Evidence map›Paper›PMID 36300093›Full record

ReviewFrontiers in oncology2022

Targeting aldehyde dehydrogenase for prostate cancer therapies.

Miao Ma, Wenyou He, Keyu Zhao, Linyuan Xue, Siyuan Xia, Baotong Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 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
0.6field-weighted citation impact, top 31% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

6 authors at 1 institution in 1 country.

Miao MaDepartment of Human Cell Biology and Genetics, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Wenyou HeDepartment of Human Cell Biology and Genetics, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Keyu ZhaoDepartment of Human Cell Biology and Genetics, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Linyuan XueDepartment of Human Cell Biology and Genetics, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Siyuan XiaDepartment of Human Cell Biology and Genetics, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Baotong ZhangDepartment of Human Cell Biology and Genetics, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Southern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the most common cancer in men in the United States. About 10 - 20% of PCa progress to castration-resistant PCa (CRPC), which is accompanied by metastasis and therapeutic resistance. Aldehyde dehydrogenase (ALDH) is famous as a marker of cancer stem-like cells in different cancer types, including PCa. Generally, ALDHs catalyze aldehyde oxidation into less toxic carboxylic acids and give cancers a survival advantage by reducing oxidative stress caused by aldehyde accumulation. In PCa, the expression of ALDHs is associated with a higher tumor stage and more lymph node metastasis. Functionally, increased ALDH activity makes PCa cells gain more capabilities in self-renewal and metastasis and reduces the sensitivity to castration and radiotherapy. Therefore, it is promising to target ALDH or ALDH

Indexed as

aldehyde dehydrogenasecancer stem-like cells (CSCs)drug resistanceprostate cancersignaling transductiontargeted therapy

Identifiers

PMID36300093
PMCPMC9589344
OpenAlexW4304161234

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.