Evidence map›Paper›PMID 29057876›Full record

ArticleNature communications2017

Comprehensive analysis of normal adjacent to tumor transcriptomes.

Dvir Aran, Roman Camarda, Justin Odegaard, Hyojung Paik, Boris Oskotsky, Gregor Krings, Andrei Goga, Marina Sirota, Atul J Butte

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 377 papers.

0numbers the graph read from it
0cells of the map it votes in
377citing papers in PubMed
–field-weighted citation impact
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

377 citing papers in PubMed.

  1. Mitochondrial Supercomplex-Associated Proximity Increases in Malignant Glioma Tissue.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  12. Proteomic characterization of airway obstruction-associated proteins in non-smoking lung adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  13. Article
  14. Article
  15. Article
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  20. Article

317 more citing papers are in PubMed but not listed here.

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.

Dvir AranInstitute for Computational Health Sciences, University of California, San Francisco, CA, 94158, USA. dvir.aran@ucsf.edu.ORCID http://orcid.org/0000-0001-6334-5039
Roman CamardaDepartment of Cell and Tissue Biology, University of California, San Francisco, CA, 94143, USA.
Justin OdegaardDepartment of Pathology, Stanford University Medical Center, Stanford, CA, 94305, USA.
Hyojung PaikInstitute for Computational Health Sciences, University of California, San Francisco, CA, 94158, USA.
Boris OskotskyInstitute for Computational Health Sciences, University of California, San Francisco, CA, 94158, USA.
Gregor KringsDepartment of Pathology, University of California, San Francisco, CA, 94143, USA.
Andrei GogaDepartment of Cell and Tissue Biology, University of California, San Francisco, CA, 94143, USA.
Marina SirotaInstitute for Computational Health Sciences, University of California, San Francisco, CA, 94158, USA.
Atul J ButteInstitute for Computational Health Sciences, University of California, San Francisco, CA, 94158, USA. atul.butte@ucsf.edu.ORCID http://orcid.org/0000-0002-7433-2740

Funding

PREDOCTORAL TRAINING IN BIOMEDICAL SCIENCEST32GM008568 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANSEL, KARL MARK · 1995 to 2019
$6.3M
Stanford and Northrop Grumman proposal for the Oncology Models ForumU24CA195858 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BUTTE, ATUL J · 2015 to 2019
$4.7M
Investigating Fatty Acid Oxidation in Primary and Metastatic MYC-Overexpressing Triple-Negative Breast CancerF99CA212488 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CAMARDA, ROMAN · 2016 to 2017
$72k
NCI NIH HHS F99 CA212488NCI NIH HHS U24 CA195858NIGMS NIH HHS T32 GM008568
6 · The paper itself

Abstract

Histologically normal tissue adjacent to the tumor (NAT) is commonly used as a control in cancer studies. However, little is known about the transcriptomic profile of NAT, how it is influenced by the tumor, and how the profile compares with non-tumor-bearing tissues. Here, we integrate data from the Genotype-Tissue Expression project and The Cancer Genome Atlas to comprehensively analyze the transcriptomes of healthy, NAT, and tumor tissues in 6506 samples across eight tissues and corresponding tumor types. Our analysis shows that NAT presents a unique intermediate state between healthy and tumor. Differential gene expression and protein-protein interaction analyses reveal altered pathways shared among NATs across tissue types. We characterize a set of 18 genes that are specifically activated in NATs. By applying pathway and tissue composition analyses, we suggest a pan-cancer mechanism of pro-inflammatory signals from the tumor stimulates an inflammatory response in the adjacent endothelium.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantHumansNeoplasmsRNA, Small InterferingTranscriptomeRNA, Small Interfering

Identifiers

PMID29057876
PMCPMC5651823

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Registered trials

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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.