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A panel of glycoproteins as candidate biomarkers for early diagnosis and treatment evaluation of B-cell acute lymphoblastic leukemia

Overview of attention for article published in Biomarker Research, January 2016
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Title
A panel of glycoproteins as candidate biomarkers for early diagnosis and treatment evaluation of B-cell acute lymphoblastic leukemia
Published in
Biomarker Research, January 2016
DOI 10.1186/s40364-016-0055-6
Pubmed ID
Authors

Marcio de Souza Cavalcante, José Camilo Torres-Romero, Marina Duarte Pinto Lobo, Frederico Bruno Mendes Batista Moreno, Leonardo Primo Bezerra, Diego Silva Lima, Jesamar Correia Matos, Renato de Azevedo Moreira, Ana Cristina de Oliveira Monteiro-Moreira

Abstract

Acute lymphoblastic leukemia is the most common malignant cancer in childhood. The signs and symptoms of childhood cancer are difficult to recognize, as it is not the first diagnosis to be considered for nonspecific complaints, leading to potential uncertainty in diagnosis. The aim of this study was to perform proteomic analysis of serum from pediatric patients with B-cell acute lymphoblastic leukemia (B-ALL) to identify candidate biomarker proteins, for use in early diagnosis and evaluation of treatment. Serum samples were obtained from ten patients at the time of diagnosis (B-ALL group) and after induction therapy (AIT group). Sera from healthy children were used as controls (Control group). The samples were subjected to immunodepletion, affinity chromatography with α-d-galactose-binding lectin (from Artocarpus incisa seeds) immobilized on a Sepharose(TM) 4B gel, concentration, and digestion for subsequent analysis with nano-UPLC tandem nano-ESI-MS(E). The program Expression (E) was used to quantify differences in protein expression between groups. A total of 96 proteins were identified. Leucine-rich alpha-2-glycoprotein 1 (LRG1), Clusterin (CLU), thrombin (F2), heparin cofactor II (SERPIND1), alpha-2-macroglobulin (A2M), alpha-2-antiplasmin (SERPINF2), Alpha-1 antitrypsin (SERPINA1), Complement factor B (CFB) and Complement C3 (C3) were identified as candidate biomarkers for early diagnosis of B-ALL, as they were upregulated in the B-ALL group relative to the control and AIT groups. Expression levels of the candidate biomarkers did not differ significantly between the AIT and control groups, providing further evidence that the candidate biomarkers are present only in the disease state, as all patients achieved complete remission after treatment. A panel of protein biomarker candidates has been developed for pre-diagnosis of B-ALL and also provided information that would indicate a favorable response to treatment after induction therapy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 16%
Student > Ph. D. Student 8 14%
Student > Bachelor 6 11%
Student > Doctoral Student 5 9%
Other 5 9%
Other 13 23%
Unknown 10 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 27%
Agricultural and Biological Sciences 12 21%
Unspecified 3 5%
Medicine and Dentistry 3 5%
Philosophy 1 2%
Other 7 13%
Unknown 15 27%
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 30 January 2016.
All research outputs
#18,437,241
of 22,842,950 outputs
Outputs from Biomarker Research
#218
of 314 outputs
Outputs of similar age
#287,100
of 396,850 outputs
Outputs of similar age from Biomarker Research
#4
of 6 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 314 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 20th percentile – i.e., 20% 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 396,850 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.