MDPI Contact

MDPI AG
St. Alban-Anlage 66,
4052 Basel, Switzerland
Support contact
Tel. +41 61 683 77 34
Fax: +41 61 302 89 18

For more contact information, see here.

Advanced Search

You can use * to search for partial matches.

Search Results

1 article matched your search query. Search Parameters:
Authors = Zongmei Wen

Matches by word:

ZONGMEI (1) , WEN (1891)

View options
order results:
result details:
results per page:
Articles per page View Sort by
Displaying article 1-50 on page 1 of 1.
Export citation of selected articles as:
Open AccessArticle Metabolic Profiling of Plasma from Benign and Malignant Pulmonary Nodules Patients Using Mass Spectrometry-Based Metabolomics
Metabolites 2013, 3(3), 539-551; doi:10.3390/metabo3030539
Received: 3 May 2013 / Revised: 7 June 2013 / Accepted: 24 June 2013 / Published: 4 July 2013
Cited by 5 | Viewed by 2366 | PDF Full-text (637 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Solitary pulmonary nodule (SPN or coin lesion) is a mass in the lung and can be commonly found in chest X-rays or computerized tomography (CT) scans. However, despite the advancement of imaging technologies, it is still difficult to distinguish malignant cancer from benign
[...] Read more.
Solitary pulmonary nodule (SPN or coin lesion) is a mass in the lung and can be commonly found in chest X-rays or computerized tomography (CT) scans. However, despite the advancement of imaging technologies, it is still difficult to distinguish malignant cancer from benign SPNs. Here we investigated the metabolic profiling of patients with benign and malignant pulmonary nodules. A combination of gas chromatography/mass spectrometry (GC/MS) and liquid chromatography/mass spectrometry (LC/MS) was used to profile the plasma metabolites in 17 patients with malignant SPNs, 15 patients with benign SPNs and 20 healthy controls. The metabolic profiles were assayed using OPLS-DA, and further analyzed to identify marker metabolites related to diseases. Both GC/MS- and LC/MS-derived models showed clear discriminations in metabolic profiles among three groups. It was found that 63 metabolites (12 from GC/MS, 51 from LC/MS) contributed to the differences. Of these, 48 metabolites showed same change trend in both malignant and benign SPNs as compared with healthy controls, indicating some common pathways including inflammation and oxidative injury shared by two diseases. In contrast, 14 metabolites constituted distinct profiles that differentiated malignant from benign SPNs, which might be a unique biochemical feature associated with lung cancer. Overall, our data suggested that integration of two highly sensitive and complementary metabolomics platforms could enable a comprehensive metabolic profiling and assist in discrimination malignant from benign SPNs. Full article
(This article belongs to the Special Issue Cancer Metabolomics)

Years

Subjects

Refine Subjects

Journals

Refine Journals

Article Types

Refine Types

Countries

Refine Countries
Back to Top