Dataset Information

Human plasma metabolomics for identifying differential metabolites and predicting molecular subtypes of breast cancer.

ABSTRACT:

Purpose

This work aims to identify differential metabolites and predicting molecular subtypes of breast cancer (BC).

Methods

Plasma samples were collected from 96 BC patients and 79 normal participants. Metabolic profiles were determined by liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry based on multivariate statistical data analysis.

Results

We observed 64 differential metabolites between BC and normal group. Compared to human epidermal growth factor receptor 2 (HER2)-negative patients, HER2-positive group showed elevated aerobic glycolysis, gluconeogenesis, and increased fatty acid biosynthesis with reduced Krebs cycle. Compared with estrogen receptor (ER)-negative group, ER-positive patients showed elevated alanine, aspartate and glutamate metabolism, decreased glycerolipid catabolism, and enhanced purine metabolism. A panel of 8 differential metabolites, including carnitine, lysophosphatidylcholine (20:4), proline, alanine, lysophosphatidylcholine (16:1), glycochenodeoxycholic acid, valine, and 2-octenedioic acid, was identified for the classification of BC subtypes. These markers showed potential diagnostic value with average area under the curve at 0.925 (95% CI 0.867-0.983) for the training set (n=51) and 0.893 (95% CI 0.847-0.939) for the test set (n=45).

Conclusion

Human plasma metabolomics is useful in identifying differential metabolites and predicting breast cancer subtypes.

SUBMITTER: Fan Y

PROVIDER: S-EPMC4891093 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Human plasma metabolomics for identifying differential metabolites and predicting molecular subtypes of breast cancer.

Fan Yong Y Zhou Xin X Xia Tian-Song TS Chen Zhuo Z Li Jin J Liu Qun Q Alolga Raphael N RN Chen Yan Y Lai Mao-De MD Li Ping P Zhu Wei W Qi Lian-Wen LW

Oncotarget 20160301 9

<h4>Purpose</h4>This work aims to identify differential metabolites and predicting molecular subtypes of breast cancer (BC).<h4>Methods</h4>Plasma samples were collected from 96 BC patients and 79 normal participants. Metabolic profiles were determined by liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry based on multivariate statistical data analysis.<h4>Results</h4>We observed 64 differential metabolites between BC and normal group. Compared to human epidermal gr ...[more]

PMID: 26848530

Similar Datasets

Project description:BackgroundFeatures in preoperative ultrasound could predict the prognosis of triple-negative breast cancer (TNBC), while its prognostic value in other molecular subtypes of breast cancer (BC) was unknown. The study aimed to assess the prognostic value of preoperative sonographic features, including orientations, on long-term outcomes in BC and its association with different molecular subtypes.MethodsWomen diagnosed with invasive BC > 5 mm who underwent surgery were retrospectively reviewed. Clinical, pathological, and sonographic profiles were collected and recurrence-free survival (RFS) and breast cancer-specific survival (BCSS) were reported. Interactions between clinicopathological features and tumor orientations in predicting RFS and BCSS were analyzed. Competing risk model was performed to estimate prognostic values of sonographic features for RFS and BCSS.ResultsA total of 2812 patients were included. With a median follow-up of 60.0 months, 268 (9.5%) patients suffered from recurrences and 104 (3.7%) died of BC. The prognostic values of vertical orientation in predicting RFS (P = .001) and BCSS (P = .001) were strongly associated with molecular subtypes. Non-TNBC tumors with vertical orientation had less recurrence events compared with parallel orientation (6.3% vs 8.7%, P = .035), whereas failed to predict disease outcomes in multivariate analysis (P > .05). Oppositely, in TNBC, vertical orientation was associated with worse RFS (HR = 3.50; 95% confidence interval [CI] 1.69-7.24; P < .001) and BCSS (HR = 6.36; 95% CI 2.86-14.14; P < .001) in multivariate analysis with a 5-year RFS and BCSS of 73.4% and 74.6%. Meanwhile, vertical orientation was related with smaller tumor size (P < .001), human epidermal growth factor receptor 2 nonamplification (P < .001), and lower Ki-67 expression (P = .001) among non-TNBC population, whereas TNBC tumors with vertical orientation had a higher burden of axillary lymph node metastases (2.8 ± 1.0 vs 1.4 ± 0.2, P = .001).ConclusionsPrognostic values of sonographic orientation in predicting BC disease outcomes were associated with molecular subtypes. Vertical orientation in preoperative sonogram may serve as a prognostic biomarker for TNBC patients.

Dataset Information

Human plasma metabolomics for identifying differential metabolites and predicting molecular subtypes of breast cancer.

Purpose

Methods

Results

Conclusion

Publications

Human plasma metabolomics for identifying differential metabolites and predicting molecular subtypes of breast cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets