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Dive into the research topics where Khalida Wani is active.

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Featured researches published by Khalida Wani.


Nature | 2014

Epigenomic alterations define lethal CIMP-positive ependymomas of infancy.

Stephen C. Mack; Hendrik Witt; Rosario M. Piro; Lei Gu; Scott Zuyderduyn; A. M. Stütz; Xiaosong Wang; Marco Gallo; Livia Garzia; Kory Zayne; Xiaoyang Zhang; Vijay Ramaswamy; Natalie Jäger; David T. W. Jones; Martin Sill; Trevor J. Pugh; M. Ryzhova; Khalida Wani; David Shih; Renee Head; Marc Remke; S. D. Bailey; Thomas Zichner; Claudia C. Faria; Mark Barszczyk; Sebastian Stark; Huriye Seker-Cin; Sonja Hutter; Pascal Johann; Sebastian Bender

Ependymomas are common childhood brain tumours that occur throughout the nervous system, but are most common in the paediatric hindbrain. Current standard therapy comprises surgery and radiation, but not cytotoxic chemotherapy as it does not further increase survival. Whole-genome and whole-exome sequencing of 47 hindbrain ependymomas reveals an extremely low mutation rate, and zero significant recurrent somatic single nucleotide variants. Although devoid of recurrent single nucleotide variants and focal copy number aberrations, poor-prognosis hindbrain ependymomas exhibit a CpG island methylator phenotype. Transcriptional silencing driven by CpG methylation converges exclusively on targets of the Polycomb repressive complex 2 which represses expression of differentiation genes through trimethylation of H3K27. CpG island methylator phenotype-positive hindbrain ependymomas are responsive to clinical drugs that target either DNA or H3K27 methylation both in vitro and in vivo. We conclude that epigenetic modifiers are the first rational therapeutic candidates for this deadly malignancy, which is epigenetically deregulated but genetically bland.


Genes & Development | 2011

The transcriptional coactivator TAZ regulates mesenchymal differentiation in malignant glioma

Krishna P.L. Bhat; Katrina Salazar; Veerakumar Balasubramaniyan; Khalida Wani; Lindsey Heathcock; Faith Hollingsworth; Johanna D. James; Joy Gumin; Kristin Diefes; Se Hoon Kim; Alice Turski; Yasaman Azodi; Yuhui Yang; Tiffany Doucette; Howard Colman; Erik P. Sulman; Frederick F. Lang; Ganesh Rao; Sjef Copray; Brian Vaillant; Kenneth D. Aldape

Recent molecular classification of glioblastoma (GBM) has shown that patients with a mesenchymal (MES) gene expression signature exhibit poor overall survival and treatment resistance. Using regulatory network analysis of available expression microarray data sets of GBM, including The Cancer Genome Atlas (TCGA), we identified the transcriptional coactivator with PDZ-binding motif (TAZ), to be highly associated with the MES network. TAZ expression was lower in proneural (PN) GBMs and lower-grade gliomas, which correlated with CpG island hypermethylation of the TAZ promoter compared with MES GBMs. Silencing of TAZ in MES glioma stem cells (GSCs) decreased expression of MES markers, invasion, self-renewal, and tumor formation. Conversely, overexpression of TAZ in PN GSCs as well as murine neural stem cells (NSCs) induced MES marker expression and aberrant osteoblastic and chondrocytic differentiation in a TEAD-dependent fashion. Using chromatin immunoprecipitation (ChIP), we show that TAZ is directly recruited to a majority of MES gene promoters in a complex with TEAD2. The coexpression of TAZ, but not a mutated form of TAZ that lacks TEAD binding, with platelet-derived growth factor-B (PDGF-B) resulted in high-grade tumors with MES features in a murine model of glioma. Our studies uncover a direct role for TAZ and TEAD in driving the MES differentiation of malignant glioma.


Cancer Discovery | 2016

Analysis of Immune Signatures in Longitudinal Tumor Samples Yields Insight into Biomarkers of Response and Mechanisms of Resistance to Immune Checkpoint Blockade

Pei Ling Chen; Whijae Roh; Alexandre Reuben; Zachary A. Cooper; Christine N. Spencer; Peter A. Prieto; John P. Miller; Roland L. Bassett; Vancheswaran Gopalakrishnan; Khalida Wani; Mariana Petaccia de Macedo; Jacob Austin-Breneman; Hong Jiang; Qing Chang; Sangeetha M. Reddy; Wei Shen Chen; Michael T. Tetzlaff; R. Broaddus; Michael A. Davies; Jeffrey E. Gershenwald; Lauren E. Haydu; Alexander J. Lazar; Sapna Pradyuman Patel; Patrick Hwu; Wen-Jen Hwu; Adi Diab; Isabella C. Glitza; Scott E. Woodman; Luis Vence; Ignacio I. Wistuba

UNLABELLED Immune checkpoint blockade represents a major breakthrough in cancer therapy; however, responses are not universal. Genomic and immune features in pretreatment tumor biopsies have been reported to correlate with response in patients with melanoma and other cancers, but robust biomarkers have not been identified. We studied a cohort of patients with metastatic melanoma initially treated with cytotoxic T-lymphocyte-associated antigen-4 (CTLA4) blockade (n = 53) followed by programmed death-1 (PD-1) blockade at progression (n = 46), and analyzed immune signatures in longitudinal tissue samples collected at multiple time points during therapy. In this study, we demonstrate that adaptive immune signatures in tumor biopsy samples obtained early during the course of treatment are highly predictive of response to immune checkpoint blockade and also demonstrate differential effects on the tumor microenvironment induced by CTLA4 and PD-1 blockade. Importantly, potential mechanisms of therapeutic resistance to immune checkpoint blockade were also identified. SIGNIFICANCE These studies demonstrate that adaptive immune signatures in early on-treatment tumor biopsies are predictive of response to checkpoint blockade and yield insight into mechanisms of therapeutic resistance. These concepts have far-reaching implications in this age of precision medicine and should be explored in immune checkpoint blockade treatment across cancer types. Cancer Discov; 6(8); 827-37. ©2016 AACR.See related commentary by Teng et al., p. 818This article is highlighted in the In This Issue feature, p. 803.


Acta Neuropathologica | 2012

A prognostic gene expression signature in infratentorial ependymoma

Khalida Wani; Terri S. Armstrong; Elizabeth Vera-Bolanos; Aditya Raghunathan; David W. Ellison; Richard J. Gilbertson; Brian Vaillant; Stewart Goldman; Roger J. Packer; Maryam Fouladi; Ian F. Pollack; Tom Mikkelsen; Michael D. Prados; Antonio Omuro; Riccardo Soffietti; Alicia Ledoux; Charmaine Wilson; Lihong Long; Mark R. Gilbert; Kenneth D. Aldape

Patients with ependymoma exhibit a wide range of clinical outcomes that are currently unexplained by clinical or histological factors. Little is known regarding molecular biomarkers that could predict clinical behavior. Since recent data suggest that these tumors display biological characteristics according to their location (cerebral vs. infratentorial vs. spinal cord), rather than explore a broad spectrum of ependymoma, we focused on molecular alterations in ependymomas arising in the infratentorial compartment. Unsupervised clustering of available gene expression microarray data revealed two major subgroups of infratentorial ependymoma. Group 1 tumors over expressed genes that were associated with mesenchyme, Group 2 tumors showed no distinct gene ontologies. To assess the prognostic significance of these gene expression subgroups, real-time reverse transcriptase polymerase chain reaction assays were performed on genes defining the subgroups in a training set. This resulted in a 10-gene prognostic signature. Multivariate analysis showed that the 10-gene signature was an independent predictor of recurrence-free survival after adjusting for clinical factors. Evaluation of an external dataset describing subgroups of infratentorial ependymomas showed concordance of subgroup definition, including validation of the mesenchymal subclass. Importantly, the 10-gene signature was validated as a predictor of recurrence-free survival in this dataset. Taken together, the results indicate a link between clinical outcome and biologically identified subsets of infratentorial ependymoma and offer the potential for prognostic testing to estimate clinical aggressiveness in these tumors.


Science Translational Medicine | 2017

Integrated molecular analysis of tumor biopsies on sequential CTLA-4 and PD-1 blockade reveals markers of response and resistance

Whijae Roh; Pei Ling Chen; Alexandre Reuben; Christine N. Spencer; Peter A. Prieto; John P. Miller; Vancheswaran Gopalakrishnan; Feng Wang; Zachary A. Cooper; Sangeetha M. Reddy; Curtis Gumbs; Latasha Little; Qing Chang; Wei Shen Chen; Khalida Wani; Mariana Petaccia de Macedo; Eveline Chen; Jacob Austin-Breneman; Hong Jiang; Jason Roszik; Michael T. Tetzlaff; Michael A. Davies; Jeffrey E. Gershenwald; Hussein Abdul-Hassan Tawbi; Alexander J. Lazar; Patrick Hwu; Wen-Jen Hwu; Adi Diab; Isabella C. Glitza; Sapna Pradyuman Patel

Profiling of melanoma patients treated with checkpoint blockade reveals TCR clonality and copy number loss as correlates of therapeutic response. Checking on checkpoint inhibitors Immune checkpoint blockade has greatly improved the success of treatment in melanoma and other tumor types, but it is expensive and does not work for all patients. To optimize the likelihood of therapeutic success and reduce the risks and expense of unnecessary treatment, it would be helpful to find biomarkers that can predict treatment response. Roh et al. studied patients treated with sequential checkpoint inhibitors targeting CTLA-4 and then PD-1. In these patients, the authors discovered that a more clonal T cell population specifically correlates with response to PD-1 blockade, but not CTLA-4, which may help identify the best candidates for this treatment. In addition, increased frequency of gene copy number loss was correlated with decreased responsiveness to either therapy. Immune checkpoint blockade produces clinical benefit in many patients. However, better biomarkers of response are still needed, and mechanisms of resistance remain incompletely understood. To address this, we recently studied a cohort of melanoma patients treated with sequential checkpoint blockade against cytotoxic T lymphocyte antigen–4 (CTLA-4) followed by programmed death receptor–1 (PD-1) and identified immune markers of response and resistance. Building on these studies, we performed deep molecular profiling including T cell receptor sequencing and whole-exome sequencing within the same cohort and demonstrated that a more clonal T cell repertoire was predictive of response to PD-1 but not CTLA-4 blockade. Analysis of CNAs identified a higher burden of copy number loss in nonresponders to CTLA-4 and PD-1 blockade and found that it was associated with decreased expression of genes in immune-related pathways. The effect of mutational load and burden of copy number loss on response was nonredundant, suggesting the potential utility of a combinatorial biomarker to optimize patient care with checkpoint blockade therapy.


Neuro-oncology | 2015

Clinical course and progression-free survival of adult intracranial and spinal ependymoma patients

Elizabeth Vera-Bolanos; Kenneth D. Aldape; Ying Yuan; Jimin Wu; Khalida Wani; Mary Jo T. Necesito-Reyes; Howard Colman; Girish Dhall; Frank S. Lieberman; Philippe Metellus; Tom Mikkelsen; Antonio Omuro; Sonia Partap; Michael D. Prados; H. Ian Robins; Riccardo Soffietti; Jing Wu; Mark R. Gilbert; Terri S. Armstrong

BACKGROUND Ependymomas are rare CNS tumors. Previous studies describing the clinical course of ependymoma patients were restricted to small sample sizes, often with patients at a specific institution. METHODS Clinically annotated ependymoma tissue samples from 19 institutions were centrally reviewed. Patients were all adults aged 18 years or older at the time of diagnosis. Potential prognostic clinical factors identified on univariate analysis were included in a multivariate Cox proportional hazards model with backwards selection to model progression-free survival. RESULTS The 282 adult ependymoma patients were equally male and female with a mean age of 43 years (range, 18-80y) at diagnosis. The majority were grade II (78%) with the tumor grade for 20 cases being reclassified on central review (half to higher grade). Tumor locations were spine (46%), infratentorial (35%), and supratentorial (19%). Tumor recurrence occurred in 26% (n = 74) of patients with a median time to progression of 14 years. A multivariate Cox proportional hazards model identified supratentorial location (P < .01), grade III (anaplastic; P < .01), and subtotal resection, followed or not by radiation (P < .01), as significantly increasing risk of early progression. CONCLUSIONS We report findings from an ongoing, multicenter collaboration from a collection of clinically annotated adult ependymoma tumor samples demonstrating distinct predictors of progression-free survival. This unique resource provides the opportunity to better define the clinical course of ependymoma for clinical and translational studies.


Brain Pathology | 2013

Histological predictors of outcome in ependymoma are dependent on anatomic site within the central nervous system.

Aditya Raghunathan; Khalida Wani; Terri S. Armstrong; Elizabeth Vera-Bolanos; Maryam Fouladi; Richard J. Gilbertson; Amar Gajjar; Stewart Goldman; Norman L. Lehman; Phillipe Metellus; Tom Mikkelsen; Mary Jo T. Necesito-Reyes; Antonio Omuro; Roger J. Packer; Sonia Partap; Ian F. Pollack; Michael D. Prados; H. Ian Robins; Riccardo Soffietti; Jing Wu; C. Ryan Miller; Mark R. Gilbert; Kenneth D. Aldape

Ependymomas originate in posterior fossa (PF), supratentorial (ST) or spinal cord (SC) compartments. At present, grading schemes are applied independent of anatomic site. We performed detailed histological examination on 238 World Health Organization grade II and III ependymomas. Among PF ependymomas, the presence of hypercellular areas, necrosis, microvascular proliferation and elevated mitotic rate (all P < 0.01) were significantly associated with worse progression‐free survival (PFS), while extensive ependymal canal formation was not (P = 0.89). Similar to the PF tumors, microvascular proliferation (P = 0.01) and elevated mitotic rate (P = 0.03) were significantly associated with worse PFS in the ST tumors. However, in contrast to PF tumors, extensive ependymal canals (P = 0.03) were associated with worse clinical outcome in ST ependymomas, but hypercellularity (P = 0.57) and necrosis (P = 0.47) were not. On multivariate Cox regression, after adjusting for relevant clinical variables, individual histological factors and a composite histological score remained significant among ST and PF ependymoma. In contrast to both PF and ST ependymoma, histological features were not found to be associated with PFS in SC tumors. Taken together, the clinical relevance of specific histological features in ependymoma appears to be related to the anatomic site of origin and suggests that site‐specific grading criteria be considered in future classification systems.


Brain Pathology | 2015

Mitotic Index is an Independent Predictor of Recurrence‐Free Survival in Meningioma

Adriana Olar; Khalida Wani; Erik P. Sulman; Alireza Mansouri; Gelareh Zadeh; Charmaine Wilson; Franco DeMonte; Gregory N. Fuller; Kenneth D. Aldape

While World Health Organization (WHO) grading of meningioma stratifies patients according to recurrence risk overall, there is substantial within‐grade heterogeneity with respect to recurrence‐free survival (RFS). Most meningiomas are graded according to mitotic counts per unit area on hematoxylin and eosin sections, a method potentially confounded by tumor cellularity, as well as potential limitations of accurate mitotic figure detection on routine histology. To refine mitotic figure assessment, we evaluated 363 meningiomas with phospho‐histone H3 (Ser10) and determined the mitotic index (number of mitoses per 1000 tumor cells). The median mitotic indices among WHO grade I (n = 268), grade II (n = 84) and grade III (n = 11) tumors were 1, 4 and 12. Classification and regression tree analysis to categorize cut‐offs identified three subgroups defined by mitotic indices of 0–2, 3–4 and ≥5, which on univariate analysis were associated with RFS (P < 0.01). In multivariate analysis, mitotic index subgrouped in this manner was significantly associated with RFS (P < 0.01) after adjustment for Simpson grade, WHO grade and MIB‐1 index. Mitotic index was then examined within individual WHO grade, showing that for grade I and grade II meningiomas, mitotic index can add additional information to RFS risk. The results suggest that the use of a robust mitotic marker in meningioma could refine risk stratification.


Lancet Oncology | 2018

Neoadjuvant plus adjuvant dabrafenib and trametinib versus standard of care in patients with high-risk, surgically resectable melanoma: a single-centre, open-label, randomised, phase 2 trial

Rodabe N. Amaria; Peter A. Prieto; Michael T. Tetzlaff; Alexandre Reuben; Miles C. Andrews; Merrick I. Ross; Isabella C. Glitza; Janice N. Cormier; Wen-Jen Hwu; Hussein Abdul-Hassan Tawbi; Sapna Pradyuman Patel; Jeffrey E. Lee; Jeffrey E. Gershenwald; Christine N. Spencer; Vancheswaran Gopalakrishnan; Roland L. Bassett; Lauren Simpson; Rosalind Mouton; Courtney W. Hudgens; Li Zhao; Haifeng Zhu; Zachary A. Cooper; Khalida Wani; Alexander J. Lazar; Patrick Hwu; Adi Diab; Michael K. Wong; Jennifer L. McQuade; Richard E. Royal; Anthony Lucci

BACKGROUND Dual BRAF and MEK inhibition produces a response in a large number of patients with stage IV BRAF-mutant melanoma. The existing standard of care for patients with clinical stage III melanoma is upfront surgery and consideration for adjuvant therapy, which is insufficient to cure most patients. Neoadjuvant targeted therapy with BRAF and MEK inhibitors (such as dabrafenib and trametinib) might provide clinical benefit in this high-risk p opulation. METHODS We undertook this single-centre, open-label, randomised phase 2 trial at the University of Texas MD Anderson Cancer Center (Houston, TX, USA). Eligible participants were adult patients (aged ≥18 years) with histologically or cytologically confirmed surgically resectable clinical stage III or oligometastatic stage IV BRAFV600E or BRAFV600K (ie, Val600Glu or Val600Lys)-mutated melanoma. Eligible patients had to have an Eastern Cooperative Oncology Group performance status of 0 or 1, a life expectancy of more than 3 years, and no previous exposure to BRAF or MEK inhibitors. Exclusion criteria included metastases to bone, brain, or other sites where complete surgical excision was in doubt. We randomly assigned patients (1:2) to either upfront surgery and consideration for adjuvant therapy (standard of care group) or neoadjuvant plus adjuvant dabrafenib and trametinib (8 weeks of neoadjuvant oral dabrafenib 150 mg twice per day and oral trametinib 2 mg per day followed by surgery, then up to 44 weeks of adjuvant dabrafenib plus trametinib starting 1 week after surgery for a total of 52 weeks of treatment). Randomisation was not masked and was implemented by the clinical trial conduct website maintained by the trial centre. Patients were stratified by disease stage. The primary endpoint was investigator-assessed event-free survival (ie, patients who were alive without disease progression) at 12 months in the intent-to-treat population. This trial is registered at ClinicalTrials.gov, number NCT02231775. FINDINGS Between Oct 23, 2014, and April 13, 2016, we randomly assigned seven patients to standard of care, and 14 to neoadjuvant plus adjuvant dabrafenib and trametinib. The trial was stopped early after a prespecified interim safety analysis that occurred after a quarter of the participants had been accrued revealed significantly longer event-free survival with neoadjuvant plus adjuvant dabrafenib and trametinib than with standard of care. After a median follow-up of 18·6 months (IQR 14·6-23·1), significantly more patients receiving neoadjuvant plus adjuvant dabrafenib and trametinib were alive without disease progression than those receiving standard of care (ten [71%] of 14 patients vs none of seven in the standard of care group; median event-free survival was 19·7 months [16·2-not estimable] vs 2·9 months [95% CI 1·7-not estimable]; hazard ratio 0·016, 95% CI 0·00012-0·14, p<0·0001). Neoadjuvant plus adjuvant dabrafenib and trametinib were well tolerated with no occurrence of grade 4 adverse events or treatment-related deaths. The most common adverse events in the neoadjuvant plus adjuvant dabrafenib and trametinib group were expected grade 1-2 toxicities including chills (12 patients [92%]), headache (12 [92%]), and pyrexia (ten [77%]). The most common grade 3 adverse event was diarrhoea (two patients [15%]). INTERPRETATION Neoadjuvant plus adjuvant dabrafenib and trametinib significantly improved event-free survival versus standard of care in patients with high-risk, surgically resectable, clinical stage III-IV melanoma. Although the trial finished early, limiting generalisability of the results, the findings provide proof-of-concept and support the rationale for further investigation of neoadjuvant approaches in this disease. This trial is currently continuing accrual as a single-arm study of neoadjuvant plus adjuvant dabrafenib and trametinib. FUNDING Novartis Pharmaceuticals Corporation.


The Journal of Neuroscience | 2015

Mir-21-Sox2 axis delineates glioblastoma subtypes with prognostic impact

Pratheesh Sathyan; Pascal O. Zinn; Anantha Marisetty; Bin Liu; Mohamed M. Kamal; Sanjay K. Singh; Pierre Bady; Li Lu; Khalida Wani; Bethany L. Veo; Joy Gumin; Dina H. Kassem; Frederick Robinson; Connie C. Weng; Veerabhadran Baladandayuthapani; Dima Suki; Howard Colman; Krishna P. Bhat; Erik P. Sulman; Kenneth D. Aldape; Rivka R. Colen; Roeland Verhaak; Zhimin Lu; Gregory N. Fuller; Suyun Huang; Frederick F. Lang; Raymond Sawaya; Monika E. Hegi; Sadhan Majumder

Glioblastoma (GBM) is the most aggressive human brain tumor. Although several molecular subtypes of GBM are recognized, a robust molecular prognostic marker has yet to be identified. Here, we report that the stemness regulator Sox2 is a new, clinically important target of microRNA-21 (miR-21) in GBM, with implications for prognosis. Using the MiR-21–Sox2 regulatory axis, approximately half of all GBM tumors present in the Cancer Genome Atlas (TCGA) and in-house patient databases can be mathematically classified into high miR-21/low Sox2 (Class A) or low miR-21/high Sox2 (Class B) subtypes. This classification reflects phenotypically and molecularly distinct characteristics and is not captured by existing classifications. Supporting the distinct nature of the subtypes, gene set enrichment analysis of the TCGA dataset predicted that Class A and Class B tumors were significantly involved in immune/inflammatory response and in chromosome organization and nervous system development, respectively. Patients with Class B tumors had longer overall survival than those with Class A tumors. Analysis of both databases indicated that the Class A/Class B classification is a better predictor of patient survival than currently used parameters. Further, manipulation of MiR-21–Sox2 levels in orthotopic mouse models supported the longer survival of the Class B subtype. The MiR-21–Sox2 association was also found in mouse neural stem cells and in the mouse brain at different developmental stages, suggesting a role in normal development. Therefore, this mechanism-based classification suggests the presence of two distinct populations of GBM patients with distinguishable phenotypic characteristics and clinical outcomes. SIGNIFICANCE STATEMENT Molecular profiling-based classification of glioblastoma (GBM) into four subtypes has substantially increased our understanding of the biology of the disease and has pointed to the heterogeneous nature of GBM. However, this classification is not mechanism based and its prognostic value is limited. Here, we identify a new mechanism in GBM (the miR-21–Sox2 axis) that can classify ∼50% of patients into two subtypes with distinct molecular, radiological, and pathological characteristics. Importantly, this classification can predict patient survival better than the currently used parameters. Further, analysis of the miR-21-Sox2 relationship in mouse neural stem cells and in the mouse brain at different developmental stages indicates that miR-21 and Sox2 are predominantly expressed in mutually exclusive patterns, suggesting a role in normal neural development.

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Kenneth D. Aldape

Princess Margaret Cancer Centre

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Alexander J. Lazar

University of Texas MD Anderson Cancer Center

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Erik P. Sulman

University of Texas MD Anderson Cancer Center

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Mark R. Gilbert

University of Texas MD Anderson Cancer Center

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Terri S. Armstrong

University of Texas Health Science Center at Houston

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Adriana Olar

Medical University of South Carolina

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Michael T. Tetzlaff

University of Texas MD Anderson Cancer Center

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Elizabeth Vera-Bolanos

University of Texas MD Anderson Cancer Center

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David T. W. Jones

German Cancer Research Center

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Alexandre Reuben

University of Texas MD Anderson Cancer Center

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