Evidence map›Paper›PMID 26823978›Full record

ArticleBiomarker research2016

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

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 read
In one paragraph

Article in Biomarker research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Article
  2. The critical role of LRG1 in pathological fibrosis.Journal of molecular medicine (Berlin, Germany) · 2025
    Review
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  7. Article
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  12. LRG1: an emerging player in disease pathogenesis.Journal of biomedical science · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Clinical Proteomics of Biofluids in Haematological Malignancies.International journal of molecular sciences · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Marcio de Souza CavalcanteNortheast Network of Biotechnology (RENORBIO), State University of Ceará, Fortaleza, Ceará Brazil.
José Camilo Torres-RomeroCenter of Experimental Biology (NUBEX), University of Fortaleza (UNIFOR), Fortaleza, Ceará Brazil ; Department of Biochemistry and Molecular Biology, Federal University of Ceará, Fortaleza, Ceará Brazil.
Marina Duarte Pinto LoboCenter of Experimental Biology (NUBEX), University of Fortaleza (UNIFOR), Fortaleza, Ceará Brazil ; Department of Biochemistry and Molecular Biology, Federal University of Ceará, Fortaleza, Ceará Brazil.
Frederico Bruno Mendes Batista MorenoCenter of Experimental Biology (NUBEX), University of Fortaleza (UNIFOR), Fortaleza, Ceará Brazil.
Leonardo Primo BezerraCenter of Experimental Biology (NUBEX), University of Fortaleza (UNIFOR), Fortaleza, Ceará Brazil.
Diego Silva LimaDevelopment and Technological Innovation in Drug Program, Federal University of Ceará, Fortaleza, Ceará Brazil.
Jesamar Correia MatosReference Center at Children's Cancer Diagnosis and Adolescents Dr. Murilo Martins, Albert Sabin Hospital, Fortaleza, Ceará Brazil.
Renato de Azevedo MoreiraCenter of Experimental Biology (NUBEX), University of Fortaleza (UNIFOR), Fortaleza, Ceará Brazil.
Ana Cristina de Oliveira Monteiro-MoreiraCenter of Experimental Biology (NUBEX), University of Fortaleza (UNIFOR), Fortaleza, Ceará Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute 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.

methodsSerum 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.

resultsA 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.

conclusionA 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.

Indexed as

Acute lymphoblastic leukemiaBiomarkerFrutalinLectinMass spectrometry

Identifiers

PMID26823978
PMCPMC4730630

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.