Evidence map›Paper›PMID 12824885›Full record

ArticleCancer science2003

The prognosis in spindle-cell sarcoma depends on the expression of cyclin-dependent kinase inhibitor p27(Kip1) and cyclin E.

Yoshinari Goto, Shigeto Kawauchi, Koichiro Ihara, Kenzo Ikemoto, Ritsuko Ohi, Shinya Kawai, Kohsuke Sasaki

Open access · greenAbstract read
In one paragraph

Article in Cancer science, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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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

7 authors at 1 institution in 1 country.

Yoshinari GotoDepartment of Pathology and Orthopedic Surgery, Yamaguchi University School of Medicine, Ube, Yamaguchi 755-8505, Japan. goto123@hyper.ocn.ne.jp
Shigeto Kawauchi
Koichiro Ihara
Kenzo Ikemoto
Ritsuko Ohi
Shinya Kawai
Kohsuke Sasaki
Yamaguchi University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to examine the prognostic significance of p27(Kip1) and cyclin E expression in patients with spindle-cell soft tissue sarcomas. In 46 cases of spindle-cell sarcoma including 17 pre-operative biopsy materials, the expression of p27(Kip1) and cyclin E was immunohistochemically examined. The expression of p27(Kip1) decreased in the nuclei of metastatic primary tumor cells (stage IV), whereas the expression of cyclin E increased in those lesions. On univariate analysis, when the expression of p27(Kip1) and cyclin E was analyzed together, patients with spindle-cell sarcoma exhibiting low expression of p27(Kip1) and high expression of cyclin E showed lower distant-metastasis-free survival (DMFS) and overall survival (OS) than those with other combinations of the two parameters (both P < 0.0001). Multivariate analysis revealed that patients with low p27(Kip1) and high cyclin E expression also showed a decrease in DMFS (P = 0.0007, relative risk = 21.3) and OS (P = 0.005, relative risk = 20.8). These results suggest that the combination analysis of p27(Kip1) and cyclin E expression even in biopsy specimens allows the prediction of the clinical behavior of spindle-cell sarcoma.

Indexed as

Cell Cycle ProteinsCyclin-Dependent Kinase Inhibitor p27Cyclin EFemaleHumansImmunoenzyme TechniquesMaleMiddle AgedNeoplasm StagingPrognosisSarcomaSoft Tissue NeoplasmsSurvival RateTumor Suppressor ProteinsCell Cycle ProteinsCyclin-Dependent Kinase Inhibitor p27Cyclin ETumor Suppressor Proteins

Identifiers

PMID12824885
PMCPMC11160309
OpenAlexW2090590185

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.