Evidence map›Paper›PMID 20298150›Full record

ReviewCurrent drug targets2010

Targeting apoptosis pathway with natural terpenoids: implications for treatment of breast and prostate cancer.

Huanjie Yang, Q Ping Dou

Open access · bronzeAbstract readReview
In one paragraph

Review in Current drug targets, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
20.5field-weighted citation impact, top 1% 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

45 citing papers in PubMed, 143 citations in OpenAlex.

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  20. Terpenoids' anti-cancer effects: focus on autophagy.Apoptosis : an international journal on programmed cell death · 2021
    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

2 authors at 1 institution in 1 country.

Huanjie YangThe Prevention Program, Barbara Ann Karmanos Cancer Institute, and Department of Oncology, School of Medicine, Wayne State University, Detroit, Michigan 48201, USA.
Q Ping Dou
The Barbara Ann Karmanos Cancer Institute · US

Funding

Roles of polymorphic COMT, tea polyphenols and proteasome in cancer preventionR01CA120009 · NCI · WAYNE STATE UNIVERSITY · PI DOU, QING PING · 2006 to 2010
$1.5M
NCI NIH HHS 1R01CA120009NCI NIH HHS 3R01CA120009-04S1NCI NIH HHS R01 CA120009
6 · The paper itself

Abstract

Terpenoids represent a large and diverse class of naturally occurring compounds found in a variety of fruits, vegetables and medicinal plants. Structurally some of the terpenoids are similar to human hormones. A diet rich in terpenoids is inversely related with the risk of chronic diseases including cancers. Breast and prostate cancers are hormone-related diseases and the second leading cause of female and male cancer mortality. Diterpenoid paclitaxel, and its semi-synthetic analogue docetaxel, have entered clinical use against established breast and prostate cancers. Here we reviewed potential molecular targets and biological properties of natural terpenoids, including monoterpenoids, diterpenoids, triterpenoids and tetraterpenoids, and their applications in treatment of human breast and prostate cancers. These terpenoids are able to inhibit tumor cell proliferation and induce tumor cell death by inhibiting multiple cancer-specific targets including the proteasome, NF-kappaB, and antiapoptotic protein Bcl-2. The efficacy of these terpenoids against breast or prostate cancer cells, as demonstrated in pre-clinical studies support clinical application of these naturally occurring terpenoids in treatment of hormone-related human cancers.

Indexed as

AnimalsApoptosisBreast NeoplasmsFemaleHumansMaleProstatic NeoplasmsTerpenesTerpenes

Identifiers

PMID20298150
PMCPMC3306610
OpenAlexW1994922120

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.