Evidence map›Paper›PMID 31678172›Full record

ArticleExperimental cell research2020

Comparative gene expression analysis in melanocytes driven by tumor cell-derived exosomes.

Deyi Xiao, Xiaohong Li, Eric C Rouchka, Sabine Waigel, Wolfgang Zacharias, Kelly M McMasters, Hongying Hao

Open access · greenAbstract read
In one paragraph

Article in Experimental cell research, 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
0.9field-weighted citation impact, top 25% 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, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
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

7 authors at 1 institution in 1 country.

Deyi XiaoHiram C. Polk, Jr., MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, 40292, USA.
Xiaohong LiBioinformatics Laboratory, University of Louisville School of Medicine, Louisville, KY, 40292, USA.
Eric C RouchkaBioinformatics Laboratory, University of Louisville School of Medicine, Louisville, KY, 40292, USA.
Sabine WaigelGenomics Facility, University of Louisville School of Medicine, Louisville, KY, 40292, USA.
Wolfgang ZachariasGenomics Facility, University of Louisville School of Medicine, Louisville, KY, 40292, USA; Department of Medicine and Department of Pharmacology and Toxicology, James Graham Brown Cancer Center, University of Louisville School of Medicine, Louisville, KY, 40292, USA.
Kelly M McMastersHiram C. Polk, Jr., MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, 40292, USA.
Hongying HaoHiram C. Polk, Jr., MD Department of Surgery, University of Louisville School of Medicine, Louisville, KY, 40292, USA. Electronic address: h0hao001@louisville.edu.
University of Louisville · US

Funding

WKU Lead Faculty AwardP20GM103436 · NIGMS · UNIVERSITY OF LOUISVILLE · PI ERIC C ROUCHKA · 2012 to 2026
$60.1M
PILOT PROJECT PROGRAMP30GM106396 · NIGMS · UNIVERSITY OF LOUISVILLE · PI EATON, JOHN W · 2013 to 2017
$5.4M
NIGMS NIH HHS P20 GM103436NIGMS NIH HHS P30 GM106396
6 · The paper itself

Abstract

Abundant with organelle-like membranous structures, the tumor microenvironment is composed of cancer cells that secrete exosomes. Studies have shown that these secreted exosomes transport RNA and active molecules to other cells to reshape the tumor microenvironment and promote tumor growth. In fact, we found that exosomes derived from melanoma cells drive pre-malignant transition in primary melanocytes. However, there is little available in the scientific literature on how exosomes modulate melanocytes in the microenvironment to optimize conditions for tumor progression and metastasis. We therefore focused this current study on identifying these conditions genetically. Through RNA sequencing, we analyzed gene expression levels of melanocytes driven by exosomes derived from melanoma and lung cancer cells compared with those without exosome controls. Significant differences were found in gene expression patterns of melanocytes driven by exosomes derived from melanoma and lung cancer cells. In the melanocytes responding to exosomes derived from melanoma cells, genes of lipopolysaccharide and regulation of leukocyte chemotaxis were predominant. In the melanocytes responding to exosomes derived from lung cancer cells, genes of DNA replication and mitotic nuclear division played an important role. These results provide further mechanistic understanding of tumor progression promoted by tumor-derived exosomes. This will also help identify potential therapeutic targets for melanoma progression.

Indexed as

TranscriptomeA549 CellsCells, CulturedExosomesGene Expression ProfilingHumansMelanocytesMelanomaTumor MicroenvironmentExosomeMelanocyteMelanomaRNA sequencingTumor progression

Identifiers

PMID31678172
PMCPMC6911827
OpenAlexW2983542051

What OpenQuestion holds

Textmetadata
LicenceTDM
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.