Evidence map›Paper›PMID 29268706›Full record

ArticleBMC cancer2017

N-glycosylation of serum proteins for the assessment of patients with IgD multiple myeloma.

Jie Chen, Meng Fang, Xiaoling Chen, Changhong Yi, Jun Ji, Cheng Cheng, Mengmeng Wang, Xing Gu, Quansheng Sun, Chunfang Gao

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. State-of-the-Art Glycomics Technologies in Glycobiotechnology.Advances in biochemical engineering/biotechnology · 2021
    Article
  10. Review
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

10 authors at 3 institutions in 1 country.

Jie ChenDepartment of Laboratory Medicine, Shanghai Jingan District Zhabei Central Hospital, 619 Zhonghuaxin Road, Shanghai, China.
Meng FangDepartment of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China.
Xiaoling ChenDepartment of Hematology, Shanghai Jingan District Zhabei Central Hospital, 619 Zhonghuaxin Road, Shanghai, China.
Changhong YiDepartment of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China.
Jun JiDepartment of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China.
Cheng ChengDepartment of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China.
Mengmeng WangDepartment of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China.
Xing GuDepartment of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China.
Quansheng SunDepartment of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China.
Chunfang GaoDepartment of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, 225 Changhai Road, Shanghai, China. gaocf1115@163.com.
Second Military Medical University · CNEastern Hepatobiliary Surgery Hospital · CNShanghai Zhabei District Shibei Hospital · CN

Funding

the General Program of Shanghai Health and Family Planning Commission No 201540089the Natural Science Foundation of China No. 81101639; 81271925; 81301877
6 · The paper itself

Abstract

backgroundBecause glycosylation is one of the most common post-translational modifications of proteins and because changes in glycosylation have been shown to have a significant correlation with the development of many cancer types, we investigated the serum N-glycome used to diagnose, stage and evaluate the pathological outcomes in IgD multiple myeloma.

methodsSerum samples were available for 20 patients with IgD multiple myeloma, 41 patients with light chain multiple myeloma and 42 healthy control subjects. Serum N-glycans were released and analysed using DNA sequencer-assisted fluorophore-assisted capillary electrophoresis.

resultsCharacteristic changes were revealed in the serum N-glycome of IgD myeloma. In particular, three N-glycans (NG1(6)A2F, Peak3; NG1(3)A2F, Peak4; NA2FB, Peak7) showed increased clinical value. The best area under the ROC curve of NG1(6)A2F to diagnose IgD myeloma was 0.981, with a 95.0% sensitivity and 95.2% specificity, and that of NG1(3)A2F was 0.936, with a 95.0% sensitivity and 78.6% specificity. The best area under the ROC curve of NA2FB/NG1(3)A2F to differentially diagnose IgD myeloma versus light chain myeloma was 0.744, with a 95.3% sensitivity and 50.0% specificity. The level of NG1(3)A2F was correlated with the international staging system, while the higher abundance of NA2FB presented in IgD myeloma was predictive of a shorter progression-free survival.

conclusionsThe advent of serum N-glycan signatures may play a role in the diagnosis, staging and prognosis of IgD myeloma and will serve as the foundation for a precision medicine approach to this rare subtype of multiple myeloma.

Indexed as

Biomarkers, TumorBlood ProteinsCase-Control StudiesFemaleFollow-Up StudiesGlycosylationHumansImmunoglobulin DMaleMiddle AgedMultiple MyelomaPolysaccharidesPrognosisProtein Processing, Post-TranslationalSurvival RateBiomarkers, TumorBlood ProteinsImmunoglobulin DPolysaccharidesBiomarkerDiagnosisGlycosylationIgD multiple myelomaN-glycan profilingPrognosis

Identifiers

PMID29268706
PMCPMC5740902
OpenAlexW2778367390

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.