Matches in SemOpenAlex for { <https://semopenalex.org/work/W2039343804> ?p ?o ?g. }
- W2039343804 endingPage "307" @default.
- W2039343804 startingPage "297" @default.
- W2039343804 abstract "Breast cancer is a clinically heterogeneous disease, which necessitates a variety of treatments and leads to different outcomes. As an example, only some women will benefit from chemotherapy. Identifying patients who will respond to chemotherapy and thereby improve their long-term survival has important implications to treatment protocols and outcomes, while identifying non responders may enable these patients to avail themselves of other investigational approaches or other potentially effective treatments. In this study, serum metabolite profiling was performed to identify potential biomarker candidates that can predict response to neoadjuvant chemotherapy for breast cancer. Metabolic profiles of serum from patients with complete (n = 8), partial (n = 14) and no response (n = 6) to chemotherapy were studied using a combination of nuclear magnetic resonance (NMR) spectroscopy, liquid chromatography–mass spectrometry (LC–MS) and statistical analysis methods. The concentrations of four metabolites, three (threonine, isoleucine, glutamine) from NMR and one (linolenic acid) from LC–MS were significantly different when comparing response to chemotherapy. A prediction model developed by combining NMR and MS derived metabolites correctly identified 80% of the patients whose tumors did not show complete response to chemotherapy. These results show promise for larger studies that could result in more personalized treatment protocols for breast cancer patients." @default.
- W2039343804 created "2016-06-24" @default.
- W2039343804 creator A5011069826 @default.
- W2039343804 creator A5016235714 @default.
- W2039343804 creator A5023366064 @default.
- W2039343804 creator A5040233864 @default.
- W2039343804 creator A5041772630 @default.
- W2039343804 creator A5044127323 @default.
- W2039343804 creator A5057209439 @default.
- W2039343804 creator A5070278022 @default.
- W2039343804 creator A5082565174 @default.
- W2039343804 creator A5084436902 @default.
- W2039343804 creator A5086791040 @default.
- W2039343804 date "2012-10-25" @default.
- W2039343804 modified "2023-10-16" @default.
- W2039343804 title "Metabolomics approach for predicting response to neoadjuvant chemotherapy for breast cancer" @default.
- W2039343804 cites W1566210456 @default.
- W2039343804 cites W1968593126 @default.
- W2039343804 cites W1968813633 @default.
- W2039343804 cites W1969889522 @default.
- W2039343804 cites W1970016863 @default.
- W2039343804 cites W1976240678 @default.
- W2039343804 cites W1976841916 @default.
- W2039343804 cites W1978158030 @default.
- W2039343804 cites W1989227752 @default.
- W2039343804 cites W2007352226 @default.
- W2039343804 cites W2009765233 @default.
- W2039343804 cites W2015186052 @default.
- W2039343804 cites W2017794382 @default.
- W2039343804 cites W2018544102 @default.
- W2039343804 cites W2020182172 @default.
- W2039343804 cites W2044907292 @default.
- W2039343804 cites W2051463368 @default.
- W2039343804 cites W2053387982 @default.
- W2039343804 cites W2053690403 @default.
- W2039343804 cites W2055255976 @default.
- W2039343804 cites W2057048811 @default.
- W2039343804 cites W2058241083 @default.
- W2039343804 cites W2060041328 @default.
- W2039343804 cites W2063523286 @default.
- W2039343804 cites W2070646473 @default.
- W2039343804 cites W2075373098 @default.
- W2039343804 cites W2080450658 @default.
- W2039343804 cites W2083340629 @default.
- W2039343804 cites W2083479280 @default.
- W2039343804 cites W2090406819 @default.
- W2039343804 cites W2092155681 @default.
- W2039343804 cites W2093265805 @default.
- W2039343804 cites W2096738399 @default.
- W2039343804 cites W2100463095 @default.
- W2039343804 cites W2103321886 @default.
- W2039343804 cites W2104854233 @default.
- W2039343804 cites W2105882193 @default.
- W2039343804 cites W2107363389 @default.
- W2039343804 cites W2108195113 @default.
- W2039343804 cites W2109462843 @default.
- W2039343804 cites W2112861594 @default.
- W2039343804 cites W2113841018 @default.
- W2039343804 cites W2115436242 @default.
- W2039343804 cites W2120861328 @default.
- W2039343804 cites W2123329317 @default.
- W2039343804 cites W2125181296 @default.
- W2039343804 cites W2125396123 @default.
- W2039343804 cites W2126605161 @default.
- W2039343804 cites W2128985829 @default.
- W2039343804 cites W2133309292 @default.
- W2039343804 cites W2133585870 @default.
- W2039343804 cites W2133764807 @default.
- W2039343804 cites W2134326673 @default.
- W2039343804 cites W2139510434 @default.
- W2039343804 cites W2139782977 @default.
- W2039343804 cites W2143910081 @default.
- W2039343804 cites W2150747324 @default.
- W2039343804 cites W2154142993 @default.
- W2039343804 cites W2155680682 @default.
- W2039343804 cites W2160731999 @default.
- W2039343804 cites W2162760540 @default.
- W2039343804 cites W2164774797 @default.
- W2039343804 cites W4250684226 @default.
- W2039343804 cites W65546898 @default.
- W2039343804 doi "https://doi.org/10.1016/j.molonc.2012.10.003" @default.
- W2039343804 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5528483" @default.
- W2039343804 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23142658" @default.
- W2039343804 hasPublicationYear "2012" @default.
- W2039343804 type Work @default.
- W2039343804 sameAs 2039343804 @default.
- W2039343804 citedByCount "111" @default.
- W2039343804 countsByYear W20393438042013 @default.
- W2039343804 countsByYear W20393438042014 @default.
- W2039343804 countsByYear W20393438042015 @default.
- W2039343804 countsByYear W20393438042016 @default.
- W2039343804 countsByYear W20393438042017 @default.
- W2039343804 countsByYear W20393438042018 @default.
- W2039343804 countsByYear W20393438042019 @default.
- W2039343804 countsByYear W20393438042020 @default.
- W2039343804 countsByYear W20393438042021 @default.
- W2039343804 countsByYear W20393438042022 @default.
- W2039343804 countsByYear W20393438042023 @default.