Evidence map›Paper›PMID 33747212›Full record

ArticleOncology letters2021

Transcriptome analysis of sinensetin-treated liver cancer cells guided by biological network analysis.

Seong Min Kim, Shailima Rampogu, Preethi Vetrivel, Apoorva M Kulkarni, Sang Eun Ha, Hun Hwan Kim, Keun Woo Lee, Gon Sup Kim

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2021. 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
0.4field-weighted citation impact, top 42% 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. Article
  4. 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

8 authors at 1 institution in 1 country.

Seong Min KimResearch Institute of Life Science and College of Veterinary Medicine, Gyeongsang National University, Jinju, Gyeongsangnam 52828, Republic of Korea.
Shailima RampoguDivision of Life Science, Division of Applied Life Science (BK21 Plus), Plant Molecular Biology and Biotechnology Research Center, Research Institute of Natural Science, Gyeongsang National University, Jinju, Gyeongsangnam 52828, Republic of Korea.
Preethi VetrivelResearch Institute of Life Science and College of Veterinary Medicine, Gyeongsang National University, Jinju, Gyeongsangnam 52828, Republic of Korea.
Apoorva M KulkarniDivision of Life Science, Division of Applied Life Science (BK21 Plus), Plant Molecular Biology and Biotechnology Research Center, Research Institute of Natural Science, Gyeongsang National University, Jinju, Gyeongsangnam 52828, Republic of Korea.
Sang Eun HaResearch Institute of Life Science and College of Veterinary Medicine, Gyeongsang National University, Jinju, Gyeongsangnam 52828, Republic of Korea.
Hun Hwan KimResearch Institute of Life Science and College of Veterinary Medicine, Gyeongsang National University, Jinju, Gyeongsangnam 52828, Republic of Korea.
Keun Woo LeeDivision of Life Science, Division of Applied Life Science (BK21 Plus), Plant Molecular Biology and Biotechnology Research Center, Research Institute of Natural Science, Gyeongsang National University, Jinju, Gyeongsangnam 52828, Republic of Korea.
Gon Sup KimResearch Institute of Life Science and College of Veterinary Medicine, Gyeongsang National University, Jinju, Gyeongsangnam 52828, Republic of Korea.
Gyeongsang National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma is recognized as one of the most frequently occurring malignant types of liver cancer globally, making the identification of biomarkers critically important. The aim of the present study was to identify the genes involved in the anticancer effects of flavonoid compounds so that they may be used as targets for cancer treatment. Sinensetin (SIN), an isolated polymethoxyflavone monomer compound, possesses broad antitumor activities

Indexed as

liver cancerRNA sequencingsinensetintranscriptome

Identifiers

PMID33747212
PMCPMC7968004
OpenAlexW3133886678

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.