Evidence map›Paper›PMID 35754502›Full record

ArticleFrontiers in pharmacology2022

Celastrol Inhibited Human Esophageal Cancer by Activating DR5-Dependent Extrinsic and Noxa/Bim-Dependent Intrinsic Apoptosis.

Xihui Chen, Shiwen Wang, Li Zhang, Shuying Yuan, Tong Xu, Feng Zhu, Yanmei Zhang, Lijun Jia

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. 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 3 institutions in 1 country.

Xihui ChenCancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shiwen WangCancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Li ZhangCancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shuying YuanCancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Tong XuCancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Feng ZhuCancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yanmei ZhangDepartment of Laboratory Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Lijun JiaCancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Huadong Hospital · CNLonghua Hospital Shanghai University of Traditional Chinese Medicine · CNShanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) is one of the deadliest digestive system cancers worldwide lacking effective therapeutic strategies. Recently, it has been found that the natural product celastrol plays an anti-cancer role in several human cancers by inducing cell cycle arrest and apoptosis. However, it remains elusive whether and how celastrol suppresses tumor growth of ESCC. In the present study, for the first time, we demonstrated that celastrol triggered both extrinsic and intrinsic apoptosis pathways to diminish the tumor growth of ESCC

Indexed as

celastrolesophageal squamous cell carcinoma (ESCC)extrinsic apoptosisintrinsic apoptosistumor growth

Identifiers

PMID35754502
PMCPMC9219015
OpenAlexW4281633618

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.