Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study.
Venkatesh ChanukuppaTushar H MoreKhushman TaunkRavindra TawareTathagata ChatterjeeSanjeevan SharmaSrikanth RapolePublished in: RSC advances (2019)
Multiple myeloma (MM) is the second most prevalent hematological malignancy characterized by rapid proliferation of plasma cells, which leads to overproduction of antibodies. MM affects around 15% of all hemato-oncology cases across the world. The present study involves identification of metabolomic alterations in the serum of an MM cohort compared to healthy controls using both LC-MRM/MS based targeted and GC-MS based untargeted approaches. Several MM specific serum metabolomic signatures were observed in this study. A total of 54 metabolites were identified as being significantly altered in MM cohort, out of which, 26 metabolites were identified from LC-MRM/MS based targeted analysis, whereas 28 metabolites were identified from the GC-MS based untargeted analysis. Receiver operating characteristic (ROC) curve analysis demonstrated that six metabolites each from both the datasets can be projected as marker metabolites to discriminate MM subjects with higher specificity and sensitivity. Moreover, pathway analysis deciphered that several metabolic pathways were altered in MM including pyrimidine metabolism, purine metabolism, amino acid metabolism, nitrogen metabolism, sulfur metabolism, and the citrate cycle. Comprehensively, this study contributes valuable information regarding MM induced serum metabolite alterations and their pathways, which could offer further insights into this cancer.
Keyphrases
- mass spectrometry
- ms ms
- multiple myeloma
- multiple sclerosis
- liquid chromatography
- squamous cell carcinoma
- amino acid
- cancer therapy
- oxidative stress
- gene expression
- dna methylation
- cell proliferation
- high resolution
- induced apoptosis
- high resolution mass spectrometry
- genome wide
- simultaneous determination
- tandem mass spectrometry
- quantum dots
- childhood cancer
- gas chromatography