Evidence map›Paper›PMID 38628670›Full record

ReviewFrontiers in oncology2024

Natural products targeting autophagy and apoptosis in NSCLC: a novel therapeutic strategy.

Peiyi Qin, Qingchen Li, Qi Zu, Ruxue Dong, Yuanfu Qi

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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  9. mBio · 2025
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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

5 authors at 3 institutions in 1 country.

Peiyi QinFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Qingchen LiDepartment of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Qi ZuShandong College of Traditional Chinese Medicine, Yantai, Shandong, China.
Ruxue DongShandong College of Traditional Chinese Medicine, Yantai, Shandong, China.
Yuanfu QiDepartment of Oncology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Affiliated Hospital of Shandong University of Traditional Chinese Medicine · CNDalian Medical University · CNShandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related mortality worldwide, with non-small cell lung cancer (NSCLC) being the predominant type. The roles of autophagy and apoptosis in NSCLC present a dual and intricate nature. Additionally, autophagy and apoptosis interconnect through diverse crosstalk molecules. Owing to their multitargeting nature, safety, and efficacy, natural products have emerged as principal sources for NSCLC therapeutic candidates. This review begins with an exploration of the mechanisms of autophagy and apoptosis, proceeds to examine the crosstalk molecules between these processes, and outlines their implications and interactions in NSCLC. Finally, the paper reviews natural products that have been intensively studied against NSCLC targeting autophagy and apoptosis, and summarizes in detail the four most retrieved representative drugs. This paper clarifies good therapeutic effects of natural products in NSCLC by targeting autophagy and apoptosis and aims to promote greater consideration by researchers of natural products as candidates for anti-NSCLC drug discovery.

Indexed as

apoptosisautophagycrosstalknatural productsnon-small cell lung cancer (NSCLC)therapeutics

Identifiers

PMID38628670
PMCPMC11019012
OpenAlexW4393441890

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.