Evidence map›Paper›PMID 38293978›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2024

[A pan-cancer analysis of TTC9A expression level and its correlation with prognosis and immune microenvironment].

Y Yao, J Liu, X Zhou, Z Liu, S Qiu, Y He, X Zhou

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Y YaoDepartment of Occupational Health and Medicine, Guangzhou 510515, China.
J LiuDepartment of Occupational Health and Medicine, Guangzhou 510515, China.
X ZhouDepartment of Occupational Health and Medicine, Guangzhou 510515, China.
Z LiuDepartment of Occupational Health and Medicine, Guangzhou 510515, China.
S QiuDepartment of Occupational Health and Medicine, Guangzhou 510515, China.
Y HeDepartment of Occupational Health and Medicine, Guangzhou 510515, China.
X ZhouDepartment of Occupational Health and Medicine, Guangzhou 510515, China.
Department of Health of Guangdong Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the expression level of tetratricopeptide repeat protein 9A in tumors and its association with the patients' prognosis and immune infiltration.

methodsTTC9A expression in different tumor tissues and its association with prognosis, DNA methylation, tumor mutation burden (TMB), and microsatellite instability (MSI) were analyzed based on data from TCGA and GTEx. TIMER and xCell were used to analyze the relationship between TTC9A expression and immune infiltration. Western blotting and RT-qPCR were used to detect the expression of TTC9A in 4 types of cancer cell lines.

resultsTTC9A expressions were significantly increased in many tumors and down-regulated in a few cancer types (

conclusionTTC9A can be used as a prognostic marker for a variety of cancers and is strongly associated with TBM, MSI and immune cell infiltration.

Indexed as

AdenocarcinomaCarcinoma, Renal CellCarcinoma, Squamous CellEndometrial NeoplasmsGliomaKidney NeoplasmsLung NeoplasmsPancreatic NeoplasmsFemaleHumansNerve Tissue ProteinsPrognosisTumor MicroenvironmentNerve Tissue ProteinsTTC9 protein, humanimmune microenvironmentpan-cancer analysisprognosisTTC9A

Identifiers

PMID38293978
PMCPMC10878901
OpenAlexW4394764469

What OpenQuestion holds

Textmetadata
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.