Identification of candidate biomarker mass (<i>m</i>/<i>z</i>) ranges in serous ovarian adenocarcinoma using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry profiling

Periyasamy, Amutha; Gopisetty, Gopal; Sridevi, V.; Subramanium, Malliga Joyimallaya; Rajkumar, Thangarajan

doi:10.3109/1354750x.2015.1068862

Cited by 9 publications

(12 citation statements)

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“…Complement C3, inter-alpha-trypsin inhibitor heavy chain H4 and transthyretin were also identified using a combination of carrier protein-bound affinity enrichment strategy with MALDI-TOF MS to characterize OC samples, which is in agreement with our findings [24]. Unfortunately, other OC studies based on MALDI-TOF MS profiling lack the identification step [25, 26]. It is unknown whether other depletion methods are capable of detecting relevant proteins.…”

Section: Discussionsupporting

confidence: 84%

“…In the literature, there are several studies focusing on plasma and serum proteomic patterns of ovarian cancer obtained by MALDI-TOF MS. In order to detect low abundance proteins and peptides, biomarker enrichment kits [24], immunodepletion [25] and magnetic beads [26] have been applied in OC studies. Due to significant impact of sample pretreatment on the MS spectra, the discriminative peaks proposed as candidates for OC biomarkers depend on efficiency of the enrichment strategy.…”

Section: Discussionmentioning

confidence: 99%

“…Protein-peptide profiling studies based on MALDI-TOF MS analyses are often limited to a list of the most discriminative m/z peaks as potential disease indicators [15, 25, 26]. Nevertheless, the identification step is crucial for understanding the pathological processes that occur during cancer development and it should not be omitted.…”

Section: Discussionmentioning

confidence: 99%

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MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer

et al. 2017

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BackgroundDue to high mortality and lack of efficient screening, new tools for ovarian cancer (OC) diagnosis are urgently needed. To broaden the knowledge on the pathological processes that occur during ovarian cancer tumorigenesis, protein-peptide profiling was proposed.MethodsSerum proteomic patterns in samples from OC patients were obtained using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF). Eighty nine serum samples (44 ovarian cancer and 45 healthy controls) were pretreated using solid-phase extraction method. Next, a classification model with the most discriminative factors was identified using chemometric algorithms. Finally, the results were verified by external validation on an independent test set of samples.ResultsMain outcome of this study was an identification of potential OC biomarkers by applying liquid chromatography coupled with tandem mass spectrometry. Application of this novel strategy enabled the identification of four potential OC serum biomarkers (complement C3, kininogen-1, inter-alpha-trypsin inhibitor heavy chain H4, and transthyretin). The role of these proteins was discussed in relation to OC pathomechanism.ConclusionsThe study results may contribute to the development of clinically useful multi-component diagnostic tools in OC. In addition, identifying a novel panel of discriminative proteins could provide a new insight into complex signaling and functional networks associated with this multifactorial disease.Electronic supplementary materialThe online version of this article (doi:10.1186/s12885-017-3467-2) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 99%

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MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer

et al. 2017

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“…Choosing the right type of MB enables the highest acquisition of proteins and peptides for the furthur proteomic profiling analysis, therfore we compared the performance of two MB and we found that MB-HIC8 had better average peak numbers, higher peak intensitites, and better capturing ability than MB-WCX. HIC showed good performance in previous studies such as the work by (Villanueva et al, 2004;De Noo et al, 2006;Periyasamy et al, 2015) as well as good reproducability (Baumann et al, 2005).…”

Section: Discussionmentioning

confidence: 70%

“…Few studies reported peak identification lists for serum (Villanueva et al, 2006;Tiss et al, 2010) or plasma (Koomen et al, 2005) and this showed the inherent difference between the two type of samples in the moderate percent of concordance in the identified peaks. Several proteomic based studies used plasma (Periyasamy et al, 2015;Baralla et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

Plasma Peptidome Pattern of Breast Cancer Using Magnetic Beads-Based Plasma Fractionation and MALDI-TOF MS: A Case Control Study in Egypt

Zaki

Ramadan

Moez

et al. 2019

Asian Pac J Cancer Prev

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Objective: The present study aimed to determine peptidome patterns in breast cancer (BC). Methods: We analyzed the plasma proteomic profiling of 80 BC patients and 50 healthy controls, using hydrophobic interaction chromatography magnetic beads (MB-HIC8) separation followed by Matrix assisted laser desorption ionization/ time of flight mass spectrometry (MALDI-TOF MS). Results: ClinProTools software identified 92 peaks that differed among the analyzed groups, 33 peaks were significantly different (P < 0.05). Of those, 22 peaks were up-regulated while 11 peaks were down-regulated in BC patients compared with the healthy controls. Three peptide ion signatures ( m/z 1,570.31, 1,897.4 and 2,568.17) were provided by the Quick Classifier model to discriminate BC patients from healthy control subjects with 96.4% accuracy. External validation was performed by an independent group and this achieved a sensitivity of 100% and a specificity of 76.9%. Conclusion: MALDI-TOF MS has good analytical performance in distinguishing BC patients from healthy controls.

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Challenges in biomarker discovery with MALDI-TOF MS

Hajduk

Matysiak

Kokot

2016

Clinica Chimica Acta

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Identification of candidate biomarker mass (m/z) ranges in serous ovarian adenocarcinoma using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry profiling

Abstract: Spectral profiles can differentiate plasma samples of ovarian cancer patients from healthy individuals.

Cited by 9 publications

References 14 publications

MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer

MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer

Plasma Peptidome Pattern of Breast Cancer Using Magnetic Beads-Based Plasma Fractionation and MALDI-TOF MS: A Case Control Study in Egypt

Challenges in biomarker discovery with MALDI-TOF MS

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