Dataset Information

Sentinel Lymph Node and Endometrial Cancer Grade in depth Proteomic Analyses : A Novel Approach for Molecular Diagnosis

ABSTRACT: Endometrial cancer is the most common gynecological cancer worldwide. In women from developed countries, endometrial cancer is usually detected after the age of 60 years. Nearly 90% of the diagnosed cases are sporadic, while 10% are attributed to genetic factors. Thus, it is necessary to develop a diagnostic platform. Currently, the lymph node status is a major prognostic factor in assessing endometrial cancer. However, despite its high sensitivity, it is still in debate. In order to increase its selectivity and specificity, in-depth proteomic study has been performed on patients sentinel lymph node (SNL) samples and on grade I to grade III endometrial carcinoma (EC) samples. We identified specific markers of bad diagnosis that clearly correlate SNL to EC i.e. PRSS3, PTX3, ASS1, YBX2, RBM25, MUC5B. These markers have also been detected in TCGA. By contrast, we also detected good prognosis markers for the overall survival such as CD74, GOLM1, SLC9A3R2, SP100 proteins. Markers for EC and SNL cancer-grading have also been identified. Taken together, it is now possible to propose a novel approach for molecular diagnosis, prognosis and patient’s stratification in EC which will be of excellent utility in therapeutic decision.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Ovarian Serous Carcinoma Cell

SUBMITTER: Soulaimane Aboulouard

LAB HEAD: Michel Salzet

PROVIDER: PXD020410 | Pride | 2021-09-09

REPOSITORIES: Pride

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Publications

In-depth proteomics analysis of sentinel lymph nodes from individuals with endometrial cancer.

Aboulouard Soulaimane S Wisztorski Maxence M Duhamel Marie M Saudemont Philippe P Cardon Tristan T Narducci Fabrice F Lemaire Anne-Sophie AS Kobeissy Firas F Leblanc Eric E Fournier Isabelle I Salzet Michel M

Cell reports. Medicine 20210615 6

Endometrial cancer (EC) is one of the most common gynecological cancers worldwide. Sentinel lymph node (SLN) status could be a major prognostic factor in evaluation of EC, but several prospective studies need to be performed. Here we report an in-depth proteomics analysis showing significant variations in the SLN protein landscape in EC. We show that SLNs are correlated to each tumor grade, which strengthens evidence of SLN involvement in EC. A few proteins are overexpressed specifically at each ...[more]

PMID: 34195683

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Project description:It has been recognised for a long time that cell surface glycans plays a vital role in the biological process and their altered form can lead to cancer. However, the molecular details and regulatory mechanism between the glycans and cancer is yet not clear. Over the past decade mass spectrometry-based techniques has become a prominent method for analysing glycans especially N-glycan matrix assisted laser desorption/ionisation mass spectrometry imaging (MALDI MSI). It is a powerful technique that combines mass spectrometry with histology, enabling the visualisation and label free detection of N-linked glycans on a single tissue section. Here, we carried out N-glycan MALDI MSI on six endometrial cancer (EC) formalin fixed paraffin embedded (FFPE) tissue sections including the adjacent normal endometrium, and tissue microarrays (TMA) consisting of 8 EC patients with lymph node metastasis (LNM) and 20 without LNM. By doing that several m/z values were detected that can significantly distinguish normal endometrium from cancerous. Also, detected a m/z value that can discriminate the primary tumour with LNM from those without. Identification of those discriminative m/z values was performed using porous graphitized carbon liquid chromatography tandem mass spectrometry (PGC-LC-MS/MS). Overall, we observed higher abundance of oligomannose in tumour regions compared to normal with AUC ranges from 0.85-0.99. Whereas, complex N-glycans were detected in lower abundance with AUC ranges from 0.03-0.28. Comparison of N-glycans between the primary tumours with LNM and without LNM indicates reduced abundance of a complex core-fucosylated N-glycan in patients with metastasis relative to without. In summary, N-glycan MALDI MSI can be used to characterize the cancerous endometrium from the normal, also patients with LNM from those without. Identification of those discriminative m/z values was performed using porous graphitized carbon liquid chromatography tandem mass spectrometry (PGC-LC-MS/MS).

Dataset Information

Sentinel Lymph Node and Endometrial Cancer Grade in depth Proteomic Analyses : A Novel Approach for Molecular Diagnosis

Publications

In-depth proteomics analysis of sentinel lymph nodes from individuals with endometrial cancer.

Similar Datasets

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