Journal of Oncology

Journal of Oncology / 2019 / Article

Research Article | Open Access

Volume 2019 |Article ID 8659754 | https://doi.org/10.1155/2019/8659754

Yiying Wang, Shuhui Hong, Jingyi Mu, Yue Wang, Jayanthi Lea, Beihua Kong, Wenxin Zheng, "Tubal Origin of “Ovarian” Low-Grade Serous Carcinoma: A Gene Expression Profile Study", Journal of Oncology, vol. 2019, Article ID 8659754, 9 pages, 2019. https://doi.org/10.1155/2019/8659754

Tubal Origin of “Ovarian” Low-Grade Serous Carcinoma: A Gene Expression Profile Study

Academic Editor: Ozkan Kanat
Received10 Nov 2018
Accepted13 Jan 2019
Published05 Mar 2019

Abstract

Objective. Ovarian low-grade serous carcinomas are thought to evolve in a stepwise fashion from ovarian epithelial inclusions, serous cystadenomas, and serous borderline tumors. Our previous study with clinicopathological approach showed that the majority ovarian epithelial inclusions are derived from the fallopian tubal epithelia rather than from ovarian surface epithelia. This study was designed to gain further insight into the cellular origin of ovarian low-grade serous carcinomas by differential gene expression profiling studies. Methods. Gene expression profiles were studied in 43 samples including 11 ovarian low-grade serous carcinomas, 7 serous borderline tumors, 6 serous cystadenomas, 6 ovarian epithelial inclusions, 7 fallopian tubal epithelia, and 6 ovarian surface epithelia. Comprehensive analyses with hierarchical clustering, Rank-sum analysis and Pearson correlation tests were performed. Final validation was done on selected genes and corresponding proteins. Results. The gene expression profiles distinguished ovarian low-grade serous carcinomas from ovarian surface epithelia, but not from fallopian tubal epithelia cells. Hierarchical clustering analysis showed ovarian serous tumors and ovarian epithelial inclusions were clustered closely in a branch, but separated from ovarian surface epithelia. The results were further validated by selected proteins of OVGP1, WT-1, and FOM3, which were highly expressed in the samples of the fallopian tube, ovarian epithelial inclusions, and ovarian serous tumors, but not in ovarian surface epithelia. The reverse was true for the protein expression patterns of ARX and FNC1. Conclusions. This study provides evidence in a molecular level that ovarian low-grade serous carcinomas likely originate from the fallopian tube rather than from ovarian surface epithelia. Similar gene expression profiles among fallopian tube, ovarian epithelial inclusions, and serous tumors further support that ovarian low-grade serous carcinomas develop in a stepwise fashion. Such findings may have a significant implication for “ovarian” cancer-prevention strategies.

1. Introduction

Ovarian cancer is a leading cause of cancer deaths among women. Among all types of ovarian cancers, ovarian epithelial cancers (OEC), particularly those with serous histology, are responsible for the majority of cancer related mortality [1]. Serous carcinomas of the ovary are divided into high-grade serous carcinomas (HGSC) and low-grade serous carcinomas (LGSC)[2]. This categorization arises from the difference seen with regard to epidemiological and genetic risk factors, precursor lesions, patterns of spreading, molecular events during oncogenesis, response to chemotherapy, and prognosis [35]. The cell of origin of ovarian serous cancers was thought to be derived from ovarian surface epithelia (OSE)[6, 7]. There are high-grade and low-grade serous cancers within the ovarian serous cancer category. In the last decade, multiple morphologic, epidemiologic, and molecular observations have shown that the majority of HGSCs are likely derived from the fallopian tube epithelia (FTE) rather than from the OSE [818]. Furthermore, gene expression profiles and patterns of ovarian HGSC are more similar to those of normal FTE other than OSE [19, 20]. In contrast to the tubal origin of HGSC, the cellular origin of LGSC remains controversial. In general, it is thought that LGSC develops in a stepwise fashion from ovarian epithelial inclusions, benign cystadenomas, and serous borderline tumors [2]. Kurman et al. in 2011 proposed that papillary hyperplasia of the fallopian tube could be the precursor lesions of ovarian serous borderline tumor based on limited experience of pure morphologic observation [21]. However, this observation was not supported by the findings of recent studies [22, 23], emphasizing the need to evaluate the pathogenetic association between papillary hyperplasia of the fallopian tube and borderline tumors. Meanwhile, there were two experimental based publications that addressed the cellular source of serous borderline tumor and LGSC, respectively. A study by Laury et al. explored the cell types of the fallopian tube with a biomarker PAX2 to compare the differentiation characteristics of ovarian serous borderline tumors and concluded that fallopian tube secretory cells are likely the source of serous borderline tumor [24]. The other study was from our own group with a different experimental approach [25]. We performed morphological and immunophenotypic evaluations of LGSC and its precursor OEI, serous cystadenoma, and serous borderline tumors to compare with the patterns of expression of the fallopian tube and OSE. We showed that LGSC is likely derived from tubal secretory cells through a secretory cell expansion process [25]. However, further genetic studies are needed to address the cell of origin of LGSC. The current study with gene expression profiling addresses two aims: (1) confirming if LGSC comes from FTE and (2) showing molecular evidence for a stepwise development fashion of LGSC from OEI, benign serous cystadenoma, and serous borderline tumor (SBT). The study may also uncover novel pathways that could be involved in the genesis of LGSC.

2. Materials and Methods

2.1. Tissue Specimens

Forty-three flash-frozen ovarian and tubal samples which were derived from 6 study groups including LGSC (n=11), SBT (n=7), serous cystadenoma (n=6), OEI (n=6), distal FTE (n=7), and OSE (n=6) specimens were collected. These samples (from year 2013 to year 2016) were obtained from three hospitals including one from China (Henan Provincial Peoples’ Hospital) and two from USA (University of Arizona and University of Texas Southwestern Medical Center). All tumors were classified by using standard International Federation of Gynecology and Obstetrics criteria and confirmed by a gynecologic pathologist (WZ). Tubal epithelia were obtained by using the brushing procedure described recently by our group [26]. Normal ovarian epithelial samples were obtained by brushing the ovarian surface. Since ovarian surface epithelia may contain tubal epithelial cells [25], we made sure that only brushings containing at least 95% calretinin positive cells were used for gene expression analysis. OEI and serous cystadenoma samples were obtained by laser capture microdissection (LCM) as described previously [27]. Samples of SBT and LGSC were obtained by manual dissection under the microscope since these tumors contained abundant tumor cells. Collected samples were immediately suspended and frozen in RLT buffer (Qiagen, Valencia, CA).

Patients ranged in age from 28 to 57 years, with a median age of 45 years. Patients were all premenopausal except 3 that were postmenopausal. Patients with LGSC represented stage 1 (n=8), stage 2 (n=1), and stage 3 (n=2), and patients with SBT were stage 1 (n=6) and stage 3 (n=1). No patient studied received hormonal usage or treatment within the 6 months before surgical resection. All samples obtained during the proliferative phase of the ovarian cycle account for potential hormonal effects on gene expression. The study was approved by institutional review board of all institutions.

2.2. RNA Extraction, Linear Amplification, and Hybridization to GeneChip Arrays

RNA extraction including quality and quantity analysis, reverse transcription, linear amplification, and gene chip array analysis were done as previously described [28] and individual gene expression values were determined by using dChip perfect match-only model [29].

2.3. Clustering Study, Pearson Correlation Data Analysis, and Gene Profile Ontology Analysis

Expression array analyzed data were contrasted by the above 6 groups of tissue samples to see which stratifications produced the most pervasive differences. Setting a univariate P cutoff of 0.005, we identified 410 genes from 63,000 probe sets, suggesting a minimum false discovery rate (FDR). Hierarchical clustering using rank correlation with complete linkage was then applied to the matrix of the ranks of these genes crossing all samples. Based on the 410 differentially expressed genes, unsupervised hierarchical clustering was conducted. To further identify the potential origin of LGSC, we performed rank-sum analysis and Pearson correlation test using the 410 differentially expressed genes. The expression levels of each gene were ranked across samples of LGSC and other serous samples in descending order. The ranks are then summed over all samples of each group and correlation coefficient was calculated between LGSC and other groups using Pearson correlation analysis. In a nonparametric test, Kruskal-Wallis, contrasts were done both with and without inclusion of the normal tubal and ovarian pools. To assess the relative strengths of the group separation, we first identified the genes showing the greatest ability to differentiate 6 groups using Kruskal-Wallis tests.

Statistical analysis for testing differential expression carried out the DESeq R package (1.34.1, Bioconductor). DESeq provides statistical routines for testing differential expression by use of the negative binomial distribution. The resulting P values were adjusted using Benjamini and Hochberg’s approach for controlling the false discovery rate. Genes with an adjusted P value <0.05 found by DESeq were assigned as differentially expressed. Differentially expressed genes were analyzed by gene ontology enrichment analysis.

2.4. Validation Studies with RT-PCR and Immunohistochemistry

Based on the gene expression profiling and gene ontology analysis, we selected 5 differentially expressed genes (OVGP1, WT-1, FOM3, ARX, and FNC1) between FTE and OSE samples for validation by quantitative RT-PCR. Oligonucleotide primers for each gene are presented in Table 1. GAPDH was used as an endogenous control. The comparative threshold cycle method was used to calculate relative quantitation among all sample groups. All experiments were performed in triplicate for both target and reference genes.


Primer namePrimer sequence (5’-3’)

WT-1 (F)GGGGGAGGGTTGTGTTATAT
WT-1 (R)CTCCTTACCCCAACTACCTAACTAC
OVGP1 (F)ACGTCTTATGATGCGCTCCTT
OVGP1 (R)TTATCTGCGGGTGTCCCAAG
FMO3 (F)AATTCGGGCTGTGATATTGC
FMO3 (R)TTGAGGAAGGTTCCAAATCG
ARX (F)GTGCAAGGCTCCCCTAAGAG
ARX (R)CGTTCTCGCGGTACGACTT
FCN1 (F)GGGCAGTGCGGGTAATTCTC
FCN1 (R)GAAGCATGACAGTCGGCGTA

The protein expression levels of the above 5 genes were also investigated in tubal and ovarian tissue samples by immunohistochemistry (IHC). A total of 177 formalin-fixed paraffin tissue samples (different from patients who contributing samples for gene profile study) were tested by routine IHC. These included fallopian tubes including tubal fimbria (n=18), OSE (n=12), LGSC (n=28), SBT (n=35), serous cystadenoma (n=16), and OEI (n=68). The IHC method and evaluation criteria were described previously [30, 31]. Statistical analysis was done using ANOVA followed by least significant difference (P < 0.05). Comparison of unpaired proportions was by Fisher’s exact test (P < 0.05).

3. Results

3.1. Tubal Epithelia, but Not Ovarian Surface Epithelia, Exhibited Indistinguishable Gene Expression Profiles of Ovarian Low-Grade Serous Carcinoma

A total of 5956 differentially expressed genes were identified among the 6 groups of samples studied. Unsupervised hierarchical (agglomerative) clustering of the individual LGSC samples after robust multiarray average normalization showed that the samples of FTE and LGSC had closely related global gene expression profiles. In addition, profiles of OEI, serous cystadenoma, and SBT also clustered closely with that of FTE. In contrast, no clustering association was found from the samples of LGSC, SBT, serous cystadenoma, and OEI compared with the samples of OSE (Figure 1). To examine this relationship more closely, an unsupervised partitive clustering method, binary tree-structured vector quantization, was used. This method iteratively partitioned the 24 cases (11 LGSC, 7 FTE, and 6 OSE) by a k-means algorithm (k=2), considering the partitioning of all probe set responses by a self-organizing map algorithm. This method clearly revealed that samples partitioned together irrespective of presumed origin or known gene alteration status. Two-class paired significance microarray analysis of the two FTE and ovarian LGSC from the same patients revealed no differentially expressed genes at a minimum FDR of 30%, as did two-class unpaired analysis of the remaining LGSC specimens at an FDR of 18%. Therefore, the results indicate that LGSC have similar molecular profiles of the fallopian tube.

3.2. Gene Expression Profiles Were Similar among Samples of Ovarian Epithelial Inclusions, Serous Cystadenoma, Serous Borderline Tumor, and Low-Grade Serous Carcinoma

Among the above 4 groups (OEI, serous cystadenoma, SBT, and LGSC) of the samples, we used unsupervised hierarchical cluster method to analyze differentially expressed genes to determine the overall similarity among OEI, serous cystadenoma, SBT, and LGSC. Although similar, identical results were not obtained using the two clustering methods. This is likely due to the different disease development steps of the low-grade serous carcinogenesis. Again, the expression profiles of all 4 groups resembled significantly the FTE samples, but dramatically different from the OSEs. The data is summarized in the corresponding dendrogram (Figure 1). Rank-sum analysis and Pearson correlation test were applied to further determine the correlation between LGSC and FTE and OSE groups. A significantly greater correlation coefficient was found between LGSC and FTE, but not OSE (data not shown).

3.3. Differential Expression of Genes in the Spectrum of Serous Carcinogenesis

Hierarchical clustering analysis using grouped data revealed that FTE samples clustered with samples of OEI, serous cystadenoma, SBT, and LGSC rather than normal OSE, demonstrating that gene expression altered in mutation carriers is consistent with changes that have occurred in the process of LGSC development. These changes likely reflect and contribute to the overall increased risk for malignant transformation. By using two-class unpaired analysis, we identified 218 probe sets with decreased expression and 468 with increased expression in the 10 LGSC samples relative to the FTE samples that were more similar to normal controls at an FDR of 4.1%. Gene ontology analysis revealed that many differentially expressed probe sets correspond to genes with known roles in the processes of transcriptional regulation, cell cycle control, ubiquitin cycle, and others involved in tumor initiation and progression in general (apoptosis, cell adhesion, and cell motility) (Figure 2). In addition, 121 of 218 (55%) of the probe sets with decreased expression and 127 of 468 (27%) with increased expression overlapped in the same direction as those differentially expressed between OEI and LGSC samples as a group at the same FDR (4.1%), further supporting the idea that some of these downregulated genes, may represent potential early events in low-grade serous carcinogenesis.

3.4. Validation of the Gene Expression Findings by Quantitative RT-PCR and Immunohistochemistry

To verify the results from the gene expression profiles, we selected the most significantly differentially expressed genes between FTE and OSE by RT-PCR. The following candidate genes were selected: OVGP1, WT-1, FMO3, ARX, and FCN1. The first three genes showed high levels of expression in ovarian serous tumors including the putative precursor OEIs and FTE, while the later 2 genes were more expressed in OSE. We used these genes tested additional freshly frozen samples including 8 FTEs, 10 ovaries with at least some OSE, 5 serous cystadenomas, 6 SBT, and 10 LGSCs. The results were compatible with the findings of the gene expression profiles. Representative pictures are presented in Figure 3.

In addition to the freshly frozen samples, we tested the corresponding formalin-fixed tissue samples by using immunohistochemistry. Antibodies against OVGP1, WT-1, and FMO3 showed strong expression in samples of FTE, OEI, and serous tumors including LGSC, while largely negative in OSE. In contrast, antibodies against ARX and FCN1 showed the opposite results. The detailed scores of individual biomarkers obtained by immunohistochemistry are listed in Table 2 and representative staining results are presented in Figure 4.


FTEOEISCSBTLGSCOSE

VGP1280±20218±17196±16226±21164±1812±5
WT-1290±10280±18280±20260±10290±1078±22
FMO3220±18180±26168±28200±30210±2410±8
ARX20±1030±1240±1060±2040±24250±30
FCN130±620±1020±1020±1060±20280±10

FTE, fallopian tubal epithelia; OEI, ovarian epithelial inclusions; SC, serous cystadenoma; SBT, serous borderline tumor; LGSC, low-grade serous carcinoma; OSE, ovarian surface epithelia.
Compared to OSE samples, the expression level of OVGP1, WT-1, and FMO3 was significantly higher in tissues of FTE, OEI, SC, SBT, and LGSC (p < 0.0001), while no statistical differences were detected among the samples of FTE, OEI, SC, SBT, and LGSC. Compared to FTE, OEI, SC, SBT, and LGSC samples, the expression level of ARX and FCN1 was significantly higher in OSEs (p < 0.0001), while no statistical differences were detected among the samples of FTE, OEI, SC, SBT, and LGSC.

4. Discussion

The fallopian tube as the origin of ovarian HGSC has caused a paradigm shift in clinical approach to ovarian cancer [32]. The expanding acceptance of this concept has led to consideration of salpingectomy as a possible preventive method for ovarian cancer [33]. Although HGSC is responsible for approximately 70% of the ovarian epithelial cancer related mortality and morbidity, ovarian LGSC still plays a role in cancer related death. Further understanding the cell of origin and biology of non-HGSC including those LGSCs may contribute ideas for new prevention strategies, improve early detection, and test novel therapies.

Based on current understanding, LGSC likely develops in a stepwise fashion from OEI to serous cystadenoma and then to serous borderline tumor [2]. Prior studies that have supported this model by showing (1) serous borderline tumors and in adjacent serous cystadenoma epithelia are present similar mutations of KRAS and BRAF genes [34]; (2) OEIs from ovaries with serous borderline tumors have higher levels of epithelial cell aneusomy than that of OEIs from ovaries with nonneoplastic disease [35]; and (3) a strong relationship between LGSC and serous borderline tumors has been reported previously [36]. Due to similar epithelial linings, OEIs are thought to be the precursors of majority of serous cystadenomas and the diagnostic criteria for differentiating OEI and serous cystadenoma is based on the 1cm size threshold [37]. Based on this understanding, we previously evaluated the morphologic and immunophenotypic features of ovarian OEIs, OSE, and serous tumors including LGSC and distal tubal epithelium several years ago and concluded that the majority OEIs are derived from the fallopian tube [25]. However, that was a clinicopathologic study, which may not be enough to move the concept forward to guide clinical practice. In the current study, we used the genetic profiling technology to examine if we can identify molecular evidence to support our clinicopathologic observations. From historic perspective, it remains unclear where OEI is derived from fallopian tube or OSE. Therefore, both samples of fallopian tube and OSE were included in the study in addition to the samples from different steps of LGSC development. If our previous observation [25] holds, then we might expect significant differences of the gene expression profiles between fallopian and OSE when compared to the samples from OEI to ovarian LGSC, while a reasonable closer association of gene expression profiles should be present among serous cystadenoma, borderline tumor, and LGSC. To test this hypothesis, we first arrayed a panel of 7 normal tubal and 6 ovarian surface epithelial samples for comparison showing a dramatic difference of expression profiles. Next, by contrasting samples of OEI and 3 groups of ovarian serous tumors, we assembled a list of genes we would use for comparing the normal tubal or ovarian epithelia and checking for parallelism. There is one list of genes per group. A gene made it onto the LGSC list (for example) by having an average expression level in other groups that was (a) >2-fold greater or less than the average expression level in each of the 5 other groups and (b) >100 units greater (less) than the average expression level in each of the 5 other groups.

Our data, with a reasonably good sample size, confirm that gene expression profiles clearly distinguish LGSC from OSE, but not from FTE cells. Histology related changes in gene expression correlated with gene expression in FTE samples serous cystadenoma when normal OSE cells were used as a standard for comparison. Pathologists have noticed the resemblance of the epithelial cells of serous tumors including the OEI (endosalpingiosis) to fallopian tubal epithelia. The current study shows for the first time that genes expressed in the different steps of ovarian LGSC development (OEI, serous cystadenoma, SBT, and LGSC) are also concordantly expressed in the cell of origin that they resemble histologically.

According to the data obtained in this study, multiple genes were upregulated in normal fallopian tube as well as in the samples of OEI, serous cystadenoma, SBT, and LGSC. We verified three upregulated genes in the study: OVGP1, WT-1, and FMO3. OVGP1 encodes a protein that is secreted by nonciliated cells in the mammalian fallopian tube and appears to play a role in optimizing the microenvironment for oocyte maturation and transport, fertilization, and early embryonic development [38]. Due to its relatively specific expression in the fallopian tube, this protein has been used as an organ specific marker to examine if the fallopian tube is the cell of origin of ovarian epithelial cancers in transgenic mouse models [39, 40]. Interestingly, this tubal produced glycoprotein has been detected in the OEI and various ovarian epithelial tumors including SBTs [41]. The WT1 gene, located at chromosome 11p13, provides instructions for making a protein that is necessary for the development of the kidneys and gonads. Within these tissues, WT1 protein, a transcription factor, plays a role in cell growth, the process by which cells mature to perform cellular differentiation or apoptosis. Within pathology, WT-1 protein expression is considered as a serous differentiation marker since it is positively expressed in many ovarian serous tumors including LGSC. FMO3, flavin-containing monooxygenase 3 encoding microsomal flavin-containing monooxygenase, plays an important role during the oxidative metabolism of a variety of xenobiotics. Its expression is sex-independent in human and enriched in the adult liver. This gene and protein was also highly expressed in the fallopian tube in our previous study of tubal origin of ovarian endometriosis [30]. All these three genes and their corresponding proteins are highly expressed in the fallopian tube, but rarely or not expressed in the OSE samples. Meanwhile, these genes and proteins are also highly expressed in the samples of OEI, serous cystadenoma, SBT, and LGSC. Such findings are supportive of tubal origin of ovarian LGSC and it likely develops from OEI to serous cystadenoma and SBT in a stepwise fashion as observed morphologically. FMO3 is recently known to be expressed in serous tumors. All three markers may be considered as candidates for ovarian serous cancer early detection.

There are multiple significantly downregulated genes found in this study. Both ARX and FCN1 had a very low level of expression in samples of FTE, OEI, serous cystadenoma, SBT, and LGSC, but highly expressed in OSEs. The ARX gene, located at the short arm of X chromosome, is part of a larger family of homeobox genes, which act during early embryonic development to control the formation of many body structures including pancreas, testes, brain, and skeletal muscles [42]. ARX protein, as a transcription factor within the developing brain, is involved in neuron migration and communication [42]. LCN1 gene is located on the long arm of chromosome 9. The function of its encoding products, lipocalins, serves as an extracellular transporter by binding a variety of hydrophobic ligands and it may be related to the development of Sjogren’s syndrome [43]. However, it is currently unknown for the functions of these genes and their protein products in the women’s pelvis and their biologic roles when they highly expressed in the cells of OSE. However, these markers may be used in surgical pathology to help differential diagnosis of mesothelial lesions from disease of Mullerian origin.

5. Conclusions

This study provides a genetic profiling evidence that ovarian LGSC most likely originates from the fallopian tube rather than from ovarian surface epithelia. In conjunction with evidence in the published literature and our previous studies, we believe that the development of ovarian LGSC likely follows the following steps. First, the fallopian tubal epithelia, mostly the fimbriated end, becomes adherent to the ovarian surface. This process can be facilitated by chronic inflammation, ovulation, and nonovulation induced disruption of the ovarian surface, which are common activities in reproductive aged women [2]. The adherent tubal epithelia then have a chance of invagination into ovarian cortex to form OEI [25]. The acquisition of KRAS or BRAF and possibly other mutations including PAX-2 in OEIs and serous cystadenomas result in their gradual transformation to serous borderline tumors and ultimately LGSC [4448]. Morphologically, the process of LGSC development is illustrated by the gradual increment of tubal secretory cells and loss of tubal ciliated cells, which may represent some genetic hits deregulating normal cellular differentiation [25]. The current findings, which further augment the important role of fallopian tube in ovarian cancer development, may have implications for the ovarian epithelial cancer-prevention strategies.

Data Availability

All data and materials for the project are either kept in PI (WZ) desktop or remained in the Department of Pathology, UT Southwestern Medical Center.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Yiying Wang and Shuhui Hong contributed equally to this work.

Acknowledgments

We acknowledge the institutes and supporters providing the funds for this study. This work was partially supported by the following grants: Department of Science and Technology of Henan province [Project nos. 162102310174 (Yue Wang) and 162102410040 (Yiying Wang)], Department of Health of Henan Province [Project nos. 201203139 (Yiying Wang), 201503168 (Yiying Wang), and 201602190 (Yue Wang)], Natural Science Foundation of Henan Province [Project no. ZC20180062 (Yiying Wang)], and the Projects of Medical and Health Technology Development program of Shandong Province of China [Project no. 2015WS0242]. The project was also supported in part by the start-up funds of Department of Pathology, the University of Texas Southwestern Medical Center, and Mark and Jane Gibson Endowment fund to Wenxin Zheng. All these funds were involved in the study design, data collection, analysis, data interpretation, or manuscript writing.

References

  1. J. Prat, “New insights into ovarian cancer pathology,” Annals of Oncology, vol. 23, supplement 10, pp. x111–x117, 2012. View at: Publisher Site | Google Scholar
  2. R. J. Kurman and I.-M. Shih, “The origin and pathogenesis of epithelial ovarian cancer: a proposed unifying theory,” The American Journal of Surgical Pathology, vol. 34, pp. 433–443, 2010. View at: Publisher Site | Google Scholar
  3. R. Dong, W. Qiang, H. Guo et al., “Histologic and molecular analysis of patient derived xenografts of high-grade serous ovarian carcinoma,” Journal of Hematology & Oncology, vol. 9, article 92, 2016. View at: Publisher Site | Google Scholar
  4. L. Zhang, J. Han, A. L. Jackson et al., “NT1014, a novel biguanide, inhibits ovarian cancer growth in vitro and in vivo,” Journal of Hematology & Oncology, vol. 9, p. 91, 2016. View at: Publisher Site | Google Scholar
  5. W. Ma, B. M. Gilligan, J. Yuan, and T. Li, “Current status and perspectives in translational biomarker research for PD-1/PD-L1 immune checkpoint blockade therapy,” Journal of Hematology & Oncology, vol. 9, p. 47, 2016. View at: Publisher Site | Google Scholar
  6. M. F. Fathalla, “Incessant ovulation—a factor in ovarian neoplasia?” The Lancet, vol. 2, p. 163, 1971. View at: Publisher Site | Google Scholar
  7. N. Auersperg, “The origin of ovarian cancers--hypotheses and controversies,” Frontiers in Bioscience, vol. 5, pp. 709–719, 2013. View at: Google Scholar
  8. J. W. Carlson, A. Miron, E. A. Jarboe et al., “Serous tubal intraepithelial carcinoma: Its potential role in primary peritoneal serous carcinoma and serous cancer prevention,” Journal of Clinical Oncology, vol. 26, pp. 4160–4165, 2008. View at: Publisher Site | Google Scholar
  9. S. N. Agoff, J. E. Mendelin, V. S. Grieco, and R. L. Garcia, “Unexpected gynecologic neoplasms in patients with proven or suspected BRCA-1 or -2 mutations: Implications for gross examination, cytology, and clinical follow-up,” The American Journal of Surgical Pathology, vol. 26, pp. 171–178, 2002. View at: Publisher Site | Google Scholar
  10. M. J. Callahan, C. P. Crum, F. Medeiros et al., “Primary fallopian tube malignancies in BRCA-positive women undergoing surgery for ovarian cancer risk reduction,” Journal of Clinical Oncology, vol. 25, no. 25, pp. 3985–3990, 2007. View at: Publisher Site | Google Scholar
  11. D. W. Kindelberger, Y. Lee, A. Miron et al., “Intraepithelial carcinoma of the fimbria and pelvic serous carcinoma: evidence for a causal relationship,” The American Journal of Surgical Pathology, vol. 31, pp. 161–169, 2007. View at: Publisher Site | Google Scholar
  12. A. Finch, M. Beiner, J. Lubinski et al., “Salpingo-oophorectomy and the risk of ovarian, fallopian tube, and peritoneal cancers in women with a BRCA1 or BRCA2 mutation,” The Journal of the American Medical Association, vol. 296, pp. 185–192, 2006. View at: Publisher Site | Google Scholar
  13. J. T. Rabban, E. Krasik, L.-M. Chen, C. B. Powell, B. Crawford, and C. J. Zaloudek, “Multistep level sections to detect occult fallopian tube carcinoma in risk-reducing salpingo-oophorectomies from women with BRCA mutations: Implications for defining an optimal specimen dissection protocol,” The American Journal of Surgical Pathology, vol. 33, pp. 1878–1885, 2009. View at: Publisher Site | Google Scholar
  14. C. P. Crum, “Intercepting pelvic cancer in the distal fallopian tube: theories and realities,” Molecular Oncology, vol. 3, pp. 165–170, 2009. View at: Publisher Site | Google Scholar
  15. A. K. Folkins, E. A. Jarboe, M. H. Roh, and C. P. Crum, “Precursors to pelvic serous carcinoma and their clinical implications,” Gynecologic Oncology, vol. 113, pp. 391–396, 2009. View at: Publisher Site | Google Scholar
  16. E. A. Jarboe, A. K. Folkins, R. Drapkin, T. A. Ince, E. S. Agoston, and C. P. Crum, “Tubal and ovarian pathways to pelvic epithelial cancer: a pathological perspective,” Histopathology, vol. 53, pp. 127–138, 2008. View at: Publisher Site | Google Scholar
  17. Y. Lee, A. Miron, R. Drapkin et al., “A candidate precursor to serous carcinoma that originates in the distal fallopian tube,” The Journal of Pathology, vol. 211, pp. 26–35, 2007. View at: Google Scholar
  18. M. H. Roh, Y. Yassin, A. Miron et al., “High-grade fimbrial-ovarian carcinomas are unified by altered p53, PTEN and PAX2 expression,” Modern Pathology, vol. 23, no. 10, pp. 1316–1324, 2010. View at: Publisher Site | Google Scholar
  19. R. T. Marquez, K. A. Baggerly, A. P. Patterson et al., “Patterns of gene expression in different histotypes of epithelial ovarian cancer correlate with those in normal fallopian tube, endometrium, and colon,” Clinical Cancer Research, vol. 11, pp. 6116–6126, 2005. View at: Publisher Site | Google Scholar
  20. A. A. Tone, H. Begley, M. Sharma et al., “Gene expression profiles of luteal phase fallopian tube epithelium from BRCA mutation carriers resemble high-grade serous carcinoma,” Clinical Cancer Research, vol. 14, pp. 4067–4078, 2008. View at: Publisher Site | Google Scholar
  21. R. J. Kurman, R. Vang, J. Junge, C. G. Hannibal, S. K. Kjaer, and I.-M. Shih, “Papillary tubal hyperplasia: The putative precursor of ovarian atypical proliferative (borderline) serous tumors, noninvasive implants, and endosalpingiosis,” The American Journal of Surgical Pathology, vol. 35, pp. 1605–1614, 2011. View at: Publisher Site | Google Scholar
  22. L.-C. Horn, K. Angermann, B. Hentschel, J. Einenkel, and A. K. Höhn, “Frequency of papillary tubal hyperplasia (PTH), salpingoliths and transition from adenoma to borderline ovarian tumors (BOT): a systematic analysis of 74 BOT with different histologic types,” Pathology - Research and Practice, vol. 213, no. 4, pp. 305–309, 2017. View at: Publisher Site | Google Scholar
  23. R. J. Wolsky, M. A. Price, C. J. Zaloudek, and J. T. Rabban, “Mucosal proliferations in completely examined fallopian tubes accompanying ovarian low-grade serous tumors: neoplastic precursor lesions or normal variants of benign mucosa?” International journal of gynecological pathology : official journal of the International Society of Gynecological Pathologists, vol. 37, no. 3, pp. 262–274, 2018. View at: Publisher Site | Google Scholar
  24. A. R. Laury, G. Ning, C. M. Quick et al., “Fallopian tube correlates of ovarian serous borderline tumors,” The American Journal of Surgical Pathology, vol. 35, no. 12, pp. 1759–1765, 2011. View at: Publisher Site | Google Scholar
  25. J. Li, N. Abushahin, S. Pang et al., “Tubal origin of ‘ovarian’ low-grade serous carcinoma,” Modern Pathology, vol. 24, no. 11, pp. 1488–1499, 2011. View at: Publisher Site | Google Scholar
  26. H. Chen, R. Klein, S. Arnold, S. Chambers, and W. Zheng, “Cytologic studies of the fallopian tube in patients undergoing salpingo-oophorectomy,” Cancer Cell International, vol. 16, p. 78, 2016. View at: Google Scholar
  27. L. Jia, Y. Liu, X. Yi et al., “Endometrial glandular dysplasia with frequent p53 gene mutation: A genetic evidence supporting its precancer nature for endometrial serous carcinoma,” Clinical Cancer Research, vol. 14, no. 8, pp. 2263–2269, 2008. View at: Publisher Site | Google Scholar
  28. H. Wang, C. Horbinski, H. Wu et al., “NanoStringDiff: a novel statistical method for differential expression analysis based on NanoString nCounter data,” Nucleic Acids Research, vol. 44, p. e151, 2016. View at: Google Scholar
  29. S. S. Cho, Y. Kim, J. Yoon et al., “A model-based joint identification of differentially expressed genes and phenotype-associated genes,” PLoS ONE, vol. 11, Article ID e0149086, 2016. View at: Publisher Site | Google Scholar
  30. Z. Yuan, L. Wang, Y. Wang et al., “Tubal origin of ovarian endometriosis,” Modern Pathology, vol. 27, no. 8, pp. 1154–1162, 2014. View at: Publisher Site | Google Scholar
  31. C. Qiu, N. Lu, X. Wang et al., “Gene expression profiles of ovarian low-grade serous carcinoma resemble those of fallopian tube epithelium,” Gynecologic Oncology, vol. 147, no. 3, pp. 634–641, 2017. View at: Publisher Site | Google Scholar
  32. W. Glenn McCluggage, L. Hirschowitz, C. Blake Gilks, N. Wilkinson, and N. Singh, “The fallopian tube origin and primary site assignment in extrauterine high-grade serous carcinoma: findings of a survey of pathologists and clinicians,” International Journal of Gynecological Pathology : Official Journal of the International Society of Gynecological Pathologists, vol. 36, no. 3, pp. 230–239, 2017. View at: Publisher Site | Google Scholar
  33. K. C. Long Roche, N. R. Abu-Rustum, M. Nourmoussavi, and O. Zivanovic, “Risk-reducing salpingectomy: let us be opportunistic,” Cancer, vol. 123, no. 10, pp. 1714–1720, 2017. View at: Publisher Site | Google Scholar
  34. C.-L. Ho, R. J. Kurman, R. Dehari, T.-L. Wang, and I.-M. Shih, “Mutations of BRAF and KRAS precede the development of ovarian serous borderline tumors,” Cancer Research, vol. 64, no. 19, pp. 6915–6918, 2004. View at: Publisher Site | Google Scholar
  35. M. Körner, E. Burckhardt, and L. Mazzucchelli, “Different proportions of aneusomic cells in ovarian inclusion cysts associated with serous borderline tumours and serous high-grade carcinomas support different pathogenetic pathways,” The Journal of Pathology, vol. 207, no. 1, pp. 20–26, 2005. View at: Publisher Site | Google Scholar
  36. A. Malpica, M. T. Deavers, K. Lu et al., “Grading ovarian serous carcinoma using a two-tier system,” The American Journal of Surgical Pathology, vol. 28, no. 4, pp. 496–504, 2004. View at: Publisher Site | Google Scholar
  37. R. E. Scully, “Pathology of ovarian cancer precursors,” Journal of Cellular Biochemistry, vol. 59, no. 23 S, pp. 208–218, 1995. View at: Publisher Site | Google Scholar
  38. W. C. Buhi, “Characterization and biological roles of oviduct-specific, oestrogen-dependent glycoprotein,” Reproduction, vol. 123, no. 3, pp. 355–362, 2002. View at: Publisher Site | Google Scholar
  39. I. Miyoshi, K. Takahashi, Y. Kon et al., “Mouse transgenic for murine oviduct-specific glycoprotein promoter-driven simian virus 40 large T-antigen: tumor formation and its hormonal regulation,” Molecular Reproduction and Development, vol. 63, no. 2, pp. 168–176, 2002. View at: Publisher Site | Google Scholar
  40. R. Wu, Y. Zhai, R. Kuick et al., “Impact of oviductal versus ovarian epithelial cell of origin on ovarian endometrioid carcinoma phenotype in the mouse,” The Journal of Pathology, vol. 240, no. 3, pp. 341–351, 2016. View at: Publisher Site | Google Scholar
  41. M. M. M. Woo, C. B. Gilks, H. G. Verhage, T. A. Longacre, P. C. K. Leung, and N. Auersperg, “Oviductal glycoprotein, a new differentiation-based indicator present in early ovarian epithelial neoplasia and cortical inclusion cysts,” Gynecologic Oncology, vol. 93, no. 2, pp. 315–319, 2004. View at: Publisher Site | Google Scholar
  42. F. Meijlink, A. Beverdam, A. Brouwer, T. C. Oosterveen, and D. Ten Berge, “Vertebrate aristaless-related genes,” The International Journal of Developmental Biology, vol. 43, pp. 651–663, 1999. View at: Google Scholar
  43. L. A. Aqrawi, H. K. Galtung, B. Vestad et al., “Identification of potential saliva and tear biomarkers in primary Sjogren's syndrome, utilising the extraction of extracellular vesicles and proteomics analysis,” Arthritis Research & Therapy, vol. 19, no. 14, 2017. View at: Google Scholar
  44. G. Singer, R. Oldt, Y. Cohen et al., “Mutations in BRAF and KRAS characterize the development of low-grade ovarian serous carcinoma,” Journal of the National Cancer Institute, vol. 95, pp. 484–486, 2003. View at: Publisher Site | Google Scholar
  45. A. A. Alvarez, W. F. Moore, S. J. Robboy et al., “K-ras mutations in müllerian inclusion cysts associated with serous borderline tumors of the ovary,” Gynecologic Oncology, vol. 80, pp. 201–206, 2001. View at: Publisher Site | Google Scholar
  46. C. J. Haas, J. Diebold, A. Hirschmann, H. Rohrbach, and U. Löhrs, “In serous ovarian neoplasms the frequency of Ki-ras mutations correlates with their malignant potential,” Virchows Archiv, vol. 434, no. 2, pp. 117–120, 1999. View at: Publisher Site | Google Scholar
  47. D. Mayr, A. Hirschmann, U. Löhrs, and J. Diebold, “KRAS and BRAF mutations in ovarian tumors: a comprehensive study of invasive carcinomas, borderline tumors and extraovarian implants,” Gynecologic Oncology, vol. 103, no. 3, pp. 883–887, 2006. View at: Publisher Site | Google Scholar
  48. N. L. Sieben, P. Macropoulos, G. M. Roemen, S. M. Kolkman-Uljee, G. Jan Fleuren, R. Houmadi et al., “In ovarian neoplasms, BRAF, but not KRAS, mutations are restricted to low-grade serous tumours,” The Journal of Pathology, vol. 202, pp. 336–340, 2004. View at: Google Scholar

Copyright © 2019 Yiying Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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