Evidence map›Paper›PMID 31137902›Full record

ReviewCancers2019

Deciphering The Potential Role of Hox Genes in Pancreatic Cancer.

Tzu-Lei Kuo, Kuang-Hung Cheng, Li-Tzong Chen, Wen-Chun Hung

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  8. High expression ofCell cycle (Georgetown, Tex.) · 2022
    Article
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  13. 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

4 authors at 4 institutions in 1 country.

Tzu-Lei KuoNational Institute of Cancer Research, National Health Research Institutes, Tainan 704, Taiwan. rayfish@nhri.org.tw.
Kuang-Hung ChengInstitute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung 804, Taiwan. khcheng@faculty.nsysu.edu.tw.
Li-Tzong ChenNational Institute of Cancer Research, National Health Research Institutes, Tainan 704, Taiwan. leochen@nhri.org.tw.
Wen-Chun HungNational Institute of Cancer Research, National Health Research Institutes, Tainan 704, Taiwan. hung1228@ms10.hinet.net.
Kaohsiung Medical University · TWNational Cheng Kung University Hospital · TWNational Health Research Institutes · TWNational Sun Yat-sen University · TW

Funding

Ministry of Health and Welfare CA-107-PP-14 and CA-108-PP-17
6 · The paper itself

Abstract

The Hox gene family plays an important role in organogenesis and animal development. Currently, 39 Hox genes that are clustered in four chromosome regions have been identified in humans. Emerging evidence suggests that Hox genes are involved in the development of the pancreas. However, the expression of Hox genes in pancreatic tumor tissues has been investigated in only a few studies. In addition, whether specific Hox genes can promote or suppress cancer metastasis is not clear. In this article, we first review the recent progress in studies on the role of Hox genes in pancreatic cancer. By comparing the expression profiles of pancreatic cancer cells isolated from genetically engineered mice established in our laboratory with three different proliferative and metastatic abilities, we identified novel Hox genes that exhibited tumor-promoting activity in pancreatic cancer. Finally, a potential oncogenic mechanism of the Hox genes was hypothesized.

Indexed as

genetically engineered mouseHox genespancreas developmentpancreatic cancer

Identifiers

PMID31137902
PMCPMC6562939
OpenAlexW2946012359

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.