Evidence map›Paper›PMID 10574266›Full record

ArticleBritish journal of cancer1999

Both cell proliferation and apoptosis significantly predict shortened disease-free survival in hepatocellular carcinoma.

Y Ito, N Matsuura, M Sakon, T Takeda, K Umeshita, H Nagano, S Nakamori, K Dono, M Tsujimoto, M Nakahara and 2 more

Abstract read
In one paragraph

Article in British journal of cancer, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Eicosanoid regulation of debris-stimulated metastasis.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  7. Debris-stimulated tumor growth: a Pandora's box?Cancer metastasis reviews · 2021
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Hepatic progenitor cells in human liver tumor development.World journal of gastroenterology · 2006
    Review
  17. Article
  18. Article
  19. The prognostic molecular markers in hepatocellular carcinoma.World journal of gastroenterology · 2002
    Review
  20. 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

12 authors.

Y ItoDepartment of Surgery II, Osaka University Medical School, Japan.
N Matsuura
M Sakon
T Takeda
K Umeshita
H Nagano
S Nakamori
K Dono
M Tsujimoto
M Nakahara
K Nakao
M Monden

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we investigated the proliferating cell index by the percentage of Ki-67 expressing cells (Ki-67 LI) and the apoptotic index (AI) by the number of morphologically apoptotic cells per 1000 carcinoma cells in haematoxylin and eosin sections of 76 hepatocellular carcinomas (HCC). Both indices showed excellent correlation with each other (P < 0.0001) and were significantly higher in cases of poor differentiation, of advanced stages, with portal invasion and with intrahepatic metastasis. Furthermore, cases with higher Ki-67 LI or higher AI displayed poor outcomes for disease-free survival (P = 0.0001 and P = 0.0005) by univariate analysis. By multivariate analysis, both indices could be regarded as independent prognostic factors. These results strongly suggest that Ki-67 LI and AI have very similar clinical significance, reflecting the existence of biologically aggressive phenotypes and poor disease-free survival rate in HCC.

Indexed as

ApoptosisAgedCarcinoma, HepatocellularCell DivisionDisease-Free SurvivalFemaleHumansKi-67 AntigenLiver NeoplasmsMaleMiddle AgedPrognosisKi-67 Antigen

Identifiers

PMID10574266
PMCPMC2362905

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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.