Evidence map›Paper›PMID 26483815›Full record

ReviewFrontiers in plant science2015

Plant derived substances with anti-cancer activity: from folklore to practice.

Marcelo Fridlender, Yoram Kapulnik, Hinanit Koltai

Abstract readReview
In one paragraph

Review in Frontiers in plant science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

150 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Steroidal Alkaloids fromACS omega · 2025
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  15. Pharmaceuticals (Basel, Switzerland) · 2024
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90 more citing papers are in PubMed but not listed here.

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.

Marcelo FridlenderInstitute of Plant Sciences, Agricultural Research Organization, Volcani Center , Bet Dagan, Israel.
Yoram KapulnikInstitute of Plant Sciences, Agricultural Research Organization, Volcani Center , Bet Dagan, Israel.
Hinanit KoltaiInstitute of Plant Sciences, Agricultural Research Organization, Volcani Center , Bet Dagan, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants have had an essential role in the folklore of ancient cultures. In addition to the use as food and spices, plants have also been utilized as medicines for over 5000 years. It is estimated that 70-95% of the population in developing countries continues to use traditional medicines even today. A new trend, that involved the isolation of plant active compounds begun during the early nineteenth century. This trend led to the discovery of different active compounds that are derived from plants. In the last decades, more and more new materials derived from plants have been authorized and subscribed as medicines, including those with anti-cancer activity. Cancer is among the leading causes of morbidity and mortality worldwide. The number of new cases is expected to rise by about 70% over the next two decades. Thus, there is a real need for new efficient anti-cancer drugs with reduced side effects, and plants are a promising source for such entities. Here we focus on some plant-derived substances exhibiting anti-cancer and chemoprevention activity, their mode of action and bioavailability. These include paclitaxel, curcumin, and cannabinoids. In addition, development and use of their synthetic analogs, and those of strigolactones, are discussed. Also discussed are commercial considerations and future prospects for development of plant derived substances with anti-cancer activity.

Indexed as

active compoundsanti-cancer agentschemopreventionfolkloreplant

Identifiers

PMID26483815
PMCPMC4589652

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Registered trials

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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.