Evidence map›Paper›PMID 38375035›Full record

ReviewFrontiers in pharmacology2024

Multiple roles of baicalin and baicalein in the regulation of colorectal cancer.

Jiamei Wang, Zihong Wu, Jiayuan Peng, Fengming You, Yifeng Ren, Xueke Li, Chong Xiao

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. IntegrativeDrug target insights
    Article
  12. Research Progress ofIntegrative cancer therapies
    Review
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

7 authors.

Jiamei WangHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zihong WuHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jiayuan PengHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Fengming YouHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yifeng RenOncology Teaching and Research Department of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xueke LiHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chong XiaoHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of colorectal cancer is increasing worldwide, and despite advances in treatment, colorectal cancer (CRC) remains in the top three for mortality due to several issues, including drug resistance and low efficiency. There is increasing evidence that baicalin and baicalein, novel small molecule inhibitor extracts of the Chinese herb Scutellaria baicalensis, have better anti-colorectal cancer effects and are less likely to induce drug resistance in cancer cells. The present review article explains the anti-proliferative properties of baicalin and baicalein in the context of against CRC. Additionally, it explores the underlying mechanisms by which these compounds modulate diverse signaling pathways associated with apoptosis, cell proliferation, tumor angiogenesis, invasion, metastasis, and tumor microenvironment. Moreover, this review article highlights the inhibitory effect of colorectal inflammatory-cancer transformation and the near-term therapeutic strategy of using them as adjuvant agents in chemotherapy.

Indexed as

apoptosisbaicaleinbaicalincolorectal cancersignaling pathways

Identifiers

PMID38375035
PMCPMC10875017

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.