Evidence map›Paper›PMID 34102915›Full record

ArticleMolecular pain

Contribution of TRESK two-pore domain potassium channel to bone cancer-induced spontaneous pain and evoked cutaneous pain in rats.

Jiang-Ping Liu, Hong-Bo Jing, Ke Xi, Zi-Xian Zhang, Zi-Run Jin, Si-Qing Cai, Yue Tian, Jie Cai, Guo-Gang Xing

Open access · goldAbstract read
In one paragraph

Article in Molecular pain. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Cancer pain.Nature reviews. Disease primers · 2026
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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.

Jiang-Ping LiuDepartment of Neurobiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Hong-Bo JingDepartment of Neurobiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Ke XiDepartment of Neurobiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Zi-Xian ZhangDepartment of Neurobiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Zi-Run JinDepartment of Neurobiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Si-Qing CaiDepartment of Neurobiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Yue TianDepartment of Neurobiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Jie CaiDepartment of Neurobiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Guo-Gang XingDepartment of Neurobiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.ORCID 0000-0001-5670-4857
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer-associated pain is debilitating. However, the mechanism underlying cancer-induced spontaneous pain and evoked pain remains unclear. Here, using behavioral tests with immunofluorescent staining, overexpression, and knockdown of TRESK methods, we found an extensive distribution of TRESK potassium channel on both CGRP

Indexed as

Bone NeoplasmsPotassium ChannelsAnimalsGanglia, SpinalPainRatsRats, Sprague-DawleyKcnk18 protein, ratPotassium Channelsbone cancer paincancer-induced cutaneous paincancer-induced skeletal painCGRPDRGIB4TRESK

Identifiers

PMID34102915
PMCPMC8193666
OpenAlexW3167620636

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.