Evidence map›Paper›PMID 23869779›Full record

ReviewAnti-cancer agents in medicinal chemistry2014

Adenoviral vectors for prodrug activation-based gene therapy for cancer.

Joshua C Doloff, David J Waxman

Abstract readReview
In one paragraph

Review in Anti-cancer agents in medicinal chemistry, 2014. 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
–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

8 citing papers in PubMed.

  1. Four decades of adenovirus gene transfer vectors: History and current use.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  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

2 authors.

Joshua C Doloff
David J WaxmanDepartment of Cell and Molecular, Biology, Boston University, 5 Cummington Mall, Boston, MA 02215, USA. djw@bu.edu.

Funding

HEPATIC METABOLISM OF ANTICANCER DRUGSR01CA049248 · NCI · DANA-FARBER CANCER INSTITUTE · PI WAXMAN, DAVID J · 1991 to 2014
$4.3M
NCI NIH HHS CA049248NCI NIH HHS R01 CA049248
6 · The paper itself

Abstract

Cancer cell heterogeneity is a common feature - both between patients diagnosed with the same cancer and within an individual patient's tumor - and leads to widely different response rates to cancer therapies and the potential for the emergence of drug resistance. Diverse therapeutic approaches have been developed to combat the complexity of cancer, including individual treatment modalities designed to target tumor heterogeneity. This review discusses adenoviral vectors and how they can be modified to replicate in a cancer-specific manner and deliver therapeutic genes under multi-tiered regulation to target tumor heterogeneity, including heterogeneity associated with cancer stem cell-like subpopulations. Strategies that allow for combination of prodrug-activation gene therapy with a novel replication-conditional, heterogeneous tumor-targeting adenovirus are discussed, as are the benefits of using adenoviral vectors as tumor-targeting oncolytic vectors. While the anticancer activity of many adenoviral vectors has been well established in preclinical studies, only limited successes have been achieved in the clinic, indicating a need for further improvements in activity, specificity, tumor cell delivery and avoidance of immunogenicity.

Indexed as

AdenoviridaeAnimalsAntineoplastic AgentsBystander EffectDNA ReplicationGenetic TherapyGenetic VectorsHumansNeoplasmsNeoplastic Stem CellsOncolytic VirotherapyOncolytic VirusesProdrugsPromoter Regions, GeneticVirus ReplicationAntineoplastic AgentsProdrugs

Identifiers

PMID23869779
PMCPMC3947260

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.