Evidence map›Paper›PMID 28378759›Full record

ArticleScientific reports2017

Quantitative proteomics by SWATH-MS reveals sophisticated metabolic reprogramming in hepatocellular carcinoma tissues.

Yanyan Gao, Xinzheng Wang, Zhihong Sang, Zongcheng Li, Feng Liu, Jie Mao, Dan Yan, Yongqiang Zhao, Hongli Wang, Ping Li and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Nitrogen Isotope Effects in Urea Metabolism: From Biochemistry toInternational journal of molecular sciences · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Clinical Proteomics for Solid Organ Tissues.Molecular & cellular proteomics : MCP · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  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

14 authors.

Yanyan GaoNational Center of Biomedical Analysis, Beijing 100850, China.
Xinzheng WangNational Center of Biomedical Analysis, Beijing 100850, China.
Zhihong SangNational Center of Biomedical Analysis, Beijing 100850, China.
Zongcheng LiTranslational Medicine Center of Stem Cells, 307-Ivy Translational Medicine Center, Laboratory of Oncology, Affiliated Hospital, Academy of Military Medical Sciences, Beijing 100071, China.
Feng LiuNational Center of Biomedical Analysis, Beijing 100850, China.
Jie MaoNational Center of Biomedical Analysis, Beijing 100850, China.
Dan YanBeijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
Yongqiang ZhaoNational Center of Biomedical Analysis, Beijing 100850, China.
Hongli WangNational Center of Biomedical Analysis, Beijing 100850, China.
Ping LiNational Center of Biomedical Analysis, Beijing 100850, China.
Xiaomin YingComputational Omics Lab, Center of Computational Biology, Beijing Institute of Basic Medical Sciences, Beijing 100850, China.
Xuemin ZhangNational Center of Biomedical Analysis, Beijing 100850, China.
Kun HeNational Center of Biomedical Analysis, Beijing 100850, China.
Hongxia WangNational Center of Biomedical Analysis, Beijing 100850, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide, and understanding its molecular pathogenesis is pivotal to managing this disease. Sequential window acquisition of all theoretical mass spectra (SWATH-MS) is an optimal proteomic strategy to seek crucial proteins involved in HCC development and progression. In this study, a quantitative proteomic study of tumour and adjacent non-tumour liver tissues was performed using a SWATH-MS strategy. In total, 4,216 proteins were reliably quantified, and 338 were differentially expressed, with 191 proteins up-regulated and 147 down-regulated in HCC tissues compared with adjacent non-tumourous tissues. Functional analysis revealed distinct pathway enrichment of up- and down-regulated proteins. The most significantly down-regulated proteins were involved in metabolic pathways. Notably, our study revealed sophisticated metabolic reprogramming in HCC, including alteration of the pentose phosphate pathway; serine, glycine and sarcosine biosynthesis/metabolism; glycolysis; gluconeogenesis; fatty acid biosynthesis; and fatty acid β-oxidation. Twenty-seven metabolic enzymes, including PCK2, PDH and G6PD, were significantly changed in this study. To our knowledge, this study presents the most complete view of tissue-specific metabolic reprogramming in HCC, identifying hundreds of differentially expressed proteins, which together form a rich resource for novel drug targets or diagnostic biomarker discovery.

Indexed as

AdolescentAdultAgedBiomarkers, TumorBlotting, WesternCarcinoma, HepatocellularFemaleHumansLiver NeoplasmsMaleMass SpectrometryMetabolic Networks and PathwaysMiddle AgedProteomeProteomicsBiomarkers, TumorProteome

Identifiers

PMID28378759
PMCPMC5381110

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.