Evidence map›Paper›PMID 37408176›Full record

ArticleCancer biology & therapy2023

Tanshinone I suppresses hepatocellular carcinoma cells growth through targeting DNA double-strand break repair.

Zhen Qian, Nannan Feng, Anke Geng

Open access · goldAbstract read
In one paragraph

Article in Cancer biology & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

3 authors at 2 institutions in 1 country.

Zhen QianSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Nannan FengSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-0212-6171
Anke GengShanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, China.ORCID 0000-0002-9459-0480
Shanghai Jiao Tong University · CNShanghai First Maternity and Infant Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common types of malignant tumors with increasing incidence rates and high mortality rates. The currently available methods for treating HCC include surgery, radiotherapy or chemotherapy, but all of them have limitations. Therefore, developing novel therapeutic methods for HCC is in great need. Here, in this study, we found that tanshinone I, a small molecule compound, inhibited the proliferation of HCC cells in a dose-dependent manner. We also observed that Tanshinone I destabilized genomes by inhibiting both NHEJ and HR repair pathways, which are responsible for repairing DNA double strand breaks (DSBs). Mechanistically, this compound suppressed the expression of 53BP1, and the recruitment of RPA2 to DNA damage sites. Importantly, we demonstrated that combining Tanshinone I with radiotherapy exhibited better therapeutic potential for treating HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAbietanesDNADNA Breaks, Double-StrandedDNA End-Joining RepairDNA RepairHumansRecombinational DNA RepairAbietanesDNAtanshinoneDouble strand break repairHepatocellular carcinoma (HCC)Homologous recombinationNon-homologous end joiningTanshinone I

Identifiers

PMID37408176
PMCPMC10324423
OpenAlexW4383302619

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.