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Lymph node metastasis of primary endometrial cancers: Associated proteins revealed by MALDI imaging
Author(s) -
Mittal Parul,
KlinglerHoffmann Manuela,
Arentz Georgia,
Winderbaum Lyron,
Lokman Noor A,
Zhang Chao,
Anderson Lyndal,
Scurry James,
Leung Yee,
Stewart Colin JR,
Carter Jonathan,
Kaur Gurjeet,
Oehler Martin K.,
Hoffmann Peter
Publication year - 2016
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201500455
Subject(s) - maldi imaging , endometrial cancer , metastasis , medicine , pathology , immunohistochemistry , mass spectrometry imaging , lymphovascular invasion , cancer , lymph node , oncology , cancer research , mass spectrometry , matrix assisted laser desorption/ionization , chemistry , organic chemistry , adsorption , desorption , chromatography
Metastasis is a crucial step of malignant progression and is the primary cause of death from endometrial cancer. However, clinicians presently face the challenge that conventional surgical‐pathological variables, such as tumour size, depth of myometrial invasion, histological grade, lymphovascular space invasion or radiological imaging are unable to predict with accuracy if the primary tumour has metastasized. In the current retrospective study, we have used primary tumour samples of endometrial cancer patients diagnosed with ( n = 16) and without ( n = 27) lymph node metastasis to identify potential discriminators. Using peptide matrix assisted laser desorption/ionisation mass spectrometry imaging (MALDI‐MSI), we have identified m/z values which can classify 88% of all tumours correctly. The top discriminative m/z values were identified using a combination of in situ sequencing and LC‐MS/MS from digested tumour samples. Two of the proteins identified, plectin and α‐Actin‐2, were used for validation studies using LC‐MS/MS data independent analysis (DIA) and immunohistochemistry. In summary, MALDI‐MSI has the potential to identify discriminators of metastasis using primary tumour samples.