Evidence map›Paper›PMID 25788131›Full record

ArticleDrug delivery and translational research2013

Liposomally encapsulated CDC20 siRNA inhibits both solid melanoma tumor growth and spontaneous growth of intravenously injected melanoma cells on mouse lung.

Anubhab Mukherjee, Jayanta Bhattacharyya, Madamsetty Vijay Sagar, Arabinda Chaudhuri

Abstract read
PubMed Publisher
In one paragraph

Article in Drug delivery and translational research, 2013. 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
0.1field-weighted citation impact, top 45% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
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 1 institution in 2 countries.

Anubhab MukherjeeDivision of Lipid Science and Technology, CSIR-Indian Institute of Chemical Technology, Hyderabad, 500007, India.
Jayanta Bhattacharyya
Madamsetty Vijay Sagar
Arabinda Chaudhuri
Indian Institute of Chemical Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell division cycle homologue 20 (CDC20), a key cell cycle regulator required for the completion of mitosis in organisms from yeast to human, is highly expressed in several carcinomas. Recent studies have shown that specific knockdown of CDC20 expression is capable of significantly inhibiting the growth of human pancreatic carcinoma cells. However, preclinical studies aimed at demonstrating the therapeutic potential of CDC20 siRNA in combating tumor growth has not yet been reported. Herein, in a syngeneic C57BL/6J mouse tumor model, we show that intraperitoneal administration of a 19-bp synthetic CDC20 siRNA encapsulated within liposomes of guanidinylated cationic amphiphile with stearyl tails inhibits solid melanoma (B16F10) tumor growth. In addition, using a spontaneous lung metastasis model in C57BL/6J mice, we show that intravenous administration of the same liposomally encapsulated 19-bp synthetic CDC20 siRNA inhibits B16F10 melanoma growth on mouse lung. Liposomally bound CDC20 siRNA was found to be efficient in silencing the expression of CDC20 in B16F10 cells at both protein and mRNA levels. Findings in the flow cytometric studies confirmed the presence of significantly enhanced populations of G2/M phase in cells treated with liposomally bound CDC20 siRNA. To the best of our knowledge, the present findings demonstrate, for the first time, systemic use of CDC20 siRNA in inhibiting mouse tumor growth.

Identifiers

PMID25788131
OpenAlexW1970167574

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.