Evidence map›Paper›PMID 34456965›Full record

ArticleFrontiers in genetics2021

SEC23A Is an Independent Prognostic Biomarker in Bladder Cancer Correlated With MAPK Signaling.

Bin Zeng, Qiting Zhao, Zhiwei Sun, Doudou Liu, Hao Chen, Xiaoshuang Li, Jianyu Wang, H Rosie Xing

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. 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
1.3field-weighted citation impact, top 20% 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, 19 citations in OpenAlex.

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  8. Low TINAGL1 expression is a marker for poor prognosis in breast cancer.Journal of cancer research and clinical oncology · 2023
    Article
  9. IncreasedCancers · 2023
    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 1 institution in 1 country.

Bin ZengInstitute of Life Sciences, Chongqing Medical University, Chongqing, China.
Qiting ZhaoInstitute of Life Sciences, Chongqing Medical University, Chongqing, China.
Zhiwei SunInstitute of Life Sciences, Chongqing Medical University, Chongqing, China.
Doudou LiuState Key Laboratory of Ultrasound Engineering in Medicine Co-Founded By Chongqing and the Ministry of Science and Technology, School of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Hao ChenState Key Laboratory of Ultrasound Engineering in Medicine Co-Founded By Chongqing and the Ministry of Science and Technology, School of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Xiaoshuang LiState Key Laboratory of Ultrasound Engineering in Medicine Co-Founded By Chongqing and the Ministry of Science and Technology, School of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Jianyu WangInstitute of Life Sciences, Chongqing Medical University, Chongqing, China.
H Rosie XingState Key Laboratory of Ultrasound Engineering in Medicine Co-Founded By Chongqing and the Ministry of Science and Technology, School of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical data mining and bioinformatics analysis can be employed effectively to elucidate the function and underlying mechanisms of the gene of interest. Here, we have proposed a framework for the identification and validation of independent biomarkers in human cancer and for mechanistic profiling using gene sets enrichment analysis and pathway analysis. This is followed by validation with

Indexed as

biomarkerbladder cancerMAPKMEF2ASEC23A

Identifiers

PMID34456965
PMCPMC8385657
OpenAlexW3193276121

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.