Metabolic Fingerprinting on Synthetic Alloys for Medulloblastoma Diagnosis and Radiotherapy Evaluation
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Qian Wang | Mengji Zhang | Kun Qian | Haiyang Su | Xuejiao Shi | Lin Huang | Qian Wang | H. Su | D. Gurav | Ma-wei Jiang | K. Qian | Lin Huang | Jing Cao | Mengji Zhang | Jing Cao | Deepanjali D Gurav | Keke Li | Jingyang Niu | Mawei Jiang | Xuejiao Shi | Keke Li | Jingyang Niu | Qian Wang | Mawei Jiang | Kun Qian | Haiyang Su
[1] Andrew R. Korte,et al. Trace Analysis and Reaction Monitoring by Nanophotonic Ionization Mass Spectrometry from Elevated Bowtie and Silicon Nanopost Arrays , 2018 .
[2] Zhi Hu,et al. An integrative genomic and proteomic analysis of PIK3CA, PTEN, and AKT mutations in breast cancer. , 2008, Cancer research.
[3] Paul Geladi,et al. Principal Component Analysis , 1987, Comprehensive Chemometrics.
[4] Woochul Kim,et al. Band Degeneracy, Low Thermal Conductivity, and High Thermoelectric Figure of Merit in SnTe-CaTe Alloys , 2016 .
[5] S. Retterer,et al. Metabolic differences in microbial cell populations revealed by nanophotonic ionization. , 2013, Angewandte Chemie.
[6] I. Wilson,et al. High resolution "ultra performance" liquid chromatography coupled to oa-TOF mass spectrometry as a tool for differential metabolic pathway profiling in functional genomic studies. , 2005, Journal of proteome research.
[7] Frank Diehl,et al. Detection and quantification of mutations in the plasma of patients with colorectal tumors. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[8] Zhaoli Chen,et al. Prediction of Chemotherapeutic Efficacy in Non–Small Cell Lung Cancer by Serum Metabolomic Profiling , 2018, Clinical Cancer Research.
[9] Mathukumalli Vidyasagar,et al. Identifying predictive features in drug response using machine learning: opportunities and challenges. , 2015, Annual review of pharmacology and toxicology.
[10] Holly J. Butler,et al. Health economic evaluation of a serum-based blood test for brain tumour diagnosis: exploration of two clinical scenarios , 2018, BMJ Open.
[11] C. R. Leemans,et al. Radiotherapy plus cisplatin or cetuximab in low-risk human papillomavirus-positive oropharyngeal cancer (De-ESCALaTE HPV): an open-label randomised controlled phase 3 trial , 2019, The Lancet.
[12] Y. Benjamini,et al. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .
[13] Matthias Müller-Hannemann,et al. In silico fragmentation for computer assisted identification of metabolite mass spectra , 2010, BMC Bioinformatics.
[14] Robert P. Sheridan,et al. Mapping the dark space of chemical reactions with extended nanomole synthesis and MALDI-TOF MS , 2018, Science.
[15] Huan‐Tsung Chang,et al. Using a Functional Nanogold Membrane Coupled with Laser Desorption/Ionization Mass Spectrometry to Detect Lead Ions in Biofluids , 2011 .
[16] Richard A. Adams,et al. Clinical development of new drug–radiotherapy combinations , 2016, Nature Reviews Clinical Oncology.
[17] R. Spolenak,et al. Ultrastrong ductile and stable high-entropy alloys at small scales , 2015, Nature Communications.
[18] W. Wilson,et al. Diagnostic tools for neoplastic meningitis: detecting disease, identifying patient risk, and determining benefit of treatment. , 2009, Seminars in oncology.
[19] Ludmila V. Danilova,et al. Detection and localization of surgically resectable cancers with a multi-analyte blood test , 2018, Science.
[20] S. Fedewa,et al. Cancer screening in the United States, 2018: A review of current American Cancer Society guidelines and current issues in cancer screening , 2018, CA: a cancer journal for clinicians.
[21] Kun Qian,et al. Multifunctional Magnetic Particles for Combined Circulating Tumor Cells Isolation and Cellular Metabolism Detection , 2016, Advanced functional materials.
[22] J. Nicholson,et al. Global urinary metabolic profiling procedures using gas chromatography–mass spectrometry , 2011, Nature Protocols.
[23] Joshua Jones,et al. Role of radiation therapy in palliative care of the patient with cancer. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[24] Y. Jeong,et al. Synergistic effect of graphene oxide/MWCNT films in laser desorption/ionization mass spectrometry of small molecules and tissue imaging. , 2011, ACS nano.
[25] E. Tapper,et al. Use of Liver Imaging and Biopsy in Clinical Practice , 2017, The New England journal of medicine.
[26] B. Pollo,et al. Hyperfractionated accelerated radiotherapy in the Milan strategy for metastatic medulloblastoma. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[27] Carlos Caldas,et al. Analysis of circulating tumor DNA to monitor metastatic breast cancer. , 2013, The New England journal of medicine.
[28] Qing Peng,et al. Monodisperse magnetic single-crystal ferrite microspheres. , 2005, Angewandte Chemie.
[29] U. Sauer,et al. Real-time metabolome profiling of the metabolic switch between starvation and growth , 2015, Nature Methods.
[30] Á. Jos,et al. Differentiation of sparkling wines (cava and champagne) according to their mineral content. , 2004, Talanta.
[31] Yuan-fang Liu,et al. A distinct glucose metabolism signature of acute myeloid leukemia with prognostic value. , 2014, Blood.
[32] Qian Wang,et al. Metabolic Fingerprinting on a Plasmonic Gold Chip for Mass Spectrometry Based in Vitro Diagnostics , 2018, ACS central science.
[33] Bernhard Spengler,et al. Autofocusing MALDI mass spectrometry imaging of tissue sections and 3D chemical topography of nonflat surfaces , 2017, Nature Methods.
[34] Daniel C. Cole,et al. Quantitative mass imaging of single biological macromolecules , 2018, Science.
[35] S. Mahadevan,et al. A study of machine learning regression methods for major elemental analysis of rocks using laser-induced breakdown spectroscopy , 2015 .
[36] M. Choti,et al. Detection of Circulating Tumor DNA in Early- and Late-Stage Human Malignancies , 2014, Science Translational Medicine.
[37] Laxman Yetukuri,et al. Algorithms and tools for the preprocessing of LC–MS metabolomics data , 2011 .
[38] R Zenobi,et al. Single-Cell Metabolomics: Analytical and Biological Perspectives , 2013, Science.
[39] P. Nathan,et al. Reduction in Late Mortality among 5-Year Survivors of Childhood Cancer. , 2016, The New England journal of medicine.
[40] Hongjie Dai,et al. Magnetic “Squashing” of Circulating Tumor Cells on Plasmonic Substrates for Ultrasensitive NIR Fluorescence Detection , 2019, Small Methods.
[41] A. Jarmusch,et al. Lipid and metabolite profiles of human brain tumors by desorption electrospray ionization-MS , 2016, Proceedings of the National Academy of Sciences.
[42] William Stafford Noble,et al. How does multiple testing correction work? , 2009, Nature Biotechnology.
[43] Andreas Vécsei,et al. Accuracy in Diagnosis of Celiac Disease Without Biopsies in Clinical Practice. , 2017, Gastroenterology.
[44] King-Sun Fu,et al. Pattern Recognition and Machine Learning , 2012 .
[45] D. Vriens,et al. Monitoring and Predicting Response to Therapy with 18F-FDG PET in Colorectal Cancer: A Systematic Review , 2009, Journal of Nuclear Medicine.
[46] Johan Trygg,et al. Metabolic Profiling of Systemic Lupus Erythematosus and Comparison with Primary Sjögren’s Syndrome and Systemic Sclerosis , 2016, PloS one.
[47] Ahmedin Jemal,et al. Cancer treatment and survivorship statistics, 2019 , 2019, CA: a cancer journal for clinicians.
[48] J. Hughes,et al. Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases. , 1992, Journal of neurology, neurosurgery, and psychiatry.
[49] F. Gao,et al. Pd-Au bimetallic catalysts: understanding alloy effects from planar models and (supported) nanoparticles. , 2012, Chemical Society reviews.
[50] Xavier Roca,et al. Development and validation of a method for air-quality and nuisance odors monitoring of volatile organic compounds using multi-sorbent adsorption and gas chromatography/mass spectrometry thermal desorption system. , 2007, Journal of chromatography. A.
[51] Kun Qian,et al. A Multifunctional Platinum Nanoreactor for Point-of-Care Metabolic Analysis , 2019 .
[52] D. Touw,et al. Therapeutic Drug Monitoring by Dried Blood Spot: Progress to Date and Future Directions , 2014, Clinical Pharmacokinetics.
[53] Jian Ji,et al. Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics , 2018, Metabolites.
[54] Ahmedin Jemal,et al. Childhood and adolescent cancer statistics, 2014 , 2014, CA: a cancer journal for clinicians.
[55] Kaustubh Supekar,et al. Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty , 2012, NeuroImage.
[56] Zhongwei Li,et al. Validation of miRNAs as Breast Cancer Biomarkers with a Machine Learning Approach , 2019, Cancers.
[57] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[58] Christopher J. Lyon,et al. Quantification of circulating Mycobacterium tuberculosis antigen peptides allows rapid diagnosis of active disease and treatment monitoring , 2017, Proceedings of the National Academy of Sciences.
[59] Hongyang Zhao,et al. Accuracy of conventional MRI for preoperative diagnosis of intracranial tumors: A retrospective cohort study of 762 cases. , 2016, International journal of surgery.
[60] John Kurhanewicz,et al. Prostate cancer: prediction of biochemical failure after external-beam radiation therapy--Kattan nomogram and endorectal MR imaging estimation of tumor volume. , 2011, Radiology.
[61] Xuming Sun,et al. Plasmonic silver nanoshells for drug and metabolite detection , 2017, Nature Communications.
[62] Onno E. de Noord,et al. Machine Learning and Statistical Analysis for Materials Science: Stability and Transferability of Fingerprint Descriptors and Chemical Insights , 2017 .
[63] Mei Li,et al. Plasmonic AuPd-based Mott-Schottky photocatalyst for synergistically enhanced hydrogen evolution from formic acid and aldehyde , 2019, Applied Catalysis B: Environmental.
[64] R. Abagyan,et al. XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. , 2006, Analytical chemistry.
[65] William E Grizzle,et al. Standard operating procedures for serum and plasma collection: early detection research network consensus statement standard operating procedure integration working group. , 2009, Journal of proteome research.
[66] Xing-jie Liang,et al. Enhanced Radiosensitization by Gold Nanoparticles with Acid‐Triggered Aggregation in Cancer Radiotherapy , 2019, Advanced science.
[67] Joshua D. Knowles,et al. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry , 2011, Nature Protocols.
[68] T. Merchant,et al. Comparison of CSF cytology and spinal magnetic resonance imaging in the detection of leptomeningeal disease in pediatric medulloblastoma or primitive neuroectodermal tumor. , 1999, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[69] P. Northcott,et al. Medulloblastoma , 2019, Nature Reviews Disease Primers.
[70] N. Smoll. Relative survival of childhood and adult medulloblastomas and primitive neuroectodermal tumors (PNETs) , 2012, Cancer.
[71] Andrew R. Korte,et al. Molecular Imaging of Biological Samples on Nanophotonic Laser Desorption Ionization Platforms. , 2016, Angewandte Chemie.
[72] C. Pilarsky,et al. Supplemental : Metabolic biomarker signature to differentiate pancreatic ductal adenocarcinoma from chronic pancreatitis , 2016 .
[73] Xin Lu,et al. A Large‐scale, multicenter serum metabolite biomarker identification study for the early detection of hepatocellular carcinoma , 2018, Hepatology.
[74] Debashis Ghosh,et al. Classification and Selection of Biomarkers in Genomic Data Using LASSO , 2005, Journal of biomedicine & biotechnology.
[75] C. Deng,et al. Synthesis of Fe(3)O(4)@SiO(2)@PMMA core-shell-shell magnetic microspheres for highly efficient enrichment of peptides and proteins for MALDI-ToF MS analysis. , 2010, Angewandte Chemie.
[76] Bing Xu,et al. Dual Fluorescent- and Isotopic-Labelled Self-Assembling Vancomycin for in vivo Imaging of Bacterial Infections. , 2017, Angewandte Chemie.
[77] George E. Dahl,et al. Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error. , 2017, Journal of chemical theory and computation.
[78] M. Makary,et al. Combined circulating tumor DNA and protein biomarker-based liquid biopsy for the earlier detection of pancreatic cancers , 2017, Proceedings of the National Academy of Sciences.
[79] Kun Qian,et al. Designed Microdevices for In Vitro Diagnostics , 2017 .
[80] Wei Xu,et al. Detection and Inhibition of Bacteria on a Dual-Functional Silver Platform. , 2018, Small.
[81] Russ Greiner,et al. Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification , 2013, Metabolomics.
[82] D. Citrin,et al. Recent Developments in Radiotherapy , 2017, The New England journal of medicine.
[83] G. Hutchings,et al. Solvent-Free Oxidation of Primary Alcohols to Aldehydes Using Au-Pd/TiO2 Catalysts , 2006, Science.
[84] T. Ebbels,et al. Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts , 2007, Nature Protocols.
[85] T. Dornan,et al. Evaluation of an electrochemical sensor for measuring blood ketones. , 2000, Diabetes care.
[86] Young-Kwan Kim,et al. Laser desorption/ionization mass spectrometric assay for phospholipase activity based on graphene oxide/carbon nanotube double-layer films. , 2010, Journal of the American Chemical Society.
[87] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[88] Chao Xu,et al. Sparsity-promoting elastic net method with rotations for high-dimensional nonlinear inverse problem , 2019, Computer Methods in Applied Mechanics and Engineering.
[89] Christian Pilarsky,et al. Glypican-1 identifies cancer exosomes and detects early pancreatic cancer , 2015, Nature.
[90] Michael I. Jordan,et al. Machine learning: Trends, perspectives, and prospects , 2015, Science.
[91] Ryan Stables,et al. Brain tumour differentiation: rapid stratified serum diagnostics via attenuated total reflection Fourier-transform infrared spectroscopy , 2016, Journal of Neuro-Oncology.
[92] D. Wishart. Emerging applications of metabolomics in drug discovery and precision medicine , 2016, Nature Reviews Drug Discovery.
[93] S. Braunstein,et al. Role of emergent palliative radiation therapy in the care of patients with cancer. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[94] Jingchao Li,et al. Molecular optical imaging probes for early diagnosis of drug-induced acute kidney injury , 2019, Nature Materials.
[95] A. Sodickson,et al. Recurrent CT, cumulative radiation exposure, and associated radiation-induced cancer risks from CT of adults. , 2009, Radiology.
[96] C. Frost,et al. Easy-separable magnetic nanoparticle-supported Pd catalysts: Kinetics, stability and catalyst re-use , 2009 .
[97] Richard E. Fan,et al. Diagnosis of prostate cancer by desorption electrospray ionization mass spectrometric imaging of small metabolites and lipids , 2017, Proceedings of the National Academy of Sciences.
[98] H. Huisman,et al. Prostate cancer: precision of integrating functional MR imaging with radiation therapy treatment by using fiducial gold markers. , 2005, Radiology.
[99] S. Aloni,et al. Formation of hollow silica colloids through a spontaneous dissolution-regrowth process. , 2008, Angewandte Chemie.