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.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

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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Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Experimental factor
SA330493GR_296GR
SA330494GR_282GR
SA330495GR_186GR
SA330496GR_384GR
SA330497GR_386GR
SA330498GR_415GR
SA330499GR_406GR
SA330500GR_153GR
SA330501GR_63GR
SA330502GR_50GR
SA330503PR_12PR
SA330504PR_401PR
SA330505PR_398PR
SA330506PR_92PR
SA330507PR_100PR
SA330508PR_150PR
SA330509PR_148PR
SA330510PR_260PR
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