M., Olson, Elsa, Hickson, LaTonya J.

Nephrology Dialysis Transplantation | May 30, 2021 | Volume: 36 | Issue: Supplement_1 | Pages: No page available

10.1093/ndt/gfab103.007 Get It

Abstract Background and Aims Central line-associated bloodstream infections (CLABSI) lead to increased morbidity and mortality in hemodialysis-dependent patients and are costly to treat. Devices such as hemodialysis connector caps (Tego) and antimicrobial barrier caps (ClearGuardHD) represent promising interventions to reduce CLABSIs. The aim of this study was to assess the efficacy of these devices in reducing CLABSIs in hemodialysis patients who use tunneled dialysis catheters at outpatient dialysis units in a healthcare system. Method In a retrospective review of a quality improvement project, we compared cumulative 6-month CLABSI infection rates before and after transition from Tego connectors to ClearGuardHD caps. CLABSI events, reported to National Healthcare Safety Network (NHSN), were expressed as CLABSI events per 100 patient-months. All adult patients (age >18 years) receiving hemodialysis via a tunneled central catheter were included in the study from February 2018-August 2020. The study cohort was comprised of 13 outpatient dialysis units in a healthcare system with locations throughout the Northern Midwest and Southeastern United States. The date of change from Tego to ClearGuardHD was phased throughout the different units over the study period with events recorded 6 months pre- and post-intervention. Patients receiving home dialysis therapies were excluded from the study. Results The cumulative 6-month CLABSI event rate decreased by 75.7%; Tego (0.465/100 patient-months) vs. ClearGuardHD caps (0.113/100 patient-months). A total of 17 CLABSI occurrences were reported within 3,654 patient-months with Tego use. However, only 4 CLABSI occurrences were reported within 3,527 patient-months during ClearGuardHD use. Conclusion ClearGuardHD caps reduced the rate of CLABSI among hemodialysis patients and are superior to Tego connectors. These findings support prior studies. Implementation of ClearGuardHD caps may help eliminate CLABSI-associated morbidity among individuals requiring maintenance hemodialysis therapy.
Genomewide Association Studies of LRRK2 Modifiers of Parkinson's Disease
Lai, Dongbing , Fontanillas, Pierre , Aasly, Jan , Beecham, Gary W. , Berg, Daniela , Bressman, Susan , Brockmann, Kathrin , Clark, Lorraine N. , Cookson, Mark , Das, Sayantan , Farrer, Matthew J. , Trinh, Joanne , Gasser, Thomas , Gustavsson, Emil K. , Klein, Christine , Langston, J. William, Lynch, Timothy , Marder, Karen, Martin, Eden R. , Mejia‐Santana, Helen, Molho, Eric , Nuytemans, Karen , Ozelius, Laurie J. , Raymond, Deborah , Ross, Owen A. , Samii, Ali, Saunders‐Pullman, Rachel , Schüle, Birgitt , Tolosa, Eduardo , Tomkins, James E. , Vilas, Dolores , Trojanowski, John Q. , Uitti, Ryan J. , Zabetian, Cyrus P. , Urtreger, Avi Orr, Cannon, P. F. , Fiske, Brian , Brockman, Kathrin , Klein, Christine , Ross, Owen A , Uitti, Ryan, Visanji, Naomi P , Zabetian, Cyrus P , Mirelman, Anat , Alipanahi, Babak , Schwantes-An, Tae-Hwi Linus , Alcalay, Roy N. , Brice, Alexis , Deerlin, Vivianna M. Van , Follett, Jordan , Goldwurm, Stefano , Lang, Anthony E. , Latourelle, Jeanne C. , Marras, Connie , McLean, Cory Y. , Myers, Richard H. , Payami, Haydeh , Rogaeva, Ekaterina A. , Rogers, Michael P. , Schulte, Claudia , Scott, William K. , Tanner, Caroline M. , Vance, Jeffery M. , Visanji, Naomi P. , Wszołek, Zbigniew K. , Giladi, Nir , Foroud, Tatiana

Annals of Neurology | May 3, 2021 | Volume: 90 | Issue: 1 | Pages: 76-88

10.1002/ana.26094 | PMID 33938021 Get It

Objective The aim of this study was to search for genes/variants that modify the effect of LRRK2 mutations in terms of penetrance and age‐at‐onset of Parkinson's disease. Methods We performed the first genomewide association study of penetrance and age‐at‐onset of Parkinson's disease in LRRK2 mutation carriers (776 cases and 1,103 non‐cases at their last evaluation). Cox proportional hazard models and linear mixed models were used to identify modifiers of penetrance and age‐at‐onset of LRRK2 mutations, respectively. We also investigated whether a polygenic risk score derived from a published genomewide association study of Parkinson's disease was able to explain variability in penetrance and age‐at‐onset in LRRK2 mutation carriers. Results A variant located in the intronic region of CORO1C on chromosome 12 (rs77395454; p value = 2.5E‐08, beta = 1.27, SE = 0.23, risk allele: C) met genomewide significance for the penetrance model. Co‐immunoprecipitation analyses of LRRK2 and CORO1C supported an interaction between these 2 proteins. A region on chromosome 3, within a previously reported linkage peak for Parkinson's disease susceptibility, showed suggestive associations in both models (penetrance top variant: p value = 1.1E‐07; age‐at‐onset top variant: p value = 9.3E‐07). A polygenic risk score derived from publicly available Parkinson's disease summary statistics was a significant predictor of penetrance, but not of age‐at‐onset. Interpretation This study suggests that variants within or near CORO1C may modify the penetrance of LRRK2 mutations. In addition, common Parkinson's disease associated variants collectively increase the penetrance of LRRK2 mutations. ANN NEUROL 2021;90:82–94
The CLL International Prognostic Index predicts outcomes in monoclonal B-cell lymphocytosis and Rai 0 CLL
Parikh, Sameer A. , Rabe, Kari G. , Kay, Neil E. , Call, Timothy G. , Ding, Wei , Leis, José F., Muchtar, Eli , Wang, Yucai , Koehler, Amber B. , Schwager, Susan M., Lesnick, Connie , Kleinstern, Geffen , Dyke, Daniel Van, Hanson, Curtis A. , Braggio, Esteban , Shanafelt, Tait D. , Muchtar, E , Wang, Yucai , Koehler, Amber B , Van Dyke, Daniel, Braggio, Esteban , Chaffee, Kari G. , Kay, Neil E , Ding, Wei , Parikh, Sameer A , Shanafelt, Tait D , Kenderian, Saad S. , Dyke, Daniel L. Van , Slager, Susan L.

Blood | April 20, 2021 | Volume: 138 | Issue: 2 | Pages: 149-159

10.1182/blood.2020009813 | PMID 33876228 Get It

Abstract The utility of the chronic lymphocytic leukemia-international prognostic index (CLL-IPI) in predicting outcomes of individuals with Rai 0 stage CLL and monoclonal B-cell lymphocytosis (MBL) is unclear. We identified 969 individuals (415 MBL and 554 Rai 0 CLL; median age, 64 years; 65% men) seen at Mayo Clinic between 1 January 2001 and 1 October 2018, and ascertained time to first therapy (TTFT) and overall survival (OS). After a median follow up of 7 years, the risk of disease progression needing therapy was 2.9%/y for MBL (median, not reached) and 5%/y for Rai 0 CLL (median, 10.4 years). Among patients with low, intermediate, and high/very high-risk CLL-IPI risk groups, the estimated 5-year risk of TTFT was 13.5%, 30%, and 58%, respectively, P< .0001 (c-statistic = 0.69); and the estimated 5-year OS was 96.3%, 91.5%, and 76%, respectively, P< .0001 (c-statistic = 0.65). In a multivariable analysis of absolute B-cell count with individual factors of the CLL-IPI, the absolute B-cell count was associated with shorter TTFT (hazard ratio [HR] for each 10 × 109/L increase: 1.31; P< .0001) and shorter OS (HR: 1.1; P = .02). The OS of the entire cohort was similar to that of the age- and sex-matched general population of Minnesota (P = .17), although Rai 0 CLL patients with high and very high-risk CLL-IPI score had significantly shorter OS (P= .01 and P= .0001, respectively). The results of this study demonstrate the ability of CLL-IPI to predict time from diagnosis to first treatment (an end point not affected by therapy) in a large cohort of patients whose only manifestation of disease is a circulating clonal lymphocyte population.
Polygenic Risk Score and Risk of Chronic Lymphocytic Leukemia, Monoclonal B-Cell Lymphocytosis (MBL), and MBL Subtypes
Kleinstern, Geffen , Weinberg, J. Brice , Robinson, Dennis P. , Vachon, Celine M. , Lesnick, Connie , Call, Timothy G. , Brander, Danielle M. , Hanson, Curtis A. , Furman, Richard R. , Shanafelt, Tait, Parikh, Sameer A. , Braggio, Esteban , Norman, Aaron D. , Rabe, Kari G. , Vachon, Celine M. , Olson, Janet E. , Cerhan, James R. , Kay, Neil E. , Slager, Susan L.

Blood | February 8, 2021 | Volume: 136 | Issue: Supplement 1 | Pages: 35-36

10.1182/blood-2020-136548 Get It

Background MBL is a precursor to chronic lymphocytic leukemia (CLL) and is subclassified into low-count (LC) MBL (absolute B-cell count<0.5x109/L) and high-count (HC) MBL (absolute B-cell count between 0.5 and 5x109/L). We previously reported that a polygenic risk score (PRS) based on a weighted average of 41 CLL-susceptibility variants was associated with risk of both MBL and CLL among a cohort of individuals from CLL families. Here we evaluate this PRS in an independent cohort of MBL and CLL individuals of European ancestry (EA), all of whom were ascertained agnostic to CLL family-history status. We also evaluate the PRS by MBL subtype (LC/HC), and in African American (AA) CLL cases and controls. Methods We genotyped 535 EA MBLs (139 HC-MBL, 396 LC-MBLs), 735 CLLs (640 EA, 95 AA), and 2,866 controls (2,631 EA, 235 AA) from the Mayo Clinic CLL Resource, Duke University, and Weill Cornell Medical College. We computed the CLL-PRS for each individual and used logistic regression to estimate odds ratios (OR) and 95% confidence intervals, adjusting for age and sex. To assess discriminatory accuracy, we computed the c-statistic. Among EA individuals, we calculated a trend test among LC-MBL, HC-MBL, and CLL risk using the P-value for heterogeneity from a polytomous logistic regression analysis. Moreover, we plotted a boxplot for the PRS among controls, LC-MBL, HC-MBL, and EA CLL, as well as for AA CLL cases and controls, and tested the statistical difference using the Kruskal Wallis test and Mann-Whitney test, respectively. Results We found a significant association of PRS with overall MBL risk (OR=1.87, P=1.1x10-28) with good discrimination (c-statistic=0.72). Significant associations were also found for LC-MBL (OR=1.75, P=7.5x10-19, c-statistic=0.72), HC-MBL (OR=2.22, P=1.4x10-17, c-statistic=0.74), and CLL of EA (OR=2.60, P=1.2x10-62, c-statistic=0.78), with a significant difference among these cohorts (Figure 1.A) and a significant positive trend across these cohorts (Pheterogeneity=8.4x10-6). Although we observed a 33% increased risk of CLL in AA (c-statistic=0.57), the PRS was borderline significant (P=0.07, Figure 1.B). Conclusion The CLL-PRS is a strong prediction-tool for risk of CLL and MBL among individuals of EA. Future studies are needed to improve the PRS for AAs including performing GWAS of AA in order to identify CLL-susceptibility SNPs that are more representative within known CLL loci and to discover novel CLL loci that are unique for AAs. Disclosures Parikh: GlaxoSmithKline: Honoraria; Janssen: Honoraria, Research Funding; Ascentage Pharma: Research Funding; AbbVie: Honoraria, Research Funding; Merck: Research Funding; TG Therapeutics: Research Funding; Genentech: Honoraria; Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding; AstraZeneca: Honoraria, Research Funding; Verastem Oncology: Honoraria. Braggio:DASA: Consultancy; Bayer: Other: Stock Owner; Acerta Pharma: Research Funding. Brander:Genentech: Consultancy, Honoraria, Other, Research Funding; Juno/Celgene/BMS: Other, Research Funding; MEI Pharma: Other, Research Funding; Ascentage: Other, Research Funding; ArQule: Consultancy, Other, Research Funding; NCCN: Other; Teva: Consultancy, Honoraria; Tolero: Research Funding; AstraZeneca: Consultancy, Honoraria, Other, Research Funding; Pharmacyclics LLC, an AbbVie Company: Consultancy, Honoraria, Other, Research Funding; Pfizer: Consultancy, Other; TG Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Novartis: Consultancy, Other; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Tolero: Research Funding; Teva: Consultancy, Honoraria; DTRM: Other, Research Funding; BeiGene: Other, Research Funding; Novartis: Consultancy, Other; NCCN: Other; Verastem: Consultancy, Honoraria, Other, Research Funding. Cerhan:NanoString: Research Funding; BMS/Celgene: Research Funding. Kay:Astra Zeneca: Membership on an entity's Board of Directors or advisory committees; Agios Pharma: Membership on an entity's Board of Directors or advisory committees; Sunesis: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta Pharma: Research Funding; Juno Theraputics: Membership on an entity's Board of Directors or advisory committees; Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Rigel: Membership on an entity's Board of Directors or advisory committees; Cytomx: Membership on an entity's Board of Directors or advisory committees; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Meyer Squib: Membership on an entity's Board of Directors or advisory committees, Research Funding; MEI Pharma: Research Funding; Abbvie: Research Funding; Oncotracker: Membership on an entity's Board of Directors or advisory committees; Dava Oncology: Membership on an entity's Board of Directors or advisory committees. Furman:Acerta: Consultancy; AstraZeneca: Consultancy, Research Funding; Beigene: Consultancy; Abbvie: Consultancy; Pharmacyclics: Consultancy; Sunesis: Consultancy; TG Therapeutics: Consultancy, Research Funding; Verastem: Consultancy; Incyte: Consultancy; Genentech: Consultancy; Janssen: Consultancy, Speakers Bureau; Loxo Oncology: Consultancy; Oncotarget: Consultancy. Shanafelt:Mayo Clinic: Patents & Royalties: and other intellectual property; Genentech, Pharmacyclics LLC, an AbbVie Company, AbbVie, GlaxoSmithKline, and Merck: Research Funding.
Infection and Risk of Parkinson’s Disease
Noyce, Alastair J. , Byrne, Matthew , Savica, Rodolfo , Noyce, Alastair J , Smeyne, Richard Jay , Marras, Connie

Journal of Parkinson's Disease | December 22, 2020 | Volume: 11 | Issue: 1 | Pages: 31-43

10.3233/jpd-202279 | PMID 33361610 Get It

Parkinson’s disease (PD) is thought to be caused by a combination of genetic and environmental factors. Bacterial or viral infection has been proposed as a potential risk factor, and there is supporting although not entirely consistent epidemiologic and basic science evidence to support its role. Encephalitis caused by influenza has included parkinsonian features. Epidemiological evidence is most compelling for an association between PD and hepatitis C virus. Infection with Helicobacter pylori may be associated not only with PD risk but also response to levodopa. Rapidly evolving knowledge regarding the role of the microbiome also suggests a role of resident bacteria in PD risk. Biological plausibility for the role for infectious agents is supported by the known neurotropic effects of specific viruses, particular vulnerability of the substantia nigra and even the promotion of aggregation of alpha-synuclein. A common feature of implicated viruses appears to be production of high levels of cytokines and chemokines that can cross the blood-brain barrier leading to microglial activation and inflammation and ultimately neuronal cell death. Based on multiple avenues of evidence it appears likely that specific bacterial and particularly viral infections may increase vulnerability to PD. The implications of this for PD prevention requires attention and may be most relevant once preventive treatments for at-risk populations are developed.
American Society of Clinical Oncology Road to Recovery Report: Learning From the COVID-19 Experience to Improve Clinical Research and Cancer Care
Dillmon, Melissa S., Levit, Laura A. , Moushey, E. Allyn, Alva, Ajjai , Blau, Sibel , Dickson, Natalie R. , Gönen, Mithat , González, Maria Magdalena, Hensold, Jack O. , Hinyard, Leslie , King, Tari A. , Lindsey, Stacie , Magnuson, Allison , Marron, Jonathan M. , Mcaneny, Barbara , McDonnell, Theresa Margaret, Nasso, S, Nowakowski, Grzegorz S. , Oettel, Kurt R., Patel, Manali I. , Patt, Debra A. , Perlmutter, Jane , Pickard, Todd , Rodriguez, Gladys , Rosenberg, Abby R. , Russo, Barry, Szczepanek, Connie M. , Smith, Cardinale B. , Teplinsky, Eleonora , Thota, Ramya , Zoň, Robin , Bourbeau, Brian , Foster, Shelagh E., Grubbs, Stephen, Hagerty, Karen L., Hurley, Patricia A. , Kamin, Deborah Y., Phillips, Jonathan , Schilsky, Richard L. , Burris, Howard A. , Hurley, Patricia , Rosenberg, Abby R , Pennell, Nathan A , Cannon, Timothy Lewis , Diehn, Maximilian , Mileham, Kathryn Finch , Srivastava, Piyush, Traina, Tiffany A , Bruinooge, Suanna S. , Schenkel, Caroline

Journal of Clinical Oncology | December 8, 2020 | Volume: 39 | Issue: 2 | Pages: 155-169

10.1200/jco.20.02953 | PMID 33290128 Get It

This report presents the American Society of Clinical Oncology’s (ASCO’s) evaluation of the adaptations in care delivery, research operations, and regulatory oversight made in response to the coronavirus pandemic and presents recommendations for moving forward as the pandemic recedes. ASCO organized its recommendations for clinical research around five goals to ensure lessons learned from the COVID-19 experience are used to craft a more equitable, accessible, and efficient clinical research system that protects patient safety, ensures scientific integrity, and maintains data quality. The specific goals are: (1) ensure that clinical research is accessible, affordable, and equitable; (2) design more pragmatic and efficient clinical trials; (3) minimize administrative and regulatory burdens on research sites; (4) recruit, retain, and support a well-trained clinical research workforce; and (5) promote appropriate oversight and review of clinical trial conduct and results. Similarly, ASCO also organized its recommendations regarding cancer care delivery around five goals: (1) promote and protect equitable access to high-quality cancer care; (2) support safe delivery of high-quality cancer care; (3) advance policies to ensure oncology providers have sufficient resources to provide high-quality patient care; (4) recognize and address threats to clinician, provider, and patient well-being; and (5) improve patient access to high-quality cancer care via telemedicine. ASCO will work at all levels to advance the recommendations made in this report.
Preneoplastic Alterations Define CLL DNA Methylome and Persist through Disease Progression and Therapy
Biran, Anat, Purroy, Noelia, Lemvigh, Camilla K. , Clement, Kendell , Gruber, Michaela , Rassenti, Laura Z., Mohammad, Arman W., Lesnick, Connie , Shanafelt, Tait D. , Fernandes, Stacey M. , Brown, Jennifer R. , Wang, Lili , Li, Shuqiang , Livak, Kenneth J. , Klages, Sven , Timmermann, Bernd, Gnirke, Andreas , Wu, Catherine J. , Meissner, Alexander , Clement, Kendell , Gruber, Michaela , Kay, Neil E , Neuberg, Donna S , Campo, Elías , Wu, Catherine J , Shanafelt, Tait D , Kretzmer, Helene , Gu, Hongcang , Slager, Susan L. , Braggio, Esteban , Kay, Neil E. , Neuberg, Donna , Kipps, Thomas J. , Campo, Elı́as

Blood Cancer Discovery | December 3, 2020 | Volume: 2 | Issue: 1 | Pages: 54-69

10.1158/2643-3230.bcd-19-0058 | PMID 33604581 Get It

Abstract Most human cancers converge to a deregulated methylome with reduced global levels and elevated methylation at select CpG islands. To investigate the emergence and dynamics of the cancer methylome, we characterized genome-wide DNA methylation in preneoplastic monoclonal B-cell lymphocytosis (MBL) and chronic lymphocytic leukemia (CLL), including serial samples collected across disease course. We detected the aberrant tumor-associated methylation landscape at CLL diagnosis and found no significant differentially methylated regions in the high-count MBL-to-CLL transition. Patient methylomes showed remarkable stability with natural disease and posttherapy progression. Single CLL cells were consistently aberrantly methylated, indicating a homogeneous transition to the altered epigenetic state and a distinct expression profile together with MBL cells compared with normal B cells. Our longitudinal analysis reveals the cancer methylome to emerge early, which may provide a platform for subsequent genetically driven growth dynamics, and, together with its persistent presence, suggests a central role in disease onset. Significance: DNA methylation data from a large cohort of patients with MBL and CLL show that epigenetic transformation emerges early and persists throughout disease stages with limited subsequent changes. Our results indicate an early role for this aberrant landscape in the normal-to-preneoplastic transition that may reflect a pan-cancer mechanism. See related commentary by Rossi, p. 6. This article is highlighted in the In This Issue feature, p. 1