Evidence map›Paper›PMID 31297734›Full record

ArticleGlycoconjugate journal2019

Gangliosides profiling in serum of breast cancer patient: GM3 as a potential diagnostic biomarker.

Qinying Li, Mei Sun, Mingsheng Yu, Qianyun Fu, Hao Jiang, Guangli Yu, Guoyun Li

Abstract read
PubMed Publisher
In one paragraph

Article in Glycoconjugate journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

25 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  6. Article
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  8. Review
  9. SerumACS omega · 2024
    Article
  10. [Applications of chromatography in glycomics].Se pu = Chinese journal of chromatography · 2024
    Review
  11. Review
  12. Review
  13. Review
  14. Article
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  16. Article
  17. Review
  18. Article
  19. Review
  20. ST8SIA1 inhibition sensitizes triple negative breast cancer to chemotherapy via suppressing Wnt/β-catenin and FAK/Akt/mTOR.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    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

7 authors at 4 institutions in 1 country.

Qinying LiKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Shandong Provincial Key Laboratory of Glycoscience and Glycotechnology, Ocean University of China, Qingdao, 266003, China.
Mei SunQingdao Municipal Hospital, The Affiliated Qingdao Municipal Hospital, Qingdao University Medical College, Qingdao, 266071, China.
Mingsheng YuQingdao Municipal Hospital, The Affiliated Qingdao Municipal Hospital, Qingdao University Medical College, Qingdao, 266071, China.
Qianyun FuKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Shandong Provincial Key Laboratory of Glycoscience and Glycotechnology, Ocean University of China, Qingdao, 266003, China.
Hao JiangKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Shandong Provincial Key Laboratory of Glycoscience and Glycotechnology, Ocean University of China, Qingdao, 266003, China.
Guangli YuKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Shandong Provincial Key Laboratory of Glycoscience and Glycotechnology, Ocean University of China, Qingdao, 266003, China.
Guoyun LiKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Shandong Provincial Key Laboratory of Glycoscience and Glycotechnology, Ocean University of China, Qingdao, 266003, China. liguoyun@ouc.edu.cn.
Ocean University of China · CNQingdao National Laboratory for Marine Science and Technology · CNQingdao Municipal Hospital · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gangliosides altered during the pathological conditions and particularly in cancers. Here, we aimed to profile the gangliosides in breast cancer serum and propose potential biomarkers. LC-FTMS method was first used to identify all the ganglioside species in serum, then LC-MS/MS-MRM method was employed to quantitate the levels of gangliosides in serum from healthy volunteers and patients with benign breast tumor or breast cancer. 49 ganglioside species were determined, including GM1, GM2, GM3, GD1, GD3 and GT1 species. Compared to healthy volunteers, the levels of GM1, GM2, GM3, GD1 and GD3 displayed a rising trend in breast cancer patients. In particular, as the major glycosphingolipid component, GM3 showed excellent diagnostic accuracy in cancer serum (AUC > 0.9). PCA profile of the GM3 species showed clear distinction between normal and cancer serum. What's more, ROC curve proved great diagnostic accuracy of GM3 between cancer and benign serum. In addition, GM3 was discovered as a diagnostic marker to differentiate luminal B subtype from other subtypes. Furthermore, a positive correlation between GM3 and Ki-67 status of patients was identified. In conclusion, our results introduced the alteration patterns of serum gangliosides in breast cancer and suggested serum GM3 as a potential diagnostic biomarker in breast cancer diagnosis and luminal B subtype distinction.

Indexed as

AdultAgedArea Under CurveBiomarkers, TumorBreast NeoplasmsCase-Control StudiesChromatography, LiquidDiagnosis, DifferentialFemaleGangliosidesG(M3) GangliosideHumansKi-67 AntigenMiddle AgedNeoplasmsPrincipal Component AnalysisBiomarkers, TumorGangliosidesG(M3) GangliosideKi-67 AntigenBiomarkerBreast cancerGangliosidesGM3Serum

Identifiers

PMID31297734
OpenAlexW2956925098

What OpenQuestion holds

Textmetadata
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.