ArticleInternational journal of environmental research and public health2020
MALDI-MSI-A Step Forward in Overcoming the Diagnostic Challenges in Ovarian Tumors.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 11 citations in OpenAlex.
- Bis(4-(1,3-benzoxazol-2-yl)) phenyl analogues as novel matrices for Fourier transform ion cyclotron resonance mass spectrometric imaging of lipids in dual ion mode in vulvar squamous cell carcinomas.Analytical and bioanalytical chemistry · 2026Article
- From lab to life: technological innovations in transforming cancer metastasis detection and therapy.Discover oncology · 2025Review
- Membrane-based preparation for mass spectrometry imaging of cultures of bacteria.Analytical and bioanalytical chemistry · 2024Article
- Cutaneous squamous cell carcinoma characterized by MALDI mass spectrometry imaging in combination with machine learning.Scientific reports · 2024Article
- Mass spectrometry imaging in gynecological cancers: the best is yet to come.Cancer cell international · 2022Review
- Bringing Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging to the Clinics.Clinics in laboratory medicine · 2021Review
- Serum Free Amino Acid Profiling in Differential Diagnosis of Ovarian Tumors-A Comparative Study with Review of the Literature.International journal of environmental research and public health · 2021Review
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study presents the use of matrix-assisted laser desorption and ionization mass spectrometry imaging (MALDI-MSI) directly on the tissue of two ovarian tumors that often present a diagnostic challenge, a low-grade serous borderline ovarian tumor and ovarian fibrothecoma. Different spatial distribution of m/z values within the tissue samples was observed, and regiospecific peaks were identified. Among the 106 peaks in the borderline ovarian tumor five, regiospecific peaks (m/z: 2861.35; 2775.79; 3368.34; 3438.43; 4936.37) were selected using FlexImaging software. Subsequently, the distribution of those selected peaks was visualized on the fibrothecoma tissue section, which demonstrated the differences in the tissue homo-/heterogeneous structure of both tumors. The comparison with the histopathological staining of the ovarian borderline tumor tissue section, obtained during serial sectioning, showed a close correlation of the molecular map with the morphological and histopathological features of the tissue and allowed the identification of different tissue types within the sample. This study highlights the potential significance of MSI in enabling morphological characterization of ovarian tumors as well as correct diagnosis and further prognosis than thus far seen in the literature. Osteopontin, tropomyosin and orosomucoid are only a couple of the molecules investigated using MALDI-MSI in ovarian cancer research. This study, in line with the available literature, proves the potential of MALDI-MSI to overcome the current limitations of classic histopathological examination giving a more in-depth insight into the tissue structure and thus lead to the more accurate differential diagnosis of ovarian tumors, especially in the most challenging cases.
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