Evidence map›Paper›PMID 27444172›Full record

ArticleVirchows Archiv : an international journal of pathology2016

Claudins-4 and -7 might be valuable markers to distinguish hepatocellular carcinoma from cholangiocarcinoma.

Yusuke Ono, Yutaro Hiratsuka, Masaki Murata, Akira Takasawa, Rieko Fukuda, Masanori Nojima, Satoshi Tanaka, Makoto Osanai, Koichi Hirata, Norimasa Sawada

Abstract read
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In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Biomarkers for the Diagnosis of Cholangiocarcinoma: A Systematic Review.The American journal of tropical medicine and hygiene · 2018
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Human Claudin-7Frontiers in molecular biosciences · 2022
    Article
  7. Review
  8. Claudins as biomarkers of differential diagnosis and prognosis of tumors.Journal of cancer research and clinical oncology · 2021
    Review
  9. Article
  10. Review
  11. Article
  12. 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

10 authors at 2 institutions in 1 country.

Yusuke OnoDepartment of Pathology, Sapporo Medical University School of Medicine, S1. W17, Sapporo, 060-8556, Japan.
Yutaro HiratsukaDepartment of Pathology, Sapporo Medical University School of Medicine, S1. W17, Sapporo, 060-8556, Japan.
Masaki MurataDepartment of Pathology, Sapporo Medical University School of Medicine, S1. W17, Sapporo, 060-8556, Japan. mmurata@sapmed.ac.jp.
Akira TakasawaDepartment of Pathology, Sapporo Medical University School of Medicine, S1. W17, Sapporo, 060-8556, Japan.
Rieko FukudaDepartment of Pathology, Sapporo Medical University School of Medicine, S1. W17, Sapporo, 060-8556, Japan.
Masanori NojimaDivision of Advanced Medicine Promotion, The Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Satoshi TanakaDepartment of Pathology, Sapporo Medical University School of Medicine, S1. W17, Sapporo, 060-8556, Japan.
Makoto OsanaiDepartment of Pathology, Sapporo Medical University School of Medicine, S1. W17, Sapporo, 060-8556, Japan.
Koichi HirataDepartment of Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan.
Norimasa SawadaDepartment of Pathology, Sapporo Medical University School of Medicine, S1. W17, Sapporo, 060-8556, Japan.
Sapporo Medical University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The claudin family members are the functional components of tight junctions. Expression and localization of claudins vary among organs and tumor types. In this study, we examined expression and localization of tight junction proteins (TJP) in human liver tumors, to estimate their usefulness as differential diagnostic markers. The materials used for immunohistochemical analysis were 47 liver tumor specimens including 29 cases of hepatocellular carcinoma (HCC), 15 cases of cholangiocarcinoma (CC), 3 cases of combined HCC and CC (CHC), and 3 cases of cholangiolocellular carcinoma (CoCC). Samples were examined using semiquantitative and statistical analysis of immunoreactivity. In HCC, claudin-1, occludin, tricellulin, and JAM-A were expressed on the cell membrane as well as in hepatocytes. In CC, claudins-1, -4, and -7, tricellulin, and JAM-A were expressed on the cell membrane and occludin was predominantly expressed in the apicalmost areas of the cell membrane. Significant differences in the immunohistochemical scores of claudin-4 and claudin-7 were observed when comparing HCC and CC. CHC was positive for all of the TJPs examined in this study. The expression pattern of CoCC was found to be similar to that of CC. There were differences in the distribution of intensity scores of claudins-4 and -7 and occludin between CoCC and HCC. In addition, CHC was positive for Glypican-3 and CK-19. CoCC was positive for only CK-19. The results suggest that claudins-4 and -7 might be valuable markers for distinguishing HCC and CC and that CoCC might arise from hepatic ductal cells.

Indexed as

AgedAged, 80 and overBile Duct NeoplasmsBiomarkers, TumorCarcinoma, HepatocellularCholangiocarcinomaClaudin-4ClaudinsFemaleGlypicansHumansLiver NeoplasmsMaleMiddle AgedBiomarkers, TumorClaudin-4ClaudinsCLDN4 protein, humanCLDN7 protein, humanGlypicansCarcinomaLiverTight junctionTumor markers

Identifiers

PMID27444172
OpenAlexW2498053714

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.