Evidence map›Paper›PMID 26675302›Full record

ArticleBBA clinical2015

Onco-proteogenomics identifies urinary S100A9 and GRN as potential combinatorial biomarkers for early diagnosis of hepatocellular carcinoma.

Chun-Hao Huang, Chao-Jen Kuo, Shih-Shin Liang, Shu-Wen Chi, Edward Hsi, Chi-Chao Chen, King-Teh Lee, Shyh-Horng Chiou

Open access · hybridAbstract read
In one paragraph

Article in BBA clinical, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
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  8. Review
  9. High S100A9Aging · 2021
    Article
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  13. Article
  14. Article
  15. Progranulin and its biological effects in cancer.Medical oncology (Northwood, London, England) · 2017
    Review
  16. 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

8 authors at 4 institutions in 2 countries.

Chun-Hao HuangQuantitative Proteomics Center and Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan ; Institute of Biological Chemistry, Academia Sinica, Taipei 115, Taiwan.
Chao-Jen KuoQuantitative Proteomics Center and Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Shih-Shin LiangDepartment of Biotechnology, College of Life Science, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Shu-Wen ChiQuantitative Proteomics Center and Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Edward HsiDepartment of Genome Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Chi-Chao ChenPhysiology Biophysics and Systems Biology Program, Weill Graduate School of Medical Sciences, Cornell University, NY 10065, USA.
King-Teh LeeDivision of Hepatobiliary Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Shyh-Horng ChiouQuantitative Proteomics Center and Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan ; Institute of Biological Chemistry, Academia Sinica, Taipei 115, Taiwan ; Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Kaohsiung Medical University · TWCornell University · USInstitute of Biological Chemistry, Academia Sinica · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC), the major type of liver cancer, is among the most lethal cancers owing to its aggressive nature and frequently late detection. Therefore, the possibility to identify early diagnostic markers could be of significant benefit. Urine has especially become one of the most attractive body fluids in biomarker discovery as it can be obtained non-invasively in large quantities and is stable as compared with other body fluids. To identify potential protein biomarker for early diagnosis of HCC, we explored protein expression profiles in urine from HCC patients and normal controls (n = 44) by shotgun proteomics using nano-liquid chromatography coupled tandem mass spectrometry (nanoLC-MS/MS) and stable isotope dimethyl labeling. We have systematically mapped 91 proteins with differential expressions (p < 0.05), which included 8 down-regulated microtubule proteins and 83 up-regulated proteins involved in signal and inflammation response. Further integrated proteogenomic approach composed of proteomic, genomic and transcriptomic analysis identified that S100A9 and GRN were co-amplified (p < 0.001) and co-expressed (p < 0.01) in HCC tumors and urine samples. In addition, the amplifications of S100A9 or GRN were found to be associated with poor survival in HCC patients, and their co-amplification was also prognosed worse overall survival than individual ones. Our results suggest that urinary S100A9 and GRN as potential combinatorial biomarkers can be applied to early diagnosis of hepatocellular carcinoma and highlight the utility of onco-proteogenomics for identifying protein markers that can be applied to disease-oriented translational medicine.

Indexed as

D/H, deuterium/hydrogen labelingGranulinGRN, granulinsHCC, hepatocellular carcinomaHepatocellular carcinomaHILIC, hydrophilic interaction chromatographynanoLC–MS/MS, nano-liquid chromatography coupled tandem mass spectrometryProtein S100-A9ProteogenomicsQuantitative proteomicsS100A9, protein S100-A9Urinary biomarkers

Identifiers

PMID26675302
PMCPMC4669941
OpenAlexW1964138118

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.