Protein profiles associated with platinum resistance in laser microdissected ovarian cancer cells using seldi-tof ms
Isabelle CadronToon Van GorpAnneleen DaemenRobert ZeillingerRaf Van de PlasFrédéric AmantBart De MoorPhilippe MoermanEtienne WaelkensIgnace Vergote
0
Citation
0
Reference
20
Related Paper
Cite
Objective:To establish the expression profiles of peptides in sera of ovarian cancer and explore the early-diagnosis value of expression profiles of peptides in ovarian cancer.Methods:Magnetic binding-weak cation exchange beads(MB-WCX) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF-MS) analysis were used to detect expression files of peptides.The early-diagnosis pattern was established by differential peptides peaks using the ClinProTool data analysis program.Results:In the mass range from 1 000 to 15 000 Da,8 peaks with clear differences in amplitude between the patients and health controls were detected,5 peaks with mass charge ratio(m/z) of 2 662.02,2 653.68,5 859.21,5 901.69 and 5 937.06 were up-regulated notably,and 3 peaks with m/z of 1 857.82,2 074.28 and 2 856.33 were markedly down-regulated in patients with ovarian cancer.In specimens of early-stage ovarian cancer,the accuracy of characteristic proteomic patterns detection could be 81.8%(9/11),and the specificity showed 100%.Conclusion:MB-WCX separation coupled with MALDI-TOF-MS and ClinProTools analysis could be a desired method to find bio-markers in ovarian cancer,and could have a potential value in the early diagnosis of ovarian cancer.
Cite
Citations (0)
Laser capture microdissection
Proteome
Cite
Citations (9)
Cite
Citations (0)
Objective To screen differential membrane proteins by comparing protein fingerprinting between breast cancer and normal breast epithelial cell lines cultured in vitro,which may lay a foundation for sub-cellular protein biomarker of breast cancer.Methods Membrane proteins of two breast cancer cell lines MDA-MB-231,MCF-7 and one normal breast epithelium cell line HBL-100 were extracted,and the protein fingerprinting were measured by surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS) for 50 times.Differential proteins were analyzed and screened by Bio-maker Wizard Software.Results About 100 protein peaks were observed on protein fingerprinting spectra ranged from 2 kD to 100 kD,among which 32 and 34 membrane protein peaks of them showed significant difference between MDA-MB-231 and MCF-7 when compared with HBL-100(P0.05).Protein peaks at 7.8 kD,8.3 kD and 8.8 kD were down-regulated in both breast cancer cell lines,while protein peaks at 9.6 kD were up-regulated.Conclusion SELDI-TOF-MS can detect membrane proteins of breast cancer cell lines accurately and sensitively,which applies a new method for subcellular protein biomarkers of breast cancer.
Cell membrane
Cite
Citations (0)
To improve diagnostic methods to screen biomarkers for early diagnosis in lung adenocarcinoma by employing laser capture microdissection (LCM) and surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS) and support vector machine (SVM).Frozen sections of thickness 8 microm were made using 6 cases of fresh lung cancer tissues and 4 cases of matched normal lung tissues. The sections were stained by improved HE solution. The homogeneous adenocarcinoma cells and normal cells were collected by LCM in each sample, and then SELDI profiles based on PBS II+SELDI-TOF-MS (IMAC protein chip) were analyzed using SVM.High quality cell samples were obtained by LCM quickly and precisely from normal specimens and diseased tissues without interstitium, inflammation and necrosis. Eighty four differential protein peaks were found. Top ten of them were identified as candidate biomarkers; six proteins were significantly weakly expressed in lung cancer tissue compared to normal tissues, but the other four protein were over-expressed (P < 0.05). Every candidate biomarker has undergone the blind-cross-test. Each of them can separate the lung cancer from normal samples with a sensitivity of 100% and a specificity of 100%. The 3191 m/z was considered as disease marker of lung adenocarcinoma.The method combined LCM with SELDI-TOF-MS may be able to screen potential biomarkers to distinguish lung cancer from healthy tissue with high sensitivity and specificity, which could improve early diagnosis for lung cancer.
Laser capture microdissection
Surface-enhanced laser desorption/ionization
Cite
Citations (0)
HeLa
Ursolic acid
Cite
Citations (35)
Proteomic profiling of plasma or serum is a technique to identify new biomarkers in disease. The objective of this study was to identify new plasma biomarkers in ovarian cancer patients using mass spectrometry protein profiling and artificial intelligence. A total of 65 plasma samples obtained from women with ovarian cancer (n = 35) and age-matched disease-free controls (n = 30) were applied to anion exchange protein chips for protein profiling by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). SELDI-TOF MS was highly reproducible in detecting ovarian tumor-specific protein profiles. One protein peak (relative molecular mass, Mr, 11,537 Da) was identified in plasma from women with ovarian cancer but not in controls. Two peaks, Mr 5,147 and 8,780 Da, were present in the plasma of controls but not of women with ovarian cancer. After a training analysis, classification analysis generated by univariant or linear combination split was performed to reach a discriminant protein signature pattern. After cross validation, a sensitivity of 84% and specificity of 89% for all studied cases and controls was reached. This study clearly demonstrates that the combined technology of SELDI-TOF MS and artificial intelligence is effective in distinguishing protein expression between normal and ovarian cancer plasma. The identified protein peaks may be candidate proteins for early detection of ovarian cancer or evaluation of therapeutic response.
Protein chip
Cite
Citations (21)
Esophageal adenocarcinoma
Surface-enhanced laser desorption/ionization
Cite
Citations (2)
Objective To exclude the disturb of mixed cell types,segregate and detecte specific biomarkers of human ovarian tumor.Methods Pure cell from normal,nonmalignant and malignant ovarian tissues were captured by the laser capture microdissection(LCM).After cell protein isolated,the specific biomarkers of human ovarian tumor(the different subtype IL-8 and the melanoma activating factor CXCL1) were gathered and detected by the immunomagnetic beads(IMB) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF-MS) respectively.Results The pure epithelial cells from ovrian tissues were well discriminated,which get to the 106~107 order of magnitude.The specific biomarkers IL-8(1～77 aa),IL-8(6～77 aa),IL-8(9～77 aa) and the CXCL1 could be admirably gathered by the IMB and be further detected by the MALDI-TOF-MS.Conclusion The technology platform of LCM and IMB coupled with MALDI-TOF-MS could correctly acquire the human ovarian tumor related biomarkers.
Laser capture microdissection
CXCL1
Cite
Citations (0)
Using surface-enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF-MS) technology, serum protein profiling was screened for the discovery of differentially expressed proteins between cervical cancer patients and control samples. Proteins and peptides in serum were captured by a CM10 proteinchip, and then detected by a proteinchip reader. The resulting profiling of all collected samples was analyzed with proteinchip software. Seven protein peaks were significantly regulated between the cancer group and the control group (p < 0.05). Fifty-three peaks in the m/z range from 2 kDa to 20 kDa were selected for partial least squares discriminant analysis (PLS-DA). The diagnostic model can distinguish cervical cancer in the blind test set from health controls with an accuracy of 90%. The combination of SELDI-TOF-MS and PLS-DA model can be used to screen significant proteins of differential expression in the serum of cervical cancer and may play a potential role in the diagnostics of cervical cancer.
Surface-enhanced laser desorption/ionization
Time-of-Flight
Protein chip
Cite
Citations (1)