Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours. (Q41135639)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:25454345%20AND%20SRC:MED&resulttype=core&format=json

23 February 2020

title

Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours (English)

1 reference

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23 February 2020

0 references

6

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23 February 2020

Nuno Lunet

10

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23 February 2020

Sara Ricardo

1

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23 February 2020

Raquel Almeida

5

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23 February 2020

Ulla Mandel

7

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23 February 2020

Ana Felix

9

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23 February 2020

Leonor David

11

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23 February 2020

author name string

Lara Marcos-Silva

2

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23 February 2020

Daniela Pereira

3

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23 February 2020

Rita Pinto

4

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23 February 2020

Henrik Clausen

8

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23 February 2020

publication date

22 October 2014

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23 February 2020

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23 February 2020

volume

9

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23 February 2020

issue

2

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23 February 2020

page(s)

503-512

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describes a project that uses

23 February 2020

ImageJ

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11 June 2022

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inferred from PubMed Central ID database lookup

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Comparison of a novel multiple marker assay vs the Risk of Malignancy Index for the prediction of epithelial ovarian cancer in patients with a pelvic mass

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Identifiers

DOI

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23 February 2020

1 reference

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23 February 2020

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