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134 citation(s) found for "Isaacs, C".

The HOXB13 G84E Mutation Is Associated with an Increased Risk for Prostate Cancer and Other Malignancies
Beebe‐Dimmer, Jennifer , Hathcock, Matthew , Yee, Cecilia, Okoth, Linda A. , Ewing, Charles M., Isaacs, William B. , Cooney, Kathleen A. , Thibodeau, Stephen N.

Cancer Epidemiology, Biomarkers & Prevention | June 24, 2015 | Volume: 24 | Issue: 9 | Pages: 1366-1372

10.1158/1055-9965.epi-15-0247 | PMID 26108461 Get It

Abstract Background: A rare nonconservative substitution (G84E) in the HOXB13 gene has been shown to be associated with risk of prostate cancer. DNA samples from male patients included in the Mayo Clinic Biobank (MCB) were genotyped to determine the frequency of the G84E mutation and its association with various cancers. Methods: Subjects were genotyped using a custom TaqMan (Applied Biosystems) assay for G84E (rs138213197). In addition to donating a blood specimen, all MCB participants completed a baseline questionnaire to collect information on medical history and family history of cancer. Results: Forty-nine of 9,012 male patients were carriers of G84E (0.5%). Thirty-one percent (n = 2,595) of participants had been diagnosed with cancer, including 51.1% of G84E carriers compared with just 30.6% of noncarriers (P = 0.004). G84E was most frequently observed among men with prostate cancer compared with men without cancer (P < 0.0001). However, the mutation was also more commonly observed in men with bladder cancer (P = 0.06) and leukemia (P = 0.01). G84E carriers were more likely to have a positive family history of prostate cancer in a first-degree relative compared to noncarriers (36.2% vs. 16.0%, P = 0.0003). Conclusions: Our study confirms the association between the HOXB13 G84E variant and prostate cancer and suggests a novel association between G84E and leukemia and a suggestive association with bladder cancer. Future investigation is warranted to confirm these associations in order to improve our understanding of the role of germline HOXB13 mutations in human cancer. Impact: The associations between HOXB13 and prostate, leukemia, and bladder suggest that this gene is important in carcinogenesis. Cancer Epidemiol Biomarkers Prev; 24(9); 1366–72. ©2015 AACR.
Abstract P3-06-29: MammaPrint High1/High2 risk class as a biomarker of response to neratinib plus standard neoadjuvant therapy for breast cancer in the I-SPY 2 TRIAL
Sanil, Ashish, Chien, Jo, Nanda, Rita , Chiu, Steven, Albain, Kathy S. , Kaplan, Hank, Moulder, Stacey, Viscusi, Rebecca K., Northfelt, Donald W. , Edmiston, Kirsten K., Styblo, Toncred M., Haley, Barbara , Flynn, Susan, Buxton, Meredith , Hylton, Nola, Paoloni, Melissa, Berry, Don, Liu, Minetta C. , Park, John W., Veer, Laura van ‘t , Yau, Christina , Wolf, Denise M. , Wallace, Anne M. , Boughey, Judy C. , Yee, Douglas , Tripathy, Debu , DeMichele, Angela , Isaacs, Claudine , Elias, Anthony , Swigart, Lamorna Brown , Hirst, Gillian L. , Symmans, W. Fraser , Esserman, Laura J. , Berry, Donald A. , Veer, Laura J. van’t

Cancer Research | May 4, 2015 | Volume: 75 | Issue: 9_Supplement | Pages: P3-06-29-P3-06-29

10.1158/1538-7445.sabcs14-p3-06-29 Get It

Abstract Background: Further stratification of the 70-gene MammaPrintTM signature into ‘high’ and ‘ultra-high’ risk groups may help predict chemo-sensitivity. In I-SPY 2, patients were classified as MammaPrint High1 (MP1) or MammaPrint (ultra) High2 (MP2), with MP2 defined as MP_score <-0.154. MP1/MP2 classification was added to HR and HER2 to define the cancer subtypes used in the I-SPY 2 adaptive randomization engine. Neratinib (N), one of the experimental agents evaluated in I-SPY 2, graduated in the HR-HER2+ signature. All patients received at least standard chemotherapy (paclitaxel followed by doxorubicin/cyclophosphamide; T->AC). HER2- patients were randomized to receive N+T- >AC vs. T->AC. For HER2+ patients, neratinib was administered in place of trastuzumab (N+T->AC vs. H+T->AC). Here, we assess the performance of MP1/MP2 class as a specific biomarker of neratinib response. Methods: 115 patients in the neratinib arm and 76 concurrently randomized controls had Agilent 44K microarrays and pCR data available for analysis. We assess association between MP1/MP2 and response in the neratinib and control arms alone using Fisher’s exact test, and relative performance between arms (biomarker x treatment interaction, likelihood ratio p < 0.05) using a logistic model. This analysis is also performed adjusting for HR status as a covariate, and in receptor subsets. Our study is exploratory with no claims for generalizability of the data. Statistical calculations are descriptive (e.g. p-values are measures of distance with no inferential content). Our analyses do not adjust for multiplicities of other biomarkers in the trial but outside this study. Results: There are 133 MP1 patients (neratinib: 74, Control: 59) and 58 MP2 patients (neratinib: 41, Control: 17), 84% (49) of which are Her2-. The distribution of pCR rates among MP1/MP2 dichotomized groups are summarized in Table 1. Neratinib (n=115)Control (n=76)MP1 (n=74)MP2 (n=41)MP1 (n=59)MP2 (n=17)HER2- (n=105)0 / 1715 / 337 / 395 / 16HER2+ (n=86)22 / 574 / 85 / 200 / 1 MP2, one of the 10 eligible signatures, did not meet the graduation threshold; and MP1/MP2 did not show a significant biomarker x treatment interaction (OR in neratinib relative to control arm = 1.25). The MP1/MP2 x treatment interaction remains non-significant after adjustment for HR and HER2 status (p=0.54). In HER2- patients receiving neratinib, 45% (15/33) of MP2 patients achieved a pCR, compared to 0% (0/17) of MP1 patients. In the HER2- controls, there is a 31% pCR rate in MP2 (5/16) vs. 18% in MP1 (7/39) patients (OR=2.14). This difference in performance between treatment arms appears significant (p=0.041). 90% of HER2+ patients are MP1, thus MP1/MP2 status x treatment interaction within the HER2+ subtype cannot be evaluated. Conclusion: Within the I-SPY 2 population as a whole, MP1/MP2 stratification does not appear to be a specific biomarker of response to neratinib relative to the control arm. The number of HER2- patients is small and precludes any definitive conclusion, but these data motivate further investigation of the biological mechanisms distinguishing MP1 from MP2 to better understand chemotherapy and/or neratanib responsiveness. Citation Format: Christina Yau, Denise M Wolf, Ashish Sanil, Jo Chien, Anne Wallace, Judy Boughey, Doug Yee, Debu Tripathy, Angela DeMichele, Rita Nanda, Steven Chiu, Claudine Isaacs, Kathy Albain, Hank Kaplan, Stacey Moulder, Rebecca Viscusi, Donald Northfelt, Kirsten Edmiston, Anthony Elias, Toncred Styblo, Barbara Haley, Lamorna Brown-Swigart, Susan Flynn, Gillian L Hirst, Meredith Buxton, Nola Hylton, Melissa Paoloni, W Fraser Symmans, Laura Esserman, Don Berry, Minetta C Liu, John W Park, Laura van 't Veer. MammaPrint High1/High2 risk class as a biomarker of response to neratinib plus standard neoadjuvant therapy for breast cancer in the I-SPY 2 TRIAL [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P3-06-29.
Abstract P3-06-25: MammaPrint High1/High2 risk class as a biomarker of response to veliparib/carboplatin plus standard neoadjuvant therapy for breast cancer in the I-SPY 2 TRIAL
Sanil, Ashish, Chien, Jo, Kaplan, Hank, Albain, Kathy S. , Viscuzi, Rebecca, Moulder, Stacey, Chui, Steven, Styblo, Toncred M., Edmiston, Kirsten K., Northfelt, Donald W. , Haley, Barbara , Flynn, Susan, Buxton, Meredith , Hylton, Nola, Paoloni, Melissa, Symmans, Fraser, Berry, Don, Veer, Laura van ‘t , Wolf, Denise M. , Yau, Christina , Wallace, Anne M. , DeMichele, Angela , Yee, Douglas , Isaacs, Claudine , Boughey, Judy C. , Khan, Qamar J. , Elias, Anthony , Tripathy, Debu , Swigart, Lamorna Brown , Hirst, Gillian L. , Esserman, Laura J. , Berry, Donald A. , Rugo, Hope S. , Olopade, Olufunmilayo I. , Veer, Laura J. van’t

Cancer Research | May 4, 2015 | Volume: 75 | Issue: 9_Supplement | Pages: P3-06-25-P3-06-25

10.1158/1538-7445.sabcs14-p3-06-25 Get It

Abstract Background: Further stratification of the 70-gene MammaPrintTM signature into ‘high’ and ‘ultra-high’ risk groups may help predict chemo-sensitivity. In I-SPY 2, patients were classified as MammaPrint High1 (MP1) or MammaPrint (ultra) High2 (MP2), with MP2 defined as MP_score <-0.154. MP1/MP2 classification was added to HR and Her2 to define the cancer subtypes used in the I-SPY 2 adaptive randomization engine. HER2- patients were randomized to receive standard chemotherapy or the oral PARP inhibitor veliparib in combination with carboplatin (V/C) and chemotherapy. V/C graduated in the triple-negative (TN) signature, where MP2 was not an eligible signature for graduation. Here, we assess the performance of MP1/MP2 class as a specific biomarker of response to V/C. Methods:115 HER2- patients (V/C: 71 and concurrent controls: 44) were considered in this analysis. We assess association between MP1/MP2 and response in the V/C and control arms alone using Fisher’s exact test, and relative performance between arms (biomarker x treatment interaction, likelihood ratio p < 0.05) using a logistic model. This analysis is also performed adjusting for HR status as a covariate. To assess MP1/MP2 in the context of the graduating signature, we added the MP2 patients to the graduating TN subset and evaluated the treatment effect in this ‘biomarker-positive’ group. Our study is exploratory with no claims for generalizability of the data. Statistical calculations are descriptive (e.g. p-values are measures of distance with no inferential content). This analysis does not adjust for multiplicities of other biomarkers in the trial but outside this study. Results: In the V/C arm vs. concurrent controls, there were 66 MP1 (V/C: 32, Control: 34) and 49 MP2 patients (V/C: 39, Control: 10), 78% of which are TN. The distribution of pCR rates among MP1/MP2 dichotomized groups are summarized in Table 1. V/C (n=71)Control (n=44)MP1 (n=32)MP2 (n=39)MP1 (n=34)MP2 (n=10)TN (n=59)3 / 819 / 303 / 132 / 8HR+HER2- (n=56)1 / 244 / 94 / 210 / 2 The OR between MP1/MP2 risk groups for predicting pCR is 9.71 in the V/C arm (p=6.63E-05), in comparison to an OR of 0.97 in the control arm (p=1). There is a significant biomarker x treatment interaction (p=0.023), which remains upon adjusting for HR status (p= 0.028). Based on the I-SPY 2 Bayesian model, a Phase III trial with 300 MP2 patients has a 95% predictive probability of success. When the MP2 patients are added to the graduating TN subset, the OR associated with V/C is 4.36, which is comparable to that of the TN signature (OR: 4.29), while increasing the prevalence of biomarker-positive patients by ∼10%. Conclusion: In our exploratory analysis, MP2 suggests higher sensitivity to V/C combination therapy relative to controls. This observation has prompted an investigation into the biological mechanisms distinguishing the MP1/MP2 subtype that may account for this specificity. Citation Format: Denise M Wolf, Christina Yau, Ashish Sanil, Jo Chien, Anne Wallace, Angela DeMichele, Hank Kaplan, Doug Yee, Claudine Isaacs, Kathy Albain, Rebecca Viscuzi, Judy Boughey, Stacey Moulder, Steven Chui, Qamar Khan, Toncred Styblo, Kirsten Edmiston, Donald Northfelt, Anthony Elias, Barbara Haley, Debu Tripathy, Lamorna Brown-Swigart, Susan Flynn, Gillian Hirst, Meredith Buxton, Nola Hylton, Melissa Paoloni, Fraser Symmans, Laura Esserman, Don Berry, Hope Rugo, Olufunmilayo I. Olopade, Laura van 't Veer. MammaPrint High1/High2 risk class as a biomarker of response to veliparib/carboplatin plus standard neoadjuvant therapy for breast cancer in the I-SPY 2 TRIAL [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P3-06-25.
Association of Type and Location ofBRCA1andBRCA2Mutations With Risk of Breast and Ovarian Cancer
Rebbeck, Timothy R., Sinilnikova, Olga M., Healey, Sue, McGuffog, Lesley, Mazoyer, Sylvie , Chenevix‐Trench, Georgia , Easton, Douglas F. , Antoniou, Antonis C. , Nathanson, Katherine L. , Laitman, Yael , Kushnir, Anya, Berger, Raanan , Zidan, Jamal, Friedman, Eitan , Ehrencrona, Hans , Stenmark‐Askmalm, Marie , Einbeigi, Zakaria , Loman, Niklas, Harbst, Katja , Rantala, Johanna, Melin, Beatrice , Olopade, Olufunmilayo I. , Seldon, Joyce, Ganz, Patricia A. , Chan, Salina, Odunsi, Kunle , Gayther, Simon A. , Lu, Karen H., Mitchell, Gillian, Walsh, Christine , Lester, Jenny, Ross, Eric A. , Daly, Mary B., Whittemore, Alice S. , John, Esther M. , Miron, Alexander, Terry, Mary Beth , Goldgar, David E., Tihomirova, Laima, Dorfling, Cecilia M., Rensburg, Elizabeth J. van , Ding, Yuan Chun , Ejlertsen, Bent , Gerdes, Anne‐Marie , Osório, Ana , Benı́tez, Javier , Godino, Javier, Tejada, María‐Isabel , Durán, M. , Weitzel, Jeffrey N. , Bobolis, Kristie, Sand, Sharon , Fontaine, Annette Campbell, Savarese, Antonella , Pasini, Barbara , Peissel, Bernard , Zaffaroni, Daniela , Vignolo-Lutati, Francesca, Scuvera, Giulietta, Giannini, Giuseppe , Bernard, Loris, Genuardi, Maurizio , Radice, Paolo , Dolcetti, Riccardo , Manoukian, Siranoush , Pensotti, Valeria , Yannoukakos, Drakoulis , Torres, Diana , Rashid, Muhammad Usman , Hamann, Ute, Peock, Susan, Frost, Debra, Platte, Radka, Evans, D. Gareth , Eeles, Rosalind A. , Davidson, Rosemarie, Eccles, Diana , Cole, Trevor, Brewer, Carole, Hodgson, Shirley, Walker, Lisa, Porteous, Mary, Kennedy, M. John, Izatt, Louise , Adlard, Julian , Donaldson, Alan, Ellis, Steve, Sharma, Priyanka , Schmutzler, Rita K., Wappenschmidt, Barbara , Becker, Alexandra, Rhiem, Kerstin, Hahnen, Eric , Engel, Christoph , Meindl, Alfons , Engert, Stefanie, Ditsch, Nina , Plendl, Hans Jörg, Mundhenke, Christoph , Niederacher, Dieter , Fleisch, Markus C. , Sutter, Christian , Bartram, Claus R., Dikow, Nicola , Wang‐Gohrke, Shan , Gadzicki, Dorothea, Kast, Karin, Varon-Mateeva, Raymonda, Gehrig, Andrea, Houdayer, Claude , Belotti, Muriel, Gauthier‐Villars, Marion , Boutry‐Kryza, Nadia, Lasset, Christine, Sobol, Hagay , Peyrat, Jean‐Philippe, Muller, Danièle, Fricker, Jean‐Pierre , Collonge‐Rame, Marie‐Agnès , Mortemousque, Isabelle, Noguès, Catherine , Rouleau, Étienne , Paepe, Anne De , Poppe, Bruce , Claes, Kathleen , Piedmonte, Marion, Rodriguez, Gustavo C. , Wakely, Katie, Boggess, John F., Blank, Stephanie V. , Basil, Jack, Phillips, Kelly‐Anne , Caldés, Trinidad , Hoya, Miguel de la , Romero, Atocha , Aittomäki, Kristiina, Hout, Annemarie H. van der, Hogervorst, Frans B.L., Verhoef, Senno, Collée, J. Margriet, Seynaeve, Caroline, Oosterwijk, Jan C., Gille, Johannes J. P., Gómez, E. , Kets, Carolien M., Ausems, Margreet G.E.M. , Aalfs, Cora M. , Devilee, Peter , Mensenkamp, Arjen R. , Kwong, Ava , Oláh, Edith , Papp, J., Dı́ez, Orland , Darder, Esther , Blanco, Ignacio , Salinas, Mónica, Jakubowska, Anna , Lubiński, Jan , Jaworska–Bieniek, Katarzyna, Durda, Katarzyna, Sukiennicki, Grzegorz, Huzarski, Tomasz , Byrski, Tomasz , Cybulski, Cezary, Tołoczko‐Grabarek, Aleksandra, Złowocka-Perłowska, Elżbieta , Menkiszak, Janusz , Arason, Aðalgeir , Barkardóttir, Rósa B. , Simard, Jacques , Laframboise, Rachel , Montagna, Marco , Alducci, Elisa, Peixoto, Ana , Teixeira, Manuel R. , Spurdle, Amanda B. , Lee, Min Hyuk , Park, Sue K. , Kim, Sung-Won, Friebel, Tara M. , Lindor, Noralane M. , Guidugli, Lucia, Foretová, Lenka , Vijai, Joseph , Offit, Kenneth, Robson, Mark E. , Rau‐Murthy, Rohini, Kauff, Noah D. , Fink-Retter, A., Singer, Christian F., Gschwantler‐Kaulich, Daphne , Pfeiler, Georg , Tea, Muy‐Kheng M., Berger, Andreas, Greene, Mark H. , Mai, Phuong L., Imyanitov, Evgeny N., Senter, Leigha , Bojesen, Anders , Pedersen, Inge Søkilde , Skytte, Anne‐Bine , Sunde, Lone , Thomassen, Mads , Moeller, Sanne Traasdahl, Kruse, Torben A., Jensen, Uffe Birk , Caligo, Maria A. , Aretini, Paolo , Teo, Soo‐Hwang , Selkirk, Christina G. , Hulick, Peter J. , Andrulis, Irene L. , Lu, Karen H. , Durocher, Francine , Thorne, Heather , Pankratz, Vernon S, Wang, Xianshu , Mitra, Nandita , Wan, Fei , Paluch–Shimon, Shani , Huo, Dezheng , Nussbaum, Robert L. , Domchek, Susan M. , Arun, Banu , Karlan, Beth Y. , Godwin, Andrew K. , Pathak, Harsh B. , Chung, Wendy K. , Buys, Saundra S. , Janavičius, Ramūnas , Tung, Nadine , Steele, Linda Roslyn , Neuhausen, Susan L. , Hansen, Thomas van Overeem , Cajal, Teresa Ramón y , Godino, Javier, Bonanni, Bernardo , Gismondi, Viviana , Fostira, Florentia , Garber, Judy E. , Cook, Jackie A , Morrison, Patrick J. , Kennedy, M. John, Ellis, Steve, Meindl, Alfons , Arnold, Norbert , Steinemann, Doris , Beer, Marit A. de , Weber, Bernhard H. F. , Stoppa‐Lyonnet, Dominique , Houdayer, Claude , Damiola, Francesca , Lasset, Christine , Isaacs, Claudine , Leeneer, Kim De , Azodi, Masoud , Nevanlinna, Heli , Gille, Johannes J. P., Wijnen, Juul , Lázaro, Conxi , Gronwald, Jacek , Agata, Simona , Couch, Fergus J. , Pankratz, V. Shane , Tischkowitz, Marc D. , Singer, Christian F. , Rappaport, Christine , Mai, Phuong L., Toland, Amanda Ewart , Caligo, Maria A , Hulick, Peter J , Spurdle, Amanda B , Teixeira, Manuel R , Teo, Soo H , van Rensburg, Elizabeth J , Eccles, Diana , de la Hoya, Miguel , Diez, Orland , Radice, Paolo , Weitzel, Jeffrey N , Claes, Kathleen B M , Adlard, Julian , Darder, Esther , Eeles, Rosalind A , Ehrencrona, Hans , Evans, D Gareth , John, Esther M , Joseph, Vijai , Olopade, Olufunmilayo I , Sunde, Lone , Menkiszak, Janusz , Jakubowska, Anna , Romero, Atocha , Torres, Diana , Nathanson, Katherine L , Arason, Adalgeir , Benitez, Javier , Engel, Christoph , Montagna, Marco , Robson, Mark , Simard, Jacques , Chenevix-Trench, Georgia , Huzarski, Tomasz , Senter, Leigha , Rashid, Muhammad U , Gómez-García, Encarna B , Pasini, Barbara , Yannoukakos, Drakoulis , Devilee, Peter , Manoukian, Siranoush , Lubinski, Jan , Sharma, Priyanka , Phillips, Kelly-Anne , Terry, Mary Beth , Kwong, Ava , Rhiem, Kerstin

JAMA | April 7, 2015 | Volume: 313 | Issue: 13 | Pages: 1347

10.1001/jama.2014.5985 | PMID 25849179 Get It

The Neoadjuvant Model Is Still the Future for Drug Development in Breast Cancer
DeMichele, Angela, Yee, Douglas , Berry, Donald A. , Albain, Kathy S. , Benz, Christopher C. , Buxton, Meredith , Chia, Stephen , Chien, A. Jo , Clark, Amy S. , Edmiston, Kirsten K., Forero‐Torres, Andres , Haddad, Tufia C. , Haley, Barbara , Haluska, Paul , Korde, Larissa A. , Leyland‐Jones, Brian , Liu, Minetta C. , Melisko, Michelle , Minton, Susan, Moulder, Stacy L. , Nanda, Rita , Olopade, Olufunmilayo I. , Paoloni, Melissa, Park, John W., Parker, Barbara A. , Perlmutter, Jane , Petricoin, Emanuel F. , Symmans, Fraser, Tripathy, Debasish , Veer, Laura J. van’t , Viscusi, Rebecca K., Symmans, W. Fraser , Boughey, Judy, Boughey, Judy C. , Hui, Jane Yuet Ching , Elias, Anthony , Hylton, Nola M. , Isaacs, Claudine , Kaplan, Henry G. , Rugo, Hope S. , Wallace, Anne M. , Wolf, Denise M. , Yau, Christina , Esserman, Laura J. , Olopade, Olufunmilayo I , Symmans, W Fraser , Yee, Douglas

Clinical Cancer Research | February 26, 2015 | Volume: 21 | Issue: 13 | Pages: 2911-2915

10.1158/1078-0432.ccr-14-1760 | PMID 25712686 Get It

AbstractThe many improvements in breast cancer therapy in recent years have so lowered rates of recurrence that it is now difficult or impossible to conduct adequately powered adjuvant clinical trials. Given the many new drugs and potential synergistic combinations, the neoadjuvant approach has been used to test benefit of drug combinations in clinical trials of primary breast cancer. A recent FDA-led meta-analysis showed that pathologic complete response (pCR) predicts disease-free survival (DFS) within patients who have specific breast cancer subtypes. This meta-analysis motivated the FDA's draft guidance for using pCR as a surrogate endpoint in accelerated drug approval. Using pCR as a registration endpoint was challenged at ASCO 2014 Annual Meeting with the presentation of ALTTO, an adjuvant trial in HER2-positive breast cancer that showed a nonsignificant reduction in DFS hazard rate for adding lapatinib, a HER-family tyrosine kinase inhibitor, to trastuzumab and chemotherapy. This conclusion seemed to be inconsistent with the results of NeoALTTO, a neoadjuvant trial that found a statistical improvement in pCR rate for the identical lapatinib-containing regimen. We address differences in the two trials that may account for discordant conclusions. However, we use the FDA meta-analysis to show that there is no discordance at all between the observed pCR difference in NeoALTTO and the observed HR in ALTTO. This underscores the importance of appropriately modeling the two endpoints when designing clinical trials. The I-SPY 2/3 neoadjuvant trials exemplify this approach. Clin Cancer Res; 21(13); 2911–5. ©2015 AACR.
SWOG S0221: A Phase III Trial Comparing Chemotherapy Schedules in High-Risk Early-Stage Breast Cancer
Budd, G. Thomas , Hobday, Timothy J. , Stewart, James A. , Salim, Muhammad , Cho, Jonathan K., Rinn, Kristine , Albain, Kathy S. , Chew, Helen K. , Burton, Gary V., Moore, Timothy D., Srkalović, Gordan , Flaherty, Lawrence E. , Livingston, Robert B., Lew, Danika L., Budd, George T, Rinn, Kristine J, McGregor, Bradley A. , Barlow, William E. , Moore, Halle C. F. , Isaacs, Claudine , Gralow, Julie R. , Hortobágyi, Gabriel N.

Journal of Clinical Oncology | November 25, 2014 | Volume: 33 | Issue: 1 | Pages: 58-64

10.1200/jco.2014.56.3296 | PMID 25422488 Get It

Purpose To determine the optimal dose and schedule of anthracycline and taxane administration as adjuvant therapy for early-stage breast cancer. Patients and Methods A 2 × 2 factorial design was used to test two hypotheses: (1) that a novel continuous schedule of doxorubicin-cyclophosphamide was superior to six cycles of doxorubicin-cyclophosphamide once every 2 weeks and (2) that paclitaxel once per week was superior to six cycles of paclitaxel once every 2 weeks in patients with node-positive or high-risk node-negative early-stage breast cancer. With 3,250 patients, a disease-free survival (DFS) hazard ratio of 0.82 for each randomization could be detected with 90% power with two-sided α = .05. Overall survival (OS) was a secondary outcome. Results Interim analyses crossed the futility boundaries for demonstrating superiority of both once-per-week regimens and once-every-2-weeks regimens. After a median follow-up of 6 years, a significant interaction developed between the two randomization factors (DFS P = .024; OS P = .010) in the 2,716 patients randomly assigned in the original design, which precluded interpretation of the two factors separately. Comparing all four arms showed a significant difference in OS (P = .040) but not in DFS (P = .11), with all treatments given once every 2 weeks associated with the highest OS. This difference in OS seemed confined to patients with hormone receptor–negative/human epidermal growth factor receptor 2 (HER2) –negative tumors (P = .067), with no differences seen with hormone receptor–positive/HER2-negative (P = .90) or HER2-positive tumors (P = .40). Conclusion Patients achieved a similar DFS with any of these regimens. Subset analysis suggests the hypothesis that once-every-2-weeks dosing may be best for patients with hormone receptor–negative/HER2-negative tumors.
A Phase IB multicentre dose‐determination study of BHQ880 in combination with anti‐myeloma therapy and zoledronic acid in patients with relapsed or refractory multiple myeloma and prior skeletal‐related events
Iyer, Swaminathan P. , Beck, Joseph Taddeus, Stewart, A. Keith, Shah, Jatin J., Kelly, Kevin R. , Isaacs, Randi , Bilic, Sanela , Munshi, Nikhil C. , Sen, Suman

British Journal of Haematology | August 19, 2014 | Volume: 167 | Issue: 3 | Pages: 366-375

10.1111/bjh.13056 | PMID 25139740 Get It

SummaryDickkopf‐1 (DKK1), expressed by myeloma cells, suppresses osteoblast function and plays a key role in bone disease in multiple myeloma. BHQ880, a human neutralizing IgG1 anti‐DKK1 monoclonal antibody, is being investigated for its impact on multiple myeloma‐related bone disease and as an agent with potential anti‐myeloma activity. The primary objectives of this Phase IB study were to determine the maximum tolerated dose (MTD) of BHQ880 and to characterize the dose‐limiting toxicity (DLT) of escalating doses in combination with anti‐myeloma therapy and zoledronic acid. Twenty‐eight patients were enrolled and received BHQ880 at doses of 3–40 mg/kg. No DLTs were reported, therefore, the MTD was not determined. The recommended Phase II dose was declared as 10 mg/kg, based mainly on saturation data. There was a general trend towards increased bone mineral density (BMD) observed over time; specific increases in spine BMD from Cycle 12 onwards irrespective of new skeletal‐related events on study were observed, and increases in bone strength at the spine and hip were also demonstrated in some patients. BHQ880 in combination with zoledronic acid and anti‐myeloma therapy was well tolerated and demonstrated potential clinical activity in patients with relapsed or refractory multiple myeloma.
Abstract P2-18-09: TBCRC 013: A prospective analysis of the role of surgery in stage IV breast cancer
King, TA, Lyman, JP, Gönen, Mithat , Voci, Amy, Boafo, Camilla, Hwang, ES, Rugo, HS, Alvarado, Michael , Liu, M, Boughey, JC , Jacobs, LK, McGuire, KP, Storniolo, AM, Nanda, Ronica H. , Golshan, Mehra, Isaacs, C, Meszoely, IM, Poznak, CH Van, Babiera, Gildy V., Morrow, Monica, Winer, EP, Hudis, CA, Krontiras, Helen , Bijelić, Lana , Norton, Larry , Wolff, Antonio C.

Cancer Research | August 14, 2014 | Volume: 73 | Issue: 24_Supplement | Pages: P2-18-09-P2-18-09

10.1158/0008-5472.sabcs13-p2-18-09 Get It

Abstract Background: Retrospective studies suggest that primary breast surgery is associated with improved overall survival (OS) in Stage IV breast cancer. TBCRC 013 is a multi-center prospective registry study evaluating the role of surgery for the primary tumor in Stage IV disease. Methods: From 7/09 - 4/12, 128 eligible pts from 14 sites were enrolled in two cohorts (A: Stage IV with intact primary tumor (n = 112); B: metastases (mets) within 3 months of primary surgery (n = 16)). Baseline patient and tumor characteristics, and surgery of the primary were correlated with 2yr overall survival (OS) using log rank, Kaplan Meier and Cox regression for all patients. Comparisons were also made between cohorts A and B and within cohort A stratified by response to systemic therapy. Responders included those with any response (partial,complete) or stable disease at distant sites. Results: Median pt age was 52yrs(21-79) and median primary tumor size 3.2cm(0.7-15). Phenotypes were ER+ 106 (83%), HER2neg 91(71%), and triple neg 10(8%). 60(47%) had bone-only mets. The only significant baseline difference between cohorts A and B was the presence of palpable nodes (A:62% vs B:0%, p<0.001). There were no differences in age, tumor size, ECOG scores, ER or HER2 status, number or sites of mets between cohorts A and B. At a median follow-up of 25 mo (95%CI, 23-31), 2yr OS for all pts is 86% (80-92) and is superior in cohort B as compared to A, (100% vs 84%, p = 0.03). On multivariate analysis (MVA) including all pts, only surgery, ER and HER2 positivity were associated with improved OS (table). Among 112 pts with an intact primary (Arm A), 17(15%) were non-responsive (NR) to systemic therapy, 3(18%) of whom required palliative surgery at a median time of 10.4mos. 2yr OS among NR was 33% (15-69) as compared to 94% (88-99) in Arm A responders (R) (p<0.001). ER positivity was the only baseline difference between NR (65%) and R (88%) within Arm A (p = 0.02). Among 94(85%) Arm A responders, 39(41%) had elective surgery (median 8.4 mos, 95%CI:6.9-10.3) and only 1 of the remaining 47(2%) required palliation. When limited to Arm A responders, elective surgery was not associated with improved 2yr OS (surgery vs not: 94% vs 92%, p = 0.5). Median time to progression following elective surgery was 12 mos (95%CI,8-19mos). When cohort B (n = 16) and cohort A surgery groups (n = 39) are combined, surgery of the primary tumor is associated with improved 2yr OS (96% vs 74%, p = 0.002). Conclusions: In this prospective registry study, patients diagnosed with mets within 3 months of primary breast surgery have an improved 2yr OS. When all pts having surgery (A + B) are examined, surgery is associated with improved OS on MVA, but when limited to Arm A responders, elective surgery does not improve OS. Given that the number of Arm A responders is small, results from the prospective randomized trial will be needed to address this question. These data also demonstrate that the need for surgical palliation of the primary tumor is uncommon in the modern era. Multivariate Analysis for OSN = 128HR Death (95%CI)pvalueSurgery0.28 (0.10-0.74)0.01ER positivity0.28 (0.10-0.72)0.01HER2 positivity0.21 (0.06-0.74)0.01MVA included: age, tumor size, ECOG, ER, PR, HER2, met sites, and surgery Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P2-18-09.
Adult polyglucosan body disease with GBE1 haploinsufficiency and concomitant frontotemporal lobar degeneration
Bit‐Ivan, Esther N., Lee, K.‐J. , Gitelman, Darren R. , Weıntraub, Sandra , Rademakers, Rosa , Isaacs, Adrian M. , Hatanpaa, Kimmo J. , White, Charles L. , Mao, Qinwen , Akman, Orhan, DiMauro, Salvatore, Bigio, Eileen H. , Mesulam, Marsel M. , White, Charles L , Mao, Qinwen

Neuropathology and Applied Neurobiology | April 19, 2014 | Volume: 40 | Issue: 6 | Pages: 778-782

10.1111/nan.12144 | PMID 24750115 Get It

Phase I and Pharmacologic Trial of Cytosine Arabinoside with the Selective Checkpoint 1 Inhibitor Sch 900776 in Refractory Acute Leukemias
Karp, Judith E. , Thomas, B M , Greer, Jacqueline M., Sorge, Christopher L., Gore, Steven D. , Pratz, Keith W. , Flatten, Karen S., Peterson, Kevin, Schneider, Paula A., Mackey, Karen, Freshwater, Tomoko, McDevitt, Michael A. , Gladstone, Douglas E. , Showel, Margaret M. , Loechner, Sabine, Horowitz, Jo Ann, Isaacs, Randi , Smith, B. Douglas , Levis, Mark J. , Carraway, Hetty E. , Parry, David , Kaufmann, Scott H.

Clinical Cancer Research | October 24, 2012 | Volume: 18 | Issue: 24 | Pages: 6723-6731

10.1158/1078-0432.ccr-12-2442 | PMID 23092873 Get It

Abstract Purpose: Incorporation of cytarabine into DNA activates checkpoint kinase 1 (Chk1), which stabilizes stalled replication forks, induces S-phase slowing, and diminishes cytarabine cytotoxicity. The selective Chk1 inhibitor SCH 900776 abrogates cytarabine-induced S-phase arrest and enhances cytarabine cytotoxicity in acute leukemia cell lines and leukemic blasts in vitro. To extend these findings to the clinical setting, we have conducted a phase I study of cytarabine and SCH 900776. Experimental Design: Twenty-four adults with relapsed and refractory acute leukemias received timed sequential, continuous infusion cytarabine 2 g/m2 over 72 hours (667 mg/m2/24 hours) beginning on day 1 and again on day 10. SCH 900776 was administered as a 15- to 30-minute infusion on days 2, 3, 11, and 12. The starting dose of SCH 900776 was 10 mg/m2/dose. Results: Dose-limiting toxicities consisting of corrected QT interval prolongation and grade 3 palmar-plantar erythrodysesthesia occurred at 140 mg flat dosing (dose level 5, equivalent to 80 mg/m2). Complete remissions occurred in 8 of 24 (33%) patients, with 7 of 8 at 40 mg/m2 or higher. SCH 900776 did not accumulate at any dose level. Marrow blasts obtained pretreatment and during therapy showed increased phosphorylation of H2Ax after SCH 900776 beginning at 40 mg/m2, consistent with unrepaired DNA damage. Conclusions: These data support a randomized phase II trial of cytarabine +/− SCH 900776 at a recommended flat dose of 100 mg (equivalent to 56 mg/m2) for adults with poor-risk leukemias. The trial (SP P05247) was registered at www.clinicaltrials.gov as NCT00907517. Clin Cancer Res; 18(24); 6723–31. ©2012 AACR.