Evidence map›Paper›PMID 26781873›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Gastric cardia adenocarcinoma microRNA profiling in Chinese patients.

Shegan Gao, Fuyou Zhou, Chen Zhao, Zhikun Ma, Ruinuo Jia, Shuo Liang, Mengxi Zhang, Xiaojuan Zhu, Pengfei Zhang, Lu Wang and 5 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.4field-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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  9. Helicobacter pylori-induced miR-135b-5p promotes cisplatin resistance in gastric cancer.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
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  17. Identification of miRNAs as non-invasive biomarkers for early diagnosis of lung cancers.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
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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

15 authors at 3 institutions in 1 country.

Shegan GaoHenan Key Laboratory of Cancer Epigenetic; Cancer Institute, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China, 471003, Luoyang, 471003, China.
Fuyou ZhouDepartment of Oncology, Anyang People's Hospital, Anyang, 471500, China.
Chen ZhaoFudan-Zhangjiang Center for Clinical Genomics, Zuchongzhi Road 899, Shanghai, 201203, China.
Zhikun MaHenan Key Laboratory of Cancer Epigenetic; Cancer Institute, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China, 471003, Luoyang, 471003, China.
Ruinuo JiaHenan Key Laboratory of Cancer Epigenetic; Cancer Institute, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China, 471003, Luoyang, 471003, China.
Shuo LiangHenan Key Laboratory of Cancer Epigenetic; Cancer Institute, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China, 471003, Luoyang, 471003, China.
Mengxi ZhangHenan Key Laboratory of Cancer Epigenetic; Cancer Institute, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China, 471003, Luoyang, 471003, China.
Xiaojuan ZhuHenan Key Laboratory of Cancer Epigenetic; Cancer Institute, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China, 471003, Luoyang, 471003, China.
Pengfei ZhangHenan Key Laboratory of Cancer Epigenetic; Cancer Institute, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China, 471003, Luoyang, 471003, China.
Lu WangZhangjiang Center for Translational Medicine, Zuchongzhi Road 899, Shanghai, 201203, China.
Feng SuZhangjiang Center for Translational Medicine, Zuchongzhi Road 899, Shanghai, 201203, China.
Jiangman ZhaoZhangjiang Center for Translational Medicine, Zuchongzhi Road 899, Shanghai, 201203, China.
Gang LiuHenan Key Laboratory of Cancer Epigenetic; Cancer Institute, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China, 471003, Luoyang, 471003, China.
Bo PengZhangjiang Center for Translational Medicine, Zuchongzhi Road 899, Shanghai, 201203, China. bpeng@biotecan.com.
Xiaoshan FengHenan Key Laboratory of Cancer Epigenetic; Cancer Institute, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China, 471003, Luoyang, 471003, China. samfeng137@hotmail.com.
First Affiliated Hospital of Henan University of Science and Technology · CNHenan University of Science and Technology · CNThe Fifth People's Hospital of Anyang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cardia adenocarcinoma (GCA), which occurs at the gastroesophageal boundary, is one of the most malignant types of cancer. Over the past 30 years, the incidence of GCA has increased by approximately sevenfold, which has a more substantial increase than that of many other malignancies. However, as previous studies mainly focus on non-cardia gastric cancer, until now, the mechanisms behind GCA remain largely unknown. MicroRNAs (miRNAs) have been shown to play pivotal roles in carcinogenesis. To gain insight into the molecular mechanisms regulated by miRNAs in GCA development, we investigated miRNA expression profiles using 81 pairs of primary GCAs and corresponding non-tumorigenic tissues. First, 21 pairs of samples were used for microarray analysis, and then another 60 pairs of samples were used for further analysis. Our results showed that 464 miRNAs (237 upregulated, 227 downregulated, false discovery rate FDR <0.05) were differently expressed between GCA and non-tumor tissues. Pearson test and pathway analysis revealed that these dysregulated miRNA correlated coding RNAs may have effects on several cancer-related pathways. Four miRNAs (miR-1244, miR-135b-5p, miR-3196, and miR-628-3p) were found to be associated with GCA differentiation. One miRNA, miR-196a-5p, was found to be associated with age of GCA onset. Further, survival analysis showed that the expression level of miR-135b-5p was associated with GCA survival. Taken together, our study first provided the genome-wide expression profiles of miRNA in GCA and will be good help for further functional studies.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaBiomarkers, TumorCase-Control StudiesFemaleFollow-Up StudiesGene Expression ProfilingHumansLymphatic MetastasisMaleMicroRNAsMiddle AgedNeoplasm StagingOligonucleotide Array Sequence AnalysisPrognosisReal-Time Polymerase Chain ReactionBiomarkers, TumorMicroRNAsRNA, MessengerDifferentiationGastric cardia adenocarcinomaMicroarraymicroRNAmiR135b-5p

Identifiers

PMID26781873
OpenAlexW2279226944

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.