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. Author manuscript; available in PMC: 2021 Jul 23.
Published in final edited form as: Adv Drug Deliv Rev. 2020 Jul 23;159:245–293. doi: 10.1016/j.addr.2020.07.013

Table 3:

Overview of MSI based lipidomics studies

Cancer type Samples MS Platform Main observations Ref.
Bladder cancer 20 tumors, 20 benign DESI-MS PS(18:0/18:1) and PI(18:0/20:4) upregulated in tumor tissue [14]
Brain cancer 36 DESI-MSI Lipid signatures varied between subtypes of glioma, PI(18:0/20:4) and PS(18:0/22:4) were the most significant discriminatory lipids [15]
Breast cancer 28 MALDI-TOF/TOF Cancerous regions enriched in mono-unsaturated PC species versus saturated [16]
Breast cancer 8 MALDI-TOF/MS A complex signature of +/− 20 PC and TAG species differentiates cancer from normal. [17]
Breast cancer 56 MALDI-iMScope Two different populations of cancer cells that predominantly expressed either PI(18:0/18:1) or PI(18:0/20:3). [18]
Breast cancer 67 Tumors, 55 containing matched benign DESI-MSI Highly saturated lipids could distinguish breast cancer from benign tissue. Distinct lipid profiles were evident across different molecular tumor subtypes, and PE38:6 and PS38:3 plus 2 fatty acids were able to distinguish ductal carcinoma in situ from invasive breast cancer [19]
Breast cancer 86 invasive tumors, 45 normal tissue DESI-MSI Complex signature of >40 lipid masses could distinguish cancer from normal, and was validated in two independent centers [20]
Colorectal cancer Training: 12 Validation: 40 MALDI-TOF/TOF Lipid signature correlates with prognosis [21]
Colorectal cancer 12 tumors, 12 matched benign tissue MALDI-MSI Cancerous tissues had higher levels of PC(16:0/18:1), lysoPC(16:0) and lysoPC(18:1) compared to matched normal tissue [22]
Gastric cancer 62 DESI-MSI Lipid signatures distinguished gastric cancer from normal tissue, and were validated on surgical margin samples [23]
Lung adenocarcinoma 25 LC-MS + MALDI-iMScope Enriched monounsaturated/saturated PC ratios in cancerous regions [24]
Oral cancer Training: 3 Validation: 1 MALDI-TOF/TOF Logistic regression classifier allowed for a high precision labeling of cancerous regions [25]
Ovarian cancer 107 DESI-MSI Lipid profiles were tissue type-dependent. PA, PS, PE, PG and ceramide species were discriminatory for cancer versus normal. [26]
Medulloblastoma + Pineoblastoma MB: 8 PB: 3 MALDI-FTMS Glycerophosphoglycerols and sphingolipids allow differentiation between MB and PB [27]
Prostate cancer 10 MALDI-FTMS 31 lipids correlated with Gleason score [28]
Prostate cancer 52 MALDI-IMS Cancerous tissues had higher levels of PI species (PI(18:0/18:1), PI(18:0/20:3), PI(18:0/20:2) [29]
Prostate cancer 31 MALDI-IMS Decreased levels of lyso PC (16:0/OH) and SM(d18:1/16:0) in tumor vs benign regions of tissues; lower tumoral lysoPC(16:0/OH) levels were associated with biochemical relapse [30]
Prostate cancer 18 DESI-MSI Benign tissue regions had higher levels of lysoPEs, PI and citrate; Malignant regions had higher levels of FAs, PE, PC, PI and glutamate [31]
Prostate cancer 68 DESI-MSI Cholesterol sulfate was higher in malignant and pre-malignant lesions compared to benign tissue [32]
Non-small cell lung cancer Discovery: 73 Validation: 89 ESI-MS/MS + MALDI-FTMS 40 and 42 carbon PC and PE species enriched in cancerous regions; decrease in SM and specific PI [33]
Renal cell cancers 20 normal 15 benign 46 tumors DESI-MSI Lipid profiles could distinguish normal kidney from benign neoplasms and different subtypes of cancer, increased cardiolipins were prominent features [34]
Skin cancer (basal cell carcinoma) 86 DESI-MSI PG(18:1/18:1), PS(18:0/20:4), PI(16:1/18:0) and PI(18:2/18:0) more abundant in carcinoma versus normal skin; cholesterol sulfate was higher in normal compared with tumor tissue [35]