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Kidney Tumor Classifier Using Whole Genome Methylation Array [Meeting Abstract]
Park, Kyung; Serrano, Jonathan; Chen, Fei; Tran, Ivy; Vasudevaraja, Varshini; Hoskoppal, Deepthi; Deng, Fang-Ming; Snuderl, Matija
ISI:000770360201236
ISSN: 0023-6837
CID: 5243212
Dissecting genomic heterogeneity in glioblastoma by spatial transcriptomic profiling [Meeting Abstract]
Galbraith, Kristyn; Tran, Ivy; Vasudevaraja, Varshini; Zhu, Kelsey; Mezzano, Valeria; Ward, Gyles; Ramaswami, Sitharam; Zeck, Briana; Chiriboga, Luis; Gao, Chengzhuo; Snuderl, Matija
ISI:000798368400051
ISSN: 0022-3069
CID: 5244302
DNA Methylation Profiling Identifies Epigenetic Subclasses of Focal Cortical Dysplasia In Treatment-Resistant Epilepsy [Meeting Abstract]
Movahed-Ezazi, Misha; Vasudeyaraja, Varshini; Tran, Ivy; Dastagirzada, Yosef; Pelorosso, Cristiana; Conti, Valerio; Guerrini, Renzo; Buccoliero, Anna Maria; Friedman, Daniel; Devinsky, Orrin; Hidalgo, Eveline; Snuderl, Matija
ISI:000798368400021
ISSN: 0022-3069
CID: 5244292
Tubulopapillary Carcinoma of the Breast: A Distinct Morphologic Entity with Molecular and Immunohistochemical Analysis [Meeting Abstract]
Salama, Abeer; Schwartz, Christopher; Zhu, Kelsey; Vasudevaraja, Varshini; Serrano, Jonathan; Jour, George; Park, Kyung; Snuderl, Matija; Cotzia, Paolo; Darvishian, Farbod
ISI:000770361800173
ISSN: 0893-3952
CID: 5243282
Kidney Tumor Classifier Using Whole Genome Methylation Array [Meeting Abstract]
Park, Kyung; Serrano, Jonathan; Chen, Fei; Tran, Ivy; Vasudevaraja, Varshini; Hoskoppal, Deepthi; Deng, Fang-Ming; Snuderl, Matija
ISI:000770361801236
ISSN: 0893-3952
CID: 5243342
Comparison of Fresh Cell Pellets and Cell Blocks for Genomic Profiling of Advanced Cancers in Pleural Effusion Specimens: Promising Preliminary Results from a Validation Study [Meeting Abstract]
Chen, Fei; Kim, Christine; Shen, Guomiao; Feng, Xiaojun; Jour, George; Cotzia, Paolo; Brandler, Tamar; Sun, Wei; Snuderl, Matija; Simsir, Aylin; Park, Kyung
ISI:000770361800231
ISSN: 0893-3952
CID: 5243292
Clinical value of DNA methylation in practice: A prospective molecular neuropathology study [Meeting Abstract]
Galbraith, Kristyn; Shen, Guomiao; Serrano, Jonathan; Vasudevaraja, Varshini; Tran, Ivy; Movahed-Ezazi, Misha; Harter, David; Hidalgo, Eveline; Wisoff, Jeffrey; Orringer, Daniel; Placantonakis, Dimitris; Gardner, Sharon; William, Christopher; Zagzag, David; Allen, Jeffrey; Sulman, Erik; Golfinos, John; Snuderl, Matija
ISI:000798368400125
ISSN: 0022-3069
CID: 5244322
Integrated Molecular-Morphologic Meningioma Classification: A Multicenter Retrospective Analysis, Retrospectively and Prospectively Validated
Maas, Sybren L N; Stichel, Damian; Hielscher, Thomas; Sievers, Philipp; Berghoff, Anna S; Schrimpf, Daniel; Sill, Martin; Euskirchen, Philipp; Blume, Christina; Patel, Areeba; Dogan, Helin; Reuss, David; Dohmen, Hildegard; Stein, Marco; Reinhardt, Annekathrin; Suwala, Abigail K; Wefers, Annika K; Baumgarten, Peter; Ricklefs, Franz; Rushing, Elisabeth J; Bewerunge-Hudler, Melanie; Ketter, Ralf; Schittenhelm, Jens; Jaunmuktane, Zane; Leu, Severina; Greenway, Fay E A; Bridges, Leslie R; Jones, Timothy; Grady, Conor; Serrano, Jonathan; Golfinos, John; Sen, Chandra; Mawrin, Christian; Jungk, Christine; Hänggi, Daniel; Westphal, Manfred; Lamszus, Katrin; Etminan, Nima; Jungwirth, Gerhard; Herold-Mende, Christel; Unterberg, Andreas; Harter, Patrick N; Wirsching, Hans-Georg; Neidert, Marian C; Ratliff, Miriam; Platten, Michael; Snuderl, Matija; Aldape, Kenneth D; Brandner, Sebastian; Hench, Jürgen; Frank, Stephan; Pfister, Stefan M; Jones, David T W; Reifenberger, Guido; Acker, Till; Wick, Wolfgang; Weller, Michael; Preusser, Matthias; von Deimling, Andreas; Sahm, Felix
PURPOSE:), whereas no molecularly based stratification exists for the broad spectrum of patients with low- and intermediate-risk meningioma. METHODS:DNA methylation data and copy-number information were generated for 3,031 meningiomas (2,868 patients), and mutation data for 858 samples. DNA methylation subgroups, copy-number variations (CNVs), mutations, and WHO grading were analyzed. Prediction power for outcome was assessed in a retrospective cohort of 514 patients, validated on a retrospective cohort of 184, and on a prospective cohort of 287 multicenter cases. RESULTS:= .005). Besides the overall stratification advantage, the integrated score separates more precisely for risk of progression at the diagnostically challenging interface of WHO grade 1 and grade 2 tumors (hazard ratio 4.34 [2.48-7.57] and 3.34 [1.28-8.72] retrospective and prospective validation cohorts, respectively). CONCLUSION:Merging these layers of histologic and molecular data into an integrated, three-tiered score significantly improves the precision in meningioma stratification. Implementation into diagnostic routine informs clinical decision making for patients with meningioma on the basis of robust outcome prediction.
PMCID:8713596
PMID: 34618539
ISSN: 1527-7755
CID: 5103732
Functional Characterization of Brain Tumor-Initiating Cells and Establishment of GBM Preclinical Models that Incorporate Heterogeneity, Therapy, and Sex Differences
Garcia, Cesar A; Bhargav, Adip G; Brooks, Mieu; Suárez-Meade, Paola; Mondal, Sujan K; Zarco, Natanael; ReFaey, Karim; Jentoft, Mark; Middlebrooks, Erik H; Snuderl, Matija; Carrano, Anna; Guerrero-Cazares, Hugo; Schiapparelli, Paula; Sarabia-Estrada, Rachel; Quiñones-Hinojosa, Alfredo
Glioblastoma (GBM) is the most common primary brain cancer in adults where tumor cell heterogeneity and sex differences influence clinical outcomes. Here, we functionally characterize three male and three female patient-derived GBM cell lines, identify protumorigenic BTICs, and create novel male and female preclinical models of GBM. Cell lines were evaluated on the following features: proliferation, stemness, migration, tumorigenesis, clinical characteristics, and sensitivity to radiation, TMZ, rhTNFSF10 (rhTRAIL), and rhBMP4 All cell lines were classified as GBM according to epigenetic subtyping, were heterogenous and functionally distinct from one another, and re-capitulated features of the original patient tumor. In establishing male and female preclinical models, it was found that two male-derived GBM cell lines (QNS108 and QNS120) and one female-derived GBM cell line (QNS315) grew at a faster rate in female mice brains. One male-derived GBM cell line (QNS108) decreased survival in female mice in comparison with male mice. However, no survival differences were observed for mice injected with a female-derived cell line (QNS315). In summary, a panel of six GBM patient-derived cell lines were functionally characterized, and it was shown that BTIC lines can be used to construct sex-specific models with differential phenotypes for additional studies.
PMCID:8687628
PMID: 34465594
ISSN: 1538-8514
CID: 5088822
Comparison of solid tissue sequencing and liquid biopsy accuracy in identification of clinically relevant gene mutations and rearrangements in lung adenocarcinomas
Lin, Lawrence Hsu; Allison, Douglas H R; Feng, Yang; Jour, George; Park, Kyung; Zhou, Fang; Moreira, Andre L; Shen, Guomiao; Feng, Xiaojun; Sabari, Joshua; Velcheti, Vamsidhar; Snuderl, Matija; Cotzia, Paolo
Screening for therapeutic targets is standard of care in the management of advanced non-small cell lung cancer. However, most molecular assays utilize tumor tissue, which may not always be available. "Liquid biopsies" are plasma-based next generation sequencing (NGS) assays that use circulating tumor DNA to identify relevant targets. To compare the sensitivity, specificity, and accuracy of a plasma-based NGS assay to solid-tumor-based NGS we retrospectively analyzed sequencing results of 100 sequential patients with lung adenocarcinoma at our institution who had received concurrent testing with both a solid-tissue-based NGS assay and a commercially available plasma-based NGS assay. Patients represented both new diagnoses (79%) and disease progression on treatment (21%); the majority (83%) had stage IV disease. Tissue-NGS identified 74 clinically relevant mutations, including 52 therapeutic targets, a sensitivity of 94.8%, while plasma-NGS identified 41 clinically relevant mutations, a sensitivity of 52.6% (p < 0.001). Tissue-NGS showed significantly higher sensitivity and accuracy across multiple patient subgroups, both in newly diagnosed and treated patients, as well as in metastatic and nonmetastatic disease. Discrepant cases involved hotspot mutations and actionable fusions including those in EGFR, ALK, and NTRK1. In summary, tissue-NGS detects significantly more clinically relevant alterations and therapeutic targets compared to plasma-NGS, suggesting that tissue-NGS should be the preferred method for molecular testing of lung adenocarcinoma when tissue is available. Plasma-NGS can still play an important role when tissue testing is not possible. However, given its low sensitivity, a negative result should be confirmed with a tissue-based assay.
PMID: 34362997
ISSN: 1530-0285
CID: 4979862