Evidence map›Paper›PMID 32328183›Full record

ArticleJournal of Cancer2020

Analysis of Differentially Expressed Genes in a Chinese Cohort of Esophageal Squamous Cell Carcinoma.

Gang Liu, Yuan Zhao, Huili Chen, Jinru Jia, Xiaomin Cheng, Fengjie Wang, Qiang Ji, Rick F Thorne, Song Chen, Xiaoying Liu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. AberrantFrontiers in oncology · 2020
    Article
  6. 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

10 authors at 3 institutions in 1 country.

Gang LiuTranslational Research Institute, Henan Provincial People's Hospital, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450003, China.
Yuan ZhaoDepartment of Thoracic Surgery, the First Affiliated Hospital, Anhui Medical University, Hefei 230032, China.
Huili ChenTranslational Research Institute, Henan Provincial People's Hospital, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450003, China.
Jinru JiaTranslational Research Institute, Henan Provincial People's Hospital, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450003, China.
Xiaomin ChengBiology Department, School of Life Sciences, Anhui Medical University, Hefei, 230032, China.
Fengjie WangBiology Department, School of Life Sciences, Anhui Medical University, Hefei, 230032, China.
Qiang JiBiology Department, School of Life Sciences, Anhui Medical University, Hefei, 230032, China.
Rick F ThorneTranslational Research Institute, Henan Provincial People's Hospital, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450003, China.
Song ChenTranslational Research Institute, Henan Provincial People's Hospital, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450003, China.
Xiaoying LiuTranslational Research Institute, Henan Provincial People's Hospital, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450003, China.
Anhui Medical University · CNHenan Provincial People's Hospital · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) is a leading malignancy in China with both high incidence and mortality. Towards improving outcomes, clinically-relevant biomarkers are urgently needed for use as prognostic and treatment targets. Herein we applied RNA-seq for deep sequencing of ten matched pairs of ESCC and adjacent non-cancerous tissues (NT) from Chinese patients. Transcriptomic data mapped to approximately 64% of all annotated genes with 2,047 and 708 unigenes being differentially up-regulated and down-regulated, respectively, between ESCCs and NT samples (

Indexed as

CLIC2CLIC3CLIC4differentially expressed gene (DEG)ESCCRNA-seqtranscriptome

Identifiers

PMID32328183
PMCPMC7171491
OpenAlexW3016050953

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.