Evidence map›Paper›PMID 33752475›Full record

ArticleThe Journal of international medical research2021

Integrated bioinformatic analysis of HNF1A in human cancers.

Enfan Zhang, Xi Huang, Jingsong He

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Missense and Intronic Variants inInternational journal of medical sciences · 2026
    Article
  4. 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

3 authors at 1 institution in 1 country.

Enfan ZhangBone Marrow Transplantation Center, Department of Hematology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Xi HuangBone Marrow Transplantation Center, Department of Hematology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Jingsong HeBone Marrow Transplantation Center, Department of Hematology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-1190-1037
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCancer is a threat to human health, and many molecules are involved in the transformation of malignant cells. Hepatocyte nuclear factor 1A (HNF1A) is an important transcription factor that regulates multiple biological processes. Our research focused on elucidating the expression and function of HNF1A in cancer through bioinformatic analysis.

methodsUALCAN, Kaplan-Meier plotter, COSMIC, Tumor IMmune Estimation Resource, and Cancer Regulome were used to obtain relevant data for HNF1A.

resultsHNF1A was abnormally expressed in multiple cancers, and its expression was associated with differences in overall survival in patients with cancer. HNF1A mutations widely exist in tumors and interact with different genes involved in various processes. Additionally, we found that HNF1A was associated with the infiltration of immune cells, and it affected the prognostic value of these cells in some cancers.

conclusionsHNF1A plays a crucial role in cancer, and it may represent a biomarker and target for future cancer immunotherapy.

Indexed as

Hepatocyte Nuclear Factor 1-alphaNeoplasmsCell Line, TumorComputational BiologyHumansPrognosisHepatocyte Nuclear Factor 1-alphaHNF1A protein, humanbioinformaticsbiomarkercancerHepatocyte nuclear factor 1Aimmune cell infiltrationimmunotherapyprognosis

Identifiers

PMID33752475
PMCPMC7995467
OpenAlexW3137644208

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.