Understanding metabolomic characteristics of pancreatic ductal adenocarcinoma by HR-MAS NMR detection of pancreatic tissues

Wang, Sanxi; Su, Wen Pang; Guo, Ping; Liu, Huili; Feng, Jianghua; Huang, Heguang

doi:10.1016/j.jpba.2020.113546

Cited by 8 publications

(11 citation statements)

References 37 publications

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“…Of which, tumor central carbon metabolism, including glycolysis, glutaminolysis, AA metabolism, FA biosynthesis, and nucleotide metabolism, was the most significantly perturbed metabolic pathway in PDAC. The result is partially consistent with other previous reports 18,42,43 . According to Wang et al, 18 the perturbed pathway in PDAC patients is mainly related to glycerophospholipid metabolism, glycolysis, and gluconeogenesis.…”

Section: Discussionsupporting

confidence: 93%

“…The result is partially consistent with other previous reports. 18 , 42 , 43 According to Wang et al, 18 the perturbed pathway in PDAC patients is mainly related to glycerophospholipid metabolism, glycolysis, and gluconeogenesis. Several reports have revealed that enhanced glutaminolysis can provide sufficient NADPH to support FA biosynthesis and can be a source of nitrogen for the biosynthesis of nucleotides and nonessential AAs.…”

Section: Discussionmentioning

confidence: 99%

“… 16 In addition, compared with body fluids, tissue metabolism can provide metabolic deregulations more directly and can better reveal the pathogenesis of diseases and has a better chance of discovering potential diagnostic biomarkers and therapeutic targets. 17 To our knowledge, only a few studies have used tumor tissue samples from PDAC patients for metabolomics analysis, 18 , 19 and their sample sizes were relatively small. Besides, comparative study on metabolic signatures of PDAC tumor tissues and biofluids is very limited.…”

Section: Introductionmentioning

confidence: 99%

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Biomarkers for pancreatic cancer based on tissue and serum metabolomics analysis in a multicenter study

Zhao

Ren

et al. 2022

Cancer Medicine

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Background Early detection of pancreatic ductal adenocarcinoma (PDAC) may improve the prognosis of patients. This study was to identify metabolic features of PDAC and to discover early detection biomarkers for PDAC by tissue and serum metabolomics analysis. Methods We conducted nontargeted metabolomics analysis in tissue samples of 51 PDAC tumors, 40 noncancerous pancreatic tissues (NT), and 14 benign pancreatic neoplasms (BP) as well as serum samples from 80 patients with PDAC, 36 with BP, and 48 healthy controls (Ctr). The candidate metabolites identified from the initial analysis were further quantified using targeted analysis in serum samples of an independent cohort of 22 early stage PDAC, 27 BP, and 27 Ctr subjects. Unconditional binary logistic regression analysis was used to construct the optimal model for PDAC diagnosis. Results Upregulated levels of fatty acids and lipids and downregulated amino acids were observed in tissue and serum samples of PDAC patients. Proline, creatine, and palmitic acid were identified as a panel of potential biomarkers to distinguish PDAC from BP and Ctr (odds ratio = 2.17, [95% confidence interval 1.34–3.53]). The three markers showed area under the receiver‐operating characteristic curves (AUCs) of 0.854 and 0.865, respectively, for the comparison of PDAC versus Ctr and PDAC versus BP. The AUCs were 0.830 and 0.852 in the validation set and were improved to 0.949 and 0.909 when serum carbohydrate antigen 19‐9 (CA19‐9) was added to the model. Conclusion The novel metabolite biomarker panel identified in this study exhibited promising performance in distinguishing PDAC from BP or Ctr, especially in combination with CA19‐9.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Biomarkers for pancreatic cancer based on tissue and serum metabolomics analysis in a multicenter study

Zhao

Ren

et al. 2022

Cancer Medicine

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“…We identified 172 articles published over a two-year period (2019 and 2020) that used NMR metabolomics to analyse biospecimens from human patients [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 ,…”

Section: Resultsmentioning

confidence: 99%

Systematic Review of NMR-Based Metabolomics Practices in Human Disease Research

et al. 2022

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Nuclear magnetic resonance (NMR) spectroscopy is one of the principal analytical techniques for metabolomics. It has the advantages of minimal sample preparation and high reproducibility, making it an ideal technique for generating large amounts of metabolomics data for biobanks and large-scale studies. Metabolomics is a popular “omics” technology and has established itself as a comprehensive exploratory biomarker tool; however, it has yet to reach its collaborative potential in data collation due to the lack of standardisation of the metabolomics workflow seen across small-scale studies. This systematic review compiles the different NMR metabolomics methods used for serum, plasma, and urine studies, from sample collection to data analysis, that were most popularly employed over a two-year period in 2019 and 2020. It also outlines how these methods influence the raw data and the downstream interpretations, and the importance of reporting for reproducibility and result validation. This review can act as a valuable summary of NMR metabolomic workflows that are actively used in human biofluid research and will help guide the workflow choice for future research.

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“…In recent years, applications of HRMAS NMR-based metabolomics have been extended to a number of human diseases that were previously less studied, such as acute myeloid leukemia, 52 oral cancer, 53 hyperparathyroidism, 54 pancreatic adenocarcinomas, 55,56 hepatic metastases from small intestine neuroendocrine tumors, 57 cervical carcinoma and HPV infection, 58 pediatric liver tumors, 59 thyroid cancer, 60,61 locally advanced rectal cancer, 62 skin premalignant lesion, 63 epilepsy, 64 Alzheimer's disease, 65 chronic limb-threatening ischemia, 66 prediction of early allograft dysfunction for liver transplantation, 67 bone marrow adiposity tissue for postmenopausal women, 68 and metabolic alterations in urinary exosome pellets of a cardiometabolic signature. 28 Major study efforts also appear continuously for common malignant diseases, such as breast cancer, [69][70][71][72][73][74] prostate cancer, 16,75,76 and brain tumors, both for adults and children.…”

Section: Metabolomics Studies Of Human Diseasesmentioning

confidence: 99%

High‐resolution magic angle spinning NMR for intact biological specimen analysis: Initial discovery, recent developments, and future directions

Cheng

2022

NMR in Biomedicine

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High‐resolution magic angle spinning (HRMAS) NMR, an approach for intact biological material analysis discovered more than 25 years ago, has been advanced by many technical developments and applied to many biomedical uses. This article provides a history of its discovery, first by explaining the key scientific advances that paved the way for HRMAS NMR's invention, and then by turning to recent developments that have profited from applying and advancing the technique during the last 5 years. Developments aimed at directly impacting healthcare include HRMAS NMR metabolomics applications within studies of human disease states such as cancers, brain diseases, metabolic diseases, transplantation medicine, and adiposity. Here, the discussion describes recent HRMAS NMR metabolomics studies of breast cancer and prostate cancer, as well as of matching tissues with biofluids, multimodality studies, and mechanistic investigations, all conducted to better understand disease metabolic characteristics for diagnosis, opportune windows for treatment, and prognostication. In addition, HRMAS NMR metabolomics studies of plants, foods, and cell structures, along with longitudinal cell studies, are reviewed and discussed. Finally, inspired by the technique's history of discoveries and recent successes, future biomedical arenas that stand to benefit from HRMAS NMR‐initiated scientific investigations are presented.

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Understanding metabolomic characteristics of pancreatic ductal adenocarcinoma by HR-MAS NMR detection of pancreatic tissues

Cited by 8 publications

References 37 publications

Biomarkers for pancreatic cancer based on tissue and serum metabolomics analysis in a multicenter study

Biomarkers for pancreatic cancer based on tissue and serum metabolomics analysis in a multicenter study

Systematic Review of NMR-Based Metabolomics Practices in Human Disease Research

High‐resolution magic angle spinning NMR for intact biological specimen analysis: Initial discovery, recent developments, and future directions

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