Evidence map›Paper›PMID 25317080›Full record

ArticleProteome science2014

Serum peptidome based biomarkers searching for monitoring minimal residual disease in adult acute lymphocytic leukemia.

Ju Bai, Aili He, Chen Huang, Juan Yang, Wanggang Zhang, Jianli Wang, Yun Yang, Pengyu Zhang, Yang Zhang, Fuling Zhou

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Proteome science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
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

12 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Ju BaiDepartment of Hematology, Second Affiliated Hospital, Medical School of Xi'an Jiaotong University, Xi'an, 710004 Shaanxi Province China.
Aili HeDepartment of Hematology, Second Affiliated Hospital, Medical School of Xi'an Jiaotong University, Xi'an, 710004 Shaanxi Province China.
Chen HuangDepartment of Genetics and Molecular Biology, Medical school of Xi'an Jiaotong University/Key Laboratory of Environment and Disease-Related Gene, Ministry of Education, Xi'an, 710061 Shaanxi China.
Juan YangDepartment of Genetics and Molecular Biology, Medical school of Xi'an Jiaotong University/Key Laboratory of Environment and Disease-Related Gene, Ministry of Education, Xi'an, 710061 Shaanxi China.
Wanggang ZhangDepartment of Hematology, Second Affiliated Hospital, Medical School of Xi'an Jiaotong University, Xi'an, 710004 Shaanxi Province China.
Jianli WangDepartment of Hematology, Second Affiliated Hospital, Medical School of Xi'an Jiaotong University, Xi'an, 710004 Shaanxi Province China.
Yun YangDepartment of Hematology, Second Affiliated Hospital, Medical School of Xi'an Jiaotong University, Xi'an, 710004 Shaanxi Province China.
Pengyu ZhangDepartment of Hematology, Second Affiliated Hospital, Medical School of Xi'an Jiaotong University, Xi'an, 710004 Shaanxi Province China.
Yang ZhangDepartment of Hematology, Second Affiliated Hospital, Medical School of Xi'an Jiaotong University, Xi'an, 710004 Shaanxi Province China.
Fuling ZhouDepartment of Hematology, Second Affiliated Hospital, Medical School of Xi'an Jiaotong University, Xi'an, 710004 Shaanxi Province China.
Second Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe persistence of minimal residual disease (MRD) during therapy is the strongest adverse prognostic factor in acute lymphocytic leukemia (ALL). This study was to identify serum candidate peptides for monitoring MRD in adult ALL.

resultsA total of 33 peptides in the molecular weight range of 1000-10000 Da were detected using ClinProt system and statistically different between adult patients with ALL and healthy controls. Quick classifier (QC) algorithm was used to obtain a diagnostic model consisting of five peptides that could discriminate patients with ALL from controls with a high sensitivity (100%) and specificity (96.67%). The peptides in the QC model were identified as fibrinogen alpha chain (FGA), glutathione S-transferase P1 (GSTP1), isoform 1 of fibrinogen alpha chain precursor, platelet factor 4 (PF4) by high pressure/performance liquid chromatography mass spectrometry/mass spectrometry. Relative intensities of the five peptides were compared among ALL different groups for the potential importance of MRD evaluation in ALL. The peptides with increased relative intensities in newly diagnosed (ND) ALL patients were found to be decreased in their relative intensities after complete remission (CR) of adult ALL. When ALL patients were refractory & relapsed (RR), relative intensities of the peptides were elevated again. Peptides with decreased relative intensities in ND and RR ALL patients were found to be increased in their relative intensities when ALL patients achieved CR. The findings were validated by ELISA and western blot. Further linear regression analyses were performed to eliminate the influence of platelet and white blood cell counts on serum protein contents and indicated that there were no correlations between the contents of all four proteins (PF4, connective tissue active peptide III, FGA and GSTP1) and white blood cell or platelet counts in ALL different groups and healthy control.

conclusionsWe speculate the five peptides, FGA, isoform 1 of fibrinogen alpha chain precursor, GSTP1, PF4 and connective tissue active peptide III would be potential biomarkers for forecasting relapse, monitoring MRD and evaluating therapeutic response in adult ALL.

Indexed as

Adult acute lymphocytic leukemiaBiomarkerMinimal residual diseaseSerum peptidome

Identifiers

PMID25317080
PMCPMC4195909
OpenAlexW2127979139

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Registered trials

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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.