Evidence map›Paper›PMID 39584140›Full record

ReviewFrontiers in pharmacology2024

Targeting programmed cell death via active ingredients from natural plants: a promising approach to cancer therapy.

Qian Li, Yan Tong, Jianxiang Chen, Tian Xie

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Molecules (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Targeting triple-negative breast cancer: apoptotic and antitumor effects of Artemisia sieberi Besser extracts.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025
    Article
  6. Review
  7. Programmed cell death in triple-negative breast cancer.Cellular & molecular biology letters · 2025
    Review
  8. 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

4 authors.

Qian LiSchool of Pharmacy and Department of Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China.
Yan TongSchool of Pharmacy and Department of Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China.
Jianxiang ChenSchool of Pharmacy and Department of Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China.
Tian XieSchool of Pharmacy and Department of Hepatology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a serious public health problem in humans, and prevention and control strategies are still necessary. Therefore, the development of new therapeutic drugs is urgently needed. Targeting programmed cell death, particularly via the induction of cancer cell apoptosis, is one of the cancer treatment approaches employed. Recently, an increasing number of studies have shown that compounds from natural plants can target programmed cell death and kill cancer cells, laying the groundwork for use in future anticancer treatments. In this review, we focus on the latest research progress on the role and mechanism of natural plant active ingredients in different forms of programmed cell death, such as apoptosis, autophagy, necroptosis, ferroptosis, and pyroptosis, to provide a strong theoretical basis for the clinical development of antitumor drugs.

Indexed as

cancer therapypharmacologyplant natural compoundprogrammed cell deathsignaling pathways

Identifiers

PMID39584140
PMCPMC11582395

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.