Evidence map›Paper›PMID 28409560›Full record

ArticleCancer gene therapy2017

Identification of differentially expressed genes and their upstream regulators in colorectal cancer.

H Y Liu, C J Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Cancer gene therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

H Y LiuDepartment of Oncology, Linyi People' Hospital, Linyi, China.
C J ZhangDepartment of Oncology, Linyi People' Hospital, Linyi, China.
Linyi People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify the differentially expressed genes (DEGs) and their transcription factors (TFs) in colorectal cancer (CRC). We performed an integrated analysis of microarray studies. Functional annotation and CRC-specific transcriptional regulatory network construction were performed. Expression of selected DEGs and TFs was verified with The Cancer Genome Atlas (TCGA) data sets and qRT-PCR. SurvMicro was used to analyze the correlation between the overall survival time of CRC patients and the expression of DEGs and TFs. Seven data sets were obtained and 2014 DEGs in CRC were identified. Pathways in cancer and fatty acid metabolism were significantly enriched pathways of upregulated and downregulated DEGs, respectively. Expression of five DEGs (RERGL, ESM1, CA1, ANGPTL7 and TMEFF2) and their five TFs (ZNF354C, ARID3A, NFIC, BRCA1 and ZEB1) was verified by TCGA data sets and qRT-PCR. Their expression in TCGA data sets was same as that in our integrated analysis. Only the expression of EMS1, NFIC, BRCA1 and ZEB1 was inconsistent with integrated analysis and TCGA data sets. Expression of RERGL and BRCA1 was significantly correlated with the overall survival time of CRC patients. These five DEGs may have roles in CRC regulated by their five upstream TFs, which may make a contribution in uncovering the mechanism and providing new strategy of diagnosis and therapies for CRC.

Indexed as

AdultColorectal NeoplasmsDatabases, GeneticFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMiddle AgedNeoplasm ProteinsNeoplasm Proteins

Identifiers

PMID28409560
OpenAlexW2605543724

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.