Proteomic search for potential diagnostic markers and therapeutic targets for ovarian clear cell adenocarcinoma

Clear cell adenocarcinoma (CCA) has a highly malignant potential in human epithelial ovarian cancer. The serum CA-125 is widely used as a marker for ovarian cancer, but the level is relatively low in CCA. Therefore, new sensitive biomarkers are required. In this report, we describe a promising proteomic analysis that is differentially expressed in CCA when compared to mucinous adenocarcinoma, using the ovarian cultured cell lines OVISE, OVTOKO, and MCAS. The disease-associated proteins were identified by 2-D differential gel electrophoresis (2-D DIGE) and MS. In this analysis, 18 up-regulated and 31 down-regulated spots were observed that had at least two-fold differences in the two CCA cell lines than in MCAS as control cells. Some of the proteins differentially expressed in CCA were previously observed as alternative expression levels in ovarian and/or other cancers in clinical samples. In a subsequent preliminary differential study using surgical specimens from patients with CCA, it was demonstrated that the identified proteins were expressed differentially in actual tissues, as well as in the CCA culture cells. The results from this investigation show the potentiality of a proteomic approach for identifying disease-associated proteins, which may eventually serve as diagnostic markers or therapeutic targets in CCA.     

Saliva proteome profiling reveals potential salivary biomarkers for detection of oral cavity squamous cell carcinoma

Oral cavity squamous cell carcinoma (OSCC), which is frequently associated with poor prognosis and mortality, is a leading cause of cancer‐related death worldwide. Discovery of body fluid accessible biomarkers is needed to improve OSCC screening. To this end, we profiled proteomes of saliva from the healthy volunteers, the individuals with oral potentially malignant disorders (OPMD), and the OSCC patients by means of SDS‐PAGE coupled with LC‐MS/MS. In the control, the OPMD, and the OSCC groups, 958, 845, and 1030 salivary proteins were detected, respectively. With spectral counting‐based label‐free quantification, 22 overexpressed salivary proteins were identified in the OSCC group compared with the healthy controls and the OPMD individuals. Among them, resistin (RETN) was subjected to further validation with an independent cohort using ELISA. The data confirmed that the salivary RETN levels in the OSCC patients were significantly higher than that in the healthy or in the OPMD group. Moreover, the elevated levels of salivary RETN were highly correlated with late‐stage primary tumors, advanced overall stage, and lymph‐node metastasis. Our results not only reveal that profiling of saliva proteome is feasible for discovery of OSCC biomarkers, but also identify RETN as a potential salivary biomarker for OSCC detection.     

Upregulation of plasma C9 protein in gastric cancer patients

Gastric cancer is one of the leading causes of cancer‐related deaths worldwide. Current biomarkers used in the clinic do not have sufficient sensitivity for gastric cancer detection. To discover new and better biomarkers, protein profiling on plasma samples from 25 normal, 15 early‐stage and 21 late‐stage cancer was performed using an iTRAQ‐LC‐MS/MS approach. The level of C9 protein was found to be significantly higher in gastric cancer compared with normal subjects. Immunoblotting data revealed a congruent trend with iTRAQ results. The discriminatory power of C9 between normal and cancer states was not due to inter‐patient variations and was independent from gastritis and Helicobacter pylori status of the patients. C9 overexpression could also be detected in a panel of gastric cancer cell lines and their conditioned media compared with normal cells, implying that higher C9 levels in plasma of cancer patients could be attributed to the presence of gastric tumor. A subsequent blind test study on a total of 119 plasma samples showed that the sensitivity of C9 could be as high as 90% at a specificity of 74%. Hence, C9 is a potentially useful biomarker for gastric cancer detection.     

Interstitial fluid—A reflection of the tumor cell microenvironment and secretome

The interstitium or interstitial space describes the space outside the blood and lymphatic vessels. It contains two phases; the interstitial fluid (IF) and the extracellular matrix. In this review we focus on the interstitial fluid phase, which is the physical and biochemical microenvironment of the cells, and more specifically that of tumors. IF is created by transcapillary filtration and cleared by lymphatic vessels, and contains substances that are either produced and secreted locally, thus denoted secretome, or brought to the organ by the circulation. The structure of the interstitium is discussed briefly and moreover techniques for IF isolation focusing on those that are relevant for studies of the secretome. Accumulated data show that tumor IF is hypoxic and acidic compared with subcutaneous IF and plasma, and that there are gradients between IF and plasma giving information on where substances are produced and thereby reflecting the local microenvironment. We review recent data on the origin of tissue specific substances, challenges related to isolating a representative secretome and the use of this as a substrate for biomarker identification. Finally we perform a comparative analysis across human tumor types and techniques and show that there is great variation in the results obtained that may at least partially be due to the isolation method used. We conclude that when care is taken in isolation of substrate, analysis of the secretome may give valuable biological insight and result in identification of biomarker candidates. This article is part of a Special Issue entitled: An Updated Secretome.     

Advances in ovarian cancer diagnosis: A journey from immunoassays to immunosensors

This review focuses on the technological advancements, challenges and trends in immunoassay technologies for ovarian cancer diagnosis. Emphasis is placed on the principles of the technologies, their merits and limitations and on the evolution from laboratory-based methods to point-of-care devices. While the current market is predominantly associated with clinical immunoassay kits, over the last decade a major thrust in development of immunosensors is evident due to their potential in point-of-care devices. Technological advancements in immunosensors, extending from labeled to label-free detection, with and without mediators, for enhancing proficiencies and reliability have been dealt with in detail. Aspects of the utilisation of nanomaterials and immobilization strategies for enhancing sensitivity and altering the detection range have also been addressed. Finally, we have discussed some distinct characteristics and limitations associated with the recently commericalised technologies used for quantitation of relevant ovarian cancer markers.     

Evaluation of blood collection tubes using selected reaction monitoring MS: Implications for proteomic biomarker studies

An emphasis of current proteomic research is the validation of plasma protein biomarkers. The process of blood collection itself is critical to the accuracy and reproducibility of quantitative biomarker assays. We have developed selected reaction monitoring (SRM) assays to analyse thirteen abundant plasma proteins and evaluated the impact of three different blood collection tubes on the levels of these proteins. We also assessed the implications of the time taken to analyse plasma samples by evaluating the recovery of these proteins. We showed that SRM detects minor differences in the levels of some proteins which can be attributed to collection tube type. The average recovery for 12 of 18 assays was higher for proteins that were collected in tubes containing protease inhibitors compared to conventional collection tubes. For five of the assays, the differential recovery was statistically significant. Delaying MS analysis of a freeze‐thawed sample for 1 hour showed greatly reduced recovery of these analytes; however differences attributed to tube type were only evident at the baseline timepoint. Finally, we assessed the natural variation of circulating levels of these proteins in a cohort of seven healthy individuals. This study provides useful information for researchers contemplating blood collection for undertaking protein biomarker studies.     

The influence of HER2 genotypes as molecular markers in ovarian cancer outcome

A relevant clinical problem in the treatment of ovarian cancer (OC) is the development of resistance to chemotherapy, frequently due to genetic variations in enzymes and receptors. Changes in the HER2 receptor have been associated with breast and ovarian cancers. The role of a polymorphism in the HER2 gene in the clinical outcome of OC patients was investigated in this study. We characterized DNA samples from 111 patients with OC treated with cisplatin and paclitaxel, using PCR-RFLP. Our results indicate that patients carrying the valine homozygotic genotype present a lower overall survival mean, suggesting a role for this polymorphism in the outcome of ovarian cancer patients. The G allele has been implicated in the formation of active HER2 receptors, with a more aggressive phenotype. We hypothesize that HER2 genotypes can be predictive biomarkers in ovarian cancer, contributing to a genetic individual profile of great interest in clinical oncology.     

血清长链非编码RNA MALAT-1 在卵巢癌诊断中的临床意义

目的:探讨血清长链非编码RNA MALAT-1检测在卵巢癌患者中的诊断作用。方法:收集187例在我院行卵巢肿瘤切除术患者术前血清。应用实时定量PCR检测血清中MALAT-1 m RNA的表达。MALAT-1 m RNA的拷贝数使用绝对定量(标准曲线)计算。MALAT-1的诊断价值采用ROC-AUC曲线和logistic回归分析并与血清CA125进行比较。结果:1本研究有效样本比例为88.77%(166/187)。卵巢良性肿瘤和恶性肿瘤比例分别为62.05%(103/166)和37.95%(63/166)。卵巢恶性肿瘤患者MALAT-1明显高于良性肿瘤患者(p0.001)。经ROC曲线分析,血清CA125和MALAT-1曲线下面积分别为0.726和0.844,且血清MALAT-1的诊断价值明显优于血清CA125(p=0.023)。经logistic回归分析,应用血清MALAT-1和CA125的预测准确性分别为78.92%和68.07%,应用血清MALAT-1可提高预测准确性10.85%。进一步的分析得出,取血清MALAT-1截断点为36.5时,其预测的敏感性和特异性分别高达84.1%和67.0%。结论:血清长链非编码RNA MALAT-1检测对卵巢肿瘤的性质具有良好的预测作用,可作为卵巢癌早期诊断的分子标志物。本研究结果需大样本前瞻性的研究进一步验证。     

Quantitative proteomics study of breast cancer cell lines isolated from a single patient: Discovery of TIMM17A as a marker for breast cancer

The proteins involved in breast cancer initiation and progression are still largely elusive. To gain insights into these processes, we conducted quantitative proteomic analyses with 21T series of breast cell lines, which include a normal, primary tumor and a metastatic tumor that were isolated from a single patient. Stable isotope labeling of amino acid in cell culture followed by LC‐MS/MS analysis was performed and deregulated proteins were identified using statistical analysis. Gene ontology analysis revealed that proteins involved in metabolic processes were the most deregulated in both tumorigenesis and metastasis. Interaction network analysis indicated that ERBB2 signaling played a critical role in tumorigenesis. In addition to known markers such as ERBB2 and E‐cadherin, novel markers, including BRP44L, MTHFD2 and TIMM17A, were found to be overexpressed in 21T breast cancer cells and verified in additional breast cell lines. mRNA expression analysis as well as immunohistochemistry analysis in breast cancer tissues indicated that expression level of TIMM17A was directly correlated with tumor progression, and survival analysis suggested that TIMM17A was a powerful prognosis factor in breast cancer. More interestingly, overexpression and siRNA knockdown experiments indicated an oncogenic activity of TIMM17A in breast cancer. Our study provides a list of potential novel markers for breast cancer tumorigenesis and metastasis using a unique cell model. Further studies on TIMM17A as well as other markers on the list may reveal mechanisms that result in more effective therapeutics for cancer treatment.     

A human/mouse chimeric monoclonal antibody against CA125 for radioimmunoimaging of ovarian cancer

Murine monoclonal antibody 196-14 recognizes the ovarian-cancer-associated antigen CA 125, but the epitope it recognizes is different from that of monoclonal antibody OC125. We developed a human/mouse chimeric 196-14 using the variable regions of the murine 196-14 and human heavy-chain (l) and light-chain () constant regions. Cell binding and competitive inhibition assays using chimeric 196-14 labeled with¹²⁵I,¹¹¹In or^99mTc demonstrated that the in vitro immunoreactivity of the chimeric antibody was identical to that of the parental murine monoclonal antibody. However, in mice bearing human ovarian cancer xenografts, the clearance from blood was faster and absolute levels of accumulation in the tumor were lower for the¹²⁵I-labeled or^99mTc-labeled chimeric antibody than for the murine antibody labeled with the corresponding radionuclides. The tumor-to-blood radioactivity ratio was not significantly different between the chimeric antibody and the murine antibody, regardless of the radionuclide used for labeling. Chimeric antibody 196-14 labeled with¹³¹I,¹¹¹In or^99mTc is promising for the radioimmunoimaging of ovarian cancer.     

Ovarian cancer marker of 11.7 kDa detected by proteomics is a serum amyloid A1

In this study, to reduce the number of major plasma components, we examined thermostable plasma fractions to search for a biomarker of ovarian cancer. An apparent cancer biomarker of 11.7 kDa was detected in these fractions using ProteinChip SELDI-TOF mass spectrometry system. This peak invariably appeared with another close peak of about 11.5 kDa, suggesting that it is a derivative of a larger mass molecule. Of 27 cancer plasma specimens, 15 (55.6%) demonstrated this peak pair, whereas only 2 of 34 controls specimens (5.8%) were shown to express it with low intensity. Using a method involving cysteine modification by 4-vinylpyridine (4-VP), 2-DE and HPLC, these peaks were identified by mass spectrometry as serum amyloid A1 (11.68 kDa) and its N-terminal arginine-truncated form (11.52 kDa).     

Mathematical modeling of ovarian cancer treatments: sequencing of surgery and chemotherapy

Ovarian cancer has long been one of the most common forms of cancer in women. The main treatment for ovarian cancer comprises a combination of surgery and chemotherapy. In an effort to improve treatment strategies, a variety of mathematical models have been developed in the literature. In this paper, we consider a simple mathematical model that incorporates tumor growth as well as the effects of chemotherapeutic and surgical treatments in ovarian cancer. We consider several growth models and combine them with different cell-kill hypotheses. Surgery is assumed to eliminate a fixed fraction of tumor cells instantaneously. We discuss how different models predict the optimal sequencing of chemotherapeutic and surgical treatments. This work has been carried out in the context of ovarian cancer; however, the results may also be useful for other kind of cancers.     

14-3-3 zeta protein secreted by tumor associated monocytes/macrophages from ascites of epithelial ovarian cancer patients

Tumor associated monocytes/macrophages (MO/MA) are known contributors to the immune-inflammatory cell environment of advanced epithelial ovarian carcinoma (EOC). The secreted proteome of ascitic MO/MA was examined as an aid to the discovery of novel proteins in EOC that are likely to have biological relevance in the inflammatory pathways of EOC. Ascitic fluid MO/MA were isolated from EOC patients, grown short-term in serum-free media. MO/MA supernatants were analyzed for secreted proteins by HPLC fractionation followed by LC-tandem mass spectrometric analysis. The 14-3-3 zeta adaptor protein was identified in supernatants of three of three EOC patients but not in supernatants of buffy coat monocytes isolated from normal donors or the established monocyte cell line THP1. Moreover, 14-3-3 zeta was identified in ascitic fluids in eight of eight chemotherapy-naïve patients by both immunoblot and mass spectrometric analysis. Immunofluorescent staining for 14-3-3 zeta demonstrated expression of the protein on ascitic and peritumoral macrophages in EOC patients. 14-3-3 zeta was also expressed on endothelial cells in the peritumoral stroma and partially on tumor cells. Uptake of 14-3-3 zeta was observed in EOC cell lines co-cultured with the recombinant protein expressed in E. coli. It is demonstrated for the first time that the important adaptor protein 14-3-3 zeta is common to the secretome of ascitic MO/MA and the ascites of advanced EOC patients.     

Study of HLA class I restriction and the directed antigens of cytotoxic T lymphocytes at the tumor sites of ovarian cancer

The molecular basis of T-cell-mediated recognition of ovarian cancer cells remains to be fully addressed. In this study we investigated HLA class I restriction and directed antigens of cytotoxic T lymphocytes (CTL) at the sites of ovarian cancer. Three HLA-class-I-restricted CTL lines were established from the tumor sites of ovarian cancer by culturing tumor-infiltrating lymphocytes or tumor-associated ascitic lymphocytes with interleukin-2: (1) HLA-A2402-restricted and ovarian-adenocarcinoma-specific CTL, (2) HLA-A2-restricted CTL recognizing histologically different cancers, and (3) HLA-B52-restricted and ovarian-cancer-specific CTL. HLA-A0201, HLA-A0206 and HLA-A0207 tumor cells were lysed by the HLA-A2-restricted CTL. HLA-B52 restriction of the third CTL line was confirmed by the transfection of HLA-B5201 cDNA into the tumor cells. The HLA-A2-restricted CTL recognized the SART-1, but not the MAGE-1 or MAGE-3 antigen. These results may facilitate a better understanding of the molecular basis of tumor-specific immunity at the tumor site of ovarian cancer. Received: 30 December 1998 / Accepted: 2 March 1999     

Polyphenols bearing cinnamaldehyde scaffold showing cell growth inhibitory effects on the cisplatin-resistant A2780/Cis ovarian cancer cells

Ovarian carcinoma remains the most lethal among gynecological cancers. Chemoresistance is a clinical problem that severely limits treatment success. To identify potent anticancer agents against the cisplatin-resistant human ovarian cancer cell line A2780/Cis, 26 polyphenols bearing a cinnamaldehyde scaffold were synthesized. Structural differences in their inhibitory effect on clonogenicity of A2780/Cis cells were elucidated using comparative molecular field analysis and comparative molecular similarity indices analysis. Structural conditions required for increased inhibitory activity can be derived based on the analysis of their contour maps. The two most active compounds (16 and 19) were selected and further characterized their biological activities. We found that compounds 16 and 19 trigger cell cycle arrest at the G2/M phase and apoptotic cell death in cisplatin-resistant A2780/Cis human ovarian cancer cells. The molecular mechanism of compound 16 was elucidated using in vitro aurora A kinase assay, and the binding mode between the compound 16 and aurora A kinase was interpreted using in silico docking experiments. The findings obtained here may help us develop novel plant-derived polyphenols used for potent chemotherapeutic agents. In conclusion, compounds 16 and 19 could be used as promising lead compounds for the development of novel anticancer therapies in the treatment of cisplatin-resistant ovarian cancers.     

Role of the Akt/mTOR survival pathway in cisplatin resistance in ovarian cancer cells

The mechanism of cisplatin resistance in cancer cells is not fully understood. Here, we show that the Akt/mTOR survival pathway plays an important role in cisplatin resistance in human ovarian cancer cells. Specifically, we found that cisplatin treatment activates the Akt/mTOR survival pathway and that inhibition of this pathway by the PI3 K inhibitor LY294002 or knockdown of Akt sensitizes ovarian cancer cells to cisplatin. Furthermore, we generated cisplatin-resistant cells and found that resistant cells express a higher level of activated Akt as compared to their cisplatin sensitive counterparts. Importantly, inhibition of Akt or mTOR sensitized resistant cells to cisplatin-induced apoptosis. Taken together, our data indicate that activation of the Akt/mTOR pathway prevents cisplatin-induced apoptosis, leading to cisplatin resistance. Therefore, our study suggests that cisplatin resistance can be overcome by targeting the Akt/mTOR survival pathway in human ovarian cancer cells.     

2D-PAGE of ovarian cancer: analysis of soluble and insoluble fractions using medium-range immobilized pH gradients

Ovarian cancer remains a leading cause of cancer death. A comparative proteomic study was performed on normal ovarian tissue (n = 5) and grade 3 ovarian tumours (n = 5) to search for differentially expressed proteins. In contrast to other studies, here we extracted proteins in soluble and insoluble protein fractions using commercial kits and also utilised three medium-range IPG strips that encompassed the broad pH range of 3–10 (pH 3–6, 5–8 and 7–10). Protein fractions were compared by 2D-PAGE and MALDI-TOF/TOF-MS. Nineteen differentially expressed proteins were identified: HSP60, Grp78, CK19, EF-Tu, MRLC2, prohibitin, Stress-70 protein, TPI and tubulin α6 were up-regulated in grade 3 tumours whereas annexin A2 and A5, antithrombin-III precursor, CBR1, GSTM2, GSTM3, RALDH1, serum albumin precursor, transthyretin precursor and vimentin were found to be down-regulated in grade 3 ovarian tumours. These proteins are associated with cytoskeleton rearrangement, cell metabolism, tumour suppression function, apoptosis and induction of host response.