Summary of Study ST001047
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000699. The data can be accessed directly via it's Project DOI: 10.21228/M8B10B This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST001047 |
| Study Title | 1H-NMR urinary metabolomic profiling for diagnosis of gastric cancer. |
| Study Summary | Background: Metabolomics has shown promise in gastric cancer (GC) detection. This research sought to identify whether GC has a unique urinary metabolomic profile compared with benign gastric disease (BN) and healthy (HE) patients. Methods: Urine from 43 GC, 40 BN, and 40 matched HE patients was analysed using 1H nuclear magnetic resonance (1H-NMR) spectroscopy, generating 77 reproducible metabolites (QC-RSD <25%). Univariate and multivariate (MVA) statistics were employed. A parsimonious biomarker profile of GC vs HE was investigated using LASSO regularised logistic regression (LASSO-LR). Model performance was assessed using Receiver Operating Characteristic (ROC) curves. Results: GC displayed a clear discriminatory biomarker profile; the BN profile overlapped with GC and HE. LASSO-LR identified three discriminatory metabolites: 2-hydroxyisobutyrate, 3-indoxylsulfate, and alanine, which produced a discriminatory model with an area under the ROC of 0.95. Conclusions: GC patients have a distinct urinary metabolite profile. This study shows clinical potential for metabolic profiling for early GC diagnosis. |
| Institute | University of Alberta |
| Last Name | Broadhurst |
| First Name | David |
| Address | Department of Medicine, 4126A Katz Group Centre for Pharmacy & Health, University of Alberta, Edmonton, AB T6G 2E1, Canada. |
| d.broadhurst@ecu.edu.au | |
| Phone | +61 8 6304 2705 |
| Submit Date | 2018-09-03 |
| Publications | Chan, A. W., Mercier, P., Schiller, D., Bailey, R., Robbins, S., Eurich, D. T., Sawyer, M. B., Broadhurst, D. (2016). 1H-NMR urinary metabolomic profiling for diagnosis of gastric cancer. British Journal of Cancer, 114(1), 59-62. doi:10.1038/bjc.2015.414 |
| Raw Data File Type(s) | d |
| Analysis Type Detail | NMR |
| Release Date | 2018-10-10 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample_Type |
|---|---|---|
| SA070432 | sample_37 | QC |
| SA070433 | sample_46 | QC |
| SA070434 | sample_28 | QC |
| SA070435 | sample_118 | QC |
| SA070436 | sample_19 | QC |
| SA070437 | sample_100 | QC |
| SA070438 | sample_91 | QC |
| SA070439 | sample_1 | QC |
| SA070440 | sample_73 | QC |
| SA070441 | sample_82 | QC |
| SA070442 | sample_64 | QC |
| SA070443 | sample_127 | QC |
| SA070444 | sample_55 | QC |
| SA070445 | sample_109 | QC |
| SA070446 | sample_136 | QC |
| SA070447 | sample_10 | QC |
| SA070448 | sample_140 | QC |
| SA070449 | sample_135 | Sample |
| SA070450 | sample_93 | Sample |
| SA070451 | sample_92 | Sample |
| SA070452 | sample_90 | Sample |
| SA070453 | sample_94 | Sample |
| SA070454 | sample_96 | Sample |
| SA070455 | sample_134 | Sample |
| SA070456 | sample_101 | Sample |
| SA070457 | sample_99 | Sample |
| SA070458 | sample_98 | Sample |
| SA070459 | sample_89 | Sample |
| SA070460 | sample_97 | Sample |
| SA070461 | sample_95 | Sample |
| SA070462 | sample_87 | Sample |
| SA070463 | sample_139 | Sample |
| SA070464 | sample_80 | Sample |
| SA070465 | sample_79 | Sample |
| SA070466 | sample_78 | Sample |
| SA070467 | sample_77 | Sample |
| SA070468 | sample_81 | Sample |
| SA070469 | sample_138 | Sample |
| SA070470 | sample_137 | Sample |
| SA070471 | sample_86 | Sample |
| SA070472 | sample_85 | Sample |
| SA070473 | sample_84 | Sample |
| SA070474 | sample_83 | Sample |
| SA070475 | sample_88 | Sample |
| SA070476 | sample_102 | Sample |
| SA070477 | sample_120 | Sample |
| SA070478 | sample_121 | Sample |
| SA070479 | sample_119 | Sample |
| SA070480 | sample_131 | Sample |
| SA070481 | sample_117 | Sample |
| SA070482 | sample_132 | Sample |
| SA070483 | sample_122 | Sample |
| SA070484 | sample_123 | Sample |
| SA070485 | sample_126 | Sample |
| SA070486 | sample_129 | Sample |
| SA070487 | sample_130 | Sample |
| SA070488 | sample_125 | Sample |
| SA070489 | sample_124 | Sample |
| SA070490 | sample_116 | Sample |
| SA070491 | sample_115 | Sample |
| SA070492 | sample_107 | Sample |
| SA070493 | sample_108 | Sample |
| SA070494 | sample_106 | Sample |
| SA070495 | sample_105 | Sample |
| SA070496 | sample_103 | Sample |
| SA070497 | sample_104 | Sample |
| SA070498 | sample_76 | Sample |
| SA070499 | sample_133 | Sample |
| SA070500 | sample_113 | Sample |
| SA070501 | sample_114 | Sample |
| SA070502 | sample_112 | Sample |
| SA070503 | sample_111 | Sample |
| SA070504 | sample_110 | Sample |
| SA070505 | sample_128 | Sample |
| SA070506 | sample_71 | Sample |
| SA070507 | sample_24 | Sample |
| SA070508 | sample_25 | Sample |
| SA070509 | sample_26 | Sample |
| SA070510 | sample_23 | Sample |
| SA070511 | sample_22 | Sample |
| SA070512 | sample_20 | Sample |
| SA070513 | sample_21 | Sample |
| SA070514 | sample_27 | Sample |
| SA070515 | sample_29 | Sample |
| SA070516 | sample_34 | Sample |
| SA070517 | sample_35 | Sample |
| SA070518 | sample_33 | Sample |
| SA070519 | sample_32 | Sample |
| SA070520 | sample_30 | Sample |
| SA070521 | sample_31 | Sample |
| SA070522 | sample_18 | Sample |
| SA070523 | sample_17 | Sample |
| SA070524 | sample_6 | Sample |
| SA070525 | sample_7 | Sample |
| SA070526 | sample_5 | Sample |
| SA070527 | sample_4 | Sample |
| SA070528 | sample_2 | Sample |
| SA070529 | sample_3 | Sample |
| SA070530 | sample_8 | Sample |
| SA070531 | sample_9 | Sample |
