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OLFM4, KNG1 and Sec24C identified by proteomics and immunohistochemistry as potential markers of early colorectal cancer stages

Overview of attention for article published in Clinical Proteomics, March 2017
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Title
OLFM4, KNG1 and Sec24C identified by proteomics and immunohistochemistry as potential markers of early colorectal cancer stages
Published in
Clinical Proteomics, March 2017
DOI 10.1186/s12014-017-9143-3
Pubmed ID
Authors

Florence Quesada-Calvo, Charlotte Massot, Virginie Bertrand, Rémi Longuespée, Noëlla Blétard, Joan Somja, Gabriel Mazzucchelli, Nicolas Smargiasso, Dominique Baiwir, Marie-Claire De Pauw-Gillet, Philippe Delvenne, Michel Malaise, Carla Coimbra Marques, Marc Polus, Edwin De Pauw, Marie-Alice Meuwis, Edouard Louis

Abstract

Despite recent advances in colorectal cancer (CRC) diagnosis and population screening programs, the identification of patients with preneoplastic lesions or with early CRC stages remains challenging and is important for reducing CRC incidence and increasing patient's survival. We analysed 76 colorectal tissue samples originated from early CRC stages, normal or inflamed mucosa by label-free proteomics. The characterisation of three selected biomarker candidates was performed by immunohistochemistry on an independent set of precancerous and cancerous lesions harbouring increasing CRC stages. Out of 5258 proteins identified, we obtained 561 proteins with a significant differential distribution among groups of patients and controls. KNG1, OLFM4 and Sec24C distributions were validated in tissues and showed different expression levels especially in the two early CRC stages compared to normal and preneoplastic tissues. We highlighted three proteins that require further investigations to better characterise their role in early CRC carcinogenesis and their potential as early CRC markers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 10 18%
Student > Master 9 16%
Student > Bachelor 6 11%
Librarian 1 2%
Other 7 12%
Unknown 13 23%
Readers by discipline Count As %
Medicine and Dentistry 11 19%
Biochemistry, Genetics and Molecular Biology 11 19%
Agricultural and Biological Sciences 5 9%
Engineering 4 7%
Chemistry 3 5%
Other 5 9%
Unknown 18 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 May 2017.
All research outputs
#20,425,762
of 22,977,819 outputs
Outputs from Clinical Proteomics
#243
of 285 outputs
Outputs of similar age
#269,592
of 309,211 outputs
Outputs of similar age from Clinical Proteomics
#3
of 3 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 285 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 309,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.