Evidence map›Paper›PMID 27847095›Full record

ReviewThe Kaohsiung journal of medical sciences2016

Proteomic analysis and translational perspective of hepatocellular carcinoma: Identification of diagnostic protein biomarkers by an onco-proteogenomics approach.

Shyh-Horng Chiou, King-Teh Lee

Abstract readReview
In one paragraph

Review in The Kaohsiung journal of medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Molecular and genetic markers in hepatocellular carcinoma:World journal of gastrointestinal pathophysiology · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. 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

2 authors.

Shyh-Horng ChiouQuantitative Proteomics Center and Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan; Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan.
King-Teh LeeDivision of Hepatobiliary Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan. Electronic address: ktlee@kmu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) has been ranked as the third leading cause of cancer-related mortality worldwide. Typically, patients are already in advanced stages of liver cirrhosis at the time of HCC diagnosis. Because HCC is often detected at a late stage and is highly aggressive, noninvasive biomarkers are urgently needed for early diagnosis. Recent advances in gene-expression profiling technologies have enabled molecular classification of HCC into defined subclasses that provide a firm basis for further study of potential mechanisms and biomarkers underlying the development of HCC. This study applied an integrated onco-proteogenomics approach to identify and characterize HCC biomarkers. Specifically, this study integrated proteomic, genomic, and transcriptomic methods to obtain protein expression profiles of urine and tissue samples from HCC patients and from normal controls. Two mediators of inflammation were positively identified: S100A9 and granulin protein markers, which belong to the cytoplasmic alarmin family of the host innate immune system. These HCC-associated cancer-specific biomarkers may have contributing roles not only in the dysregulated processes associated with various inflammatory and autoimmune conditions, but also in tumorigenesis and cancer metastasis.

Indexed as

Translational Research, BiomedicalBiomarkers, TumorCarcinoma, HepatocellularHumansLiver NeoplasmsMass SpectrometryProteogenomicsBiomarkers, TumorHepatocellular carcinomaOnco-proteogenomicsProteogenomicsUrine proteomics

Identifiers

PMID27847095
PMCPMC11916734

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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.