Abstract

Simple SummaryAltered glycosylation of proteins was shown to be implicated in various steps of malignant transformation and tumor progression. For that reason, it is frequently referred to as the next hallmark of cancer. In epithelial ovarian cancer (EOC), a female gynecological malignancy of the highest mortality, N-glycosylation alterations were predominantly investigated at the level of serum glycoproteins and OC cell lines. By contrast, data on in situ N-glycosylation in OC tissue are still very limited, particularly with respect to terminal sialylation. This is despite the increasing number of studies supporting the role of sialylated N-glycans in tumor progression, angiogenesis, and metastasis. In this work, MALDI mass spectrometry imaging (MALDI-MSI) was implemented in combination with chemical sialic acid derivatization to determine tissue type-specific N-glycosylation of less common histotypes of EOC and non-malignant ovarian disease.The particularly high mortality of epithelial ovarian cancer (EOC) is in part linked to limited understanding of its molecular signatures. Although there are data available on in situ N-glycosylation in EOC tissue, previous studies focused primarily on neutral N-glycan species and, hence, still little is known regarding EOC tissue-specific sialylation. In this proof-of-concept study, we implemented MALDI mass spectrometry imaging (MALDI-MSI) in combination with sialic acid derivatization to simultaneously investigate neutral and sialylated N-glycans in formalin-fixed paraffin-embedded tissue microarray specimens of less common EOC histotypes and non-malignant borderline ovarian tumor (BOT). The applied protocol allowed detecting over 50 m/z species, many of which showed differential tissue distribution. Most importantly, it could be demonstrated that α2,6- and α2,3-sialylated N-glycans are enriched in tissue regions corresponding to tumor and adjacent tumor-stroma, respectively. Interestingly, analogous N-glycosylation patterns were observed in tissue cores of BOT, suggesting that regio-specific N-glycan distribution might occur already in non-malignant ovarian pathologies. All in all, our data provide proof that the combination of MALDI-MSI and sialic acid derivatization is suitable for delineating regio-specific N-glycan distribution in EOC and BOT tissues and might serve as a promising strategy for future glycosylation-based biomarker discovery studies.

Highlights

  • According to recent statistics, each year approximately 300,000 women worldwide are diagnosed with ovarian cancer (OC) and 180,000 succumb to this disease

  • The aim of this study was to determine whether MALDI-MSI in combination with chemical derivatization of sialic acids [21] is suitable for the analysis of in situ N-glycosylation in epithelial ovarian cancer (EOC) tissue microarray (TMA) specimens and whether EOC tissue N-glycans, those terminated with α2,6- and α2,3-linked sialic acids, show regio-specific tissue distribution

  • Our data necessitate a validation using a larger cohort, they provide a valuable insight into molecular changes occurring directly within EOC tissue

Read more

Summary

Introduction

Each year approximately 300,000 women worldwide are diagnosed with ovarian cancer (OC) and 180,000 succumb to this disease. Even though OC is rather rare as compared to other malignancies, it is the fifth most common cause of female cancer death and the leading cause of cancer death among gynecological malignancies in women [1,2]. This high mortality is due to inadequate early detection that results from vague, late-occurring disease symptoms and a lack of accurate early diagnostic markers. The most common epithelial ovarian cancer (EOC) accounts for about 90% of all ovarian malignancies and is categorized into five histotypes, i.e., high-grade serous, low-grade serous, clear cell, endometrioid, and mucinous [4]

Objectives
Methods
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.