Evidence map›Paper›PMID 28418924›Full record

ArticleOncotarget2017

RNA sequencing analyses reveal novel differentially expressed genes and pathways in pancreatic cancer.

Yixiang Mao, Jianjun Shen, Yue Lu, Kevin Lin, Huamin Wang, Yanan Li, Ping Chang, Mary G Walker, Donghui Li

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 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Next-Generation Sequencing: An Advanced Diagnostic Tool for Detection of Pancreatic Disease/Disorder.JGH open : an open access journal of gastroenterology and hepatology · 2024
    Review
  9. Review
  10. Article
  11. Article
  12. Scientifica · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Whole-Genome Sequencing of Common Salivary Gland Carcinomas: Subtype-Restricted and Shared Genetic Alterations.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  20. 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

9 authors at 2 institutions in 2 countries.

Yixiang MaoDepartment of Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215007, China.
Jianjun ShenDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Smithville, Texas 78957, USA.
Yue LuDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Smithville, Texas 78957, USA.
Kevin LinDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Smithville, Texas 78957, USA.
Huamin WangDepartment of Pathology and Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Yanan LiDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Ping ChangDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Mary G WalkerDepartment of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Smithville, Texas 78957, USA.
Donghui LiDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
The University of Texas MD Anderson Cancer Center · USSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression microarrays have identified many tumor markers and therapeutic targets for pancreatic ductal adenocarcinoma (PDAC). However, microarray profilings have limited sensitivity and are prone to cross-hybridization between homologous DNA fragments. Here, we perform a transcriptome analysis of paired tumor and adjacent benign pancreatic tissues from 10 patients who underwent resection for PDAC. We identify a total of 2736 differentially expressed genes (DEGs) with false discovery rate less than 0.05, including 1554 upregulated, 1182 downregulated, and 6 microRNAs (miR-614, miR-217, miR-27b, miR-4451, miR-3609, and miR-612). Overexpression of five DEGs, i.e. KRT16, HOXA10, CDX1, SI, and SERPINB5 in tumors is confirmed by RT-PCR in 20 additional tissues. Overexpression of KRT16 in PDAC is also verified on protein level. In addition, top canonical pathways such as granulocyte adhesion and diapedesis pathway have been identified. Our study represents a comprehensive characterization of the PDAC transcriptome and provides insight to the mechanisms of pancreatic carcinogenesis and potential biomarkers and novel therapeutic targets for pancreatic cancer.

Indexed as

Gene Expression Regulation, NeoplasticSignal TransductionBiomarkers, TumorComputational BiologyGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansPancreatic NeoplasmsReproducibility of ResultsSequence Analysis, RNATranscriptomeBiomarkers, Tumorpancreatic cancerpathway analysisRNA sequencingtranscriptome

Identifiers

PMID28418924
PMCPMC5522086
OpenAlexW2597447845

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.