Evidence mapPaperPMID 38560274Full record

ReviewHeliyon2024

Abnormal expression of Krüppel-like transcription factors and their potential values in lung cancer.

Yang Shi, Min Yao, Shuijie Shen, Li Wang, Dengfu Yao

Open access · goldAbstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Yang ShiResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University & Department of Medical Immunology, Medical School of Nantong University, Nantong 226001, China.
Min YaoResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University & Department of Medical Immunology, Medical School of Nantong University, Nantong 226001, China.
Shuijie ShenResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University & Department of Medical Immunology, Medical School of Nantong University, Nantong 226001, China.
Li WangResearch Center for Intelligent Information Technology, Nantong University, Nantong 226019, Jiangsu, China.
Dengfu YaoResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University & Department of Medical Immunology, Medical School of Nantong University, Nantong 226001, China.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer still is one of the most common malignancy tumors in the world. However, the mechanisms of its occurrence and development have not been fully elucidated. Zinc finger protein family (ZNFs) is the largest transcription factor family in human genome. Recently, the more and more basic and clinical evidences have confirmed that ZNFs/Krüppel-like factors (KLFs) refer to a group of conserved zinc finger-containing transcription factors that are involved in lung cancer progression, with the functions of promotion, inhibition, dual roles and unknown classifications. Based on the recent literature, some of the oncogenic KLFs are promising molecular biomarkers for diagnosis, prognosis or therapeutic targets of lung cancer. Interestingly, a novel computational approach has been proposed by using machine learning on features calculated from primary sequences, the XGBoost-based model with accuracy of 96.4 % is efficient in identifying KLF proteins. This paper reviews the recent some progresses of the oncogenic KLFs with their potential values for diagnosis, prognosis and molecular target in lung cancer.

Indexed as

Krüppel-like factorsLung cancerRegulatory mechanismTargeted therapyTumor biomarkersZinc finger proteins

Identifiers

PMID38560274
PMCPMC10979174
OpenAlexW4393098242

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.