| Title |
Temporal characterization of serum metabolite signatures in lung cancer patients undergoing treatment
|
|---|---|
| Published in |
Metabolomics, February 2016
|
| DOI | 10.1007/s11306-016-0961-5 |
| Pubmed ID | |
| Authors |
Desirée Hao, M. Omair Sarfaraz, Farshad Farshidfar, D. Gwyn Bebb, Camelia Y. Lee, Cynthia M. Card, Marilyn David, Aalim M. Weljie |
| Abstract |
Lung cancer causes more deaths in men and women than any other cancer related disease. Currently, few effective strategies exist to predict how patients will respond to treatment. We evaluated the serum metabolomic profiles of 25 lung cancer patients undergoing chemotherapy ± radiation to evaluate the feasibility of metabolites as temporal biomarkers of clinical outcomes. Serial serum specimens collected prospectively from lung cancer patients were analyzed using both nuclear magnetic resonance ((1)H-NMR) spectroscopy and gas chromatography mass spectrometry (GC-MS). Multivariate statistical analysis consisted of unsupervised principal component analysis or orthogonal partial least squares discriminant analysis with significance assessed using a cross-validated ANOVA. The metabolite profiles were reflective of the temporal distinction between patient samples before during and after receiving therapy ((1)H-NMR, p < 0.001: and GC-MS p < 0.01). Disease progression and survival were strongly correlative with the GC-MS metabolite data whereas stage and cancer type were associated with (1)H-NMR data. Metabolites such as hydroxylamine, tridecan-1-ol, octadecan-1-ol, were indicative of survival (GC-MS p < 0.05) and metabolites such as tagatose, hydroxylamine, glucopyranose, and threonine that were reflective of progression (GC-MS p < 0.05). Metabolite profiles have the potential to act as prognostic markers of clinical outcomes for lung cancer patients. Serial (1)H-NMR measurements appear to detect metabolites diagnostic of tumor pathology, while GC-MS provided data better related to prognostic clinical outcomes, possibility due to physiochemical bias related to specific biochemical pathways. These results warrant further study in a larger cohort and with various treatment options. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Qatar | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Portugal | 1 | 2% |
| Germany | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 51 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 20% |
| Student > Ph. D. Student | 8 | 15% |
| Student > Master | 6 | 11% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Other | 12 | 22% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 22% |
| Medicine and Dentistry | 9 | 16% |
| Agricultural and Biological Sciences | 8 | 15% |
| Chemistry | 6 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 13 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 June 2016.
All research outputs
#12,753,746
of 22,852,911 outputs
Outputs from Metabolomics
#566
of 1,295 outputs
Outputs of similar age
#130,768
of 297,542 outputs
Outputs of similar age from Metabolomics
#26
of 58 outputs
Altmetric has tracked 22,852,911 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,295 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 54% of its peers.
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We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.