Evidence map›Paper›PMID 28667073›Full record

ArticleCancer research2017

Cancer Cell-Autonomous Parainflammation Mimics Immune Cell Infiltration.

Audrey Lasry, Dvir Aran, Atul J Butte, Yinon Ben-Neriah

Abstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Review
  6. Assessment of para-inflammation in a wound healing model.Experimental and therapeutic medicine · 2020
    Article
  7. Observational
  8. 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

4 authors at 1 institution in 2 countries.

Audrey LasryThe Lautenberg Center for Immunology and Cancer Research, IMRIC, Hebrew University-Hadassah Medical School, Jerusalem, Israel.
Dvir AranInstitute for Computational Health Sciences, University of California, San Francisco, California.
Atul J ButteInstitute for Computational Health Sciences, University of California, San Francisco, California.
Yinon Ben-NeriahThe Lautenberg Center for Immunology and Cancer Research, IMRIC, Hebrew University-Hadassah Medical School, Jerusalem, Israel. Yinonb@ekmd.huji.ac.il.
Hebrew University of Jerusalem · IL

Funding

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
NCI NIH HHS U24 CA195858
6 · The paper itself

Abstract

Parainflammation is a unique variant of inflammation, characterized by epithelial-autonomous activation of inflammatory response. Parainflammation has been shown to strongly promote mouse gut tumorigenesis upon p53 loss. In a recent study, we explored the prevalence of parainflammation in human cancer and determined its relationship to certain molecular and clinical parameters affecting treatment and prognosis. Parainflammation can be identified from a 40-gene signature and is found in both carcinoma cell lines and a variety of primary tumors, independently of tumor microenvironment. Here, we discuss the implications of our findings in analyses of tumor microenvironment, suggesting that as tumor cell gene expression may often mimic immune and inflammatory infiltration, caution should be applied when interpreting tumor expression data. We also address the connection between parainflammation and prevalence of p53 mutations in specific types of tumors, and cancer prevention by regular usage of NSAIDs. We suggest that parainflammation may serve as a novel biomarker for screening patients who may particularly benefit from NSAID treatment.

Indexed as

AnimalsCarcinogenesisCarcinomaHumansInflammationMiceTumor Microenvironment

Identifiers

PMID28667073
PMCPMC5518753
OpenAlexW2724698193

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.