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445 citation(s) found for "Goetz, MP".

Abstract P5-07-01: LncRNA MIR2052HG regulates ERα level and endocrine resistance through LMTK3 by recruiting early growth response protein 1
Cairns, Junmei , Ingle, JN, Shepherd, LE , Goetz, MP, Weinshilboum, RM, Kalari, KR, Wang, L, Kubo, M, Wang, L

Mayo Clinic

Cancer Research | February 15, 2018 | Volume: 78 | Issue: 4_Supplement | Pages: P5-07-01-P5-07-01

10.1158/1538-7445.sabcs17-p5-07-01 Get It

Abstract BACKGROUND: A GWAS for the MA.27 aromatase inhibitors (AIs) adjuvant trial (4,406 controls and 252 cases) identified variant (V) SNPs in a long noncoding (lnc) RNA, MIR2052HG, that were associated with longer breast cancer free interval (HR= 0.37, P= 2.15E-07). V SNPs (MAF= 0.32 to 0.42) were associated with lower MIR2052HG and ERα expression in the presence of AIs. MIR2052HG maintained ERα both by promoting AKT/FOXO3-mediated ESR1 transcription and by limiting ubiquitin-mediated ERα degradation. (Cancer Res 76:7012-23, 2016). Our goal was to further elucidate MIR2052HG's mechanism of action. METHODS: RNA-Binding Protein Immunoprecipitation (RBPI) assays were performed to demonstrate that the transcription factor, early growth response protein 1 (EGR1), worked together with MIR2052HG to regulate lemur tyrosine kinase-3 (LMTK3) transcription in MCF7/AC1 and CAMA-1 cells. The location of EGR1 on the LMTK3 gene locus was mapped using chromatin immunoprecipitation (ChIP) assays. The co-localization of MIR2052HG RNA and the LMTK3 gene locus was determined using RNA-DNA dual fluorescent in situ hybridization (FISH). SNP effects were evaluated using a panel of human lymphoblastoid cell lines. RESULTS: TCGA analysis revealed LMTK3 and MIR2052HG expression were highly correlated in ERα-positive breast cancer patients. We found that the MIR2052HG transcript was located in the LMTK3 gene locus by RNA-DNA FISH. Among all of the 12 potential LMTK3 transcription factors identified in the Encode database that were examined by RBPI, only EGR1 showed an interaction with MIR2052HG. CHIP assays confirmed EGR1 binding to the two putative EGR1 binding sites in LMTK3 gene.Depletion of MIR2052HG reduced the binding of EGR1 to the LMTK3 promoter and decreased LMTK3 expression, suggesting that it might function as a scaffold. Mechanistically, decreased LMTK3 levels further increased protein kinase C (PKC) activity and downstream AKT activity, leading to reduced ESR1 mRNA levels via increased pFOXO3. At the protein level, in MIR2052HG depleted cells, increased PKC activity increased the phosphorylation of MEK, ERK, and RSK1, leading to increased ERα phosphorylation at Ser167 and increased ERα degradation. Conversely, overexpression of LMTK3 in MIR2052HG depleted cells reversed these phenotypes. MIR2052HG regulated LMTK3 and ERα expression in a SNP- dependent fashion: the MIR2052HG V SNP, relative to wild-type (WT) genotype, increased LMTK3/ERα expression in response to androstenedione due to increased binding between EGR1 and the LMTK3 promoter in LCLs. However, AI treatment reduced this binding in MIR2052HG variant cells but increased binding in WT cells, resulting in decreased LMTK3/ERα in V cells and increased expression in WT cells. CONCLUSIONS: Our findings support a model in which the protective MIR2052HG variant genotype regulates LMTK3 via MIR2052HG/EGR1, and LMTK3 regulates ERα stability via the PKC/MEK/ERK/RSK1 axis. This regulation may explain the effect of the MIR2052HG variant genotype on cell proliferation and response to AIs in MA.27. These findings provide new insight into the mechanism of action of MIR2052HG and suggest that LMTK3 may be a new therapeutic target in ERα-positive breast cancer patients treated with AIs. Citation Format: Cairns J, Ingle JN, Shepherd LE, Kubo M, Goetz MP, Weinshilboum RM, Kalari KR, Wang L. LncRNA MIR2052HG regulates ERα level and endocrine resistance through LMTK3 by recruiting early growth response protein 1 [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P5-07-01.
Abstract P3-05-06: Prognostic value of the neutrophil-to-lymphocyte ratio (NLR) and its relation to stromal tumor infiltrating lymphocytes (sTILs) in triple negative breast cancer (TNBC)
Leon-Ferre, RA, Polley, M-Y, Liu, H, Cafourek, Victoria, Negron, Viviana, Boughey, JC , Liu, MC, Ingle, JN, Kalari, KR, Couch, FJ, Visscher, DW, Goetz, MP, Gilbert, J, Hillman, David W.

Mayo Clinic

Cancer Research | February 15, 2018 | Volume: 78 | Issue: 4_Supplement | Pages: P3-05-06-P3-05-06

10.1158/1538-7445.sabcs17-p3-05-06 Get It

Abstract Background: While TNBC remains the most aggressive type of breast cancer (BC), substantial heterogeneity in biology and outcomes exists among TNBC subtypes. Historically, risk stratification of TNBC has been based on anatomic factors such as tumor size, nodal involvement and presence of distant metastases. However, these features alone fail to accurately predict outcomes. Tumor immune infiltration (sTILs) and distribution of immune cell subsets in the perip heral blood (NLR) have emerged as variables reported to be associated with outcomes in TNBC. We sought to evaluate whether NLR and sTILs provided independent prognostic information in TNBC. Methods: From a cohort of 9,982 women who underwent BC surgery at Mayo Clinic, Rochester, MN between Jan 1985 and Dec 2012, we identified 605 centrally-confirmed TNBC tumors. Patients (pts) with prior BC, bilateral BC, non-invasive disease, stage IV, neoadjuvant therapy, endocrine therapy, or adenoid cystic histology were excluded. For eligible tumors, clinical and pathologic variables were evaluated, including peripheral blood NLR and central assessment of sTILs per the 2014 International TILs Working Group recommendations. We calculated the Pearson correlation coefficient (PCC) between NLR and sTILs and constructed Cox Proportional Hazards Models to evaluate their association with invasive-disease free (IDFS) and overall survival (OS). NLR and sTILs were both analyzed as continuous variables. Results: Most pts had T1-2 (95%) and N0-1 disease (86%). Median OS follow-up was 10.6yrs. Median IDFS was 12yrs (95%CI 10.2-16.7) and median OS was 18.8yrs (95%CI 15.6-20.8). NLR and sTILs were available in 408 and 599 pts, respectively. The median NLR and sTIL content were 2.29 (0.14-10.50) and 20% (0-90%), respectively. NLR and sTILs were poorly correlated (PCC 0.0237). On univariate analysis (UVA), a higher NLR was associated with worse IDFS (HR 1.13; 95%CI 1.02-1.26, p=0.02) and OS (HR 1.17; 95%CI 1.04-1.31, p=0.01). Each 1% increment in sTILs was associated with improved IDFS (HR 0.99; 95%CI 0.98-0.99, p<0.001) and OS (HR 0.99, 95%CI 0.98-1.00, p<0.001). Among pts with high sTILs (≥20%), a higher NLR remained significantly associated with worse IDFS (HR 1.21; 95%CI 1.05-1.38, p=0.007) and OS (HR 1.25; 95%CI 1.09-1.44, p=0.001). In contrast, among pts with low sTILs (<20%), NLR was not associated with IDFS (HR 1.07; 95%CI 0.89-1.28, p=0.49) or OS (HR 1.07; 95%CI 0.88-1.30, p=0.49). The interaction test between NLR and sTILs did not reach statistical significance. A multivariate analysis (MVA; including age, menopausal status, histologic subtype, grade, tumor size, nodal stage, Ki-67, NLR, sTILs, adjuvant chemotherapy, type of surgery and adjuvant radiation) showed that sTILs remained independently associated with IDFS (HR 0.99, 95%CI 0.97-1.0, p=0.019) and OS (HR 0.99, 95% CI 0.97-1.0, p=0.044), whereas NLR did not. Conclusions: A lower NLR and a higher sTIL content were each associated with improved IDFS and OS among pts with nonmetastatic TNBC on UVA. However, when evaluated on a MVA, only sTILs remained independently associated with IDFS and OS. Our data suggest that the effect of sTILs on outcomes may not be modified by the NLR. Citation Format: Leon-Ferre RA, Polley M-Y, Liu H, Gilbert J, Cafourek V, Hillman D, Negron V, Boughey JC, Liu MC, Ingle JN, Kalari K, Couch FJ, Visscher DW, Goetz MP. Prognostic value of the neutrophil-to-lymphocyte ratio (NLR) and its relation to stromal tumor infiltrating lymphocytes (sTILs) in triple negative breast cancer (TNBC) [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P3-05-06.
Abstract P1-06-07: Mayo clinic TNBC outcome calculator: A clinical calculator to predict disease relapse and survival in women with triple-negative breast cancer
Polley, M-YC, Leon-Ferre, RA, Liu, H, Gilbert, J, Cafourek, Vicky, Hillman, DW, Negron, Vivian , Boughey, JC , Liu, MC, Ingle, JN, Couch, F.J., Visscher, DW, Goetz, MP, Hillman, David W. , Kalari, Krishna R.

Mayo Clinic

Cancer Research | February 15, 2018 | Volume: 78 | Issue: 4_Supplement | Pages: P1-06-07-P1-06-07

10.1158/1538-7445.sabcs17-p1-06-07 Get It

Abstract Purpose: Triple negative breast cancer (TNBC) is an aggressive breast cancer subtype with substantial risks of disease recurrence. While cytotoxic chemotherapy is commonly administered and reduces recurrence, disease outcomes vary considerably and few prognostic tools are available for risk stratification for TNBC patients. We constructed and validated clinical calculators for invasive-disease free survival (IDFS) and overall survival (OS) for TNBC and compared their performance against AJCC-based models which include only tumor size and nodal status. Methods: From a surgical cohort of 9,982 patients who underwent breast cancer surgery at Mayo Clinic between January 1985 and December 2012, 605 centrally reviewed TNBC patients were identified and used to construct Cox models for IDFS and OS. Patients treated with neoadjuvant chemotherapy were excluded. Variables considered included age, menopausal status, tumor size, nodal status, Nottingham grade, type of breast surgery (mastectomy vs. lumpectomy), adjuvant radiation therapy, adjuvant chemotherapy, Ki67, stromal tumor infiltrating lymphocytes (sTILs), and neutrophil-to-lymphocyte ratio (NLR). Missing values were imputed using single imputation with all variables (including outcomes) included in the imputation model. Backward step-down procedure was used for model selections. The final models were internally validated for calibration and discrimination using bootstrapping methods and compared with AJCC-based models. Results: For both IDFS and OS, higher sTIL's, less extensive nodal involvement, use of adjuvant chemotherapy, and lower NLR were significant predictors of improved clinical outcomes. Premenopausal status and younger age were additionally predictive of improved IDFS and OS, respectively. Models for IDFS and OS have good calibration and are associated with bias-corrected C-indices of 0.68 and 0.71, respectively, as compared with C-indices of 0.59 and 0.62 for AJCC-based models. Conclusions: Our data indicate that a clinical calculator that includes sTIL's, NLR, menopausal status, age, nodal involvement as well as chemotherapy use can provide significantly greater prediction of clinical risk than tumor size and nodal status alone. These tools may be used to identify TNBC patients at elevated risk of disease relapse and to aid physician's communication with patients regarding their long-term disease outlook and planning treatment strategies. External validation is required to further evaluate broader applicability of this tool, which was developed utilizing a single-institutional experience. Citation Format: Polley M-YC, Leon-Ferre RA, Liu H, Gilbert J, Cafourek V, Hillman DW, Negron V, Boughey JC, Liu MC, Ingle JN, Kalari K, Couch F, Visscher DW, Goetz MP. Mayo clinic TNBC outcome calculator: A clinical calculator to predict disease relapse and survival in women with triple-negative breast cancer [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P1-06-07.
Abstract GS6-02: The benefit of abemaciclib in prognostic subgroups: An exploratory analysis of combined data from the MONARCH 2 and 3 studies
Goetz, MP, O’Shaughnessy, Joyce , Sledge, GW, Forrester, Tammy , Mockbee, Colleen, Smith, IC, Martín, Miguel , Lin, Yi , Leo, Angelo Di , Johnston, Stephen

Mayo Clinic

Cancer Research | February 15, 2018 | Volume: 78 | Issue: 4_Supplement | Pages: GS6-02-GS6-02

10.1158/1538-7445.sabcs17-gs6-02 Get It

Abstract Background: Abemaciclib is an orally administered, selective inhibitor of cyclin-dependent kinases 4 & 6 that is dosed on a twice daily continuous schedule. Abemaciclib has demonstrated clinical efficacy with a generally tolerable safety profile in patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) advanced breast cancer in combination with fulvestrant in MONARCH 2 (NCT02107703) and in combination with non-steroidal aromatase inhibitors (NSAI) in MONARCH 3 (NCT02246621). These analyses were conducted to evaluate if patient and disease characteristics may better inform in whom and when abemaciclib should be initiated to define optimal treatment strategies. Methods: MONARCH 2 and 3 enrolled patients with HR+, HER2- advanced breast cancer. In MONARCH 2, patients whose disease had progressed while receiving endocrine therapy were treated with abemaciclib/placebo plus fulvestrant. In MONARCH 3, patients were treated with abemaciclib/placebo plus NSAI as initial therapy for advanced disease. An exploratory pooled analysis of the two studies was performed to determine significant prognostic factors. Efficacy results (progression-free survival [PFS] and objective response rate [ORR] in patients with measurable disease) were examined for patient subgroups corresponding to each of the identified significant prognostic factors. Subpopulation treatment effect pattern plot (STEPP) methodology was performed to examine the association between treatment-free interval (TFI) following adjuvant endocrine therapy and outcomes of endocrine therapy alone or in combination with abemaciclib in MONARCH 3. Results: Analyses of clinical factors in over 1000 patients confirmed the following to have prognostic value: bone-only disease, liver metastases, tumor grade, progesterone receptor (PgR) status, and ECOG performance status. Prognosis was poor in patients with liver metastases, PgR-negative tumors, and high-grade tumors. While all subpopulations benefited from the addition of abemaciclib to endocrine therapy regardless of prognosis, substantial benefit of abemaciclib was observed in poor prognosis subgroups, characterized by large increases in PFS (hazard ratios = 0.4 to 0.5) and ORR (over 30%). In addition, STEPP analysis of TFI on a subset of the MONARCH 3 population showed that patients with the shortest TFI appeared to have a poorer prognosis and received more benefit from the addition of abemaciclib compared to patients with longer TFI. Conclusions: This exploratory analysis has provided data that could help optimize treatment strategies by identifying that patients with poor prognostic factors may receive greater benefit from the addition of abemaciclib to endocrine therapy. Citation Format: Goetz MP, O'Shaughnessy J, Sledge Jr. GW, Martin M, Lin Y, Forrester T, Mockbee C, Smith IC, Di Leo A, Johnston S. The benefit of abemaciclib in prognostic subgroups: An exploratory analysis of combined data from the MONARCH 2 and 3 studies [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr GS6-02.
Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and Tamoxifen Therapy
Guchelaar, Henk‐Jan , Schwab, Matthias , Province, Michael A. , Symmans, W. Fraser , McLeod, Howard L. , Ratain, Mark J. , Zembutsu, Hitoshi , Schaik, Ron HN van , Caudle, Kelly E. , Ingle, James N. , Symmans, W Fraser , Goetz, Matthew P. , Sangkuhl, Katrin , Whirl‐Carrillo, Michelle , Gaedigk, Andrea , Klein, Teri E. , Schwab, Matthias , Province, Mike

Mayo Clinic

Clinical Pharmacology & Therapeutics | January 31, 2018 | Volume: 103 | Issue: 5 | Pages: 770-777

10.1002/cpt.1007 | PMID 29385237 Get It

Tamoxifen is biotransformed by CYP2D6 to 4‐hydroxytamoxifen and 4‐hydroxy N‐desmethyl tamoxifen (endoxifen), both with greater antiestrogenic potency than the parent drug. Patients with certain CYP2D6 genetic polymorphisms and patients who receive strong CYP2D6 inhibitors exhibit lower endoxifen concentrations and a higher risk of disease recurrence in some studies of tamoxifen adjuvant therapy of early breast cancer. We summarize evidence from the literature and provide therapeutic recommendations for tamoxifen based on CYP2D6 genotype.
Aurora-A overexpression is linked to development of aggressive teratomas derived from humans iPS cells
Ohmine, Seiga, Salisbury, Jeffrey L., Pettinato, Giuseppe , Haddad, Tufia C. , D’Assoro, Antonino B. , Ingle, James, Haddad, Tufia, Galanis, Evanthia , D'Assoro, Antonino B, Ingle, James N. , Haddox, Candace L. , Ikeda, Yasuhiro

Mayo Clinic

Oncology Reports | January 31, 2018 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.3892/or.2018.6239 | PMID 29393405 Get It

Impact of Excessive Weight Gain on Cardiovascular Outcomes in Type 1 Diabetes: Results From the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Study
Purnell, Jonathan Q. , Braffett, Barbara H. , Zinman, Bernard, Gubitosi‐Klug, Rose , Sivitz, William, Bantle, John P., Ziegler, Georgia, Cleary, Patricia A., Brunzell, John D. , Nathan, D.M., Zinman, B., Crofford, O., Genuth, S., Brown-Friday, J., Crandall, J., Engel, S., Martinez, H., Phillips, M., Reid, M., Shamoon, H., Sheindlin, J., Gubitosi-Klug, R., Mayer, L., Pendegast, S., Zegarra, H., Miller, D., Singerman, L., Smith-Brewer, S., Novak, M., Quin, J., Genuth, Saul, Palmert, M., Brown, E., McConnell, J., Pugsley, P., Crawford, P., Dahms, W., Gregory, N.S., Lackaye, M.E., Kiss, S., Chan, R., Orlin, A., Rubin, M., Brillon, D., Reppucci, V., Lee, T., Heinemann, M., Chang, S., Levy, B., Jovanovic, L., Richardson, M., Bosco, B., Dwoskin, A., Hanna, R., Barron, S., Campbell, R., Bhan, A., Krüger, D., Jones, J.K., Edwards, P.A., Bhan, A., Carey, J.D., Angus, E., Thomas, A., Galprin, A., McLellan, M., Whitehouse, F., Bergenstal, R., Johnson, M., Gunyou, K., Thomas, L., Laechelt, J., Hollander, P., Spencer, M., Kendall, D., Cuddihy, R., Callahan, P., List, S., Gott, J., Rude, N., Olson, B., Franz, M., Castle, G., Birk, R., Nelson, J., Freking, D., Gill, L., Mestrezat, W., Etzwiler, D., Morgan, K., Aiello, L.P., Golden, E., Arrigg, P., Asuquo, V., Beaser, R., Bestourous, L., Cavallerano, J., Cavicchi, R., Ganda, O., Hamdy, O., Kirby, R., Murtha, T., Schlossman, D., Shah, S., Sharuk, G., Silver, P., Silver, P., Stockman, M., Sun, J., Weimann, E., Wolpert, H., Aiello, L. M., Jacobson, A., Rand, L., Rosenzwieg, J., Nathan, D.M., Larkin, M.E., Christofi, M., Folino, K., Godine, J., Lou, P., Stevens, C., Anderson, E., Bode, H., Brink, S., Cornish, C., Cros, D., Delahanty, L., deManbey, A., Haggan, C., Lynch, J., McKitrick, C., Norman, D., Moore, D., Ong, M., Taylor, C., Zimbler, D., Crowell, S., Fritz, S., Hansen, K., Gauthier‐Kelly, C., Service, F. J., Ziegler, G., Barkmeier, A., Schmidt, L., French, B., Woodwick, R., Rizza, R., Schwenk, W. F., Haymond, M., Pach, J., Mortenson, J., Zimmerman, B., Lucas, A., Colligan, R., Luttrell, L., Lopes-Virella, M., Caulder, S., Pittman, C., Patel, N., Lee, K., Nutaitis, M., Fernandes, J., Hermayer, K., Kwon, S., Blevins, A., Parker, J., Colwell, J., Lee, D., Soule, J., Lindsey, P., Bracey, M., Farr, A., Elsing, S., Thompson, T., Selby, J., Lyons, T., Yacoub-Wasef, S., Szpiech, M., Wood, D., Mayfield, R., Molitch, M., Adelman, D., Colson, S., Jampol, L., Lyon, A., Gill, M., Strugula, Z., Kaminski, L., MIRZA, R., Simjanoski, E., Ryan, D., Johnson, C., Wallia, A., Ajroud-Driss, S., Astelford, P., Leloudes, N., Degillio, A., Schaefer, B., Mudaliar, S., Lorenzi, G., Goldbaum, M., Jones, K., Prince, M., Swenson, M., Grant, I., Reed, R., Lyon, R., Kolterman, O., Giotta, M, Clark, T., Friedenberg, G., Sivitz, W.I., Vittetoe, B., Kramer, J., Bayless, M., Zeitler, R., Schrott, H., Olson, N., Snetselaar, L., Hoffman, R., MacIndoe, J., Weingeist, T., Fountain, C., Miller, R., Johnsonbaugh, S., Patronas, M., Carney, M., Mendley, S., Salemi, P., Liss, R., Hebdon, M., Counts, D., Donner, T., Gordon, J., Hemady, R., Kowarski, A., Ostrowski, D., Steidl, S., Jones, B., Herman, W.H., Martin, C.L., Pop-Busui, R., Greene, D. A., Stevens, M.J., Burkhart, N., Sandford, T, Floyd, J., Bantle, J., Flaherty, N., Terry, J., Koozekanani, D., Montezuma, S., Wimmergren, N., Rogness, B., Mech, M., Strand, T., Olson, J., McKenzie, L., Kwong, C., Goetz, F., Warhol, R., Hainsworth, D., Goldstein, D., Hitt, S., Giangiacomo, J., Schade, D.S., Canady, J.L., Burge, M. R., Das, A., Avery, R.B., Ketai, L.H., Chapin, J.E., Schluter, M.L, Rich, J., Johannes, C., Hornbeck, D., Schutta, M., Bourne, P.A., Brucker, A., Braunstein, S., Schwartz, S., Maschak-Carey, B. J., Baker, L., Orchard, T., Cimino, L., Songer, T., Doft, B., Olson, S., Becker, D., Rubinstein, D., Bergren, R.L., Fruit, J., Hyre, R., Palmer, C., Silvers, N., Lobes, L., Rath, P. Paczan, Conrad, P. W., Yalamanchi, S., Wesche, J., Bratkowksi, M., Arslanian, S., Rinkoff, J., Warnicki, J., Curtin, D., Steinberg, D., Vagstad, G., Harris, R., Steranchak, L., Arch, J., Kelly, K., Ostrosaka, P., Guiliani, M., Good, M., Williams, T., Olsen, K., Campbell, A., Shipe, C., Conwit, R., Finegold, D., Zaucha, M., Drash, A., Morrison, A., Malone, J.I., Bernal, M.L., Pavan, P. R., Grove, N., Tanaka, E.A., McMillan, D., Vaccaro‐Kish, J., Babbione, L., Solc, H., DeClue, T.J., Dagogo-Jack, S., Wigley, C., Ricks, H., Kitabchi, A., Chaum, E., Murphy, M.B., Moser, S., Meyer, D., Iannacone, A., Yoser, S., Bryer‐Ash, M., Schüßler, S., Lambeth, H., Raskin, P., Strowig, S., Basco, M., Cercone, S., Zinman, B., Barnie, A., Devenyi, R., Mandelcorn, M., Brent, M., Rogers, S., Gordon, A., Bakshi, N., Perkins, B., Tuason, L., Perdikaris, F., Ehrlich, R., Daneman, D., Perlman, K., Ferguson, S., Palmer, J., Fahlstrom, R., Boer, I.H.de, Kinyoun, J., Ottingham, L. Van, Catton, S., Ginsberg, J., McDonald, C., Harth, J., Driscoll, M., Sheidow, T., Mahon, J., Canny, C., Nicolle, D., Colby, P., Dupre, J., Hramiak, I., Rodger, NW, Jenner, M., Smith, T., Brown, W., May, M., Hagan, J. Lipps, Agarwal, A., Adkins, T., Lorenz, R., Feman, S., Survant, L., White, N. H., Levandoski, L., Grand, G., Thomas, M., Joseph, D., Blinder, K., Shah, G., Burgess, D., Boniuk, I., Santiago, J., Tamborlane, W., Gatcomb, P., Stoessel, K., Ramos, P., Fong, K., Ossorio, P., Ahern, J., Meadema-Mayer, L., Beck, C., Farrell, K., Quin, J., Gaston, P., Trail, R., Lachin, J., Backlund, J., Bebu, I., Braffett, B., Diminick, L., Gao, X., Hsu, W., Klumpp, K., Trapani, Victoria R., Trapani, V., Cleary, P., McGee, P., Sun, W. , Villavicencio, S., Anderson, K., Dews, L., Younes, Naji , Rutledge, B., Chan, K., Rosenberg, D. , Petty, B., Determan, A., Kenny, D., Williams, C., Cowie, C., Siebert, C., Steffes, M., Arends, V., Bucksa, J., Nowicki, M., Chavers, B., O’Leary, D., Polák, J. (Jaroslav), Harrington, A., Funk, L., Crow, R., Gloeb, B., Thomas, S., O’Donnell, C., Soliman, EZ, Zhang, Z.M., Li, Y., Campbell, C., Keasler, L., Hensley, S., Hu, J., Barr, M., Taylor, T., Prineas, R., Feldman, E.L., Albers, J.W., Low, P., Sommer, C., Nickander, K., Speigelberg, T., Pfiefer, M., Schumer, M., Moran, M., Farquhar, J., Ryan, C., Sandstrom, D., Geckle, M., Cupelli, E., Thoma, F., Burzuk, B., Woodfill, T., Danis, R., Blodi, B., Lawrence, D., Wabers, H., Gangaputra, S., Neill, S., Burger, M., Dingledine, J., Gama, V., Sussman, R., Davis, M., Hubbard, L., Budoff, M., Darabian, S., Rezaeian, P., Wong, N., Fox, M., Oudiz, R., Kim, L., Detrano, R., Cruickshanks, K., Bainbridg, K., Lima, J., Bluemke, D., Turkbey, E., Geest, R. 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K., Maynard, J., Wessells, H., Sarma, A., Dunn, R., Holt, S., Hotaling, J., Kim, C., Clemens, Q., McVary, Kevin T. , Cuddihy, Robert , Paterson, Andrew D. , Gubitosi-Klug, Rose A , Paterson, Andrew , Zinman, Bernard , Sivitz, William I. , Ziegler, G., Nathan, D.M., Engel, Samuel S. , Reid, M., Genuth, Saul, McConnell, J., Campbell, R., Carey, J.D., Dd, Etzwiler, Cavallerano, Jerry D. , Larkin, M.E., DeManbey, Andrea, Ajroud-Driss, S., Mudaliar, S., Herman, W.H., Pop-Busui, R., Mech, Michael, Schade, D.S., Schwartz, S., Becker, Dj., Arch, J., Shipe, C., Drash, A L, Pavan, P R , DeClue, Terry J., Raskin, P., Rogers, S., Boer, I.H. de, Dupre, J, Tamborlane, W., Gatcomb, P., Bebu, I., Cleary, P., McGee, P., Steffes, M., Arends, V., Bm, Chavers, Polak, J., Feldman, E. L., Nickander, K. K., Pfiefer, M., Dittz, Dalton , Virella, Gabriel, Mayfield, R. K., Brown, Jonathan D. , Cuddihy, Robert M

Mayo Clinic

Diabetes Care | November 15, 2017 | Volume: 40 | Issue: 12 | Pages: 1756-1762

10.2337/dc16-2523 | PMID 29138273 Get It

OBJECTIVE Intensive treatment (INT) of type 1 diabetes reduces the incidence of cardiovascular disease (CVD) events compared with conventional treatment (CONV), but it also results in more weight gain. Our objective was to examine whether excessive weight gain from INT of type 1 diabetes is independently associated with subsequent CVD events. RESEARCH DESIGN AND METHODS Quartiles (Q) of weight gain in 1,213 participants aged 18 years and older at enrollment in the Diabetes Control and Complications Trial (DCCT) were determined within randomized treatment groups (INT vs. CONV) using change in BMI from baseline to the closeout DCCT visits. Effects of this weight gain on CVD risk factors and outcomes during an additional 20 years of observational follow-up were then determined. RESULTS The Q4 INT group experienced greater proportional weight gain (median change in BMI, 6.08 kg/m2), increases in CVD risk factors, and need for medications for hypertension and lipids compared with the Q1–3 INT and comparable CONV groups. Over a mean of 26 years of follow-up, the numbers of major and total CVD events were not statistically different in Q4 compared with Q1–3 of either the INT or CONV group. By year 14, however, the incident CVD event curve became significantly higher in the Q4 INT group than in the Q1–3 INT groups (P = 0.024) and was similar to that for the CONV group. CONCLUSIONS For the first 13 years after DCCT, INT for type 1 diabetes reduced macrovascular events compared with CONV, even when excessive weight gain occurred. After this, total CVD events significantly increased in the Q4 INT group, becoming equivalent to those in the CONV group. Longer follow-up is needed to determine whether this trend continues and results in more major CVD events.
ERβ inhibits cyclin dependent kinases 1 and 7 in triple negative breast cancer
Reese, Jordan , Bruinsma, Elizabeth S. , Negron, Vivian , Hawse, John R. , Reese, Jordan M, Monroe, David G. , Ingle, James N. , Suman, Vera J. , Goetz, Matthew P.

Mayo Clinic

Oncotarget | October 29, 2017 | Volume: 8 | Issue: 57 | Pages: 96506-96521

10.18632/oncotarget.21787 | PMID 29228549 Get It

MONARCH 3: Abemaciclib As Initial Therapy for Advanced Breast Cancer
Campone, Mario , Sohn, Joohyuk , Paluch–Shimon, Shani , Huober, Jens , Park, In Hae , Trédan, Olivier , Chen, Shin‐Cheh , Manso, Luís , Freedman, Orit, Jaliffe, Georgina Garnica, Forrester, Tammy , Frenzel, Martin, Barriga, Susana , Bourayou, Nawel, Leo, Angelo Di , Toi, Masakazu , Paluch-Shimon, Shani, Freedman, Orit C, Garnica Jaliffe, Georgina, Smith, Ian C., Di Leo, Angelo, Hae Park, In , Di Leo, Angelo , Goetz, Matthew P. , Smith, Ian C., Manso Sanchez, Luis , Sohn, Joohyuk

Mayo Clinic

Journal of Clinical Oncology | October 2, 2017 | Volume: 35 | Issue: 32 | Pages: 3638-3646

10.1200/jco.2017.75.6155 | PMID 28968163 Get It

Purpose Abemaciclib, a cyclin-dependent kinase 4 and 6 inhibitor, demonstrated efficacy as monotherapy and in combination with fulvestrant in women with hormone receptor (HR)–positive, human epidermal growth factor receptor 2 (HER2)–negative advanced breast cancer previously treated with endocrine therapy. Methods MONARCH 3 is a double-blind, randomized phase III study of abemaciclib or placebo plus a nonsteroidal aromatase inhibitor in 493 postmenopausal women with HR-positive, HER2-negative advanced breast cancer who had no prior systemic therapy in the advanced setting. Patients received abemaciclib or placebo (150 mg twice daily continuous schedule) plus either 1 mg anastrozole or 2.5 mg letrozole, daily. The primary objective was investigator-assessed progression-free survival. Secondary objectives included response evaluation and safety. A planned interim analysis occurred after 189 events. Results Median progression-free survival was significantly prolonged in the abemaciclib arm (hazard ratio, 0.54; 95% CI, 0.41 to 0.72; P = .000021; median: not reached in the abemaciclib arm, 14.7 months in the placebo arm). In patients with measurable disease, the objective response rate was 59% in the abemaciclib arm and 44% in the placebo arm ( P = .004). In the abemaciclib arm, diarrhea was the most frequent adverse effect (81.3%) but was mainly grade 1 (44.6%). Comparing abemaciclib and placebo, the most frequent grade 3 or 4 adverse events were neutropenia (21.1% v 1.2%), diarrhea (9.5% v 1.2%), and leukopenia (7.6% v 0.6%). Conclusion Abemaciclib plus a nonsteroidal aromatase inhibitor was effective as initial therapy, significantly improving progression-free survival and objective response rate and demonstrating a tolerable safety profile in women with HR-positive, HER2-negative advanced breast cancer.
A Phase II Trial of Neoadjuvant MK-2206, an AKT Inhibitor, with Anastrozole in Clinical Stage II or III PIK3CA -Mutant ER-Positive and HER2-Negative Breast Cancer
Cynthia, X. , Northfelt, Donald W. , Margenthaler, Julie A. , Aft, Rebecca , Gray, Richard J. , Wilke, Lee G. , Haddad, Tufia C. , Moynihan, Timothy J. , Loprinzi, Charles L. , Barnell, Erica K. , Skidmore, Zachary L. , Feng, Yan-Yang, Krysiak, Kilannin , Guo, Zhanfang , Nehring, Leslie, Wisinski, Kari B. , Sanati, Souzan , Al‐Kateb, Hussam , Griffith, Obi L. , Griffith, Malachi , Doyle, L. Austin, Erlichman, Charles , Suman, Vera, Northfelt, Donald, Haddad, Tufia, Moynihan, Timothy, Loprinzi, Charles, Hieken, Tina, Krysiak, Kilannin , Griffith, Malachi , Griffith, Obi L , Suman, Vera J. , Goetz, Matthew P. , Burkard, Mark E. , Ademuyiwa, Foluso O. , Naughton, Michael J. , Tevaarwerk, Amyé , Hieken, Tina J. , Hoog, Jeremy , Mardis, Elaine R. , Hagemann, Ian S. , Vij, Kiran R , Ellis, Matthew J.

Mayo Clinic

Clinical Cancer Research | September 5, 2017 | Volume: 23 | Issue: 22 | Pages: 6823-6832

10.1158/1078-0432.ccr-17-1260 | PMID 28874413 Get It

Abstract Purpose: Hyperactivation of AKT is common and associated with endocrine resistance in estrogen receptor–positive (ER+) breast cancer. The allosteric pan-AKT inhibitor MK-2206 induced apoptosis in PIK3CA-mutant ER+ breast cancer under estrogen-deprived condition in preclinical studies. This neoadjuvant phase II trial was therefore conducted to test the hypothesis that adding MK-2206 to anastrozole induces pathologic complete response (pCR) in PIK3CA mutant ER+ breast cancer. Experimental Design: Potential eligible patients with clinical stage II/III ER+/HER2− breast cancer were preregistered and received anastrozole (goserelin if premenopausal) for 28 days in cycle 0 pending tumor PIK3CA sequencing. Patients positive for PIK3CA mutation in the tumor were eligible to start MK-2206 (150 mg orally weekly, with prophylactic prednisone) on cycle 1 day 2 (C1D2) and to receive a maximum of four 28-day cycles of combination therapy before surgery. Serial biopsies were collected at preregistration, C1D1 and C1D17. Results: Fifty-one patients preregistered and 16 of 22 with PIK3CA-mutant tumors received study drug. Three patients went off study due to C1D17 Ki67 >10% (n = 2) and toxicity (n = 1). Thirteen patients completed neoadjuvant therapy followed by surgery. No pCRs were observed. Rash was common. MK-2206 did not further suppress cell proliferation and did not induce apoptosis on C1D17 biopsies. Although AKT phosphorylation was reduced, PRAS40 phosphorylation at C1D17 after MK-2206 persisted. One patient acquired an ESR1 mutation at surgery. Conclusions: MK-2206 is unlikely to add to the efficacy of anastrozole alone in PIK3CA-mutant ER+ breast cancer and should not be studied further in the target patient population. Clin Cancer Res; 23(22); 6823–32. ©2017 AACR.