Evidence map›Paper›PMID 29312578›Full record

ArticleOncotarget2017

Integrated analysis of chromosome copy number variation and gene expression in cervical carcinoma.

Deng Yan, Song Yi, Wang Chi Chiu, Liu Gui Qin, Wong Hoi Kin, Chung Tony Kwok Hung, Han Linxiao, Choy Kwong Wai, Sui Yi, Yang Tao and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Genomic and transcriptomic characterization of the human glioblastoma cell line AHOL1.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021
    Article
  3. Article
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

11 authors at 7 institutions in 2 countries.

Deng YanDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Song YiDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Wang Chi ChiuDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Liu Gui QinShenzhen Laboratory of Ophthalmology, Shenzhen Eye Hospital, Affiliated Shenzhen Eye Hospital of Shenzhen University, Shenzhen, China.
Wong Hoi KinDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Chung Tony Kwok HungDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Han LinxiaoDongguan Third People's Hospital, Dongguan, China.
Choy Kwong WaiDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Sui YiDepartment of Nutrition, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yang TaoCenter for Medical Research and Innovation, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, China.
Tang TaoDepartment of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
Chinese University of Hong Kong · CNThe First Affiliated Hospital, Sun Yat-sen University · CNCity University of Hong Kong, Shenzhen Research Institute · CNDongguan People’s Hospital · CNPudong Medical Center · CNShenzhen University · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was conducted to explore chromosomal copy number variations (CNV) and transcript expression and to examine pathways in cervical pathogenesis using genome-wide high resolution microarrays.

methodsGenome-wide chromosomal CNVs were investigated in 6 cervical cancer cell lines by Human Genome CGH Microarray Kit (4x44K). Gene expression profiles in cervical cancer cell lines, primary cervical carcinoma and normal cervical epithelium tissues were also studied using the Whole Human Genome Microarray Kit (4x44K).

resultsFifty common chromosomal CNVs were identified in the cervical cancer cell lines. Correlation analysis revealed that gene up-regulation or down-regulation is significantly correlated with genomic amplification (

conclusionChromosomal CNVs may contribute to their transcript expression in cervical cancer.

Indexed as

cell cycle pathwayscervical cancerchromosome copy number variationcluster analysisgene expression

Identifiers

PMID29312578
PMCPMC5752491
OpenAlexW2770447809

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.