Evidence map›Paper›PMID 12900758›Full record

ArticleGene therapy2003

Viral oncoapoptosis of human tumor cells.

M Aubert, J A Blaho

Abstract read
PubMed Publisher
In one paragraph

Article in Gene therapy, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. SARS coronavirus induces apoptosis in Vero E6 cells.Journal of medical virology · 2004
    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

2 authors.

M AubertDepartment of Microbiology, Mount Sinai School of Medicine, New York, NY 10029-6574, USA.
J A Blaho

Funding

HSV REGULATION BY PROTEIN MODIFICATIONR01AI038873 · NIAID · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BLAHO, JOHN A. · 2002 to 2006
$1.5M
HSV REGULATION BY PROTEIN MODIFICATIONR21AI038873 · NIAID · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BLAHO, JOHN A. · 2001 to 2001
$339k
HSV PROTEIN NUCLEOTIDYLATION AND LYTIC INFECTIONR29AI038873 · NIAID · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BLAHO, JOHN A. · 1996 to 2000
$117k
NIAID NIH HHS AI38873
6 · The paper itself

Abstract

Many cancer cells refractory to radiation treatment and chemotherapy proliferate because of loss of intrinsic programmed cell death (apoptosis) regulation. Consequently, the resolution of these cancers are many times outside the management capabilities of conventional therapeutics. We now report that replication-defective delta27 herpes simplex virus (rd delta27) triggers apoptosis in three representative transformed human cell lines. Susceptibility to virus-induced cell death is dependent on the abundance and distribution of modified p53 protein in the tumor cells indicating specific targeting of the treatment. Primary human and mouse fibroblast cells that produce modified p53 are resistant to rd delta27 killing but not to apoptosis induced by nonviral environmental factors. These results suggest that induction of apoptosis by nonreplicating virus is a feasible genetic therapy approach for killing human cancer cells. Our findings may have important implications in designing novel virus-based anticancer strategies in appropriate animal model systems.

Indexed as

ApoptosisAnimalsCell Line, TransformedCells, CulturedDNA, ViralFibroblastsGenetic TherapyHeLa CellsHumansImage Processing, Computer-AssistedMicroscopy, Phase-ContrastSimplexvirusTransfectionTumor Suppressor Protein p53Virus ReplicationDNA, ViralTumor Suppressor Protein p53

Identifiers

PMID12900758

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.