Evidence map›Paper›PMID 30279969›Full record

ArticleOncotarget2018

Meta-analysis of the likelihood of FOXC2 expression in early- and late-stage tumors.

Tsutomu Kume, Tarek Shackour

Abstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Meta-analysis of the prognostic significance of FOXC2 in various tumors.The Journal of international medical research · 2020
    Pooled it
  2. Article
  3. International journal of molecular sciences · 2020
    Article
  4. Article
  5. Review
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

2 authors.

Tsutomu KumeFeinberg Cardiovascular Research Institute, Northwestern University School of Medicine, Chicago 60611, IL, USA.
Tarek ShackourFeinberg Cardiovascular Research Institute, Northwestern University School of Medicine, Chicago 60611, IL, USA.

Funding

Fox Transcription factors in lymphatic vessel developmentR01HL126920 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KUME, TSUTOMU · 2015 to 2018
$1.5M
NHLBI NIH HHS R01 HL126920
6 · The paper itself

Abstract

backgroundAberrations in the expression of the transcription factor forkhead box C2 (FOXC2) have been linked to a number of malignancies. Here, we characterized the relationship between FOXC2 and cancer progression by conducting a meta-analysis of studies that reported the frequency of FOXC2 expression in tumors of different stages (T1, T2, T3, T4).

methodsRelevant articles were retrieved from the Medline database by searching for the terms "FOXC2" and "cancer"; then, the retrieved articles were reviewed individually, and studies that were of multivariate cohort design, evaluated FOXC2 expression via immunohistochemical staining, and assessed the relationship between FOXC2 expression and cancer T-stage were included in our meta-analysis.

resultsOur search terms identified 139 studies, 9 of which met all inclusion criteria. A total of 1433 tumor samples were evaluated in the 9 studies; 596 samples were from early-stage (T1-T2) tumors, and 838 were from late-stage (T3-T4) tumors. FOXC2 was expressed in 46.0% of all samples, in 32.4% of early-stage tumor samples, and in 55.6% of late-stage tumor samples. When calculated relative to early-stage samples, the pooled risk for FOXC2 expression in late-stage samples was 1.367 (95% CI = 1.103-1.695,

conclusionThe results from our meta-analysis of 9 studies indicate that FOXC2 is 36.7% more likely to be expressed in late-stage tumors than in early-stage tumors.

Indexed as

cancerFOXC2T-Stage

Identifiers

PMID30279969
PMCPMC6161797

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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.