Jay-Jiguang Zhu
Memorial Hermann Healthcare System
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Publication
Featured researches published by Jay-Jiguang Zhu.
Frontiers in Oncology | 2018
Soheil Zorofchian; Guangrong Lu; Jay-Jiguang Zhu; Dzifa Y. Duose; Justin Windham; Yoshua Esquenazi; Leomar Y. Ballester
Primary Central Nervous System Lymphoma (PCNSL) and Metastatic (or Secondary) Central Nervous System Lymphoma (MCNSL) are rare central nervous system (CNS) malignancies that exhibit aggressive clinical behavior and have a poor prognosis. The majority of CNS lymphomas are histologically classified as diffuse large-B cell lymphoma (DLBCL). DLBCL harbors a high frequency of mutations in MYD88 and CD79b. The MYD88 p.L265P mutation occurs at high frequency in CNS lymphoma and is extremely rare in non-hematologic malignancies. Currently, brain biopsy is considered the gold standard for CNS lymphoma diagnosis. However, brain biopsy is invasive, carries a risk of complications, and can delay initiation of systemic therapy. Circulating tumor DNA (ctDNA) in the cerebrospinal fluid (CSF) can be utilized to detect tumor-derived mutations. Testing of CSF-ctDNA is a minimally-invasive methodology that can be used to assess the genomic alterations present in CNS malignancies. We present a case of an 82-year-old man with a history of testicular lymphoma who presented with speech difficulty and a multifocal enhancing left inferior frontal mass. Analysis for both CSF-cytology and flow cytometry did not show evidence of neoplastic cells. A brain biopsy was performed and microscopic examination showed DLBCL. We isolated CSF-ctDNA and used droplet digital PCR (ddPCR) to detect the most common lymphoma-associated mutations in MYD88, L265P, and V217F. In conjunction, we evaluated the patient-matched CNS lymphoma tissue for MYD88 mutations. We detected the MYD88 p.L265P mutation in formalin fixed paraffin embedded (FFPE) tissue from the brain biopsy and the CSF-ctDNA. In contrast, both the tumor tissue and the CSF ctDNA were negative for the MYD88 p.V217F mutation. This study shows that testing CSF ctDNA for MYD88 mutations is a potentially minimally-invasive approach to diagnosing patients with suspected CNS lymphomas.
Acta neuropathologica communications | 2018
Leomar Y. Ballester; Guangrong Lu; Soheil Zorofchian; Venkatrao Vantaku; Vasanta Putluri; Yuanqing Yan; Octavio Arevalo; Ping Zhu; Roy F. Riascos; Arun Sreekumar; Yoshua Esquenazi; Nagireddy Putluri; Jay-Jiguang Zhu
Cancer cells have altered cellular metabolism. Mutations in genes associated with key metabolic pathways (e.g., isocitrate dehydrogenase 1 and 2, IDH1/IDH2) are important drivers of cancer, including central nervous system (CNS) tumors. Therefore, we hypothesized that the abnormal metabolic state of CNS cancer cells leads to abnormal levels of metabolites in the CSF, and different CNS cancer types are associated with specific changes in the levels of CSF metabolites. To test this hypothesis, we used mass spectrometry to analyze 129 distinct metabolites in CSF samples from patients without a history of cancer (n = 8) and with a variety of CNS tumor types (n = 23) (i.e., glioma IDH-mutant, glioma-IDH wildtype, metastatic lung cancer and metastatic breast cancer). Unsupervised hierarchical clustering analysis shows tumor-specific metabolic signatures that facilitate differentiation of tumor type from CSF analysis. We identified differences in the abundance of 43 metabolites between CSF from control patients and the CSF of patients with primary or metastatic CNS tumors. Pathway analysis revealed alterations in various metabolic pathways (e.g., glycine, choline and methionine degradation, dipthamide biosynthesis and glycolysis pathways, among others) between IDH-mutant and IDH-wildtype gliomas. Moreover, patients with IDH-mutant gliomas demonstrated higher levels of D-2-hydroxyglutarate in the CSF, in comparison to patients with other tumor types, or controls. This study demonstrates that analysis of CSF metabolites can be a clinically useful tool for diagnosing and monitoring patients with primary or metastatic CNS tumors.
JAMA | 2017
Roger Stupp; Sophie Taillibert; Andrew A. Kanner; William L. Read; David M. Steinberg; Benoit Lhermitte; Steven A. Toms; Ahmed Idbaih; Manmeet S. Ahluwalia; Karen Fink; Francesco Di Meco; Frank S. Lieberman; Jay-Jiguang Zhu; Giuseppe Stragliotto; David D. Tran; Steven Brem; Andreas F. Hottinger; Eilon D. Kirson; Gitit Lavy-Shahaf; Uri Weinberg; Chae-Yong Kim; Sun-Ha Paek; Garth Nicholas; Jordi Burna; Hal Hirte; Michael Weller; Yoram Palti; Monika E. Hegi; Zvi Ram
Journal of Clinical Oncology | 2014
Patrick Y. Wen; David A. Reardon; Surasak Phuphanich; Robert Aiken; Joseph Landolfi; William T. Curry; Jay-Jiguang Zhu; Michael J. Glantz; David M. Peereboom; James M. Markert; Renato V. LaRocca; Donald M. O'Rourke; Karen Fink; Lyndon Kim; Michael L. Gruber; Glenn J. Lesser; Edward Pan; Santosh Kesari; Elma S. Hawkins; John S. Yu
Journal of Clinical Oncology | 2015
Roger Stupp; Sophie Taillibert; Andrew A. Kanner; Santosh Kesari; Steven A. Toms; Gene H. Barnett; Karen Fink; A. Silvani; Frank S. Lieberman; Jay-Jiguang Zhu; Lynne P. Taylor; Jérôme Honnorat; Andreas F. Hottinger; Thomas C. Chen; David D. Tran; Chae-Yong Kim; Hal Hirte; Monika E. Hegi; Yoram Palti; Zvi Ram
Journal of Clinical Oncology | 2014
Eric T. Wong; Herbert H. Engelhard; David D. Tran; Yvonne Kew; Maciej M. Mrugala; Robert Cavaliere; John L. Villano; Daniela A. Bota; Jeremy Rudnick; Ashley Sumrall; Jay-Jiguang Zhu
Canadian Journal of Neurological Sciences | 2018
Ping Zhu; Xianglin L. Du; Yoshua Esquenazi; Jay-Jiguang Zhu
Annals of Clinical and Laboratory Science | 2018
Hanadi El Achi; Jason E. Lally; Roy F. Riascos; Jay-Jiguang Zhu; Nitin Tandon; Yoshua Esquenazi; Meenakshi B. Bhattacharjee; Leomar Y. Ballester
Neurology | 2017
Jay-Jiguang Zhu; Guangrong Lu; Mayank Rao; Ping Zhu
Neuro-oncology | 2017
Guangrong Lu; Ping Zhu; Rong Shao; Jay-Jiguang Zhu