The role of induction chemotherapy (iCHT) in locally advanced head and neck squamous cell carcinoma (LA-HNSCC) is still to be established due to high toxicity and variable response rates. The aim of this retrospective study is to use NMR-based serum metabolomics to predict the response rates to iCHT from the pretreatment samples. The studied group consisted of 46 LA-HNSCC patients treated with iCHT. The response to the treatment was evaluated by the clinical, fiberoptic, and radiological...
[NMR paper] Rapid estimation approach for glycosylated serum protein of human serum based on the combination of deep learning and TD-NMR technology
Rapid estimation approach for glycosylated serum protein of human serum based on the combination of deep learning and TD-NMR technology
Rapid and precise estimation of glycosylated serum protein (GSP) of human serum is of great importance for the treatment and diagnosis of diabetes mellitus. In this study, we propose a novel method for estimation of GSP level based on the combination of deep learning and time domain nuclear magnetic resonance (TD-NMR) transverse relaxation signal of human serum. Specifically, a principal component analysis (PCA)-enhanced one-dimensional convolutional...
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03-10-2023 06:48 PM
[NMR paper] Metabolomics by NMR Combined with Machine Learning to Predict Neoadjuvant Chemotherapy Response for Breast Cancer
Metabolomics by NMR Combined with Machine Learning to Predict Neoadjuvant Chemotherapy Response for Breast Cancer
Neoadjuvant chemotherapy (NACT) is offered to patients with operable or inoperable breast cancer (BC) to downstage the disease. Clinical responses to NACT may vary depending on a few known clinical and biological features, but the diversity of responses to NACT is not fully understood. In this study, 80 women had their metabolite profiles of pre-treatment sera analyzed for potential NACT response biomarker candidates in combination with immunohistochemical parameters using...
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10-28-2022 07:57 AM
[NMR paper] An improved NMR approach for metabolomics of intact serum samples
An improved NMR approach for metabolomics of intact serum samples
NMR metabolomics has inherent capabilities for studying biofluids, such as reproducibility, minimal sample preparation, non-destructiveness, and molecular structure elucidation; however, reliable quantitation of metabolites is still a challenge because of the complex matrix of the samples. The serum is one of the most common samples in clinical studies but possibly the most difficult for NMR analysis because of the high content of proteins, which hampers the detection and quantification of...
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07-24-2022 04:03 PM
[NMR paper] Detection of Lung Cancer via Blood Plasma and (1)H-NMR Metabolomics: Validation by a Semi-Targeted and Quantitative Approach Using a Protein-Binding Competitor
Detection of Lung Cancer via Blood Plasma and (1)H-NMR Metabolomics: Validation by a Semi-Targeted and Quantitative Approach Using a Protein-Binding Competitor
Metabolite profiling of blood plasma, by proton nuclear magnetic resonance (¹H-NMR) spectroscopy, offers great potential for early cancer diagnosis and unraveling disruptions in cancer metabolism. Despite the essential attempts to standardize pre-analytical and external conditions, such as pH or temperature, the donor-intrinsic plasma protein concentration is highly overlooked. However, this is of utmost importance, since several...
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08-27-2021 03:49 PM
[NMR paper] 1H-NMR Based Serum Metabolomics Identifies Different Profile between Sarcopenia and Cancer Cachexia in Ageing Walker 256 Tumour-Bearing Rats.
1H-NMR Based Serum Metabolomics Identifies Different Profile between Sarcopenia and Cancer Cachexia in Ageing Walker 256 Tumour-Bearing Rats.
Related Articles 1H-NMR Based Serum Metabolomics Identifies Different Profile between Sarcopenia and Cancer Cachexia in Ageing Walker 256 Tumour-Bearing Rats.
Metabolites. 2020 Apr 21;10(4):
Authors: Viana LR, Lopes-Aguiar L, Rossi Rosolen R, Willians Dos Santos R, Cintra Gomes-Marcondes MC
Abstract
Sarcopenia among the older population has been growing over the last few years. In addition,...
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04-25-2020 12:56 PM
[NMR paper] NMR spectroscopy of filtered serum of prostate cancer: A new frontier in metabolomics.
NMR spectroscopy of filtered serum of prostate cancer: A new frontier in metabolomics.
Related Articles NMR spectroscopy of filtered serum of prostate cancer: A new frontier in metabolomics.
Prostate. 2016 Sep;76(12):1106-19
Authors: Kumar D, Gupta A, Mandhani A, Sankhwar SN
Abstract
BACKGROUND: To address the shortcomings of digital rectal examinations (DRE), serum prostate-specific antigen (PSA), and trans-rectal ultrasound (TRUS) for precise determination of prostate cancer (PC) and differentiation from benign prostatic...
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07-14-2017 01:53 PM
[NMR paper] Whole Blood Reveals More Metabolic Detail of the Human Metabolome than Serum as Measured by 1H-NMR Spectroscopy: Implications for Sepsis Metabolomics.
Whole Blood Reveals More Metabolic Detail of the Human Metabolome than Serum as Measured by 1H-NMR Spectroscopy: Implications for Sepsis Metabolomics.
http://www.bionmr.com//www.ncbi.nlm.nih.gov/corehtml/query/egifs/http:--pt.wkhealth.com-pt-pt-core-template-journal-lwwgateway-images-pmlogoPubMed.jpg Related Articles Whole Blood Reveals More Metabolic Detail of the Human Metabolome than Serum as Measured by 1H-NMR Spectroscopy: Implications for Sepsis Metabolomics.
Shock. 2015 Sep;44(3):200-8
Authors: Stringer KA, Younger JG, McHugh C, Yeomans L,...
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05-03-2016 01:13 PM
[NMR paper] A systematic approach to obtain validated partial least square models for predicting lipoprotein subclasses from serum NMR spectra.
A systematic approach to obtain validated partial least square models for predicting lipoprotein subclasses from serum NMR spectra.
http://www.bionmr.com//www.ncbi.nlm.nih.gov/corehtml/query/egifs/http:--pubs.acs.org-images-pubmed-acspubs.jpg Related Articles A systematic approach to obtain validated partial least square models for predicting lipoprotein subclasses from serum NMR spectra.
Anal Chem. 2014 Jan 7;86(1):543-50
Authors: Mihaleva VV, van Schalkwijk DB, de Graaf AA, van Duynhoven J, van Dorsten FA, Vervoort J, Smilde A, Westerhuis JA,...
NMR-Based Metabolomics of Blood Serum in Predicting Response to Induction Chemotherapy in Head and Neck Cancer-A Preliminary Approach
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