Evidence map›Paper›PMID 23582060›Full record

ReviewCritical reviews in immunology2013

The immune system in the pathogenesis of ovarian cancer.

Bridget Charbonneau, Ellen L Goode, Kimberly R Kalli, Keith L Knutson, Melissa S Derycke

Abstract readReview
In one paragraph

Review in Critical reviews in immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Bridget CharbonneauDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA.
Ellen L Goode
Kimberly R Kalli
Keith L Knutson
Melissa S Derycke

Funding

Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI Zhenkun Lou · 2009 to 2026
$37.0M
Mayo Cancer Genetic Epidemiology Training ProgramR25CA092049 · NCI · MAYO CLINIC ROCHESTER · PI PETERSEN, GLORIA M., VACHON, CELINE M · 2001 to 2018
$5.3M
Genetic Variation in the NF-kappaB Pathway and Ovarian Cancer EtiologyR01CA122443 · NCI · MAYO CLINIC ROCHESTER · PI GOODE, ELLEN L. · 2007 to 2012
$2.7M
NCI NIH HHS P50 CA136393NCI NIH HHS P50-CA136393NCI NIH HHS R01 CA122443NCI NIH HHS R01-CA-122443NCI NIH HHS R25 CA092049NCI NIH HHS R25 CA92049
6 · The paper itself

Abstract

Clinical outcomes in ovarian cancer are heterogeneous even when considering common features such as stage, response to therapy, and grade. This disparity in outcomes warrants further exploration into tumor and host characteristics. One compelling host characteristic is the immune response to ovarian cancer. While several studies have confirmed a prominent role for the immune system in modifying the clinical course of the disease, recent genetic and protein analyses also suggest a role in disease incidence. Recent studies also show that anti-tumor immunity is often negated by immune suppressive cells present in the tumor microenvironment. These suppressive immune cells also directly enhance the pathogenesis through the release of various cytokines and chemokines, which together form an integrated pathologic network. Thus, future research into immunotherapy targeting ovarian cancer will likely become increasingly focused on combination approaches that simultaneously augment immunity while preventing local immune suppression or by disrupting critical cytokine networks.

Indexed as

Immune SystemTumor EscapeAnimalsAntigens, NeoplasmCell CommunicationCytokinesFemaleHumansOvarian NeoplasmsTumor MicroenvironmentAntigens, NeoplasmCytokines

Identifiers

PMID23582060
PMCPMC3940260

What OpenQuestion holds

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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.