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Metabolite Biomarkers for the Detection of Esophageal Cancer Using NMR

a metabolite biomarker and esophageal cancer technology, applied in the field of small molecule biomarkers, can solve the problems of not being able to predict the treatment outcome, no current reliable method for early detection or treatment, and unable to prevent the progression of be or hgd to esophageal cancer

Inactive Publication Date: 2014-05-29
INDIANA UNIV RES & TECH CORP
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  • Summary
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  • Description
  • Claims
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AI Technical Summary

Benefits of technology

The patent text describes methods for detecting and screening for esophageal adenocarcinoma (EAC) using small molecule metabolite biomarkers. These biomarkers can be measured in samples of bodily fluids, such as urine or saliva, and can be used to classify the stage of EAC or to monitor the progress of treatment. The biomarkers are specific and sensitive for detecting EAC, and can be used in combination with other biomarkers or with a panel of biomarkers to improve accuracy. The methods can help to early detect and screen for EAC, and can also be used to monitor the effectiveness of treatment.

Problems solved by technology

However, the incidence of adenocarcinoma is rising at a rapid rate.
Moreover, there is no currently reliable method for early detection or for the prediction of treatment outcome.
However, no intervention currently exists that prevents the progression of BE or HGD to esophageal cancer.
The traditional methods for diagnosing esophageal cancer include endoscopy and barium swallow, but the poor specificity and sensitivity of these methods results in their detection only at an advanced stage.
However, biomarkers effective at a potentially curative stage are lacking.

Method used

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  • Metabolite Biomarkers for the Detection of Esophageal Cancer Using NMR
  • Metabolite Biomarkers for the Detection of Esophageal Cancer Using NMR
  • Metabolite Biomarkers for the Detection of Esophageal Cancer Using NMR

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example 1

[0071]1H NMR-based metabolite profiling analysis is shown to be an effective approach for differentiating EAC patients and healthy subjects. Eight metabolites showed significant differences in their levels between cancer and control based on the Student's t-test, as shown in Table 4 and FIG. 3A-3D. A PLS-DA model built on these metabolites provided excellent classification between cancer and control, with the area under the receiver operating characteristic curve (AUROC) of >0.85 for both training and validation sample sets. Evaluated by the same model, the BE samples were of mixed classification and HGD samples were mostly classified as EAC samples. A pathway study indicated that altered energy metabolism and changes in the TCA cycle were the dominant factors in EAC biochemistry.

[0072]Chemicals. Deuterium oxide (D2O, 99.9% D) was purchased from Cambridge Isotope Laboratories, Inc. (Andover, Mass.). Trimethylsilylpropionic acid-d4 sodium salt (TSP), tridecanoic acid, chlorophenylala...

example 2

[0094]The LC-MS spectrum for each serum sample consisted of more than 5000 features of which nearly 1400 peaks were assigned to metabolites using the Agilent database. Peaks from the spectra that were missing in more than 10% of the samples from any group were omitted from further analysis. The use of this filter and the Agilent chemical library resulted in a total of approximately 200 identified metabolites common to all the groups. These identified metabolites were analyzed using univariate analysis. The results showed that 40 metabolites varied significantly (p<0.05) between either EAC and normal controls, EAC and high-risk patients (BE and HGD patients), or high-risk patients and normal controls. Thirteen of these metabolites could be verified from the mass spectra and retention times of the authentic commercial compounds.

[0095]Table 9 lists the verified metabolites from LC-MS along with their formulae, masses and retention times. Similarly, as shown in Table 10, fifteen patient...

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Abstract

Methods for the detection and screening of esophageal adenocarcinoma (EAC) patients and for the monitoring of EAC treatment using a panel or panels of small molecule metabolite biomarkers are disclosed. In other aspects, methods for detection and screening for the progression of high-risk conditions (BE and HGD) to EAC and to monitoring treatment using a panel or panels of small molecule metabolite biomarkers are disclosed. The biomarkers are sensitive and specific for the detection of EAC, and can also be used to classify Barrett's esophagus (BE) and high-grade dysplasia (HGD), which are widely regarded as precursors of EAC.

Description

RELATED APPLICATIONS[0001]This application is a continuation of co-pending U.S. patent aplication Ser. No. 13 / 226,256, filed Sep. 6, 2011, and claims benefit of U.S. Provisional Patent Application 61 / 402,729, filed Sep. 3, 2010, and U.S. Provisional Patent Application 61 / 403,910, filed Sep. 23, 2010, the entire contents of which are incorporated by reference for all purposes.TECHNICAL FIELD[0002]The present disclosure generally relates to small molecule biomarkers comprising a set of metabolite species that is effective for the early detection of esophageal cancer, including methods for identifying such biomarkers within biological samples.BACKGROUND[0003]Esophageal cancer is a leading cause of death from cancer worldwide. The two principal types of esophageal cancer are squamous cell carcinoma and adenocarcinoma. Both are relatively uncommon in the U.S., comprising approximately 1% of all cancers. However, the incidence of adenocarcinoma is rising at a rapid rate. According to a re...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G01N27/74
CPCG01N33/57488G01N2570/00G01N27/74
Inventor RAFTERY, M. DANIELZHANG, JIANHAMMOUD, ZANE
Owner INDIANA UNIV RES & TECH CORP
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