Evidence map›Paper›PMID 23527097›Full record

ArticlePloS one2013

Caveolin-1 expression level in cancer associated fibroblasts predicts outcome in gastric cancer.

Xianda Zhao, Yuyu He, Jun Gao, Lifang Fan, Zonghuan Li, Guifang Yang, Honglei Chen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

49 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
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  10. What is new in cancer-associated fibroblast biomarkers?Cell communication and signaling : CCS · 2023
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  14. Article
  15. Review
  16. Article
  17. Caveolae as Potential Hijackable Gates in Cell Communication.Frontiers in cell and developmental biology · 2020
    Review
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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 2 institutions in 2 countries.

Xianda ZhaoDepartment of Pathology, School of Basic Medical Science, Wuhan University, Wuhan, P. R. China.
Yuyu He
Jun Gao
Lifang Fan
Zonghuan Li
Guifang Yang
Honglei Chen
Wuhan University · CNRush University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAltered expression of epithelial or stromal caveolin-1 (Cav-1) is observed in various types of human cancers. However, the clinical significance of Cav-1 expression in gastric cancer (GC) remains largely unknown. The present study aims to explore the clinicopathological significance and prognostic value of both tumor cells and cancer associated fibroblasts (CAFs) Cav-1 in GC. METHODS AND

resultsQuantum dots immunofluorescence histochemistry was performed to examine the expression of Cav-1 in 20 cases of gastritis without intestinal metaplasia (IM), 20 cases of gastritis with IM and 286 cases of GC. Positive rates of epithelial Cav-1 in gastritis without IM, gastritis with IM and GC showed a decreasing trend (P = 0.012). Low expression of Cav-1 in CAFs but not in tumor cells was an independent predictor of poor prognosis in GC patients (P = 0.034 and 0.005 respectively in disease free survival and overall survival). Cav-1 level in tumor cells and CAFs showed no significant correlation with classic clinicopathological features.

conclusionsLoss of epithelial Cav-1 may promote malignant progression and low CAFs Cav-1 level herald worse outcome of GC patient, suggesting CAFs Cav-1 may be a candidate therapeutic target and a useful prognostic marker of GC.

Indexed as

ActinsAdultAgedAged, 80 and overBiomarkers, TumorCaveolin 1FemaleFibroblastsHumansMaleMiddle AgedNeoplasm GradingNeoplasm StagingPrognosisProportional Hazards ModelsProtein BindingACTA2 protein, humanActinsBiomarkers, TumorCaveolin 1

Identifiers

PMID23527097
PMCPMC3602462
OpenAlexW2008881762

What OpenQuestion holds

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LicenceCC BY
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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.