Evidence map›Paper›PMID 32724360›Full record

ArticleOncology letters2020

Integrated analysis revealing genome-wide chromosomal copy number variation in supraglottic laryngeal squamous cell carcinoma.

Dongjie Li, Xianfu Wang, Shunfei Lu, Ping Wang, Xin Wang, Wanzhong Yin, Wei Zhu, Shibo Li

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. 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
0.5field-weighted citation impact, top 29% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Multi-Omics Analysis of the Effects of Smoking on Human Tumors.Frontiers in molecular biosciences · 2021
    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

8 authors at 4 institutions in 2 countries.

Dongjie LiDepartment of Otorhinolaryngology, Head and Neck Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Xianfu WangDepartment of Pediatrics, Genetics Laboratory, University of Oklahoma Health Sciences Center, Oklahoma, OK 73104, USA.
Shunfei LuDepartment of Clinical Medicine, Lishui College of Medicine, Lishui, Zhejiang 323000, P.R. China.
Ping WangDepartment of Otorhinolaryngology, Head and Neck Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Xin WangDepartment of Otorhinolaryngology, Head and Neck Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Wanzhong YinDepartment of Otorhinolaryngology, Head and Neck Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Wei ZhuDepartment of Otorhinolaryngology, Head and Neck Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Shibo LiDepartment of Pediatrics, Genetics Laboratory, University of Oklahoma Health Sciences Center, Oklahoma, OK 73104, USA.
First Hospital of Jilin University · CNUniversity of Oklahoma Health Sciences Center · USJilin University · CNLishui University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laryngeal squamous cell carcinoma (LSCC) is a genetically complex tumor type and one of the leading causes of cancer-associated disability and mortality. Genetic instability, such as chromosomal instability, is associated with the tumorigenesis of LSCC. Copy number variations (CNVs) have been demonstrated to contribute to the genetic diversity of tumor pathogenesis. Comparative genomic hybridization (CGH) has emerged as a high-throughput genomic technology that facilitates the aggregation of high-resolution data of cancer-associated genomic imbalances. In the present study, a total of 38 primary supraglottic LSCC cases were analyzed by high-resolution array-based CGH (aCGH) to improve the understanding of the genetic alterations in LSCC. Additionally, integration with bioinformatic analysis of microarray expression profiling data from the Gene Expression Omnibus (GEO) database provided a fundamental method for the identification of putative target genes. Genomic CNVs were detected in all cases. The size of net genomic imbalances per case ranged between a loss of 682.3 Mb (~24% of the genome) and a gain of 1,958.6 Mb (~69% of the genome). Recurrent gains included 2pter-q22.1, 3q26.1-qter, 5pter-p12, 7p22.3p14.1, 8p12p11.22, 8q24.13q24.3, 11q13.2q13.4, 12pter-p12.2, 18pter-p11.31 and 20p13p12.1, whereas recurrent losses included 3pter-p21.32, 4q28.1-q35.2, 5q13.2-qter, 9pter-p21.3 and monosomy 13. Gains of 3q26.1-qter were associated with tumor stage, poor differentiation and smoking history. Additionally, through integration with bioinformatic analysis of data from the GEO database, putative target oncogenes, including sex-determining region Y-box 2, eukaryotic translation initiation factor 4 gamma 1, fragile X-related gene 1, disheveled segment polarity protein 3, defective n cullin neddylation 1 domain containing 1, insulin like growth factor 2 mRNA binding protein 2 and CCDC26 long non-coding RNA, and tumor suppressor genes, such as CUB and sushi multiple domains 1, cyclin dependent kinase inhibitor 2A, protocadherin 20, serine peptidase inhibitor Kazal type 5 and Nei like DNA glycosylase 3, were identified in supraglottic LSCC. Supraglottic LSCC is a genetically complex tumor type and aCGH was demonstrated to be effective in the determination of molecular profiles with higher resolution. The present results enable the identification of putative target oncogenes and tumor suppressor gene mapping in supraglottic LSCC.

Indexed as

array-based comparative genomic hybridizationcopy number variationgenelaryngeal squamous cell carcinomasupraglottic

Identifiers

PMID32724360
PMCPMC7377034
OpenAlexW3026945747

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.