Fungal pigments inhibit the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry analysis of darkly pigmented fungi

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI–TOF MS) has been used to discriminate moniliaceous fungal species; however, darkly pigmented fungi yield poor fingerprint mass spectra that contain few peaks of low relative abundance. In this study, the effect of dark fungal pigments on the observed MALDI mass spectra was investigated. Peptide and protein samples containing varying concentrations of synthetic melanin or fungal pigments extracted from Aspergillus niger were analyzed by MALDI–TOF and MALDI–qTOF (quadrupole TOF) MS. Signal suppression was observed in samples containing greater than 250 ng/μl pigment. Microscopic examination of the MALDI sample deposit was usually heterogeneous, with regions of high pigment concentration appearing as black. Acquisition of MALDI mass spectra from these darkly pigmented regions of the sample deposit yielded poor or no [M+H]⁺ ion signal. In contrast, nonpigmented regions within the sample deposit and hyphal negative control extracts of A. niger were not inhibited. This study demonstrated that dark fungal pigments inhibited the desorption/ionization process during MALDI–MS; however, these fungi may be successfully analyzed by MALDI–TOF MS when culture methods that suppress pigment expression are used. The addition of tricyclazole to the fungal growth media blocks fungal melanin synthesis and results in less melanized fungi that may be analyzed by MALDI–TOF MS.     

Discrimination of Aspergillus isolates at the species and strain level by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry fingerprinting

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI–TOF MS) was used to generate highly reproducible mass spectral fingerprints for 12 species of fungi of the genus Aspergillus and 5 different strains of Aspergillus flavus. Prior to MALDI–TOF MS analysis, the fungi were subjected to three 1-min bead beating cycles in an acetonitrile/trifluoroacetic acid solvent. The mass spectra contain abundant peaks in the range of 5 to 20 kDa and may be used to discriminate between species unambiguously. A discriminant analysis using all peaks from the MALDI–TOF MS data yielded error rates for classification of 0 and 18.75% for resubstitution and cross-validation methods, respectively. If a subset of 28 significant peaks is chosen, resubstitution and cross-validation error rates are 0%. Discriminant analysis of the MALDI–TOF MS data for 5 strains of A. flavus using all peaks yielded error rates for classification of 0 and 5% for resubstitution and cross-validation methods, respectively. These data indicate that MALDI–TOF MS data may be used for unambiguous identification of members of the genus Aspergillus at both the species and strain levels.     

Expression of Serum Amyloid A in Human Ovarian Epithelial Tumors: Implication for a Role in Ovarian Tumorigenesis

Serum amyloid A (SAA) is an acute phase protein which is expressed primarily in the liver as a part of the systemic response to various injuries and inflammatory stimuli; its expression in ovarian tumors has not been described. Here, we investigated the expression of SAA in human benign and malignant ovarian epithelial tumors. Non-radioactive in situ hybridization applied on ovarian paraffin tissue sections revealed mostly negative SAA mRNA expression in normal surface epithelium. Expression was increased gradually as epithelial cells progressed through benign and borderline adenomas to primary and metastatic adenocarcinomas. Similar expression pattern of the SAA protein was observed by immunohistochemical staining. RT-PCR analysis confirmed the overexpression of the SAA1 and SAA4 genes in ovarian carcinomas compared with normal ovarian tissues. In addition, strong expression of SAA mRNA and protein was found in the ovarian carcinoma cell line OVCAR-3. Finally, patients with ovarian carcinoma had high SAA serum levels, which strongly correlated with high levels of CA-125 and C-reactive protein. Enhanced expression of SAA in ovarian carcinomas may play a role in ovarian tumorigenesis and may have therapeutic application. (J Histochem Cytochem 58:1015–1023, 2010)     

Circulating antinuclear antibodies in patients with pelvic masses are associated with malignancy and decreased survival

Background

Circulating autoantibodies occur more frequently in cancer patients than in patients without cancer.

Methods and Findings

We examined sera from patients referred for pelvic mass symptoms to a tertiary university clinic. A total of 127 were diagnosed with epithelial ovarian cancer while 386 had a benign condition. A screen for IgG anti-nuclear antibodies (ANA) by indirect immunofluorescence on HEp-2 cells confirmed a highly significant overrepresentation of ANA in the cancer group where 40% had detectable (i.e., a titer ≥160) ANA compared with less than 12% in the benign group. The overrepresentation of ANA in the cancer group persisted (p<0.0001) after matching the age-profile of the benign group with the ovarian cancer group. Only 19 out of 127 patients in the age-matched benign subgroup were positive for ANA corresponding to an 85% specificity at 40% sensitivity of ANA as the only marker for malignancy. No correlation of ANA positivity in either group with specific bands in immunoblots could be demonstrated even though immunoblot positivity was clearly increased in the malignant group (41% vs. 3%). The presence, strength, and type of ANA did not correlate with serum CA-125 values or with staging, and ANA outcome did not contribute with independent diagnostic information. However, survival was significantly shorter in ANA-positive compared with ANA-negative cancer patients and patients with CA-125 below the median CA-125 value in the cancer group had a significantly decreased survival when positive for ANA. ANA status made no difference in the group with CA-125 values above the median. Also, there was a significant correlation between speckled ANA-strength and histological tumor grade.

Conclusions

Circulating antibodies are a promising source for new biomarkers in cancer. Characterization of epitope specificities and measurements of consecutive samples will be important for further elucidating the role of ANA in evaluating ovarian cancer patients.     

Immunosuppressive acidic protein (IAP) and CA 125 assays in detection of human ovarian cancer: preliminary results

Serum levels of the immunosuppressive acidic protein (IAP) and CA-125 were measured in 45 patients with ovarian tumors (30 malignant and 15 benign) before surgery. Concentrations of both markers were slightly increased in benign forms but still within the upper limit for controls. The sensitivity of IAP in detecting ovarian cancer was higher than CA-125 (83.4% versus 76.7%). Five false negatives were observed in IAP assay and seven for CA-125. Parallel determination of both markers, however, improved the diagnostic accuracy up to 90.0% of the total malignant cases. Combined measurements of circulating IAP and CA-125 are therefore recommended in the detection of ovarian cancers.     

Evaluating factor XIII specificity for glutamine-containing substrates using a matrix-assisted laser desorption/ionization time-of-flight mass spectrometry assay

Activated factor XIII (FXIIIa) catalyzes the formation of γ-glutamyl-ε-lysyl cross-links within the fibrin blood clot network. Although several cross-linking targets have been identified, the characteristic features that define FXIIIa substrate specificity are not well understood. To learn more about how FXIIIa selects its targets, a matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI–TOF MS)-based assay was developed that could directly follow the consumption of a glutamine-containing substrate and the formation of a cross-linked product with glycine ethylester. This FXIIIa kinetic assay is no longer reliant on a secondary coupled reaction, on substrate labeling, or on detecting only the final deacylation portion of the transglutaminase reaction. With the MALDI–TOF MS assay, glutamine-containing peptides derived from α₂-antiplasmin, Staphylococcus aureus fibronectin binding protein A, and thrombin-activatable fibrinolysis inhibitor were examined directly. Results suggest that the FXIIIa active site surface responds to changes in substrate residues following the reactive glutamine. The P₋₁ substrate position is sensitive to charge character, and the P₋₂ and P₋₃ substrate positions are sensitive to the broad FXIIIa substrate specificity pockets. The more distant P₋₈ to P₋₁₁ region serves as a secondary substrate anchoring point. New knowledge on FXIIIa specificity may be used to design better substrates or inhibitors of this transglutaminase.     

Protein N-glycosylation is similar in the moss Physcomitrella patens and in higher plants

We have investigated the structure of glycans N-linked to the proteins of the moss Physcomitrella patens. The structural elucidation was carried out by western blotting using antibodies specific for N-glycan epitopes and by analysis of N-linked glycans enzymatically released from a total protein extract by combination of MALDI–TOF and MALDI–PSD mass spectrometry analysis. Nineteen N-linked oligosaccharides were characterised ranging from high-mannose-type and truncated paucimannosidic-type to complex-type N-glycans harbouring core-xylose, core-(1,3)-fucose and Lewis^a, as previously described for proteins from higher plants. This demonstrates that the processing of N-linked glycans, as well as the specificity of glycosidases and glycosyltransferases involved in this processing, are highly conserved between P. patens and higher plants. As a consequence, P. patens appears to be a new promising model organism for the investigation of the biological significance of protein N-glycosylation in the plant kingdom, taking advantage of the potential for gene targeting in this moss.Abbreviations Asn asparagine - CID collision-induced dissociation - Glc glucose - GlcNAc N-acetylglucosamine - Man mannose - MALDI–TOF MS matrix-assisted laser desorption ionization–time of flight mass spectrometry - PNGase A peptide N-glycosidase A - PSD post-source decay     

Evaluation of proteomics-identified CCL18 and CXCL1 as circulating tumor markers for differential diagnosis between ovarian carcinomas and benign pelvic masses

A lack of sensitive and specific tumor markers for early diagnosis and treatment is a major cause for the high mortality rate of ovarian cancer. The purpose of this study was to identify potential proteomics-based biomarkers useful for the differential diagnosis between ovarian cancer and benign pelvic masses. Serum samples from 41 patients with ovarian cancer, 32 patients with benign pelvic masses, and 41 healthy female blood donors were examined, and proteomic profiling of the samples was assessed by surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectroscopy (MS). A confirmatory study was also conducted with serum specimens from 58 patients with ovarian carcinoma, 37 patients with benign pelvic masses, and 48 healthy women. A classification tree was established using Biomarker Pattern Software. Six differentially expressed proteins (APP, CA 125, CCL18, CXCL1, IL-8, and ITIH4) were separated by high-performance liquid chromatography and identified by matrix-assisted laser desorption/ionization (MALDI)-MS/MS and database searches. Two of the proteins overexpressed in ovarian cancer patients, chemokine CC2 motif ligand 18 (CCL18) and chemokine CXC motif ligand 1 (CXCL1), were automatically selected in a multivariate predictive model. These two protein biomarkers were then validated and evaluated by enzyme-linked immunosorbent assay (ELISA) in 535 serum specimens (130 ovarian cancer, 64 benign ovarian masses, 36 lung cancer, 60 gastric cancer, 55 nasopharyngeal carcinoma, 48 hepatocellular carcinoma, and 142 healthy women). The combined use of CCL18 and CXCL1 as biomarkers for ovarian cancer had a sensitivity of 92% and a specificity of 97%. The multivariate ELISA analysis of the two putative markers in combination with CA 125 resulted in a sensitivity of 99% for healthy women and 94% for benign pelvic masses, and a specificity of 92% for both groups; these values were significantly higher than those obtained with CA 125 alone (p and lt;0.05). We conclude that serum CCL18 and CXCL1 are potentially useful as novel circulating tumor markers for the differential diagnosis between ovarian cancer and benign ovarian masses.     

The expression of HER-2/neu (c-erbB2), survivin and cycline D1 in serous ovarian neoplasms: their correlation with clinicopathological variables

Ovarian cancer is the most common cause of death among all gynecologic malignancies and a result of complex interaction of multiple oncogenes and tumor suppressor genes. The aim of this study was to evaluate expression of HER-2/neu (c-erbB2), survivin and cycline D1 biomarkers in serous ovarian neoplasms and their correlations with clinicopathological variables in serous ovarian cancers. We analyzed pathological specimens of 62 patients with benign (n = 25), borderline (n = 14) and malignant (n = 23) serous ovarian neoplasms. Immunohistochemical analysis was performed on formalin-fixed paraffin-embedded specimens. Significantly more immunoreactivity with HER-2/neu was detected in malignant tumors (100 %) compared to borderline (78.6 %) and benign tumors (48 %) (P < 0.01). Survivin expression was significantly higher in malignant tumors (91.3 %) than those found in borderline (71.4 %) and benign tumors (24 %) (P < 0.001). Similarly, higher cyclin D1 expression was observed in malignant tumors (95.6 %) compared to borderline (85.7 %) and benign tumors (48 %) (P < 0.001). Expression of all biomarkers analyzed significantly and gradually increased from benign to borderline and borderline to malignant serous tumors. In terms of clinicopathological variables, only tumor grade was associated with the expression of all biomarkers others exhibited different correlations in serous ovarian cancers. The expressions of HER-2/neu (c-erbB2), survivin and cycline D1 are positively correlated with the malignant potential of serous ovarian neoplasms.     

血清TC、TG和LDL-C水平与老年卵巢良恶性肿瘤的相关性分析

摘要 目的：探讨与分析血清总胆固醇（TC）、甘油三脂（TG）和低密度脂蛋白胆固醇（LDL-C）水平与老年卵巢良恶性肿瘤的相关性。方法：2018年8月至2021年4月选择在本院诊治的老年卵巢癌患者72例与老年良性卵巢肿瘤患者72例作为恶性组与良性组,同期选择在本院进行健康体检的老年人72例作为正常组。检测三组血清TC、TG、LDL-C水平、血清肿瘤标志物水平并进行相关性分析。结果：恶性组、良性组的血清TC、TG和LDL-C水平高于正常组,恶性组高于良性组（P<0.05）;三组的血脂异常率分别为77.8 %、44.4 %和6.9 %,对比有差异（P<0.05）。恶性组、良性组的血清CA125、CA153和CA199水平高于正常组,恶性组高于良性组（P<0.05）。在老年卵巢肿瘤144例患者中,偏相关分析显示：TC、TG、LDL-C、CA125、CA153、CA199与卵巢癌存在相关性（P<0.05）;Pearson分析显示：TC、TG、LDL-C与CA125、CA153、CA199存在相关性（P<0.05）。二元Logistic回归分析显示：TC、TG、LDL-C均为导致卵巢癌发生的影响因素（P<0.05）。结论：老年卵巢良恶性肿瘤患者多伴随有血清TC、TG和LDL-C水平的异常,与血清肿瘤标志物水平存在相关性,是引发老年卵巢癌发生的重要因素。     

Lipocalin2 Expressions Correlate Significantly With Tumor Differentiation in Epithelial Ovarian Cancer

We recently identified lipocalin2 (LCN2) as being upregulated in ovarian cancer cell lines. The purpose of this study was to validate LCN2 upregulation in ovarian cancers and to investigate its potential as a serum biomarker. We assayed LCN2 expression in ovarian cancers using real-time PCR and IHC. To evaluate the potential of LCN2 as a biomarker, we measured serum LCN2 levels in 54 ovarian cancers, 15 borderline and 53 benign ovarian tumors, and 90 healthy controls. SYBR green PCR and IHC showed LCN2 overexpression in ovarian cancers. LCN2 immunoreactivity was significantly associated with tumor differentiation (p=0.009), as well-differentiated tumors showed the highest LCN2 expression. Serum LCN2 level in ovarian cancer was significantly higher than in the other study groups (p<0.001), and in accordance with IHC results, it also correlated with tumor differentiation, with well-differentiated tumors having the highest value. The sensitivity and specificity of LCN2 in detecting ovarian cancer was 72.2% and 50.4%, respectively. By Cox univariate analysis, LCN2 positivity was an independent prognostic factor for overall survival (hazard ratio = 1.47, p=0.012). In conclusion, LCN2 expressions are upregulated and related to tumor differentiation in ovarian cancers and should be included in future research assessing potential biomarkers for ovarian cancer. (J Histochem Cytochem 57:513–521, 2009)     

联合检测E-cadherin, VEGF表达水平在卵巢良恶性肿瘤诊断中的临床价值

目的:探讨联合检测E-钙粘素(E-cadherin)、血管内皮生长因子(VEGF)表达水平在卵巢良恶性肿瘤诊断中的临床价值。方法:收取2012年1月至2016年1月间我院收治的卵巢良恶性肿瘤患者共83例,使用免疫组化方法检测对E-cadherin及VEGF表达情况进行分析与比较。结果:E-cadherin在卵巢良性肿瘤、卵巢交界性肿瘤及卵巢恶性肿瘤中的阳性表达率分别为64.71%、44.44%及25.00%,VEGF在卵巢良性肿瘤、卵巢交界性肿瘤及卵巢恶性肿瘤中的阳性表达率分别为11.76%、33.33%及83.33%,上述差异均具有统计学意义(P0.05)。E-cadherin及VEGF在卵巢恶性肿瘤中的表达与分化程度、FIGO分期有关(P0.05)。VEGF表达与淋巴结转移有关(P0.05),但E-cadherin与淋巴结转移关系不大(P0.05)。E-cadherin及VEGF表达呈负相关(r=-0.472,P0.05)。结论:E-cadherin低表达及VEGF高表达与卵巢恶性肿瘤发生、发展及侵袭有密切关系。     

Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data

Background

The majority of ovarian cancer biomarker discovery efforts focus on the identification of proteins that can improve the predictive power of presently available diagnostic tests. We here show that metabolomics, the study of metabolic changes in biological systems, can also provide characteristic small molecule fingerprints related to this disease.

Results

In this work, new approaches to automatic classification of metabolomic data produced from sera of ovarian cancer patients and benign controls are investigated. The performance of support vector machines (SVM) for the classification of liquid chromatography/time-of-flight mass spectrometry (LC/TOF MS) metabolomic data focusing on recognizing combinations or "panels" of potential metabolic diagnostic biomarkers was evaluated. Utilizing LC/TOF MS, sera from 37 ovarian cancer patients and 35 benign controls were studied. Optimum panels of spectral features observed in positive or/and negative ion mode electrospray (ESI) MS with the ability to distinguish between control and ovarian cancer samples were selected using state-of-the-art feature selection methods such as recursive feature elimination and L1-norm SVM.

Conclusion

Three evaluation processes (leave-one-out-cross-validation, 12-fold-cross-validation, 52-20-split-validation) were used to examine the SVM models based on the selected panels in terms of their ability for differentiating control vs. disease serum samples. The statistical significance for these feature selection results were comprehensively investigated. Classification of the serum sample test set was over 90% accurate indicating promise that the above approach may lead to the development of an accurate and reliable metabolomic-based approach for detecting ovarian cancer.     

Cu isotope ratios are meaningful in ovarian cancer diagnosis

BackgroundOvarian cancer diagnosis is currently based on imaging and circulating CA-125 concentrations with well-known limits to sensitivity and specificity. New biomarkers are required to complement CA-125 testing to increase effectiveness. Increases in sensitivity of isotopic separation via multi collector inductively coupled plasma-mass spectrometry have recently allowed highly accurate measurement of copper (Cu) isotopic variations. Studies in breast cancer patients have revealed changes of serum copper isotopic composition demonstrating the potential for development as a cancer biomarker. Evaluating ⁶⁵Cu/⁶³Cu ratios (δ⁶⁵Cu) in serum samples from cancer patients has revealed a strong correlation with cancer development. In this study blood samples from forty-four ovarian cancer patients, and 13 ovarian biopsies were investigated.ResultsHere we demonstrate that changes in Cu isotopes also occurs in ovarian cancer patients. Copper composition determined by multiple collector inductively coupled plasma mass spectrometry revealed that the copper isotopic ratio δ⁶⁵Cu in the plasma of 44 ovarian cancer patient cohort was significantly lower than in a group of 48 healthy donors, and indicated that serum was enriched for ⁶³Cu. Further analysis revealed that the isotopic composition of tumour biopsies was enriched for ⁶⁵Cu compared with adjacent healthy ovarian tissues.ConclusionsWe propose that these changes are due to increase lactate and Cu transporter activities in the tumour. These observations demonstrate that, combined with existing strategies, δ⁶⁵Cu could be developed for use in ovarian cancer early detection.     

GC–MS determination of creatinine in human biological fluids as pentafluorobenzyl derivative in clinical studies and biomonitoring: Inter-laboratory comparison in urine with Jaffé, HPLC and enzymatic assays

In consideration of its relatively constant urinary excretion rate, creatinine in urine is a useful biochemical parameter to correct the urinary excretion rate of endogenous and exogenous biomolecules. Assays based on the reaction of creatinine and picric acid first reported by Jaffé in 1886 still belong to the most frequently used laboratory approaches for creatinine measurement in urine. Further analytical methods for creatinine include HPLC–UV, GC–MS, and LC–MS and LC–MS/MS approaches. In the present article we report on the development, validation and biomedical application of a new GC–MS method for the reliable quantitative determination of creatinine in human urine, plasma and serum. This method is based on the derivatization of creatinine (d₀-Crea) and the internal standard [methyl-trideutero]creatinine (d₃-Crea) with pentafluorobenzyl (PFB) bromide in the biological sample directly or after dilution with phosphate buffered saline, extraction of the reaction products with toluene and quantification in 1-μl aliquots of the toluene extract by selected-ion monitoring of m/z 112 for d₀-Crea-PFB and m/z 115 for d₃-Crea-PFB in the electron-capture negative-ion chemical ionization mode. The limit of detection of the method is 100 amol of creatinine. In an inter-laboratory study on urine samples from 100 healthy subjects, the GC–MS method was used to test the reliability of currently used Jaffé, enzymatic and HPLC assays in clinical and occupational studies. The results of the inter-laboratory study indicate that all three tested methods allow for satisfactory quantification of creatinine in human urine. The GC–MS method is suitable for use as a reference method for urinary creatinine in humans. In serum, creatine was found to contribute to creatinine up to 20% when measured by the present GC–MS method. The application of the GC–MS method can be extended to other biological samples such as saliva.     

Column-switching HPLC–MS/MS analysis of ropivacaine in serum,ultrafiltrate and drainage blood for validating the safety of blood reinfusion

A high-performance liquid chromatography–tandem mass spectrometry (HPLC–MS–MS) method, using back-flush column-switching was developed for total drug concentrations of ropivacaine in serum and drainage blood in the measuring range 0.1–10 μg/mL. Samples were diluted with internal standard (²H₇-ropivacaine) and extraction buffer, centrifuged and injected directly onto a BioTrap 500 MS extraction column. Using a time programmed six-port valve switch, ropivacaine was back-flushed onto a Zorbax SB-Aq analytical column, gradient eluted and finally detected after electro spray ionisation and multiple reaction monitoring (MRM) of the transitions m/z 275 → m/z 126 and m/z 282 → m/z 133 for ropivacaine and ²H₇-ropivacaine, respectively. Accuracy (bias-%) was −1.5 to 5.8% and intermediate precision (C.V.) was 1.4–3.1%. The low sample amount required (10 μL), high specificity and short run time (6 min) makes it very suitable for determination of ropivacaine. Using the same methodology as described above and 200 μL ultrafiltrate, the free drug concentrations of ropivacaine in serum could be precisely determined with a C.V. below 3%. The method was used to investigate the safety of reinfusion of drainage blood after knee and hip arthroplasty when ropivacaine (Naropin^®) was used for local analgesia. Data for 30 patients are summarised.     

Genome-scale screen for DNA methylation-based detection markers for ovarian cancer

Background

The identification of sensitive biomarkers for the detection of ovarian cancer is of high clinical relevance for early detection and/or monitoring of disease recurrence. We developed a systematic multi-step biomarker discovery and verification strategy to identify candidate DNA methylation markers for the blood-based detection of ovarian cancer.

Methodology/Principal Findings

We used the Illumina Infinium platform to analyze the DNA methylation status of 27,578 CpG sites in 41 ovarian tumors. We employed a marker selection strategy that emphasized sensitivity by requiring consistency of methylation across tumors, while achieving specificity by excluding markers with methylation in control leukocyte or serum DNA. Our verification strategy involved testing the ability of identified markers to monitor disease burden in serially collected serum samples from ovarian cancer patients who had undergone surgical tumor resection compared to CA-125 levels.We identified one marker, IFFO1 promoter methylation (IFFO1-M), that is frequently methylated in ovarian tumors and that is rarely detected in the blood of normal controls. When tested in 127 serially collected sera from ovarian cancer patients, IFFO1-M showed post-resection kinetics significantly correlated with serum CA-125 measurements in six out of 16 patients.

Conclusions/Significance

We implemented an effective marker screening and verification strategy, leading to the identification of IFFO1-M as a blood-based candidate marker for sensitive detection of ovarian cancer. Serum levels of IFFO1-M displayed post-resection kinetics consistent with a reflection of disease burden. We anticipate that IFFO1-M and other candidate markers emerging from this marker development pipeline may provide disease detection capabilities that complement existing biomarkers.     

卵巢癌患者血清HE4、CA125、CA72-4及炎性因子水平检测的临床价值评估

目的:探讨血清人附睾蛋白4(HE4)、糖类抗原125(CA125)、糖类抗原72-4(CA72-4)及炎性因子IL-6、IL-8、IL-17水平检测对卵巢癌患者的临床价值。方法:选取2015年2月至2017年2月我院收治的卵巢肿瘤患者81例,包括卵巢恶性肿瘤组39例及卵巢良性肿瘤组42例,另选42例健康人作正常对照组,比较各组及临床不同分期卵巢癌患者血清HE4、CA125、CA72-4、IL-6、IL-8、IL-17水平的差异。结果:卵巢恶性肿瘤组血清HE4、CA125、CA72-4、IL-6、IL-8及IL-17水平均显著高于对照组(P0.05),而卵巢良性肿瘤组与对照组以上指标比较差异并无统计学意义(P0.05);随卵巢癌分期增加,患者血清HE4、CA125、CA72-4、IL-6、IL-8及IL-17水平呈上升趋势,以血清HE4、CA125及IL-17增加较为显著(P0.05),而Ⅰ期、Ⅱ期及Ⅲ期卵巢癌患者血清CA72-4、IL-6及IL-8在增加并不明显(P0.05)。结论:卵巢癌患者血清HE4、CA125、CA72-4、IL-6、IL-8及IL-17水平较高,且随临床分期增加呈上升趋势,以上指标可能有助于卵巢癌的诊断、治疗及病情评估。     

A high-throughput matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry-based assay of chitinase activity

A high-throughput matrix-assisted laser desorption/ionization–time-of-flight mass spectrometry (MALDI–TOF MS) assay is described for determination of chitolytic enzyme activity. The assay uses unmodified chitin oligosaccharide substrates and is readily achievable on a microliter scale (2 μl of total volume containing 2 μg of substrate and 1 ng of protein). The speed and sensitivity of the assay make it potentially well suited for the high-throughput screening of chitinase inhibitors. The mass spectrum is acquired in approximately 2 min, as opposed to typically 30–40 min for a single run with a high-performance liquid chromatography (HPLC)-based assay. By using the multiple-place MALDI MS targets, we estimate that 100 assays could be run in approximately 2–3 h without needing to remove the target from the instrument. In addition, because the substrate and product chitomers are visualized simultaneously in the TOF spectrum, this gives immediate information about the cleavage site and mechanism of the enzyme under study. The assay was used to monitor the purification and transgenic expression of plant class IV chitinases. By performing the assay with chitomer substrates and C-glycoside chitomer analogs, the enzyme mechanism of the class IV chitinases is described for the first time.     

Comprehensive serum profiling for the discovery of epithelial ovarian cancer biomarkers

FDA-cleared ovarian cancer biomarkers are limited to CA-125 and HE4 for monitoring and recurrence and OVA1, a multivariate panel consisting of CA-125 and four additional biomarkers, for referring patients to a specialist. Due to relatively poor performance of these tests, more accurate and broadly applicable biomarkers are needed. We evaluated the dysregulation of 259 candidate cancer markers in serum samples from 499 patients. Sera were collected prospectively at 11 monitored sites under a single well-defined protocol. All stages of ovarian cancer and common benign gynecological conditions were represented. To ensure consistency and comparability of biomarker comparisons, all measurements were performed on a single platform, at a single site, using a panel of rigorously calibrated, qualified, high-throughput, multiplexed immunoassays and all analyses were conducted using the same software. Each marker was evaluated independently for its ability to differentiate ovarian cancer from benign conditions. A total of 175 markers were dysregulated in the cancer samples. HE4 (AUC=0.933) and CA-125 (AUC=0.907) were the most informative biomarkers, followed by IL-2 receptor α, α1-antitrypsin, C-reactive protein, YKL-40, cellular fibronectin, CA-72-4 and prostasin (AUC>0.800). To improve the discrimination between cancer and benign conditions, a simple multivariate combination of markers was explored using logistic regression. When combined into a single panel, the nine most informative individual biomarkers yielded an AUC value of 0.950, significantly higher than obtained when combining the markers in the OVA1 panel (AUC 0.912). Additionally, at a threshold sensitivity of 90%, the combination of the top 9 markers gave 88.9% specificity compared to 63.4% specificity for the OVA1 markers. Although a blinded validation study has not yet been performed, these results indicate that alternative biomarker combinations might lead to significant improvements in the detection of ovarian cancer.