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Champion, Mia D.

Mayo Clinic

Mayo Clinic in Arizona

Citations 16

Abstract 4694: Indices of actionability and clinical utility in a CLIA-enabled study of whole genome/exome/RNA sequencing in 33 cancer patients: Actionable vs. utility
Egan, Jan B. , Champion, Mia D., McCullough, Ann E. , Barrett, Michael T. , Hunt, Katherine S., Condjella, Rachel, Mastrian, Stephen D., LoBello, Janine , Hoff, Daniel D. Von , Craig, David W. , Stewart, A. Keith , Carpten, John D. , Bryce, Alan H. , Liang, Winnie S. , Fonseca, Rafaël , McWilliams, Robert R. , Borad, Mitesh J.

Cancer Research | May 1, 2015 | Volume: 74 | Issue: 19_Supplement | Pages: 4694-4694

10.1158/1538-7445.am2014-4694 Get It

Abstract Background: Whole genome/exome/RNA sequencing has revolutionized the ability to assess the genomic landscape of cancer and is increasingly being utilized for clinical decision-making. Initial clinical applications have been constrained by specimen quantity, analyte quality and the time from sample acquisition to results report. Methods: Patients with advanced cancers underwent surgical resection, excisional/core biopsies, or bone marrow biopsy. Samples were analyzed by whole genome or exome sequencing in addition to RNA sequencing, bioinformatics analysis, and therapeutic target prioritization by a multi-disciplinary Clinical Genomics Board. All prioritized targets were CLIA validated using Sanger sequencing, RT-qPCR, FISH, or IHC as appropriate. Treatment was delivered using off-label FDA approved drugs, clinical trials, or single patient INDs. Results: We have enrolled 40 patients for whom sequencing data is available on 33. The initial 6 patients were evaluated in a non-CLIA pilot phase and 27 in a CLIA-enabled phase. Tumor types in the CLIA-enabled phase with the highest enrollment were pancreatic cancer (n=8) and cholangiocarcinoma (n=8). We sought to quantify the targets identified along with clinical benefit, defining these as the “Actionable Index” (AI) (proportion of patients with ≥ 1 putative drug target) and “Utility Index” (UI) (proportion of patients who derive clinical benefit). Putative therapeutic targets were identified in 7/8 (AI=0.88) cholangiocarcinoma (CC) patients and in 5/8 (AI=0.63) pancreatic cancer (PC) patients. All 3 CC patients who received target directed treatment achieved a partial response (UI=0.38). In contrast, none of the 4 PC patients who received target directed therapy had treatment response (UI=0.0). Interestingly no actionable targets were identified in 1 CC and in 2 PCs. One CC with an identified target was unable to access the drug and subsequently died. A CC patient and a PC patient, each with identified targets, expired prior to the initiation of therapy. Conclusions: While whole genome/exome/RNA sequencing is providing unparalleled detail of tumor genomes, the application to the clinic must be carefully considered. Actionability of targets will eventually need to be defined in close relation to eventual clinical utility and appropriate refinements to disease-gene-drug databases implemented. Preliminary observations in pancreatic cancer and cholangiocarcinoma demonstrate disparity in correlation between utility indices and actionable indices. Application of these tools in larger cohorts and types of tumors will need to be conducted to ascertain more precise estimates. Additional measures that are organ-site agnostic but pertain to specific targets (e.g. BRAF) will also need to be developed in order to facilitate more judicious application of sequencing in the clinical setting. Citation Format: Jan B. Egan, Alan H. Bryce, Mia D. Champion, Winnie S. Liang, Rafael Fonseca, Ann E. McCullough, Michael T. Barrett, Katherine Hunt, Rachel M. Condjella, Robert R. McWilliams, Stephen D. Mastrian, Janine LoBello, Daniel Von Hoff, David W. Craig, A. Keith Stewart, John D. Carpten, Mitesh J. Borad. Indices of actionability and clinical utility in a CLIA-enabled study of whole genome/exome/RNA sequencing in 33 cancer patients: Actionable vs. utility. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4694. doi:10.1158/1538-7445.AM2014-4694
Bioinformatics Strategies for Identifying Regions of Epigenetic Deregulation Associated with Aberrant Transcript Splicing and RNA-editing
Champion, Mia D., Hlady, Ryan A. , Yan, Huihuang , Evans, Jared M., Nie, Jeff, Nandakumar, Kannabiran, Davila, Jaime , Moore, Raymond M. , Nair, Asha, Zhu, Yuanxiao, Ördög, Tamás , Kocher, Jean-Pierre A., Jonasch, Eric, Tibes, Raoul , Lee, Jeong‐Heon , Bogenberger, James M. , O’Brien, Daniel J. , Kortüm, K. Martin , Zhang, Zhiguo , Joseph, Richard W. , Jonasch, Eric W. , Robertson, Keith D. , Ho, Thai H. , Davila, Jaime I

Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms | February 2, 2015 | Volume: No volume available | Issue: No issue available | Pages: 163-170

10.5220/0005248001630170 Get It

IL‐33 facilitates oncogene‐induced cholangiocarcinoma in mice by an interleukin‐6‐sensitive mechanism
Razumilava, Nataliya , Bronk, Steven F., Davila, Jaime , Champion, Mia D., Bezerra, Jorge A. , Chen, Xin , Yamada, Daisaku, Yamada, Daisaku , Ilyas, Sumera I. , Borad, Mitesh J. , Gores, Gregory J. , Davila, Jaime I

Hepatology | January 7, 2015 | Volume: 61 | Issue: 5 | Pages: 1627-1642

10.1002/hep.27687 Get It

Cholangiocarcinoma (CCA) is a lethal hepatobiliary neoplasm originating from the biliary apparatus. In humans, CCA risk factors include hepatobiliary inflammation and fibrosis. The recently identified interleukin (IL)−1 family member, IL‐33, has been shown to be a biliary mitogen which also promotes liver inflammation and fibrosis. Our aim was to generate a mouse model of CCA mimicking the human disease. Ectopic oncogene expression in the biliary tract was accomplished by the Sleeping Beauty transposon transfection system with transduction of constitutively active AKT (myr‐AKT) and Yes‐associated protein. Intrabiliary instillation of the transposon–transposase complex was coupled with lobar bile duct ligation in C57BL/6 mice, followed by administration of IL‐33 for 3 consecutive days. Tumors developed in 72% of the male mice receiving both oncogenes plus IL‐33 by 10 weeks but in only 20% of the male mice transduced with the oncogenes alone. Tumors expressed SOX9 and pancytokeratin (features of CCA) but were negative for HepPar1 (a marker of hepatocellular carcinoma). Substantive overlap with human CCA specimens was revealed by RNA profiling. Not only did IL‐33 induce IL‐6 expression by human cholangiocytes but it likely facilitated tumor development in vivo by an IL‐6–sensitive process as tumor development was significantly attenuated in Il‐6–/– male animals. Furthermore, tumor formation occurred at a similar rate when IL‐6 was substituted for IL‐33 in this model. Conclusion: The transposase‐mediated transduction of constitutively active AKT and Yes‐associated protein in the biliary epithelium coupled with lobar obstruction and IL‐33 administration results in the development of CCA with morphological and biochemical features of the human disease; this model highlights the role of inflammatory cytokines in CCA oncogenesis. (Hepatology 2015;61:1627–1642)
RNA interference screening identifies lenalidomide sensitizers in multiple myeloma, including RSK2
Zhu, Yuan Xiao , Yin, Hongwei , Bruins, Laura A., Shi, Chang-Xin, Jedlowski, Patrick , Aziz, Meraj , Sereduk, Chris , Kortuem, K. Martin, Schmidt, Jessica, Champion, Mia D., Braggio, Esteban , Stewart, A. Keith, Kortuem, Klaus Martin, Schmidt, Jessica E, Champion, Mia, Braggio, Esteban

Blood | November 14, 2014 | Volume: 125 | Issue: 3 | Pages: 483-491

10.1182/blood-2014-05-577130 Get It

Key Points High-throughput RNAi screening identified lenalidomide sensitizer genes, including RSK2, RAB, peroxisome, and potassium channel family members. Knockdown or inhibition of RSK2 synergized with lenalidomide to induce myeloma cytotoxicity and downregulation of interferon regulatory factor 4 and MYC.
Targeted sequencing using a 47 gene multiple myeloma mutation panel (M3P) in ‐17p high risk disease
Langer, Christian , Monge, Jorge , Bruins, Laura A., Egan, Jan B. , Zhu, Yuan Xiao , Jedlowski, Patrick , Schmidt, Jessica, Ojha, Juhi, Bullinger, Lars , Liebisch, Peter, Kull, Miriam, Champion, Mia D., Wier, Scott Van, Ahmann, Gregory , Rasche, Leo , Knop, Stefan , Stewart, A. Keith, Braggio, Esteban , Kortüm, Klaus M, Kortüm, K. Martin , Chang, Shi , Fonseca, Rafaël , Einsele, Hermann , Braggio, Esteban

British Journal of Haematology | October 10, 2014 | Volume: 168 | Issue: 4 | Pages: 507-510

10.1111/bjh.13171 Get It

SummaryWe constructed a multiple myeloma (MM)‐specific gene panel for targeted sequencing and investigated 72 untreated high‐risk (del17p) MM patients. Mutations were identified in 78% of the patients. While the majority of studied genes were mutated at similar frequency to published literature, the prevalence of TP53 mutation was increased (28%) and no mutations were found in FAM46C. This study provides a comprehensive insight into the mutational landscape of del17p high‐risk MM. Additionally, our work demonstrates the practical use of a customized sequencing panel, as an easy, cheap and fast approach to characterize the mutational profile of MM.
Identification of cereblon-binding proteins and relationship with response and survival after IMiDs in multiple myeloma
Zhu, Yuan Xiao , Braggio, Esteban , Shi, Chang-Xin, Kortuem, K. Martin, Bruins, Laura A., Schmidt, Jessica, Chang, Xiu-Bao, Langlais, Paul R. , Luo, Moulun , Jedlowski, Patrick , LaPlant, Betsy, Laumann, Kristina, Bergsagel, P. Leif , Lacy, Martha Q. , Champion, Mia D., Stewart, A. Keith, Bergsagel, P. Leif , Langlais, Paul, Lacy, Martha, Fonseca, Rafaël , Mıkhael, Joseph , Braggio, Esteban

Blood | June 10, 2014 | Volume: 124 | Issue: 4 | Pages: 536-545

10.1182/blood-2014-02-557819 Get It

Key PointsWe identified CRBN-binding proteins and confirmed recent work implicating the Ikaros transcription factors as important members. Low IZKF1 levels predict lack of IMiD responsiveness and shorter OS; IZKF1 expression is a potential predictive biomarker for clinic application.