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2819 citation(s) found for "W, Liu".

Evaluation and Adaptation of a Laboratory-Based cDNA Library Preparation Protocol for Retrospective Sequencing of Archived MicroRNAs from up to 35-Year-Old Clinical FFPE Specimens
Loudig, Olivier , Ye, Kenny , Lin, Juan , Wang, Yihong , Ramnauth, Andrew, Stark, Azadeh , Chitale, Dhananjay , Greenlee, Robert T. , Multerer, Deborah, Honda, Stacey , Daida, Yihe G. , Glass, Andrew G., Rohan, Thomas E. , Ben‐Dov, Iddo Z. , Wang, Tao , Liu, Christina , Feigelson, Heather Spencer , Couch, Fergus J. , Wang, Yihong , Loudig, Olivier , Chitale, Dhananjay A

International Journal of Molecular Sciences | March 14, 2017 | Volume: 18 | Issue: 3 | Pages: 627

10.3390/ijms18030627 | PMID 28335433 Get It

Formalin-fixed paraffin-embedded (FFPE) specimens, when used in conjunction with patient clinical data history, represent an invaluable resource for molecular studies of cancer. Even though nucleic acids extracted from archived FFPE tissues are degraded, their molecular analysis has become possible. In this study, we optimized a laboratory-based next-generation sequencing barcoded cDNA library preparation protocol for analysis of small RNAs recovered from archived FFPE tissues. Using matched fresh and FFPE specimens, we evaluated the robustness and reproducibility of our optimized approach, as well as its applicability to archived clinical specimens stored for up to 35 years. We then evaluated this cDNA library preparation protocol by performing a miRNA expression analysis of archived breast ductal carcinoma in situ (DCIS) specimens, selected for their relation to the risk of subsequent breast cancer development and obtained from six different institutions. Our analyses identified six miRNAs (miR-29a, miR-221, miR-375, miR-184, miR-363, miR-455-5p) differentially expressed between DCIS lesions from women who subsequently developed an invasive breast cancer (cases) and women who did not develop invasive breast cancer within the same time interval (control). Our thorough evaluation and application of this laboratory-based miRNA sequencing analysis indicates that the preparation of small RNA cDNA libraries can reliably be performed on older, archived, clinically-classified specimens.
Lipocalin-2 Promotes Pancreatic Ductal Adenocarcinoma by Regulating Inflammation in the Tumor Microenvironment
Gomez-Chou, Sobeyda B., Świdnicka‐Siergiejko, Agnieszka , Badi, Niharika , Chavez-Tomar, Myrriah , Bekaii‐Saab, Tanios , Mace, Thomas A. , Schmidt, Carl , Liu, Yan , Deng, Defeng , Hwang, Rosa F. , Zhou, Liran , Moore, Todd T., Leng, Xiaohong , Arlinghaus, Ralph B., Logsdon, Craig D. , Cruz‐Monserrate, Zobeida , Lesinski, Gregory B , Farren, Matthew R. , Chatterjee, Deyali , Wang, Huamin , Bekaii-Saab, Tanios S

Cancer Research | March 1, 2017 | Volume: 77 | Issue: 10 | Pages: 2647-2660

10.1158/0008-5472.can-16-1986 | PMID 28249896 Get It

Abstract Lipocalin-2 (LCN2) promotes malignant development in many cancer types. LCN2 is upregulated in patients with pancreatic ductal adenocarcinoma (PDAC) and in obese individuals, but whether it contributes to PDAC development is unclear. In this study, we investigated the effects of Lcn2 depletion on diet-induced obesity, inflammation, and PDAC development. Mice with acinar cell–specific expression of KrasG12D were crossed with Lcn2-depleted animals and fed isocaloric diets with varying amounts of fat content. Pancreas were collected and analyzed for inflammation, pancreatic intraepithelial neoplasia (PanIN), and PDAC. We also used a syngeneic orthotopic PDAC mouse model to study tumor growth in the presence or absence of Lcn2 expression. In addition, to understand the mechanistic role of how LCN2 could be mediating PDAC, we studied LCN2 and its specific receptor solute carrier family 22 member 17 (SLC22A17) in human pancreatic cancer stellate cells (PSC), key mediators of the PDAC stroma. Depletion of Lcn2 diminished extracellular matrix deposition, immune cell infiltration, PanIN formation, and tumor growth. Notably, it also increased survival in both obesity-driven and syngeneic orthotopic PDAC mouse models. LCN2 modulated the secretion of proinflammatory cytokines in PSC of the PDAC tumor microenvironment, whereas downregulation of LCN2-specific receptor SLC22A17 blocked these effects. Our results reveal how LCN2 acts in the tumor microenvironment links obesity, inflammation, and PDAC development. Cancer Res; 77(10); 2647–60. ©2017 AACR
Abstract P6-12-04: Phase 1 study of the antibody-drug conjugate (ADC) SGN-LIV1A in patients with heavily pretreated metastatic breast cancer
Forero‐Torres, Andres , Specht, Jennifer M. , Weise, Amy, Burris, Howard A. , Liu, Ming, Krop, Ian E. , Mita, Monica , Modi, Shanu , Miller, Kathy D. , Pusztai, Lajos , Kostic, Aleksandar David , Li, Michael , Specht, Jennifer

Cancer Research | March 1, 2017 | Volume: 77 | Issue: 4_Supplement | Pages: P6-12-04-P6-12-04

10.1158/1538-7445.sabcs16-p6-12-04 Get It

Abstract Background LIV-1, a transmembrane protein and downstream target of STAT3, is highly expressed in breast cancer cells. It is associated with lymph node involvement and metastatic progression. SGN-LIV1A is an anti-LIV-1 antibody conjugated via a protease-cleavable linker to monomethyl auristatin E (MMAE). Upon binding to cell-surface LIV-1, SGN-LIV1A is internalized and releases MMAE, which binds to tubulin and induces G2/M arrest and apoptosis. Methods This is an ongoing, phase 1 dose-escalation study evaluating safety, tolerability, pharmacokinetics, and antitumor activity of SGN-LIV1A (q3 wks IV) in women with LIV-1-positive, unresectable, locally advanced or metastatic breast cancer (LA/MBC) (NCT01969643). Patients (pts) with measurable disease and ≥2 prior cytotoxic regimens for LA/MBC were eligible. Pts with ≥Grade 2 neuropathy were excluded. Response was assessed per RECIST v1.1; pts with stable disease (SD) or better could continue treatment until disease progression or intolerable toxicity. At completion of dose escalation in hormone receptor-positive/HER2-negative (HR+/HER2–) and triple-negative (TN) pts, expansion cohorts were opened to further evaluate safety and antitumor activity of monotherapy in TN pts and combination therapy with trastuzumab (Tz) in HER2-positive (HER2+) pts. Pre- and post-treatment tumor biopsies were done to evaluate LIV-1 expression and other correlative endpoints. Results To date, 39 pts (18 HR+/HER2–, 21 TN) have received a median of 3 cycles (range, 1–10) of SGN-LIV1A monotherapy at doses of 0.5–2.8 mg/kg. Median age was 57 yrs (range, 33–79). At baseline, pts had a median of 4 prior cytotoxic regimens for LA/MBC (range, 2–8); 36 had visceral disease and 25 had bone involvement. No dose-limiting toxicities (DLT) occurred in 19 DLT-evaluable pts; maximum tolerated dose was not exceeded at 2.8 mg/kg. Treatment-emergent adverse events (AEs) reported in ≥30% of pts were: fatigue (64%), nausea (54%), alopecia (46%), decreased appetite (41%), constipation (39%), neutropenia (33%), and vomiting (31%). Peripheral neuropathy was reported in 9 pts (23%). Most AEs were Grade 1/2, except neutropenia (all ≥Grade 3). Four pts discontinued treatment due to AEs (acute respiratory distress syndrome, nausea, pneumonia, tachycardia). In dose escalation, modest activity was observed in 17 efficacy evaluable (EE) HR+/HER2- pts, with a disease control rate (DCR) of 59% (10 SD), including 1 pt with SD≥24 wks. Among the 17 EE TN pts (dose escalation plus cohort expansion), the overall response rate (ORR) was 41% (7 PR), DCR was 82% (7 PR, 7 SD) and clinical benefit rate (CBR=OR+SD≥24 wks) was 53% (9 pts). For TN pts, median PFS was 17.1 wks (95% CI: 6.0, 18.4); 6 pts remain on treatment. Of 281 MBC tumor samples evaluated for LIV-1, 93% were positive; 81% had moderate-to-high expression (H-score ≥100). Conclusions LIV-1 is expressed in almost all MBC tumors. SGN-LIV1A monotherapy has been generally well tolerated and shown encouraging antitumor activity in heavily pretreated TN MBC, with a PR rate of 41% and a CBR at ≥24 wks of 53%. Response duration data continue to evolve. Enrollment continues in the TN monotherapy expansion cohort and the HER2+ combination cohort with Tz. Citation Format: Forero-Torres A, Modi S, Specht J, Miller K, Weise A, Burris III H, Liu M, Krop I, Pusztai L, Kostic A, Li M, Mita M. Phase 1 study of the antibody-drug conjugate (ADC) SGN-LIV1A in patients with heavily pretreated metastatic breast cancer [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P6-12-04.
Abstract P1-01-01: Circulating tumor cell number and CTC-endocrine therapy index predict clinical outcomes in ER positive metastatic breast cancer patients: Results of the COMETI Phase 2 trial
Regan, MM, Liu, MC, Marcom, P. Kelly, Hart, L., Smith, J., Tedesco, KL, Krop, IE, DeMichele, A., Goodwin, PJ, Block, M, Cannell, EM, Darga, EP, Baratta, PJ, Brown, ME, McCormack, R J, Hayes, DF, Paoletti, Costanza , Smith, JW, Amir, Eitan , Krop, Ian E. , Aung, KoKo

Cancer Research | March 1, 2017 | Volume: 77 | Issue: 4_Supplement | Pages: P1-01-01-P1-01-01

10.1158/1538-7445.sabcs16-p1-01-01 Get It

Abstract Introduction: Only half of hormone receptor positive (HR+) metastatic breast cancer (MBC) patients (pts) benefit from endocrine therapy (ET). Circulating tumor cells (CTC) are prognostic in pts with MBC using CellSearch® technology. The CTC-endocrine therapy index (CTC-ETI) provides semi-quantitative analyses of CTC-ER (estrogen receptor), BCL2, HER2, and Ki67 expression. We hypothesized that CTC-ETI high (elevated CTC number and/or low expression of ER and BCL2, and high expression of HER2 and Ki-67) might predict resistance to ET in a prospective, multi-institutional clinical trial: COMETI-P2-2012.0 (NCT01701050). Methods: 121 pts with ER+, HER2 negative (-), and progressive MBC after one or more lines of ET or within 12 months (mos) of completing adjuvant ET, who were initiating a new ET, were enrolled after informed consent. CTC and CTC-ETI were determined as previously reported (Paoletti C et al, CCR 2015) at baseline (BL), 1, 2, 3, and 12 mos, and/or at the time of progression. Imaging was performed every 3 mos. Association of CTC levels and CTC-ETI with patient outcomes (progression free survival (PFS); rapid progression (RP) defined as progression within 3 mos) was assessed using logrank and Fisher's exact tests. Trial design estimated 85 PFS and 51 RP events, providing >90% power (2-sided a=0.05); pts with unsuccessful BL CTC-ETI or ineligible were unevaluable. Only baseline (BL) data are reported in this abstract. Results: 32% of enrolled pts had progression within 12 mos of completing adjuvant ET, whereas 40%, 20%, and 8% had 1, 2, ≥3 lines of ET for MBC. CTC-ETI was successfully determined in 93% of pts (90% CI, 88% to 97%). CTC were ≥5 CTC/7.5 ml whole blood in 37/108 (34%) pts evaluable for clinical validity. Elevated CTC was associated with worse PFS (median (m) PFS: 3.3 vs. 5.9 mos; P<0.01). Low, intermediate, and high CTC-ETI were observed in 75 (69%), 6 (6%), and 27 (25%) pts, respectively. CTC-ETI was associated with PFS (logrank P<0.01): pts with low, intermediate, and high CTC-ETI had mPFS of 5.7, 8.5, and 2.8 mos, respectively. In the 96 pts eligible for determination, elevated CTC was associated with RP, (65.6% vs. 42.2%; P=0.05) as was CTC-ETI (P=0.003): 79.2% (95% CI, 57.8% to 92.9%) of pts with high CTC-ETI had RP versus 41.2% (95% CI, 29.4% to 53.8%) with low CTC-ETI; in the small group with intermediate CTC-ETI 1 of 4 pts (25%) had RP. Conclusions: In this multi-institutional, prospective study, CTC-ETI was accurately determined, confirming the previously established analytical validity of the assay, meeting the primary objective of the trial. Elevated CTC and CTC-ETI high compared to low were associated with poor outcomes to ET. CTC-ETI distribution resulted in a small number of patients assigned to the intermediate group, restricting our ability to associate this group with outcomes. These results suggest that CTC-biomarker phenotype and enumeration have clinical validity. CTC-ETI may identify ER+ HER2– MBC pts who are unlikely to benefit from ET and might be better treated with ET in combination with other therapies or proceed to chemotherapy. Further analyses including CTC-ETI at serial time points during ET are planned. Citation Format: Paoletti C, Regan MM, Liu MC, Marcom PK, Hart LL, Smith II JW, Tedesco KL, Amir E, Krop IE, DeMichele AM, Goodwin PJ, Block M, Aung K, Cannell EM, Darga EP, Baratta PJ, Brown ME, McCormack RT, Hayes DF. Circulating tumor cell number and CTC-endocrine therapy index predict clinical outcomes in ER positive metastatic breast cancer patients: Results of the COMETI Phase 2 trial [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-01-01.
Perturbation of water‐equivalent thickness as a surrogate for respiratory motion in proton therapy
Matney, J, Park, Peter C., Court, Laurence E. , Zhu, X. Ron, Dong, Lei , Li, Heng , Liu, Wei , Mohan, Radhe

Journal of Applied Clinical Medical Physics | February 28, 2017 | Volume: 17 | Issue: 2 | Pages: 368-378

10.1120/jacmp.v17i2.5795 | PMID 27074459 Get It

Respiratory motion is traditionally assessed using tumor motion magnitude. In proton therapy, respiratory motion causes density variations along the beam path that result in uncertainties of proton range. This work has investigated the use of water‐equivalent thickness (WET) to quantitatively assess the effects of respiratory motion on calculated dose in passively scattered proton therapy (PSPT). A cohort of 29 locally advanced non‐small cell lung cancer patients treated with 87 PSPT treatment fields were selected for analysis. The variation in WET (ΔWET) along each field was calculated between exhale and inhale phases of the simulation four‐dimensional computed tomography. The change in calculated dose (ΔDose) between full‐inhale and full‐exhale phase was quantified for each field using dose differences, 3D gamma analysis, and differential area under the curve (ΔAUC) analysis. Pearson correlation coefficients were calculated between ΔDose and ΔWET. Three PSPT plans were redesigned using field angles to minimize variations in ΔWET and compared to the original plans. The median ΔWET over 87 treatment fields ranged from 1‐9 mm, while the ΔWET 95th percentile value ranged up to 42 mm. The ΔWET was significantly correlated to the ΔDose for all metrics analyzed. The patient plans that were redesigned using ΔWET analysis to select field angles were more robust to the effects of respiratory motion, as ΔAUC values were reduced by more than 60% in all three cases. The tumor motion magnitude alone does not capture the potential dosimetric error due to respiratory motion because the proton range is sensitive to the motion of all patient anatomy. The use of ΔWET has been demonstrated to identify situations where respiratory motion can impact the calculated dose. Angular analysis of ΔWET may be capable of designing radiotherapy plans that are more robust to the effects of respiratory motion.PACS number(s): 87.55.‐x
Evaluation of the systematic error in using 3D dose calculation in scanning beam proton therapy for lung cancer
Liu, Wei , Matney, J, Zhang, Xiaodong , Li, Yupeng , Zhu, Ronald X., Li, Heng , Park, Peter, Liao, Zhongxing , Chang, Joe Y. , Li, Yupeng, Liu, Wei

Journal of Applied Clinical Medical Physics | February 27, 2017 | Volume: 15 | Issue: 5 | Pages: 47-56

10.1120/jacmp.v15i5.4810 | PMID 25207565 Get It

The objective of this study was to evaluate and understand the systematic error between the planned three‐dimensional (3D) dose and the delivered dose to patient in scanning beam proton therapy for lung tumors. Single‐field and multifield optimized scanning beam proton therapy plans were generated for ten patients with stage II‐III lung cancer with a mix of tumor motion and size. 3D doses in CT datasets for different respiratory phases and the time‐weighted average CT, as well as the four‐dimensional (4D) doses were computed for both plans. The 3D and 4D dose differences for the targets and different organs at risk were compared using dose‐volume histogram (DVH) and voxel‐based techniques, and correlated with the extent of tumor motion. The gross tumor volume (GTV) dose was maintained in all 3D and 4D doses, using the internal GTV override technique. The DVH and voxel‐based techniques are highly correlated. The mean dose error and the standard deviation of dose error for all target volumes were both less than 1.5% for all but one patient. However, the point dose difference between the 3D and 4D doses was up to 6% for the GTV and greater than 10% for the clinical and planning target volumes. Changes in the 4D and 3D doses were not correlated with tumor motion. The planning technique (single‐field or multifield optimized) did not affect the observed systematic error. In conclusion, the dose error in 3D dose calculation varies from patient to patient and does not correlate with lung tumor motion. Therefore, patient‐specific evaluation of the 4D dose is important for scanning beam proton therapy for lung tumors.PACS number: 87.55.D
Lung tumor motion change during stereotactic body radiotherapy (SBRT): an evaluation using MRI
Saito, Anneyuko I. , Olivier, Kenneth R. , Li, Jonathan G. , Liu, Chihray, Newlin, Heather E., Schmalfuss, Ilona M. , Kyogoku, Shinsuke , Dempsey, James F.

Journal of Applied Clinical Medical Physics | February 27, 2017 | Volume: 15 | Issue: 3 | Pages: 25-31

10.1120/jacmp.v15i3.4434 | PMID 24892328 Get It

The purpose of this study is to investigate changes in lung tumor internal target volume during stereotactic body radiotherapy treatment (SBRT) using magnetic resonance imaging (MRI). Ten lung cancer patients (13 tumors) undergoing SBRT (48 Gy over four consecutive days) were evaluated. Each patient underwent three lung MRI evaluations: before SBRT (MRI‐1), after fraction 3 of SBRT (MRI‐3), and three months after completion of SBRT (MRI‐3m). Each MRI consisted of T1‐weighted images in axial plane through the entire lung. A cone‐beam CT (CBCT) was taken before each fraction. On MRI and CBCT taken before fractions 1 and 3, gross tumor volume (GTV) was contoured and differences between the two volumes were compared. Median tumor size on CBCT before fractions 1 (CBCT‐1) and 3 (CBCT‐3) was 8.68 and 11.10 cm3, respectively. In 12 tumors, the GTV was larger on CBCT‐3 compared to CBCT‐1 (median enlargement, 1.56 cm3). Median tumor size on MRI‐1, MRI‐3, and MRI‐3m was 7.91, 11.60, and 3.33 cm3, respectively. In all patients, the GTV was larger on MRI‐3 compared to MRI‐1 (median enlargement, 1.54 cm3). In all patients, GTV was smaller on MRI‐3m compared to MRI‐1 (median shrinkage, 5.44 cm3). On CBCT and MRI, all patients showed enlargement of the GTV during the treatment week of SBRT, except for one patient who showed minimal shrinkage (0.86 cm3). Changes in tumor volume are unpredictable; therefore, motion and breathing must be taken into account during treatment planning, and image‐guided methods should be used, when treating with large fraction sizes.PACS number: 87.53.Ly
Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases
Haycock, Philip , Burgess, Stephen , Nounu, Aayah , Zheng, Jie , Okoli, George N. , Wade, Kaitlin H. , Timpson, Nicholas J. , Evans, David M. , Willeit, Peter , Aviv, Abraham , Gaunt, Tom R. , Hemani, Gibran , Mangino, Massimo , Ellis, Hayley, Kurian, Kathreena M. , Pooley, Karen A. , Eeles, Rosalind A. , Lee, Jeffrey E. , Fang, Shenying , Chen, Wei V., Law, Matthew H. , Bowdler, Lisa, Iles, Mark M. , Worrall, Bradford B. , Markus, Hugh S. , Hung, Rayjean J., Amos, Chris, Thompson, Deborah J. , O’Mara, Tracy A. , Wolpin, Brian M. , Ámundadóttir, Laufey T. , Trichopoulou, Antonia , Onland‐Moret, N. Charlotte , Lund, Eiliv , Canzian, Federico , Severi, Gianluca , Overvad, Kim , Gunter, Marc J. , ­Tumino, ­Rosario , Svenson, Ulrika, Rij, André van, Baas, Annette F., Bown, Matthew J. , Samani, Nilesh J. , t’Hof, Femke N.G. van, Tromp, Gerard , Jones, Gregory T. , Kuivaniemi, Helena , Elmore, James R. , Johansson, Mattias , McKay, James , Scélo, Ghislaine , Carreras‐Torres, Robert , Gaborieau, Valérie , Brennan, Paul , Bracci, Paige M. , Olson, Sara H. , Gallinger, Steven , Li, Donghui , Petersen, Gloria M. , Han, Jiali , Abnet, Christian C. , Freedman, Neal D. , Aben, Katja K.H. , Kiemeney, Lambertus A. , Vermeulen, Sita H. , Walsh, Kyle M. , Wrensch, Margaret , Rice, Terri, Turnbull, Clare , Litchfield, Kevin , Paternoster, Lavinia , Standl, Marie , Mijatovic, Vladan, Sapkota, Yadav , Zondervan, Krina T. , Nyholt, Dale R. , Heel, David A. van , Arking, Dan E. , Ashar, Foram N., Sotoodehnia, Nona, Woo, Daniel , Comeau, Mary E. , Brown, W. Mark , Silverman, Edwin K. , Hokanson, John E. , Hui, Jennie , Thompson, Philip J. , Morrison, Alanna C. , Smith, Nicholas L. , Christiano, Angela M. , Petukhova, Lynn , Betz, Regina C. , Zhang, Xuejun, Zhu, Caihong, Langefeld, Carl D. , Thompson, Susan D. , Wang, Feijie , Fingerlin, Tasha E. , Rotter, Jerome I. , Cotch, Mary Frances , Jensen, Richard A., Munz, Matthias , Dommisch, Henrik , Schäefer, Arne S. , Ollila, Hanna M. , Hillary, Ryan P. , Zeng, Chenjie , Zheng, Wei , Shu, Xiao-Ou , Reis, André , Uebe, Steffen , Hüffmeier, Ulrike , Kawamura, Yoshiya, Otowa, Takeshi , Sasaki, Tsukasa, Dávila, Sonia , Siminovitch, Katherine A. , Bei, Jin‐Xin , Zeng, Yi‐Xin , Chen, Bowang , Franke, Andre, Fischer, Annegret, Ellinghaus, David , Flores, Carlos , Noth, Imre , Ma, Shwu‐Fan , Foo, Jia Nee , Liu, Jianjun , Cox, David G. , Delattre, Olivier , Mirabeau, Olivier , Skibola, Christine F., Tang, Clara Sze-Man , Garcia-Barceló, Mercè, Su, Wen-Hui , Chang, Yu‐Sun , Wade, Tracey , Lee, Chaeyoung , Kubo, Michiaki , Cha, Pei-Chieng , Nakamura, Yusuke, Levy, Daniel , Hunt, S. E., Spector, Tim D. , Soranzo, Nicole , Barr, R. Graham, Kahali, Bratati , Speliotes, Elizabeth K. , Yerges-Armstrong, Laura M. , Cheng, Ching‐Yu , Wong, Tien Yin , Fogh, Isabella , Powell, John , Rice, Kenneth , Relton, Caroline L. , Martin, Richard M. , Smith, George Davey , Hung, Rayjean J. , Bowden, Jack , Yang, Qiong , Spurdle, Amanda B. , Stolzenberg‐Solomon, Rachael Z. , Duell, Eric J. , Neale, Rachel Ε. , Risch, Harvey A. , Klein, Alison P. , Taylor, Philip R. , Maris, John M. , Wiencke, John K. , Abecasis, Gonçalo R. , SanGiovanni, John Paul , Li, Yong , Low, Siew‐Kee , Montgomery, Grant W. , Hunt, Karen A. , Rosand, Jonathan M. , Cho, Michael H. , Ferreira, Manuel A. R. , Felix, Janine F. , Fan, Xing Hua , Xu, Lin , Schwartz, David A. , Han, Fang , Albagha, Omar , Ralston, Stuart H. , Sasaki, Tsukasa, Hibberd, Martin Lloyd , Xie, Gang , Försti, Asta , Landi, Stefano , Ellinghaus, David , Kim, Jong‐Won , Chang, Kai‐Ping , Martin, Nicholas G. , Gordon, Scott D. , Kimura, Masayuki , Hwang, Shih‐Jen , Manichaikul, Ani , Barr, R. Graham, Jonas, Jost B , Lin, Kuang , Amundadottir, Laufey , Kiemeney, Lambertus A , Eeles, Rosalind A , van Heel, David A , Gunter, Marc J , Canzian, Federico , Hung, Rayjean J , O'Mara, Tracy A , Abnet, Christian C , Haycock, Philip , Tumino, Rosario , Han, Jiali , Martin, Richard M , Severi, Gianluca , Reis, André , Zheng, Wei , Rotter, Jerome I , Carreras-Torres, Robert , Law, Matthew H , Davey Smith, George , Johansson, Mattias , Iles, Mark M , Morrison, Alanna C , Rice, Ken , Freedman, Neal D , Foo, Jia Nee , Levy, Daniel , Rice, Kenneth , Sapkota, Yadav , Wong, Tien Y , Liu, Jing

JAMA Oncology | February 27, 2017 | Volume: 3 | Issue: 5 | Pages: 636

10.1001/jamaoncol.2016.5945 | PMID 28241208 Get It

Author response: Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation
Lafon, Belen , Friedman, D. B. , Wang, Xiuyuan , Bikson, Marom , Doyle, Werner , Parra, Lucas C. , Huang, Yu , Liu, Anli , Dayan, Michael J. , Devinsky, Orrin

No container title available | February 27, 2017 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.7554/elife.18834.017 Get It

Characterization of immune-related adverse events (irAEs) in a phase 3 trial of ipilimumab (Ipi) versus placebo (Pbo) in post-docetaxel mCRPC.
Gerritsen, Winald R. , Kwon, Eugene D., Scher, Howard I. , Bossi, Alberto, Eertwegh, Alfons J. van den, Drake, Charles G. , McHenry, Brent, Fizazi, Karim , Beer, Tomasz M. , Logothetis, Christopher J. , Liu, David

Journal of Clinical Oncology | February 24, 2017 | Volume: 32 | Issue: 4_suppl | Pages: 52-52

10.1200/jco.2014.32.4_suppl.52 Get It

52 Background: Ipi enhances antitumor immunity by blocking cytotoxic T-lymphocyte antigen-4. We recently reported the results of CA184-043, a phase 3 study of post-docetaxel mCRPC with Ipi vs Pbo, following single-dose radiotherapy (RT). While the study did not meet the primary endpoint of improving overall survival (HR=0.85, p=0.053), Ipi demonstrated antitumor activity in other efficacy endpoints, including progression-free survival. The present analyses further characterize the safety profile of Ipi in this study. Methods: Safety was evaluated for all treated patients (pts; N=393 for Ipi 10 mg/kg, N=396 for Pbo) starting from first study dose and ending 70 days after the last study dose, including maintenance dosing. Results: Any grade (Gr) irAEs occurred in 63.4% and 21.7% of pts in the Ipi and Pbo arms, respectively. Most common Gr 3/4 irAEs were gastrointestinal (GI) (18.1%; mostly diarrhea and colitis). Gr 3/4 liver irAEs (4.6%) were mostly elevations in AST or ALT. Other Gr 3/4 irAEs were uncommon: endocrine (2.0%), skin (1.0%), and neurological (0.3%). Among Ipi-treated pts, there were no meaningful differences in the frequency or severity of GI AEs between those who received baseline pelvic RT and those who did not (n=141 vs 252; any Gr 77.3% vs 69.8%; Gr 3/4 25.5% vs 21.8%, respectively). There were 5 GI perforations in the Ipi arm (3 within 70 days of last dose [2 related, 1 unrelated], 2 after 70 days of last dose, both related), and none in the Pbo arm. Deaths due to study drug toxicity, as per the investigators, occurred in 4 pts (4, Ipi and 0, Pbo). Conclusions: In this study of Ipi in mCRPC, the most frequent severe irAEs were diarrhea and colitis. Most irAEs were manageable using established treatment algorithms. Clinical trial information: NCT00861614. [Table: see text]