Evidence map›Paper›PMID 31354479›Full record

ReviewFrontiers in pharmacology2019

Apoptotic Pathway as the Therapeutic Target for Anticancer Traditional Chinese Medicines.

Weixiao An, Honglin Lai, Yangyang Zhang, Minghua Liu, Xiukun Lin, Shousong Cao

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 92 citations in OpenAlex.

  1. Review
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  11. Pharmaceutical biology · 2022
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  14. Oncology reports · 2022
    Article
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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

6 authors at 1 institution in 1 country.

Weixiao AnDepartment of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China.
Honglin LaiDepartment of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China.
Yangyang ZhangDepartment of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China.
Minghua LiuDepartment of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China.
Xiukun LinDepartment of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China.
Shousong CaoDepartment of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, China.
Southwest Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a leading cause of morbidity and mortality worldwide. Apoptosis is a process of programmed cell death and it plays a vital role in human development and tissue homeostasis. Mounting evidence indicates that apoptosis is closely related to the survival of cancer and it has emerged as a key target for the discovery and development of novel anticancer drugs. Various studies indicate that targeting the apoptotic signaling pathway by anticancer drugs is an important mechanism in cancer therapy. Therefore, numerous novel anticancer agents have been discovered and developed from traditional Chinese medicines (TCMs) by targeting the cellular apoptotic pathway of cancer cells and shown clinically beneficial effects in cancer therapy. This review aims to provide a comprehensive discussion for the role, pharmacology, related biology, and possible mechanism(s) of a number of important anticancer TCMs and their derivatives mainly targeting the cellular apoptotic pathway. It may have important clinical implications in cancer therapy.

Indexed as

apoptosiscancercancer therapycellular signaling pathwaytraditional Chinese medicine

Identifiers

PMID31354479
PMCPMC6639427
OpenAlexW2960049296

What OpenQuestion 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 OpenQuestion graph.