Evidence map›Paper›PMID 41158272›Full record

ArticleTranslational cancer research2025

Ke Shen, Xinhuai Dong, Chong Zeng, Caihong Wu, Guobiao Wu, Jianping Chen, Yansheng Yang, Fengmei Zhong, Yongsheng Huang, Liang Zhao

Abstract read
In one paragraph

Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Ke Shen *Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Xinhuai Dong *Medical Research Center, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China.
Chong Zeng *Medical Research Center, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China.
Caihong WuDepartment of Pathology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China.
Guobiao WuDepartment of Pathology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China.
Jianping ChenDepartment of Pathology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China.
Yansheng YangDepartment of Pathology, Raoping County Traditional Chinese Medicine Hospital, Chaozhou, China.
Fengmei ZhongDepartment of Pathology, The Eighth Affiliated Hospital of Southern Medical University (The First People's Hospital of Shunde, Foshan), Foshan, China.
Yongsheng Huang *Cellular & Molecular Diagnostics Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Liang Zhao *Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Beta-1,3-N-acetylglucosaminyltransferase 3 ( Methods: Public data were derived from The Cancer Genome Atlas (TCGA) program and The Genotype-Tissue Expression (GTEx) website. Data analysis relied on algorithms provided by websites designed for different functional purposes. We performed expression analysis, correlation analysis with pathological staging, survival analysis, and co-expression gene correlation analysis of Results: Conclusions: Pan-cancer analysis of

Indexed as

Beta-1,3-N-acetylglucosaminyltransferase 3 (B3GNT3)biomarkeroncogenicpan-cancerprognosis

Identifiers

PMID41158272
PMCPMC12554484

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.