Evidence map›Paper›PMID 34257525›Full record

ArticlePathology oncology research : POR2021

Expression, Prognosis and Gene Regulation Network of NFAT Transcription Factors in Non-Small Cell Lung Cancer.

Jin Ma, Rao Du, Yan Huang, Wen Zhong, Huan Gui, Chenmei Mao, Xiudao Song, Jun Lu

Open access · goldAbstract read
In one paragraph

Article in Pathology oncology research : POR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. How does NFAT3 regulate the occurrence of cardiac hypertrophy?International journal of cardiology. Heart & vasculature · 2023
    Review
  6. 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 2 institutions in 1 country.

Jin MaDepartment of Pharmacy, Children's Hospital of Soochow University, Suzhou, China.
Rao DuDepartment of Pharmacy, Children's Hospital of Soochow University, Suzhou, China.
Yan HuangDepartment of Pharmacy, Children's Hospital of Soochow University, Suzhou, China.
Wen ZhongDepartment of Pharmacy, Children's Hospital of Soochow University, Suzhou, China.
Huan GuiDepartment of Pharmacy, Children's Hospital of Soochow University, Suzhou, China.
Chenmei MaoDepartment of Pharmacy, Children's Hospital of Soochow University, Suzhou, China.
Xiudao SongClinical Pharmaceutical Laboratory of Traditional Chinese Medicine, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, China.
Jun LuDepartment of Haematology, Children's Hospital of Soochow University, Suzhou, China.
Soochow University · CNSuzhou Traditional Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related death worldwide. The nuclear factor of activated T cells (NFAT) family is implicated in tumorigenesis and progression in various types of cancer. However, little is known about their expression patterns, distinct prognostic values, and potential regulatory networks in NSCLC. In this study, we comprehensively analyzed the distinct expression and prognostic value of

Indexed as

Gene Regulatory NetworksBiomarkers, TumorCarcinoma, Non-Small-Cell LungDatabases, GeneticGene ExpressionGene Expression Regulation, NeoplasticHumansLung NeoplasmsNFATC Transcription FactorsPrognosisRNA, MessengerBiomarkers, TumorNFATC Transcription FactorsRNA, Messengerbioinformatics analysisgene expressionNFATsnon-small cell lung cancerprognosis

Identifiers

PMID34257525
PMCPMC8262184
OpenAlexW3156677323

What Socratic 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 Socratic graph.