Evidence map›Paper›PMID 17573126›Full record

ReviewTrends in pharmacological sciences2007

Viruses as anticancer drugs.

Stephen J Russell, Kah-Whye Peng

Abstract readReview
In one paragraph

Review in Trends in pharmacological sciences, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing 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

100 citing papers in PubMed.

  1. Measles virus for cancer therapy.Current topics in microbiology and immunology · 2009
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40 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

2 authors.

Stephen J RussellMolecular Medicine Program, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA. sjr@mayo.edu
Kah-Whye Peng

Funding

Vascular gene transfer using a novel cellular stentP01HL066958 · NHLBI · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI BAILEY, KENT R · 2001 to 2005
$8.2M
Radiovirotherapy for Multiple MyelomaR01CA100634 · NCI · MAYO CLINIC ROCHESTER · PI RUSSELL, STEPHEN J · 2003 to 2012
$3.2M
Retargeted Oncolytic Measles Viruses Displaying Single-Chain AntibodiesR01CA118488 · NCI · MAYO CLINIC ROCHESTER · PI PENG, KAH-WHYE · 2006 to 2010
$1.3M
NCI NIH HHS CA100634NCI NIH HHS CA118488NCI NIH HHS R01 CA100634NCI NIH HHS R01 CA118488NHLBI NIH HHS HL66958NHLBI NIH HHS P01 HL066958
6 · The paper itself

Abstract

Oncolytic viruses are being developed as anticancer drugs. They propagate selectively in tumor tissue and destroy it without causing excessive damage to normal non-cancerous tissues. When used as drugs, they must meet stringent criteria for safety and efficacy and be amenable to pharmacological study in human subjects. Specificity for neoplastic tissue is the key to safety, and this goal can be achieved through a variety of ingenious virus-engineering strategies. Antiviral immunity remains a significant barrier to the clinical efficacy of oncolytic viruses but this is being addressed by using novel immune-evasive delivery strategies and immunosuppressive drugs. Noninvasive pharmacokinetic monitoring is facilitated by engineering marker genes into the viral genome. Clinical data on the pharmacokinetics of oncolytic viruses will be the key to accelerating their development and approval as effective anticancer drugs. This review introduces concepts relevant to the use of viruses as anticancer drugs, emphasizing targeting mechanisms as well as safety and efficacy issues that are currently limiting their clinical success.

Indexed as

Oncolytic VirotherapyAntineoplastic AgentsHumansNeoplasmsOncolytic VirusesAntineoplastic Agents

Identifiers

PMID17573126
PMCPMC3125087

What OpenQuestion holds

Textmetadata
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.