Evidence map›Paper›PMID 37652479›Full record

ArticleIn vivo (Athens, Greece)

Renieramycin T Derivative DH_22 Induces p53-dependent Apoptosis in Lung Cancer Cells.

Indiana Gita Anggraeni, Zin Zin Ei, Daiki Hotta, Masashi Yokoya, Pithi Chanvorachote

Open access · diamondAbstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 2 countries.

Indiana Gita AnggraeniCenter of Excellence in Cancer Cell and Molecular Biology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand.
Zin Zin EiCenter of Excellence in Cancer Cell and Molecular Biology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand.
Daiki HottaGraduate Program of Pharmaceutical Sciences, Meiji Pharmaceutical University, Tokyo, Japan.
Masashi YokoyaGraduate Program of Pharmaceutical Sciences, Meiji Pharmaceutical University, Tokyo, Japan.
Pithi ChanvorachoteCenter of Excellence in Cancer Cell and Molecular Biology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand; pithi.c@chula.ac.th.
Chulalongkorn University · THMeiji Pharmaceutical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimTargeting apoptotic pathways has been identified as a promising strategy for the treatment of lung cancer. We synthesized a new derivative of renieramycin T (RT), named DH_22, and examined its anticancer activities in human lung cancer cells. MATERIALS AND

methodsThe RT derivative DH_22 was chemically modified from RT. The apoptosis-inducing effect was evaluated in A549 cells by annexin V-FITC/PI staining and nuclear staining assay (Hoechst/PI). In addition, the molecular pathway was analyzed by western blot analysis.

resultsIn the cell viability and nuclear staining tests, DH_22 was discovered to be cytotoxic with an IC

conclusionDH_22 has great potential for further development as a new anticancer drug.

Indexed as

Antineoplastic AgentsLung NeoplasmsApoptosisApoptosis Regulatory ProteinsCell Line, TumorCell ProliferationHumansTetrahydroisoquinolinesTumor Suppressor Protein p53Antineoplastic AgentsApoptosis Regulatory Proteinsrenieramycin TTetrahydroisoquinolinesTumor Suppressor Protein p53apoptosisDH_22lung cancerRenieramycin T derivative

Identifiers

PMID37652479
PMCPMC10500526
OpenAlexW4386337564

What OpenQuestion holds

Textmetadata
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.