Evidence map›Paper›PMID 24248542›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2014

High fibroblast growth factor 19 (FGF19) expression predicts worse prognosis in invasive ductal carcinoma of breast.

Abdelbaset Buhmeida, Ashraf Dallol, Adnan Merdad, Jaudah Al-Maghrabi, Mamdooh A Gari, Muhammad M Abu-Elmagd, Adeel G Chaudhary, Adel M Abuzenadah, Taoufik Nedjadi, Eramah Ermiah and 2 more

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 34 citations in OpenAlex.

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  16. Frequent methylation of the KLOTHO gene and overexpression of the FGFR4 receptor in invasive ductal carcinoma of the breast.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
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  19. Genome-wide screening and co-expression network analysis identify recurrence-specific biomarkers of esophageal squamous cell carcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
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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

12 authors at 3 institutions in 2 countries.

Abdelbaset BuhmeidaCenter of Excellence in Genomic Medicine Research, King Abdulaziz University, P.O. Box 80216, Jeddah, 21589, Kingdom of Saudi Arabia.
Ashraf Dallol
Adnan Merdad
Jaudah Al-Maghrabi
Mamdooh A Gari
Muhammad M Abu-Elmagd
Adeel G Chaudhary
Adel M Abuzenadah
Taoufik Nedjadi
Eramah Ermiah
Fatima Al-Thubaity
Mohammed H Al-Qahtani
King Abdulaziz University · SAKing Abdulaziz City for Science and Technology · SAMinia University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic diseases like diabetes and obesity are major risk factors for breast cancer. Aberrant expression of metabolic effectors such as fibroblast growth factor 19 (FGF19) could be therefore associated with the disease. The expression of FGF19 was examined in 193 archival breast tumor samples by immunohistochemistry and evaluated semi-quantitatively by determining the staining index and correlating it with clinicopathological parameters using Fisher's exact test. The correlation between FGF19 expression and 5-year disease-specific survival rate was determined using the univariate Kaplan-Meier analysis. The prognostic value of FGF19 expression was evaluated using the multivariate Cox regression analysis. Of the 193 tumors analyzed, 40% were classified with low FGF19 expression, whereas 60% were categorized as tumors with high FGF19 expression. There was a highly significant correlation between high FGF19 expression and patients' age (p = 0.008) as well as 5-year disease-specific survival (p = 0.001). However, FGF19 expression did not show any significant correlations with other clinicopathological parameters, including hormonal status, tumor grade, tumor size, or lymph node status. Univariate Kaplan-Meier log rank analysis showed that patients with high FGF19 expression exhibited a significantly shorter disease-specific 5-year survival (p = 0.007). This effect was exacerbated by lymph node metastasis (p = 0.001), negative estrogen receptor (ER) status (p = 0.002), or old age (p = 0.013). Multivariate analysis showed that high FGF19 expression could be an independent prognostic marker of disease-specific survival in breast cancer patients (p = 0.030). Quantification of FGF19 expression appears to provide valuable prognostic information in breast cancer, particularly in older patients with lymph node metastasis and negative ER status.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastFemaleFibroblast Growth FactorsHumansImmunohistochemistryKaplan-Meier EstimateMiddle AgedNeoplasm InvasivenessPrognosisProportional Hazards ModelsReceptors, EstrogenBiomarkers, TumorFGF19 protein, humanFibroblast Growth FactorsReceptors, Estrogen

Identifiers

PMID24248542
OpenAlexW2043390430

What OpenQuestion holds

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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.