Evidence map›Paper›PMID 17391314›Full record

ArticleCancer science2007

Protein expression associated with early intrahepatic recurrence of hepatocellular carcinoma after curative surgery.

Hideki Yokoo, Tadashi Kondo, Tetsuya Okano, Kazuaki Nakanishi, Michiie Sakamoto, Tomoo Kosuge, Satoru Todo, Setsuo Hirohashi

Abstract read
In one paragraph

Article in Cancer science, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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  3. Article
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  5. Review
  6. 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.

Hideki YokooProteome Bioinformatics Project, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku Tokyo 104-0045, Japan.
Tadashi Kondo
Tetsuya Okano
Kazuaki Nakanishi
Michiie Sakamoto
Tomoo Kosuge
Satoru Todo
Setsuo Hirohashi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The poor prognosis of patients with hepatocellular carcinoma (HCC) is attributed to intrahepatic recurrence. To understand the molecular background of early intrahepatic recurrence, we conducted a global protein expression study. We compared the protein expression profiles of the primary HCC tissues of 12 patients who showed intrahepatic recurrence within 6 months post surgery with those of 15 patients who had no recurrence 2 years post surgery. Two-dimensional difference gel electrophoresis identified 23 protein spots, the intensity of which was highly associated with early intrahepatic recurrence. To validate the prediction performance of the identified proteins, we examined additional HCC tissues from 13 HCC patients; six with early intrahepatic recurrence and seven without recurrence. We found that all but one of the 13 patients were grouped according to their recurrence status based on the intensity of the 23 protein spots. Mass spectrometry identified 23 proteins corresponding to the spots. Although 13 of 23 have been previously reported to be correlated with HCC, their association with early intrahepatic recurrence had not been established. The identified proteins are involved in signal transduction pathways, glucose metabolism, cytoskeletal structure, cell adhesion, or function as antioxidants and chaperones. The identified proteins may be candidates for prognostic markers and contribute to the improvement of existing therapeutic strategies.

Indexed as

AgedAmino Acid SequenceCarcinoma, HepatocellularCluster AnalysisElectrophoresis, Gel, Two-DimensionalFemaleHumansLiverLiver NeoplasmsMaleMass SpectrometryMiddle AgedMolecular Sequence DataNeoplasm Recurrence, LocalProteinsTime FactorsProteins

Identifiers

PMID17391314
PMCPMC11159521

What OpenQuestion holds

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Registered trials

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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.