Evidence map›Paper›PMID 40201307›Full record

ReviewCancer drug resistance (Alhambra, Calif.)2025

Research advances in natural sesquiterpene lactones: overcoming cancer drug resistance through modulation of key signaling pathways.

Chi Teng, Jia-Wen Chen, Li-Sha Shen, Sibao Chen, Guo-Qing Chen

Abstract readReview
In one paragraph

Review in Cancer drug resistance (Alhambra, Calif.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. In Vitro Anti-Cancer Effects ofJournal of evidence-based integrative medicine
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Cytotoxic and Antimicrobial Activity of theMolecules (Basel, Switzerland) · 2025
    Review
  10. 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

5 authors.

Chi TengCollege of Pharmacy, Shenzhen Technology University, Shenzhen 518118, Guangdong, China.
Jia-Wen ChenCollege of Pharmacy, Shenzhen Technology University, Shenzhen 518118, Guangdong, China.
Li-Sha ShenChongqing Academy of Chinese Materia Medica, Chongqing 400065, China.
Sibao ChenInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Guo-Qing ChenCollege of Pharmacy, Shenzhen Technology University, Shenzhen 518118, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer remains a significant global health challenge, with current chemotherapeutic strategies frequently limited by the emergence of resistance. In this context, natural compounds with the potential to overcome resistance have garnered considerable attention. Among these, sesquiterpene lactones, primarily derived from plants in the Asteraceae family, stand out for their potential anticancer properties. This review specifically focuses on five key signaling pathways: PI3K/Akt/mTOR, NF-κB, Wnt/β-catenin, MAPK/ERK, and STAT3, which play central roles in the mechanisms of cancer resistance. For each of these pathways, we detail their involvement in both cancer development and the emergence of drug resistance. Additionally, we investigate how sesquiterpene lactones modulate these pathways to overcome resistance across diverse cancer types. These insights highlight the potential of sesquiterpene lactones to drive the advancement of novel therapies that can effectively combat both cancer progression and drug resistance.

Indexed as

anticancerdrug resistancenatural productSesquiterpene lactone

Identifiers

PMID40201307
PMCPMC11977367

What OpenQuestion holds

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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.