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Objectives: Molecular markers associated with tumor progression in uterine carcinoma are poorly defined. In this study, we determine whether upregulation of LAMC1, a gene encoding extracellular matrix protein, laminin γ1, is associated with various uterine carcinoma subtypes and stages of tumor progression., Methods: An analysis of the immunostaining patterns of laminin γ1 in normal endometrium, atypical hyperplasia, and a total of 150 uterine carcinomas, including low-grade and high-grade endometrioid carcinomas, uterine serous and clear cell carcinoma, was performed. Clinicopathological correlation was performed to determine biological significance. The Cancer Genome Atlas (TCGA) data set was used to validate our results., Results: As compared to normal proliferative and secretory endometrium, for which laminin γ1 immunoreactivity was almost undetectable, increasing laminin C1 staining intensity was observed in epithelial cells from atypical hyperplasia to low-grade endometrioid to high-grade endometrioid carcinoma, respectively. Laminin γ1 expression was significantly associated with FIGO stage, myometrial invasion, cervical/adnexal involvement, angiolymphatic invasion and lymph node metastasis. Similarly, analysis of the endometrial carcinoma data set from TCGA revealed that LAMC1 transcript levels were higher in high-grade than those in low-grade endometrioid carcinoma. Silencing LAMC1 expression by siRNAs in a high-grade endometrioid carcinoma cell line did not affect its proliferative activity but significantly suppressed cell motility and invasion in vitro., Conclusions: These data suggest that laminin γ1 may contribute to the development and progression of uterine carcinoma, likely through enhancing tumor cell motility and invasion. Laminin γ1 warrants further investigation regarding its role as a biomarker and therapeutic target in uterine carcinoma., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Objectives: Structural aberration in chromosomes characterizes almost all human solid cancers and analysis of those alterations may reveal the history of chromosomal instability. However, the clinical significance of massive chromosomal abnormality in ovarian high-grade serous carcinoma (HGSC) remains elusive. In this study, we addressed this issue by analyzing the genomic profiles in 455 ovarian HGSCs available from The Cancer Genome Atlas (TCGA)., Methods: DNA copy number, mRNA expression, and clinical information were downloaded from the TCGA data portal. A chromosomal disruption index (CDI) was developed to summarize the extent of copy number aberrations across the entire genome. A Cox regression model was applied to identify factors associated with poor prognosis. Genes whose expression was associated with CDI were identified by a 2-stage multivariate linear regression and were used to find enriched pathways by Ingenuity Pathway Analysis., Results: Multivariate survival analysis showed that a higher CDI was significantly associated with a worse overall survival in patients. Interestingly, the pattern of DNA copy number alterations across all the chromosomes was similar between tumors with high and low CDI, suggesting they did not arise from different mechanisms. We also observed that expression of several genes was highly correlated with the CDI, even after adjusting for local copy number variation. We found that molecular pathways involving DNA damage response and mitosis were significantly enriched in these CDI-correlated genes., Conclusion: Our results provide a new insight into the role of chromosomal rearrangement in the development of HGSC and the promise of applying CDI in risk-stratifying HGSC patients, perhaps for different clinical managements. The genes whose expression is correlated with CDI are worthy of further study to elucidate the mechanism of chromosomal instability in HGSC., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Objective: Endometrial stromal sarcoma (ESS) and leiomyosarcoma (LMS) are the two most common uterine sarcomas, but both are rare tumors. The aim of the present study was to compare the global gene expression patterns of ESS and LMS., Methods: Gene expression profiles of 7 ESS and 13 LMS were analyzed using the HumanRef-8 BeadChip from Illumina. Differentially expressed candidate genes were validated using quantitative real-time PCR and immunohistochemistry., Results: Unsupervised hierarchical clustering using all 54,675 genes in the array separated ESS from LMS samples. We identified 549 unique probes that were significantly differentially expressed in the two malignancies by greater than 2-fold with 1% FDR cutoff using one-way ANOVA with Benjamini-Hochberg correction, of which 336 and 213 were overexpressed in ESS and LMS, respectively. Genes overexpressed in ESS included SLC7A10, EFNB3, CCND2, ECEL1, ITM2A, NPW, PLAG1 and GCGR. Genes overexpressed in LMS included CDKN2A, FABP3, TAGLN, JPH2, GEM, NAV2 and RAB23. The top 100 genes overexpressed in LMS included those coding for myosin light chain and caldesmon, but not the genes coding for desmin or actin. CD10 was not overexpressed in ESS. Results for selected genes were validated by quantitative real-time PCR and immunohistochemistry., Conclusions: We present the first study in which gene expression profiling was shown to distinguish between ESS and LMS. The molecular signatures unique to each of these malignancies may aid in expanding the diagnostic battery for their differentiation, and may provide a molecular basis for prognostic studies and therapeutic target discovery., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Objective: To examine the value of individual and combinations of ovarian cancer associated blood biomarkers for the discrimination between plasma of patients with type I or II ovarian cancer and disease-free volunteers., Methods: Levels of 14 currently promising ovarian cancer-related biomarkers, including CA125, macrophage inhibitory factor-1 (MIF-1), leptin, prolactin, osteopontin (OPN), insulin-like growth factor-II (IGF-II), autoantibodies (AAbs) to eight proteins: p53, NY-ESO-1, p16, ALPP, CTSD, B23, GRP78, and SSX, were measured in the plasma of 151 ovarian cancer patients, 23 with borderline ovarian tumors, 55 with benign tumors and 75 healthy controls., Results: When examined individually, seven candidate biomarkers (MIF, Prolactin, CA-125, OPN, Leptin, IGF-II and p53 AAbs) had significantly different plasma levels between type II ovarian cancer patients and healthy controls. Based on the receiver operating characteristic (ROC) curves constructed and area under the curve (AUC) calculated, CA125 exhibited the greatest power to discriminate the plasma samples of type II cancer patients from normal volunteers (AUC 0.9310), followed by IGF-II (AUC 0.8514), OPN (AUC 0.7888), leptin (AUC 0.7571), prolactin (AUC 0.7247), p53 AAbs (AUC 0.7033), and MIF (AUC 0.6992). p53 AAbs levels exhibited the lowest correlation with CA125 levels among the six markers, suggesting the potential of p53 AAbs as a biomarker independent of CA125. Indeed, p53 AAbs increased the AUC of ROC curve to the greatest extent when combining CA125 with one of the other markers. At a fixed specificity of 100%, the addition of p53 AAbs to CA125 increased sensitivity from 73.8% to 85.7% to discriminate type II cancer patients from normal controls. Notably, seropositivity of p53 AAbs is comparable in type II ovarian cancer patients with negative and positive CA125, but has no value for type I ovarian cancer patients., Conclusions: p53 AAbs might be a useful blood-based biomarker for the detection of type II ovarian cancer, especially when combined with CA125 levels., (Copyright © 2011 Elsevier Inc. All rights reserved.)

Objective: To address the hypothesis that type II ovarian carcinoma, mutation of p53 and plasma levels of particular cytokines are associated with the generation of p53-specific serum autoantibody (AAb) responses in patients., Methods: Levels of CA125, 17 cytokines and AAbs to tumor-associated antigens including p53 were measured in plasma of 130 gynecologic tumor patients and 84 healthy controls. TP53 exons 4-9 were sequenced in tumor specimens., Results: p53 AAbs are associated with high grade, but not low grade ovarian carcinoma. Seropositivity for p53 AAb occurred only in those ovarian carcinoma patients whose tumors contained mutated TP53, regardless of the exon targeted. Higher p53 AAb levels were detected in ovarian carcinoma patients who had higher stage disease, but p53 AAb levels were not correlated with CA125 levels. Among high-grade carcinoma patients, there was no relationship between p53 AAb seropositivity and seropositivity to other tumor-associated antigens tested, CA125 level or survival outcome. Both high and low grade ovarian carcinoma patients exhibited elevated levels of IL6, IL8 and IL10 as compared to healthy volunteers, although increased levels of IL5, MCP1, MIP1 and TNFalpha were associated only with high grade and advanced disease. Higher levels of p53AAb responses were correlated with elevated circulating IL4 and IL12, but reduced IL8 levels., Conclusion: Type II, but not type I, ovarian carcinoma patients had elevated serum levels of p53 AAb. P53 AAb is associated with mutation of TP53, higher plasma IL4 and IL12 but lower plasma IL8 levels and no survival advantage.

Ovarian cancer is the most lethal gynecologic neoplastic disease in which the molecular etiology remains largely unclear. Like other cancer types, evolution of ovarian tumor cell species is accompanied by acquisition of novel gene products and these new tumor-associated antigens elicit a host immune response that creates selection pressure upon the emerging tumor clones. One of the mechanisms that ovarian cancer cells evade immune surveillance is by upregulating human leukocyte antigen-G (HLA-G) expression. HLA-G is a non-classical MHC class I molecule and accumulated evidence has suggested its biological role in inactivating immune response. It has been well known that HLA-G expression is frequently detected in the most aggressive type of ovarian cancer, i.e., high-grade serous carcinoma, and measurement of HLA-G protein levels has shown promise for detection and prognosis prediction in ovarian cancer. This review summarizes those recent studies on HLA-G expression in ovarian cancer with special focus on its clinical and biological significance which is fundamental to elucidate the molecular mechanisms in ovarian cancer development and paves the foundation for future HLA-G-based diagnostics and therapeutics.

Objective: Kallikreins belong to the serine protease family and their roles as cancer associated markers have been proposed. However, a comprehensive and parallel analysis of different secreted kallikreins in ovarian cancer has not been performed. This study was undertaken to profile the secreted kallikreins in cancer effusion supernatants., Methods: We applied ELISA to measure the protein levels of nine kallikreins (4-8, 10, 11, 13, and 14) in a total of 221 effusion supernatants obtained from ovarian cancer, benign non-neoplastic diseases and a variety of other neoplastic diseases., Results: Our results demonstrated that ovarian cancer effusions contained higher levels of all kallikreins analyzed except kallikrein 4, as compared to benign effusions (p<0.0005) and other cancer types (p<0.03). Unsupervised principal component analyses demonstrated a unique cluster of ovarian cancer samples which were distinct from benign effusions and other cancer groups based on measurements of secreted kallikreins 5-8, 10, 11, 13 and 14. Supervised combinations of the eight kallikreins achieved areas under ROC curve of 0.994 and 0.961 in separating ovarian cancer from benign effusion groups and other cancer groups, respectively. Among kallikreins, kallikreins 6, 7, 8, and 10 showed the highest statistical power in distinguishing ovarian cancer from benign controls and other cancer groups and these kallikreins could diagnose false negative cases based on cytology., Conclusions: The above findings indicate that kallikreins 6, 7, 8 and 10 are the four most specific secreted kallikreins in ovarian cancer. These kallikreins may have clinical implications in the differential diagnosis of ovarian carcinoma from benign diseases and other cancer types.

Objective: We recently identified Rsf-1, a chromatin remodeling gene, as a potential oncogene that is frequently amplified and overexpressed in ovarian serous carcinoma. However, its clinical role in ovarian cancer effusions is not clear. In the present study, we assessed the clinical significance of Rsf-1 overexpression in ovarian carcinoma effusions., Methods: Formalin-fixed paraffin-embedded sections from 168 effusions (134 peritoneal, 34 pleural) were analyzed for Rsf-1 expression using immunocytochemistry. Matched primary tumors (n=48) and solid metastases (n=73) from 48 patients were additionally studied. Rsf-1 expression in tumor cells in effusions was analyzed for possible association with clinicopathologic parameters and survival., Results: Rsf-1 protein expression was found in carcinoma cells in 157/168 (93%) effusions. Of these, 70 (45%) stained weakly and 87 (55%) strongly. Specimens from patients diagnosed with FIGO stage IV disease had higher staining score (extent x intensity) compared with stage III tumors (P=0.008). Rsf-1 expression level was significantly lower in primary tumors and solid metastases (P<0.001 for extent, intensity and score). Univariate survival analysis for 59 patients with post-chemotherapy recurrence effusions demonstrated a significant association between higher Rsf-1 staining and shorter overall survival (OS; P=0.009 for staining extent and intensity, P=0.02 for staining score). FIGO stage was the only clinical parameter associated with OS in this group (P=0.032). In Cox analysis, Rsf-1 expression (P=0.022 for staining extent and intensity, P=0.045 for staining score) and FIGO stage (P=0.035) were independent predictors of shorter survival., Conclusions: Rsf-1 is frequently expressed and upregulated in ovarian carcinoma cells in effusions and is a novel prognostic marker for patients with post-chemotherapy recurrent disease. The above findings support a role of Rsf-1 in mediating disease progression and aggressive clinical behavior in this subset of ovarian carcinoma patients.

Objective: We recently showed that the levels of secreted human leukocyte antigen-G (HLA-G), a nonclassical MHC class I antigen, are significantly elevated in malignant effusions in ovarian carcinoma compared to benign ones. The objective of this study was to evaluate the expression and clinical role of HLA-G in effusions and corresponding solid tumors from patients diagnosed with advanced-stage ovarian carcinoma., Methods: Effusions (= 148), corresponding primary tumors (= 66), and metastatic lesions (= 122) were analyzed using immunohistochemistry with an anti-HLA-G monoclonal antibody., Results: HLA-G was detected in cancer cells in 49/148 (33%) effusions, 33/66 (50%) primary tumors, and 59/122 (48%) solid metastases. These differences did not reach statistical significance. Expression in effusions and solid metastases significantly correlated (P = 0.029). HLA-G expression in tumor cells was significantly lower in effusions obtained during or following chemotherapy (P = 0.038). The presence of HLA-G-positive tumor cells in effusions obtained prior to the institution of chemotherapy correlated with better overall survival (P = 0.042). HLA-G expression in primary tumors and solid metastases did not correlate with any of the clinicopathologic parameters studied., Conclusions: HLA-G is expressed in a significant number of ovarian carcinomas at all anatomic sites. The reduced expression of HLA-G in post-chemotherapy effusions and its correlation with improved survival may be related to preferential susceptibility of HLA-G-expressing cells at this site. Our findings suggest a new role for HLA-G as a prognostic indicator in advanced-stage ovarian cancer in effusions.