Targeting Refractory Mantle Cell Lymphoma for Imaging and Therapy Using C-X-C Chemokine Receptor Type 4 Radioligands
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Lauren C. Chong | C. Steidl | F. Bénard | K. Takata | T. Miyata‐Takata | Hsiou‐Ting Kuo | J. Zeisler | Chengcheng Zhang | T. Aoki | J. Rousseau | Zhengxing Zhang | D. Villa | H. Merkens | C. Uribe | Joseph Lau | Chengcheng Zhang | L. Chong | Kuo‐Shyan Lin | Daniel Kwon | Bryan J. Fraser | Ruiyan Tan | Helen Merkens
[1] Anushya Muruganujan,et al. The Gene Ontology resource: enriching a GOld mine , 2020, Nucleic Acids Res..
[2] B. McNeil,et al. Radiotheranostics: a roadmap for future development. , 2020, The Lancet. Oncology.
[3] Ryan D. Morin,et al. Coding and non-coding drivers of mantle cell lymphoma identified through exome and genome sequencing , 2019, bioRxiv.
[4] R. Jain,et al. Blocking CXCR4 alleviates desmoplasia, increases T-lymphocyte infiltration, and improves immunotherapy in metastatic breast cancer , 2019, Proceedings of the National Academy of Sciences.
[5] K. Maddocks. Update on mantle cell lymphoma. , 2018, Blood.
[6] A. Rosenwald,et al. Expression of TP53 is associated with the outcome of MCL independent of MIPI and Ki-67 in trials of the European MCL Network. , 2018, Blood.
[7] W. Cai,et al. Radiotheranostics in Cancer Diagnosis and Management. , 2018, Radiology.
[8] V. Wroblewski,et al. Distinct mobilization of leukocytes and hematopoietic stem cells by CXCR4 peptide antagonist LY2510924 and monoclonal antibody LY2624587 , 2017, Oncotarget.
[9] Ido D. Weiss,et al. Screening of cancer tissue arrays identifies CXCR4 on adrenocortical carcinoma: correlates with expression and quantification on metastases using 64Cu-plerixafor PET , 2017, Oncotarget.
[10] Andrew D. Rouillard,et al. The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins , 2016, Database J. Biol. Databases Curation.
[11] N. McCarty,et al. ROS-Induced CXCR4 Signaling Regulates Mantle Cell Lymphoma (MCL) Cell Survival and Drug Resistance in the Bone Marrow Microenvironment via Autophagy , 2015, Clinical Cancer Research.
[12] A. Grañena,et al. CXCR4 expression enhances diffuse large B cell lymphoma dissemination and decreases patient survival , 2015, The Journal of pathology.
[13] H. Weng,et al. CXCR4 over-expression and survival in cancer: A system review and meta-analysis , 2014, Oncotarget.
[14] Kelly M Credille,et al. Identification of LY2510924, a Novel Cyclic Peptide CXCR4 Antagonist That Exhibits Antitumor Activities in Solid Tumor and Breast Cancer Metastatic Models , 2014, Molecular Cancer Therapeutics.
[15] E. Hoster,et al. MRD Eradication Should be the Therapeutic Goal in Mantle Cell Lymphoma and May Enable Tailored Treatment Approaches: Results of the Intergroup Trials of the European MCL Network , 2014 .
[16] W. Huber,et al. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.
[17] H. Moch,et al. Brain metastasis in renal cancer patients: metastatic pattern, tumour-associated macrophages and chemokine/chemoreceptor expression , 2013, British Journal of Cancer.
[18] Derek S. Chan,et al. Targeting CXCL12 from FAP-expressing carcinoma-associated fibroblasts synergizes with anti–PD-L1 immunotherapy in pancreatic cancer , 2013, Proceedings of the National Academy of Sciences.
[19] R. Herrmann,et al. Radioimmunotherapy with 177Lu-DOTA-Rituximab: Final Results of a Phase I/II Study in 31 Patients with Relapsing Follicular, Mantle Cell, and Other Indolent B-Cell Lymphomas , 2013, The Journal of Nuclear Medicine.
[20] S. Schulz,et al. Hierarchical Organization of Multi-Site Phosphorylation at the CXCR4 C Terminus , 2013, PloS one.
[21] P. Mclaughlin,et al. Lenalidomide in combination with rituximab for patients with relapsed or refractory mantle-cell lymphoma: a phase 1/2 clinical trial. , 2012, The Lancet. Oncology.
[22] Adam A. Margolin,et al. The Cancer Cell Line Encyclopedia enables predictive modeling of anticancer drug sensitivity , 2012, Nature.
[23] D. Tseng,et al. Targeting SDF-1/CXCR4 to inhibit tumour vasculature for treatment of glioblastomas , 2011, British Journal of Cancer.
[24] R. Abagyan,et al. Structures of the CXCR4 Chemokine GPCR with Small-Molecule and Cyclic Peptide Antagonists , 2010, Science.
[25] J. Burger,et al. Mantle cell lymphoma cells express high levels of CXCR4, CXCR5, and VLA-4 (CD49d): importance for interactions with the stromal microenvironment and specific targeting. , 2009, Blood.
[26] Brad T. Sherman,et al. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists , 2008, Nucleic acids research.
[27] S. Schulz,et al. Reassessment of CXCR4 Chemokine Receptor Expression in Human Normal and Neoplastic Tissues Using the Novel Rabbit Monoclonal Antibody UMB-2 , 2008, PloS one.
[28] Martin Dreyling,et al. A new prognostic index (MIPI) for patients with advanced-stage mantle cell lymphoma. , 2006, Blood.
[29] Brad T. Sherman,et al. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.
[30] T. Kipps,et al. CXCR4: a key receptor in the crosstalk between tumor cells and their microenvironment. , 2006, Blood.
[31] N. Warrington,et al. Widespread CXCR4 activation in astrocytomas revealed by phospho-CXCR4-specific antibodies. , 2005, Cancer research.
[32] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[33] E. Hoster,et al. Immunochemotherapy with rituximab and cyclophosphamide, doxorubicin, vincristine, and prednisone significantly improves response and time to treatment failure, but not long-term outcome in patients with previously untreated mantle cell lymphoma: results of a prospective randomized trial of the Germa , 2005, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[34] S. Larson,et al. Patient-specific dosimetry for 131I thyroid cancer therapy using 124I PET and 3-dimensional-internal dosimetry (3D-ID) software. , 2004, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[35] F. Balkwill. Cancer and the chemokine network , 2004, Nature Reviews Cancer.
[36] M. Daly,et al. PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes , 2003, Nature Genetics.
[37] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.