Evidence map›Paper›PMID 20360909›Full record

ArticleInternational journal of general medicine2009

Screening of potential molecular targets for colorectal cancer therapy.

Kimi Honma, Ichiro Takemasa, Ryo Matoba, Yusuke Yamamoto, Fumitaka Takeshita, Masaki Mori, Morito Monden, Kenichi Matsubara, Takahiro Ochiya

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  3. Article
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  5. Article
  6. [Expression of PSMA 7 and its effect on proliferation, invasion, migration and tumorigenesis of gastric cancer].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Genetic polymorphisms in MicroRNA-related genes as predictors of clinical outcomes in colorectal adenocarcinoma patients.Clinical cancer research : an official journal of the American Association for Cancer Research · 2012
    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

9 authors.

Kimi HonmaSection for Studies on Metastasis, National Cancer Center Research Institute, Tokyo, Japan;
Ichiro Takemasa
Ryo Matoba
Yusuke Yamamoto
Fumitaka Takeshita
Masaki Mori
Morito Monden
Kenichi Matsubara
Takahiro Ochiya

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is a leading cause of cancer death worldwide. To identify molecular targets for colorectal cancer therapy, we tested small interfering RNAs (siRNAs) against 97 genes whose expression was elevated in human colorectal cancer tissues for the ability to promote apoptosis of human colorectal cancer cells (HT-29 cells). The results indicate that the downregulation of PSMA7 (proteasome subunit, alpha-type, 7) and RAN (ras-related nuclear protein) most efficiently induced apoptosis of HT-29 cells. PSMA7 and RAN were highly expressed in colorectal cancer cell lines compared with normal colon tissues. Furthermore, PSMA7 and RAN were overexpressed in not only colon tumor tissues but also the other tumor tissues. Moreover, in vivo delivery of PSMA7 siRNA and RAN siRNA markedly induced apoptosis in HT-29 xenograft tumors in mice. Thus, silencing of PSMA7 and RAN induces cancer cells to undergo apoptosis, and PSMA7 and RAN might be promising new molecular targets for drug and RNA interference-based therapeutics against colorectal cancer.

Indexed as

colorectal cancermolecular targetPSMA7RANRNAi

Identifiers

PMID20360909
PMCPMC2840570
OpenAlexW2065929554

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.