2018
DOI: 10.1002/jms.4207
|View full text |Cite
|
Sign up to set email alerts
|

Accelerated, untargeted metabolomics analysis of cutaneous T‐cell lymphoma reveals metabolic shifts in plasma and tumor adjacent skins of xenograft mice

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
4
1

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 1 publication
(1 reference statement)
0
4
0
Order By: Relevance
“…In cutaneous T-cell lymphoma (CTCL), a class of NHL, and a heterogeneous group of skin-homing Tcell neoplasms, ultrahigh performance liquid chromatographyquadrupole (UHPLC-Q) TOF/MS and further LC/MS-MS determined the 36 potential biomarkers associated with CTCL, which are derived from CTCL plasma metabolic perturbations (36). In skin and plasma of CTCL mice, UHPLC-QTOF/MS also demonstrate that increased Lglutamate and decreased adenosine monophosphate are the most essential metabolic pathways of CTCL tumors and tumor adjacent skins (37). Data from GC-MS and UHPLC-QTOF/MS show that glycerophospholipid metabolism, tryptophan metabolism, and purine metabolism are altered pathways in serum samples from 31 patients with CTCL (38).…”
Section: Discussionmentioning
confidence: 99%
“…In cutaneous T-cell lymphoma (CTCL), a class of NHL, and a heterogeneous group of skin-homing Tcell neoplasms, ultrahigh performance liquid chromatographyquadrupole (UHPLC-Q) TOF/MS and further LC/MS-MS determined the 36 potential biomarkers associated with CTCL, which are derived from CTCL plasma metabolic perturbations (36). In skin and plasma of CTCL mice, UHPLC-QTOF/MS also demonstrate that increased Lglutamate and decreased adenosine monophosphate are the most essential metabolic pathways of CTCL tumors and tumor adjacent skins (37). Data from GC-MS and UHPLC-QTOF/MS show that glycerophospholipid metabolism, tryptophan metabolism, and purine metabolism are altered pathways in serum samples from 31 patients with CTCL (38).…”
Section: Discussionmentioning
confidence: 99%
“…Serum metabolomics analysis can identify high-risk DLBCL patients with failure of immunochemotherapy, which might provide another novel, non-invasive way for the diagnosis and prognosis of lymphoma [ 254 ]. A study on the skin and plasma of CTCL mice indicated that aberrant metabolites and metabolic pathways were essential metabolic features of CTCLs, whereas accumulative cytidine-5′-triphosphate in adjacent non-involved skin tissues led to CTCL further development [ 255 ]. Changes in lipid profiles provide new biological insights into how MYC regulates cellular metabolism in MYC-induced lymphoma [ 256 ] ( Table 4 ).…”
Section: Potential Metabolic Biomarkers Of Lymphomamentioning
confidence: 99%
“…UHPLC-MS analysis was conducted on a 1290 In nity UHPLC system coupled to a 6530 iFunnel ESI-Q-TOF mass spectrometer (Agilent Technologies, CA, USA) that was equipped with a degasser, binary pump and thermostatically controlled autosampler. Chromatographic separation was carried out on an ACQUITY UPLC HSS T3 column (2.1 mm x 100 mm, 1.8 μm, Milford, MA, USA) with 0.1% formic acid in either water (A) or acetonitrile (B) as the mobile phase [24,25]. The percentage of mobile phase A was kept at 99% for the rst 1 min and decreased linearly to 60%, 50% and 35% over the next 4 min, 3 min and 8 min, respectively, under a ow rate of 0.3 mL/min.…”
Section: Mass Spectrometrymentioning
confidence: 99%