Evidence map›Paper›PMID 17663522›Full record

ArticleWorld journal of gastroenterology2007

Intratumoral sampling variability in hepatocellular carcinoma: a case report.

Giancarlo Senes, Daniela Fanni, Alessandro Cois, Alessandro Uccheddu, Gavino Faa

Abstract readCase Reports
In one paragraph

Article in World journal of gastroenterology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cytokeratin 20-positive hepatocellular carcinoma.European journal of histochemistry : EJH · 2009
    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

5 authors at 1 institution in 1 country.

Giancarlo SenesDipartimento di Citomorfologia, Divisione di Anatomia Patologica, University of Cagliari, Ospedale San Giovanni di Dio, Via Ospedale n. 60, 09124 Cagliari, Italy. gsenes@unica.it
Daniela Fanni
Alessandro Cois
Alessandro Uccheddu
Gavino Faa
University of Cagliari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The differential diagnosis between hepatocellular carcinoma (HCC) and regenerative liver nodules and other primary liver tumors may be very difficult, particularly when performed on liver biopsies. Difficulties in histological typing may be often minimized by immunohistochemistry. Among the numerous markers proposed, CK18, Hep Par1 and glypican 3 (GPC3) are considered the most useful in HCC diagnosis. Here we report a case of HCC in a 72-year-old male with HBV-related chronic liver disease, characterized by a marked morphological and immunohistochemical intratumoral variability. In this case, tumor grading ranged from areas extremely well differentiated, similar to regenerative nodule, to undifferentiated regions, with large atypical multinucleated cells. While almost all sub nodules were immunostained by Hep Par 1, immunoreactivity for glypican 3 and for Ck18 was patchy, with negative tumor region adjacent to the highly immunoreactive areas. Our case stresses the relevance of sampling variability in the diagnosis of HCC, and indicates that caution should be taken in grading an HCC and in the interpretation of immunohistochemical stains when only small core biopsies from liver nodules are available.

Indexed as

Liver RegenerationAgedBiomarkers, TumorBiopsyBiopsy, NeedleCarcinoma, HepatocellularChronic DiseaseDiagnosis, DifferentialFocal Nodular HyperplasiaHepatitis BHumansImmunohistochemistryLiver NeoplasmsMaleBiomarkers, Tumor

Identifiers

PMID17663522
PMCPMC4171180
OpenAlexW2111582338

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.