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Your search keyword '"Merrell, Ryan T."' showing total 6 results
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6 results on '"Merrell, Ryan T."'

2. NRG/RTOG 1122: A phase 2, double‐blinded, placebo‐controlled study of bevacizumab with and without trebananib in patients with recurrent glioblastoma or gliosarcoma

Author

Lee, Eudocia Q., primary, Zhang, Peixin, additional, Wen, Patrick Y., additional, Gerstner, Elizabeth R., additional, Reardon, David A., additional, Aldape, Kenneth D., additional, deGroot, John F., additional, Pan, Edward, additional, Raizer, Jeffrey J., additional, Kim, Lyndon J., additional, Chmura, Steven J., additional, Robins, H. Ian, additional, Connelly, Jennifer M., additional, Battiste, James D., additional, Villano, John L., additional, Wagle, Naveed, additional, Merrell, Ryan T., additional, Wendland, Merideth M., additional, and Mehta, Minesh P., additional

Published
2020
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3. Glioma risk associated with extent of estimated European genetic ancestry in African Americans and Hispanics

Author

Ostrom, Quinn T., primary, Egan, Kathleen M., additional, Nabors, L. Burt, additional, Gerke, Travis, additional, Thompson, Reid C., additional, Olson, Jeffrey J., additional, LaRocca, Renato, additional, Chowdhary, Sajeel, additional, Eckel‐Passow, Jeanette E., additional, Armstrong, Georgina, additional, Wiencke, John K., additional, Bernstein, Jonine L., additional, Claus, Elizabeth B., additional, Il'yasova, Dora, additional, Johansen, Christoffer, additional, Lachance, Daniel H., additional, Lai, Rose K., additional, Merrell, Ryan T., additional, Olson, Sara H., additional, Sadetzki, Siegal, additional, Schildkraut, Joellen M., additional, Shete, Sanjay, additional, Houlston, Richard S., additional, Jenkins, Robert B., additional, Wrensch, Margaret R., additional, Melin, Beatrice, additional, Amos, Christopher I., additional, Huse, Jason T., additional, Barnholtz‐Sloan, Jill S., additional, and Bondy, Melissa L., additional

Published
2019
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4. Age‐specific genome‐wide association study in glioblastoma identifies increased proportion of 'lower grade glioma'‐like features associated with younger age

Author

Ostrom, Quinn T., Kinnersley, Ben, Armstrong, Georgina, Rice, Terri, Chen, Yanwen, Wiencke, John K., McCoy, Lucie S., Hansen, Helen M., Amos, Christopher I., Bernstein, Jonine L., Claus, Elizabeth B., Eckel-Passow, Jeanette E., Il'yasova, Dora, Johansen, Christoffer, Lachance, Daniel H., Lai, Rose K., Merrell, Ryan T., Olson, Sara H., Sadetzki, Siegal, Schildkraut, Joellen M., Shete, Sanjay, Rubin, Joshua B., Andersson, Ulrika, Rajaraman, Preetha, Chanock, Stephen J., Linet, Martha S., Wang, Zhaoming, Yeager, Meredith, Houlston, Richard S., Jenkins, Robert B., Wrensch, Margaret R., Melin, Beatrice, Bondy, Melissa L., Barnholtz-Sloan, Jill. S., Ostrom, Quinn T., Kinnersley, Ben, Armstrong, Georgina, Rice, Terri, Chen, Yanwen, Wiencke, John K., McCoy, Lucie S., Hansen, Helen M., Amos, Christopher I., Bernstein, Jonine L., Claus, Elizabeth B., Eckel-Passow, Jeanette E., Il'yasova, Dora, Johansen, Christoffer, Lachance, Daniel H., Lai, Rose K., Merrell, Ryan T., Olson, Sara H., Sadetzki, Siegal, Schildkraut, Joellen M., Shete, Sanjay, Rubin, Joshua B., Andersson, Ulrika, Rajaraman, Preetha, Chanock, Stephen J., Linet, Martha S., Wang, Zhaoming, Yeager, Meredith, Houlston, Richard S., Jenkins, Robert B., Wrensch, Margaret R., Melin, Beatrice, Bondy, Melissa L., and Barnholtz-Sloan, Jill. S.

Abstract

Glioblastoma (GBM) is the most common malignant brain tumor in the United States. Incidence of GBM increases with age, and younger age‐at‐diagnosis is significantly associated with improved prognosis. While the relationship between candidate GBM risk SNPs and age‐at‐diagnosis has been explored, genome‐wide association studies (GWAS) have not previously been stratified by age. Potential age‐specific genetic effects were assessed in autosomal SNPs for GBM patients using data from four previous GWAS. Using age distribution tertiles (18–53, 54–64, 65+) datasets were analyzed using age‐stratified logistic regression to generate p values, odds ratios (OR), and 95% confidence intervals (95%CI), and then combined using meta‐analysis. There were 4,512 total GBM cases, and 10,582 controls used for analysis. Significant associations were detected at two previously identified SNPs in 7p11.2 (rs723527 [p54–63 = 1.50x10−9, OR54–63 = 1.28, 95%CI54–63 = 1.18–1.39; p64+ = 2.14x10−11, OR64+ = 1.32, 95%CI64+ = 1.21–1.43] and rs11979158 [p54–63 = 6.13x10−8, OR54–63 = 1.35, 95%CI54–63 = 1.21–1.50; p64+ = 2.18x10−10, OR64+ = 1.42, 95%CI64+ = 1.27–1.58]) but only in persons >54. There was also a significant association at the previously identified lower grade glioma (LGG) risk locus at 8q24.21 (rs55705857) in persons ages 18–53 (p18–53 = 9.30 × 10−11, OR18–53 = 1.76, 95%CI18–53 = 1.49–2.10). Within The Cancer Genome Atlas (TCGA) there was higher prevalence of ‘LGG’‐like tumor characteristics in GBM samples in those 18–53, with IDH1/2 mutation frequency of 15%, as compared to 2.1% [54–63] and 0.8% [64+] (p = 0.0005). Age‐specific differences in cancer susceptibility can provide important clues to etiology. The association of a SNP known to confer risk for IDH1/2 mutant glioma and higher prevalence of IDH1/2 mutation within younger individuals 18–53 suggests that more younger individuals may present initially with ‘secondary glioblastoma.’

Published
2018
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5. History of chickenpox in glioma risk: a report from the glioma international case–control study (GICC)

Author

Amirian, E. Susan, primary, Scheurer, Michael E., additional, Zhou, Renke, additional, Wrensch, Margaret R., additional, Armstrong, Georgina N., additional, Lachance, Daniel, additional, Olson, Sara H., additional, Lau, Ching C., additional, Claus, Elizabeth B., additional, Barnholtz‐Sloan, Jill S., additional, Il'yasova, Dora, additional, Schildkraut, Joellen, additional, Ali‐Osman, Francis, additional, Sadetzki, Siegal, additional, Jenkins, Robert B., additional, Bernstein, Jonine L., additional, Merrell, Ryan T., additional, Davis, Faith G., additional, Lai, Rose, additional, Shete, Sanjay, additional, Amos, Christopher I., additional, Melin, Beatrice S., additional, and Bondy, Melissa L., additional

Published
2016
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6. Optimization of the flip angles of narrow-band editing pulses in J-difference edited MRS of lactate at 3T.

Author

Moore JE, Robison RK, Hu J, Sengupta ST, Mahdi OS, Anderson AW, Luo LY, Mohler AC, Merrell RT, and Choi C

Subjects
Humans, Magnetic Resonance Spectroscopy methods, Phantoms, Imaging, Threonine, Lactic Acid, Brain Neoplasms diagnostic imaging
Abstract

Purpose: Application of highly selective editing RF pulses provides a means of minimizing co-editing of contaminants in J-difference MRS (MEGA), but it causes reduction in editing yield. We examined the flip angles (FAs) of narrow-band editing pulses to maximize the lactate edited signal with minimal co-editing of threonine., Methods: The effect of editing-pulse FA on the editing performance was examined, with numerical and phantom analyses, for bandwidths of 17.6-300 Hz in MEGA-PRESS editing of lactate at 3T. The FA and envelope of 46 ms Gaussian editing pulses were tailored to maximize the lactate edited signal at 1.3 ppm and minimize co-editing of threonine. The optimized editing-pulse FA MEGA scheme was tested in brain tumor patients., Results: Simulation and phantom data indicated that the optimum FA of MEGA editing pulses is progressively larger than 180° as the editing-pulse bandwidth decreases. For 46 ms long 17.6 Hz bandwidth Gaussian pulses and other given sequence parameters, the lactate edited signal was maximum at the first and second editing-pulse FAs of 241° and 249°, respectively. The edit-on and difference-edited lactate peak areas of the optimized FA MEGA were greater by 43% and 25% compared to the 180°-FA MEGA, respectively. In-vivo data confirmed the simulation and phantom results. The lesions of the brain tumor patients showed elevated lactate and physiological levels of threonine., Conclusion: The lactate MEGA editing yield is significantly increased with editing-pulse FA much larger than 180° when the editing-pulse bandwidth is comparable to the lactate quartet frequency width., (© 2023 International Society for Magnetic Resonance in Medicine.)

Published
2024
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