Summary of Study ST003045

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 PR001895. The data can be accessed directly via it's Project DOI: 10.21228/M8S14W This work is supported by NIH grant, U2C- DK119886.

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This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST003045
Study TitleProteomic and metabolomic signatures of rectal tumor discriminate patients with different responses to preoperative radiotherapy
Study SummaryBackground: Neoadjuvant radiotherapy (neo-RT) is widely used in locally advanced rectal cancer (LARC) as a component of radical treatment. Despite the advantages of neo-RT, which typically improves outcomes in LARC patients, the lack of reliable biomarkers that predict response and monitor the efficacy of therapy, can result in the application of unnecessary aggressive therapy affecting patients’ quality of life. Hence, the search for molecular biomarkers for assessing the radio responsiveness of this cancer represents a relevant issue. Methods: Here, we combined proteomic and metabolomic approaches to identify molecular signatures, which could discriminate LARC tumors with good and poor responses to neo-RT. Results: The integration of data on differentially accumulated proteins and metabolites made it possible to identify disrupted metabolic pathways and signaling processes connected with response to irradiation, including ketone bodies synthesis and degradation, purine metabolism, energy metabolism, degradation of fatty acid, amino acid metabolism, and focal adhesion. Moreover, we proposed multi-component panels of proteins and metabolites which could serve as a solid base to develop biomarkers for monitoring and predicting the efficacy of preoperative RT in rectal cancer patients. Conclusions: We proved that an integrated multi-omic approach presents a valid look at the analysis of the global response to cancer treatment from the perspective of metabolomic reprogramming.
Institute
Institute of Bioorganic Chemistry Polish Academy of Sciences
Last NameWojakowska
First NameAnna
AddressNoskowskiego 12/14, Poznan, Greater Poland, 61-704, Poland
Emailastasz@ibch.poznan.pl
Phone+48616653051
Submit Date2024-01-17
Raw Data AvailableYes
Raw Data File Type(s)cdf
Analysis Type DetailGC-MS
Release Date2024-02-08
Release Version1
Anna Wojakowska Anna Wojakowska
https://dx.doi.org/10.21228/M8S14W
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN004995
Analysis type MS
Chromatography type GC
Chromatography system Thermo Trace 1310
Column Agilent DB5-MS (30m x 0.25mm, 0.25um)
MS Type EI
MS instrument type GC QQQ
MS instrument name Thermo TSQ8000
Ion Mode POSITIVE
Units normalized intensity

MS:

MS ID:MS004735
Analysis ID:AN004995
Instrument Name:Thermo TSQ8000
Instrument Type:GC QQQ
MS Type:EI
MS Comments:The electron ionization energy of the ion source, which operated in the range of 50-850 m/z, was set at 70 eV. The mixture of retention indexes (RI) containing alkanes was run before relevant analyses. Raw data files were analyzed using MSDial software (v. 4.92). The correction against the alkane series mixture (C-10-36) was implemented directly in MS Dial to generate the RI for each compound. The 28,220 records in the MSP database from the CompMS site were used to identify small molecules. Metabolite was considered as identified if the similarity index (SI) was above 80%. The following analyses did not include the identified artifacts (alkanes, column bleed, plasticizers, MSTFA, and reagents). Results that had been normalized (by applying the TIC approach) were exported and used in statistical analyses
Ion Mode:POSITIVE
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