Microarray-based molecular margin methylation pattern analysis in colorectal carcinoma

The positive surgical margins are associated with postsurgical recurrence in colorectal carcinoma patients, and molecular margin analysis is considered to be more sensitive in detecting preneoplastic lesions than is conventional histological margin examination. Here, we developed a microarray and established six calibration curves for hMLH1 gene methylation patterns analysis in 20 colorectal resected margin specimens and corresponding tumor tissue specimens as well as four normal tissue specimens. The results indicated that a moderate methylation level (8-42%) was found in 20 surgical margin tissues, extensive methylation (25-58%) was detected in 20 tumor tissues, and little or no methylation was observed in normal tissues. Of the six paired probes, the average methylation levels in 20 tumor tissues were 60, 35, 43, 53, 38, and 27%, whereas the average methylation levels of the six paired probes in 20 surgical margin tissues were 43, 16, 24, 28, 21, and 11%. Thus, this study demonstrated the feasibility of this assay for molecular assessment use. In addition, it will contribute significant information to our understanding of CpG island methylation for cancer diagnosis and postoperative recurrence.     

Proteomic characterization of microdissected breast tissue environment provides a protein‐level overview of malignant transformation

Both healthy and cancerous breast tissue is heterogeneous, which is a bottleneck for proteomics‐based biomarker analysis, as it obscures the cellular origin of a measured protein. We therefore aimed at obtaining a protein‐level interpretation of malignant transformation through global proteome analysis of a variety of laser capture microdissected cells originating from benign and malignant breast tissues. We compared proteomic differences between these tissues, both from cells of epithelial origin and the stromal environment, and performed string analysis. Differences in protein abundances corresponded with several hallmarks of cancer, including loss of cell adhesion, transformation to a migratory phenotype, and enhanced energy metabolism. Furthermore, despite enriching for (tumor) epithelial cells, many changes to the extracellular matrix were detected in microdissected cells of epithelial origin. The stromal compartment was heterogeneous and richer in the number of fibroblast and immune cells in malignant sections, compared to benign tissue sections. Furthermore, stroma could be clearly divided into reactive and nonreactive based on extracellular matrix disassembly proteins. We conclude that proteomics analysis of both microdissected epithelium and stroma gives an additional layer of information and more detailed insight into malignant transformation.     

Aromatase expression in ovarian epithelial cancers

Our study focused on aromatase cytochrome P450 (CYP19) expression in ovarian epithelial normal and cancer cells and tissues. Aromatase mRNA expression was analyzed by real-time PCR in ovarian epithelial cancer cell lines, in human ovarian surface epithelial (HOSE) cell primary cultures, and in ovarian tissue specimens (n=94), including normal ovaries, ovarian cysts and cancers. Aromatase mRNA was found to be expressed in HOSE cells, in BG1, PEO4 and PEO14, but not in SKOV3 and NIH:OVCAR-3 ovarian cancer cell lines. Correlation analysis of aromatase expression was performed according to clinical, histological and biological parameters. Aromatase expression in ovarian tissue specimens was higher in normal ovaries and cysts than in cancers (P<0.0001). Using laser capture microdissection in normal postmenopausal ovaries, aromatase was found to be predominantly expressed in epithelial cells as compared to stromal component. Using immunohistochemistry (IHC), aromatase was also detected in the epithelium component. There was an inverse correlation between aromatase and ERalpha expression in ovarian tissues (P<0.001, r=-0.34). In the cancer group, no significant differences in aromatase expression were observed according to tumor histotype, grade, stage and survival. Aromatase activity was evaluated in ovarian epithelial cancer (OEC) cell lines by the tritiated water assay and the effects of third-generation aromatase inhibitors (AIs) on aromatase activity and growth were studied. Letrozole and exemestane were able to completely inhibit aromatase activity in BG1 and PEO14 cell lines. Interestingly, both AI showed an antiproliferative effect on the estrogen responsive BG1 cell line co-expressing aromatase and ERalpha. Aromatase expression was found in ovarian epithelial normal tissues and in some ovarian epithelial cancer cells and tissues. This finding raises the possibility that some tumors may respond to estrogen and provides a basis for ascertaining an antimitogenic effect of AI in a subgroup of ovarian epithelial cancers.     

CCR9和CCL25蛋白在上皮性卵巢癌中表达及临床意义

目的:探讨CCR9和CCL25蛋白在不同卵巢组织中的表达及其与上皮性卵巢癌患者临床病理因素之间的关系。方法:通过组织芯片结合免疫组织化学法检测78例上皮性卵巢癌组织和30例正常卵巢组织中CCR9和CCL25表达水平,结合上皮性卵巢癌病人的临床病理资料,进行统计分析。结果:CCR9和CCL25在上皮性卵巢癌中高表达,在正常卵巢组织中低表达,二者的表达与上皮性卵巢癌的组织类型、患者年龄无显著相关(P0.05),而与淋巴结转移、组织学分级和临床分期有显著相关(P0.05);上皮性卵巢癌组织中CCR9与CCL25表达相关(P0.05)。结论:CCR9和CCL25在上皮性卵巢癌的发生发展中可能起重要作用,二者可能是上皮性卵巢癌治疗的一个潜在的分子靶点。     

WT-1、Smac蛋白在上皮性卵巢癌中的表达和临床意义研究

目的:探讨WT-1和Smac蛋白在上皮性卵巢癌中的表达及其临床意义。方法:应用免疫组织化学染色方法检测40例正常卵巢组织,40例卵巢上皮性良性肿瘤组织,60例全面分期手术治疗的上皮性卵巢癌组织中WT-1、Smac蛋白的表达,并分析WT-1、Smac蛋白的表达与上皮性卵巢癌临床病理特征的相关性及二者之间的相关性。结果:WT-1蛋白在上皮性卵巢癌组织中的表达明显高于正常卵巢组织或卵巢上皮性良性肿瘤组织(P0.05);Smac蛋白在上皮性卵巢癌组织中表达明显低于正常卵巢组织或卵巢上皮性良性肿瘤组织(P0.05)。上皮性卵巢癌组织中WT-1、Smac蛋白的表达与肿瘤临床分期、组织分化程度、淋巴结有无转移均显著相关(P0.05)。且上皮性卵巢癌中WT-1、Smac蛋白的表达呈明显负相关性(r=-0.35,P0.05)。结论:WT-1蛋白高表达或Smac蛋白低表达可能在上皮性卵巢癌的发生、发展中发挥重要作用,检测WT-1、Smac蛋白的表达有助于上皮性卵巢癌恶性程度的判断和预后评估。     

上皮性卵巢癌组织miR-338-3p、miR-1294的表达及临床意义

摘要 目的：探讨上皮性卵巢癌组织中微小RNA（miR）-338-3p、miR-1294表达与患者临床病理参数的关系,并分析其表达对上皮性卵巢癌预后的影响。方法：收集2010年6月～2015年6月我院行手术治疗的上皮性卵巢癌患者的石蜡组织样本（癌组织和癌旁正常组织）,实时荧光定量PCR（RT-PCR）技术检测组织样本中miR-338-3p、miR-1294的表达情况;分析癌组织中miR-338-3p、miR-1294表达与患者临床病理参数的关系;Kaplan-Meier生存曲线分析miR-338-3p、miR-1294表达与患者预后的关系;Cox回归模型分析上皮性卵巢癌患者的预后影响因素。结果：与癌旁正常组织相比,上皮性卵巢癌组织中miR-338-3p、miR-1294表达均降低（均P<0.05）;miR-338-3p表达与组织学分级、淋巴结转移、FIGO分期相关（均P<0.05）;miR-1294表达与肿瘤直径、淋巴结转移、FIGO分期相关（均P<0.05）。Kaplan-Meier生存曲线结果显示,miR-338-3p低表达组患者、miR-1294低表达组患者的预后较差（均P<0.05）。Cox回归模型分析结果显示,淋巴结转移、较高FIGO分期、miR-338-3p低表达、miR-1294低表达是上皮性卵巢癌预后的危险因素（均P<0.05）。结论：上皮性卵巢癌组织中miR-338-3p、miR-1294均低表达,且均与较差临床病理参数、预后不良相关;miR-338-3p、miR-1294可能是上皮性卵巢癌患者预后预测的潜在指标。     

Follicular thyroid carcinoma invades venous rather than lymphatic vessels

In carcinoma tissues, genetic and metabolic changes not only occur at the tumor cell level, but also in the surrounding stroma. This carcinoma-reactive stromal tissue is heterogeneous and consists e.g. of non-epithelial cells such as fibroblasts or fibrocytes, inflammatory cells and vasculature-related cells, which promote carcinoma growth and progression of carcinomas. Nevertheless, there is just little knowledge about the proteomic changes from normal connective tissue to tumor stroma. In the present study, we acquired and analysed specific protein patterns of small stromal sections surrounding head and neck cell complexes in comparison to normal subepithelial connective tissue. To gain defined stromal areas we used laser-based tissue microdissection. Because these stromal areas are limited in size we established the highly sensitive 'tissue on chip based mass spectrometry' (toc-MS). Therefore, the dissected areas were directly transferred to chromatographic arrays and the proteomic profiles were subsequently analysed with mass spectrometry. At least 100 cells were needed for an adequate spectrum. The locating of differentially expressed proteins enables a precise separation of normal and tumor stroma. The newly described toc-MS technology allows an initial insight into proteomic differences between small numbers of exactly defined cells from normal and tumor stroma.     

Proteomic characterization of Her2/neu-overexpressing breast cancer cells

The receptor tyrosine kinase HER2 is an oncogene amplified in invasive breast cancer and its overexpression in mammary epithelial cell lines is a strong determinant of a tumorigenic phenotype. Accordingly, HER2-overexpressing mammary tumors are commonly indicative of a poor prognosis in patients. Several quantitative proteomic studies have employed two-dimensional gel electrophoresis in combination with MS/MS, which provides only limited information about the molecular mechanisms underlying HER2/neu signaling. In the present study, we used a SILAC-based approach to compare the proteomic profile of normal breast epithelial cells with that of Her2/neu-overexpressing mammary epithelial cells, isolated from primary mammary tumors arising in mouse mammary tumor virus-Her2/neu transgenic mice. We identified 23 proteins with relevant annotated functions in breast cancer, showing a substantial differential expression. This included overexpression of creatine kinase, retinol-binding protein 1, thymosin 4 and tumor protein D52, which correlated with the tumorigenic phenotype of Her2-overexpressing cells. The differential expression pattern of two genes, gelsolin and retinol binding protein 1, was further validated in normal and tumor tissues. Finally, an in silico analysis of published cancer microarray data sets revealed a 23-gene signature, which can be used to predict the probability of metastasis-free survival in breast cancer patients.     

Two-dimensional gel analysis of polypeptides from normal,preneoplastic and neoplastic mouse mammary tissues

Summary High-resolution two-dimensional polyacrylamide gel electrophoresis (PAGE) was employed to reveal tumor-associated polypeptide changes, using the BALB/c C4 line mouse mammary model system, for which phenotypic and immunogenic alterations accompanying tumor progression are well defined. In the first set of experiments, polypeptide patterns from 20 µg whole tissue lysates of normal mammary gland, C4 preneoplastic hyperplatic alveolar nodule outgrowth (HAN) and spontaneous tumor from C4 HAN were compared. In order to normalize for differential cellularity and extracellular protein content in the whole tissues, our analysis included polypeptide patterns from serum, increased concentration of protein from whole normal mammary gland, and primary cultures of epithelial cells from normal gland, HAN and tumor. Using a computer-based image-analysis system, 90 polypeptides were identified in C4 tumor that were absent in C4 HAN, normal mammary gland and serum. None of the 90 polypeptides could be shown to represent a definite qualitative change in the protein composition of tumor epithelium as they were found to be either present in a higher concentration of protein from whole normal gland, or present in the primary epithelial culture from HAN, or absent in the primary epithelial culture from tumor.Conversely in the second set of experiments, when epithelial cultures were used as the starting point for comparisons to locate tumor-associated polypeptides, none of the 15 polypeptides that were present in cultures from three different tumors, and absent in the culture from normal mammary gland was specific to C4 tumor, as they were present in whole tissues of normal gland.Thus our experimental approach detected significant quantitative but no qualitative polypeptide changes in whole tumor tissue, or in tumor-derived epithelial cell cultures. This finding may reflect the limitations of the two-dimensional PAGE method, and warrants caution in the use of such gel analysis alone to identify tumor-associated proteins.Supported by NIH grant CA42522     

Epithelium percentage estimation facilitates epithelial quantitative protein measurement in tissue specimens

Background

The rapid advancement of high-throughput tools for quantitative measurement of proteins has demonstrated the potential for the identification of proteins associated with cancer. However, the quantitative results on cancer tissue specimens are usually confounded by tissue heterogeneity, e.g. regions with cancer usually have significantly higher epithelium content yet lower stromal content.

Objective

It is therefore necessary to develop a tool to facilitate the interpretation of the results of protein measurements in tissue specimens.

Methods

Epithelial cell adhesion molecule (EpCAM) and cathepsin L (CTSL) are two epithelial proteins whose expressions in normal and tumorous prostate tissues were confirmed by measuring staining intensity with immunohistochemical staining (IHC). The expressions of these proteins were measured by ELISA in protein extracts from OCT embedded frozen prostate tissues. To eliminate the influence of tissue heterogeneity on epithelial protein quantification measured by ELISA, a color-based segmentation method was developed in-house for estimation of epithelium content using H&E histology slides from the same prostate tissues and the estimated epithelium percentage was used to normalize the ELISA results. The epithelium contents of the same slides were also estimated by a pathologist and used to normalize the ELISA results. The computer based results were compared with the pathologist’s reading.

Results

We found that both EpCAM and CTSL levels, measured by ELISA assays itself, were greatly affected by epithelium content in the tissue specimens. Without adjusting for epithelium percentage, both EpCAM and CTSL levels appeared significantly higher in tumor tissues than normal tissues with a p value less than 0.001. However, after normalization by the epithelium percentage, ELISA measurements of both EpCAM and CTSL were in agreement with IHC staining results, showing a significant increase only in EpCAM with no difference in CTSL expression in cancer tissues. These results were obtained with normalization by both the computer estimated and pathologist estimated epithelium percentage.

Conclusions

Our results show that estimation of tissue epithelium percentage using our color-based segmentation method correlates well with pathologists'' estimation of tissue epithelium percentages. The epithelium contents estimated by color-based segmentation may be useful in immuno-based analysis or clinical proteomic analysis of tumor proteins. The codes used for epithelium estimation as well as the micrographs with estimated epithelium content are available online.     

FLIP、FADD在上皮性卵巢癌中表达及其临床意义

目的：研究FLIP、FADD在上皮性卵巢癌组织中的表达情况,探讨二者在上皮性卵巢癌发生发展中的作用及其临床意义。方法：采用免疫组化SP法及RT—PCR法检测44例上皮性卵巢癌及17例正常卵巢组织中FLIP、FADD的表达,并检测上皮性卵巢癌中PCNA的表达,分析FLIP,FADD表达与上皮性卵巢癌临床病理参数及PCNA表达的关系。结果：FLIP、FADD在上皮性卵巢癌组织中的阳性表达率,与正常卵巢组织相比,差异有统计学意义（P〈0．05）。FLIP,FADD表达与上皮性卵巢癌病理分级及临床分期有关,FLIP、FADD在I—II期中的阳性表达率,与III．IV期相比,差异有统计学意义（P〈0．05）。FLIP、FADD在病理组织学-1级中的阳性表达率,与2—3级相比,差异有统计学意义（P〈0．05）。FLIP、FADD的表达与患者年龄、组织学分型及淋巴结转移无关。上皮性卵巢癌组织中FLIP表达与PCNA表达成线性正相关,r分别0．880和0．564;FADD表达与PCNA表达成线性负相关,r分别为-0．591和-0．683。结论：FLIP、FADD与上皮性卵巢癌的发生发展密切相关,可能是治疗上皮性卵巢癌的潜在靶点。     

Tissue proteomics for cancer biomarker development: laser microdissection and 2D-DIGE

Novel cancer biomarkers are required to achieve early diagnosis and optimized therapy for individual patients. Cancer is a disease of the genome, and tumor tissues are a rich source of cancer biomarkers as they contain the functional translation of the genome, namely the proteome. Investigation of the tumor tissue proteome allows the identification of proteomic signatures corresponding to clinico-pathological parameters, and individual proteins in such signatures will be good biomarker candidates. Tumor tissues are also a rich source for plasma biomarkers, because proteins released from tumor tissues may be more cancer specific than those from non-tumor cells. Two-dimensional difference gel electrophoresis (2D-DIGE) with novel ultra high sensitive fluorescent dyes (CyDye DIGE Fluor satulation dye) enables the efficient protein expression profiling of laser-microdissected tissue samples. The combined use of laser microdissection allows accurate proteomic profiling of specific cells in tumor tissues. To develop clinical applications using the identified biomarkers, collaboration between research scientists, clinicians and diagnostic companies is essential, particularly in the early phases of the biomarker development projects. The proteomics modalities currently available have the potential to lead to the development of clinical applications, and channeling the wealth of produced information towards concrete and specific clinical purposes is urgent.     

Identification of specific nuclear structural protein alterations in human breast cancer

Breast cancer is the most commonly diagnosed type of cancer and a major cause of death in women. Reliable biomarkers are urgently needed to improve early detection or to provide evidence of the prognosis for each individual patient through expression levels in tumor tissue or body fluids. This proteomic analysis focused on the nuclear structure of human breast cancer tissue, which has been shown to be a promising tool for cancer biomarker development. The nuclear matrix composition of human breast cancer (n = 14), benign controls (n = 2), and healthy controls (n = 2) was analyzed by high‐resolution two‐dimensional gel electrophoresis and mass spectrometry. Validation studies were performed in an individual sample set consisting of additional breast cancer tissues (n = 3) and additional healthy control tissues (n = 2) by one‐dimensional immunoblot. In this setting, we identified five proteins that were upregulated in human breast cancer tissue, but absent in the healthy and benign controls (P < 0.001). These spots were also present in the investigated human breast cancer cell lines, but absent in the MCF10a cell line, which represents normal human epithelial breast cells. Two of the breast cancer‐specific proteins have been confirmed to be calponin h2 and calmodulin‐like protein 5 by one‐dimensional immunoblot. This is the first study demonstrating the expression of both proteins in human breast cancer tissue. Further studies are required to investigate the potential role of these proteins as biomarkers for early diagnosis or prognosis in human breast cancer. J. Cell. Biochem. 112: 3176–3184, 2011. © 2011 Wiley Periodicals, Inc.     

Large scale identification of human hepatocellular carcinoma-associated antigens by autoantibodies

Autoantibodies are often detected in hepatocellular carcinoma (HCC), and these responses may represent recognition of tumor Ags that are associated with transformation events. The identities of these Ags, however, are less well known. Using serological analysis of recombinant cDNA expression libraries (SEREX) from four HCC patients, we identified 55 independent cDNA sequences potentially encoding HCC tumor Ags. Of these genes, 15 are novel. Two such proteins, HCA587 and HCA661, were predominantly detected in testis, but not in other normal tissues, except for a weak expression in normal pancreas. In addition to HCC, these two Ags can be found in cancers of other histological types. Therefore, they can be categorized as cancer-testis (CT) Ags. Two other Ags (HCA519 and HCA90) were highly overexpressed in HCC and also expressed in cancer cell lines of lung, prostate, and pancreas, but not in the respective normal tissues. Four other Ags were identified to be expressed in particular types of cancer cell lines (HCA520 in an ovarian cancer cell line, HCA59 and HCA67 in a colon cancer cell line, HCA58 in colon and ovarian cancer cell lines), but not in the normal tissue counterpart(s). In addition, abundant expression of complement inactivation factors was found in HCC. These results indicate a broad range expression of autoantigens in HCC patients. Our findings open an avenue for the study of autoantigens in the transformation, metastasis, and immune evasion in HCC.     

Proteomic signature of human cancer cells

We assessed proteomic profiles as biomarkers for monitoring cell phenotypes. Protein expression profiles were obtained by fluorescence two-dimensional difference gel electrophoresis (2-D-DIGE), in which quantitative ability is improved by labeling proteins with fluorescent dyes prior to electrophoresis. Integrated protein spot intensities were analyzed by a statistical approach. The proteomic data of two groups of cell lines: (1) adenocarcinoma (AC) cell lines derived from lung, pancreas and colon tissues and (2) lung cancer cell lines with different histological backgrounds, including AC, squamous cell carcinoma and small cell carcinoma, were assessed on the basis of prior biological information. Hierarchical clustering analysis and principal component analysis were used to divide the cell lines into subgroups on the basis of similarities between their protein expression profiles. The majority of cell lines were grouped according to their organ of origin or histological background. A machine-learning algorithm selected 32 protein spots that were responsible for the classification. The results indicate that proteomic data generated by 2-D-DIGE can provide a signature of essential cell phenotypes, suggesting that it might be possible to apply this technique to developing tumor markers that could identify the organ of origin of metastatic tumors and contribute to the differential diagnosis of lung cancer.     

FOXP3 在食管癌中表达规律研究

目的:研究FOXP3在食管癌中表达规律。方法:选择2010年1月~2010年10月在我院接受手术治疗的食管鳞癌患者48例,选取所有患者肿瘤组织及正常食管黏膜组织进行免疫组化分析,观察FOXP3在食管癌细胞系Eca-109、正常食管黏膜细胞系Eca-109、人食管癌组织、正常食管黏膜组织的表达,FOXP3在不同年龄、性别、肿瘤分化程度、肿瘤直径、淋巴结转移上的表达。结果:FOXP3在食管癌组织中阳性表达率(85.42%)显著高于正常食管黏膜组织(14.58%),P0.05。FOXP3在正常细胞系表达为阴性,在食管癌细胞系Eca-109中的表达阳性,FOXP3在正常食管黏膜组织中表达阴性,在食管癌组织中表达阳性。在食管癌组织中,FOXP3阳性表达率和食管癌患者的性别、年龄等不同临床病理特征均无关联(P0.05),和T分期、TNM分期、肿瘤直径、淋巴结转移、远处转移等存在关联(P0.05)。结论:食管癌细胞能够表达FOXP3,且其表达水平和食管癌的进展关系密切,可以作为临床诊断及治疗食管癌的重要参考指标。     

The expression of ketohexokinase is diminished in human clear cell type of renal cell carcinoma

For identification and targeting of tumor-associated marker proteins, the proteome of clear cell type of renal cell carcinoma (RCC) and normal kidney tissues was analyzed by 2-DE. Ketohexokinase (also called fructokinase), which catalyzes the phosphorylation of fructose to fructose 1-phosphate, was identified by MALDI-TOF MS and found to be expressed at low rates in the renal tumor tissues. We found a decreased amount of ketohexokinase mRNA in RCC compared to that observed in the normal kidney tissues by Northern blot. The activity of ketohexokinase in 20 clear cell RCC specimens and the 20 corresponding normal kidneys was investigated, and its activity was shown to be approximately 1.4-fold lower in the RCC specimens than in the normal kidney. Ketohexokinase activity in tumor stage pT3 RCC was 1.5-fold lower than in pT1 RCC. The level of ketohexokinase activity in histological grade 3 RCC was 1.8-fold lower than that in grade 1 cancer. In addition, using in situ hybridization, it was revealed that ketohexokinase in the normal kidney tissue was confined to the proximal tubular epithelial cells, while the expression of ketohexokinase in RCC tissues was extremely low. Our research results show that the expression of human ketohexokinase was diminished in clear cell RCC.     

卵巢上皮癌中ING4 基因启动子的甲基化状态及其临床意义

目的：探讨卵巢上皮癌中ING4 基因启动子的甲基化状态及其临床意义。方法：收集2005 年7 月至2012 年6 月哈尔滨医科 大学附属第一医院行全面分期手术并经病理检查确诊的150 例卵巢上皮癌组织标本,并以同期因子宫肌瘤或子宫腺肌症行子宫 全切除术或次全切除术并经病理检查确诊为正常卵巢组织的150 例标本作为对照组。采用甲基化特异性PCR（MSP）技术检测卵 巢上皮癌组织与正常卵巢组织中ING4 基因启动子的甲基化状态,蛋白印迹法检测ING4 蛋白的表达,并分析ING4 基因启动子 的甲基化状态与卵巢上皮癌临床病例特征的关系。结果：卵巢上皮癌组织中ING4 基因启动子的甲基化阳性率为42.7%（64/150）, 明显高于正常卵巢组织（4%,6/150）,差异有统计学意义（P<0.05）。ING4 基因启动子甲基化阳性的卵巢上皮癌组织中ING4蛋白 表达阴性或弱阳性;ING4 基因启动子甲基化阴性的卵巢上皮癌和正常卵巢组织中ING4 蛋白表达阳性;在64 例ING4 基因启动 子甲基化的卵巢上皮癌组织中,ING4 蛋白表达强度与ING4 基因启动子的甲基化程度呈负相关（r=-0.435,P<0.05）。卵巢上皮癌 组织中,ING4 基因甲基化的阳性率随着手术病理分期和组织学分级的增加而增加（P<0.05）;卵巢透明细胞癌（55.6%,10/18）和卵 巢子宫内膜样癌（59.3%,16/27）中ING4 基因甲基化的阳性率显著高于浆液性囊腺癌（33.9%,20/59）和粘液性囊腺癌（39.1%, 18/46）（P<0.05）;ING4基因启动子的甲基化状态与患者的年龄、有无腹水及淋巴结转移均无显著相关性（P>0.05）。结论：ING4 基 因启动子的甲基化可能促进了其在卵巢上皮癌组织中的表达失活,进而促进了卵巢上皮癌的生长和分化。