Evidence map›Paper›PMID 27259398›Full record

ReviewAdvanced drug delivery reviews2016

Delivery strategies and potential targets for siRNA in major cancer types.

So Jin Lee, Min Ju Kim, Ick Chan Kwon, Thomas M Roberts

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
8.7field-weighted citation impact, top 2% 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

50 citing papers in PubMed, 138 citations in OpenAlex.

  1. Review
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  8. siRNA-based strategies to combat drug resistance in gastric cancer.Medical oncology (Northwood, London, England) · 2024
    Review
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  13. The Role of Small Interfering RNAs in Hepatocellular Carcinoma.Journal of gastrointestinal cancer · 2024
    Review
  14. Review
  15. Review
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  18. Article
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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

4 authors at 2 institutions in 2 countries.

So Jin Lee *Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02115.
Min Ju Kim *Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02115.
Ick Chan KwonCenter for Theragnosis, Biomedical Research Institute, Korea Institute of Science and Technology, Hwarangno 14-gil 6, Seongbuk-gu, Seoul 136-791, South Korea.
Thomas M RobertsDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02115.
Dana-Farber Cancer Institute · USKorea Institute of Science and Technology · KR

Funding

Transgenic Mouse CoreP01CA089021 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI CANTLEY, LEWIS C. · 2001 to 2011
$20.1M
NCI NIH HHS P01 CA089021
6 · The paper itself

Abstract

Small interfering RNA (siRNA) has gained attention as a potential therapeutic reagent due to its ability to inhibit specific genes in many genetic diseases. For many years, studies of siRNA have progressively advanced toward novel treatment strategies against cancer. Cancer is caused by various mutations in hundreds of genes including both proto-oncogenes and tumor suppressor genes. In order to develop siRNAs as therapeutic agents for cancer treatment, delivery strategies for siRNA must be carefully designed and potential gene targets carefully selected for optimal anti-cancer effects. In this review, various modifications and delivery strategies for siRNA delivery are discussed. In addition, we present current thinking on target gene selection in major tumor types.

Indexed as

Drug Delivery SystemsGene TargetingRNA, Small InterferingGenetic TherapyHumansNeoplasmsRNA InterferenceRNA, Small InterferingCancerDelivery strategy of siRNAsGene targetsiRNA therapeuticsSmall interfering RNA (siRNA)

Identifiers

PMID27259398
PMCPMC4958528
OpenAlexW2413021648

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.