Evidence map›Paper›PMID 16799627›Full record

ReviewOncogene2006

RNA interference-mediated prevention and therapy for hepatocellular carcinoma.

P R Romano, D E McCallus, C J Pachuk

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Review
  3. The Role of Small Interfering RNAs in Hepatocellular Carcinoma.Journal of gastrointestinal cancer · 2024
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Hepatocellular carcinoma: insight from animal models.Nature reviews. Gastroenterology & hepatology · 2011
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

3 authors at 1 institution in 1 country.

P R RomanoNucleonics, Horsham, PA 19044, USA.
D E McCallus
C J Pachuk
Bio-Nucleonics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death and is on the increase worldwide. Hepatocellular carcinoma results from chronic liver disease and cirrhosis most commonly associated with chronic hepatitis B (HBV) or hepatitis C (HCV) infection. The highest incidences of HCC are found in China and Africa, where chronic HBV infection is the major risk component. In the United States, Europe and Japan, the significant increase in HCC and HCC-related deaths within the last three decades is mainly attributed to the rise in the number of HCV-infected individuals; smaller increases of HCC are associated with HBV. Given that HCV and HBV infection account for the majority of HCCs, therapeutic and prophylactic approaches to control or eliminate virus infection may prove effective in reducing the occurrence of HCC. Although anti-viral therapies exist for both HBV and HCV infections, they are ineffective for a significant number of patients. In addition, some treatments such as interferon therapy are dose limiting owing to toxic side effects. Clearly, new approaches are needed. RNA interference (RNAi)-based approaches may meet this need and have already shown promising preclinical results in cell culture and animal models. Although this paper focuses on the potential of RNAi as a prophylactic for HCC development, the potential use of RNAi-mediated approaches for HCC therapy will also be discussed.

Indexed as

AnimalsCarcinoma, HepatocellularHumansLiver NeoplasmsRNA Interference

Identifiers

PMID16799627
OpenAlexW1963520493

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.