Evidence map›Paper›PMID 36824434›Full record

ArticleFrontiers in genetics2023

Identification and vitro verification of the potential drug targets of active ingredients of Chonglou in the treatment of lung adenocarcinoma based on EMT-related genes.

Fulai Zhao, Peng Zhao, Junli Chang, Xingyuan Sun, Xiaoping Ma, Binhao Shi, Mengchen Yin, Yongjun Wang, Yanping Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 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
0.5field-weighted citation impact, top 34% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  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

9 authors at 1 institution in 1 country.

Fulai ZhaoLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Peng ZhaoLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Junli ChangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xingyuan SunLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xiaoping MaLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Binhao ShiLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Mengchen YinLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yongjun WangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yanping YangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ministry of Education of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD) is the main histological type of lung cancer with an unfavorable survival rate. Metastasis is the leading LUAD-related death with Epithelial-Mesenchymal Transition (EMT) playing an essential role. The anticancer efficacies of the active ingredients in Chonglou have been widely reported in various cancers. However, the potential therapeutic targets of the Chonglou active ingredients in LUAD patients remain unknown. Here, the network pharmacology and bioinformatics were performed to analyze the associations of the clinical characteristics, immune infiltration factors and m

Indexed as

active ingredients in Chongloubioinformaticsdrug targetsEpithelial-Mesenchymal Transitionlung adenocarcinomanetwork pharmacology

Identifiers

PMID36824434
PMCPMC9942681
OpenAlexW4319346360

What OpenQuestion 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 OpenQuestion graph.