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

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 cl...

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Main Authors: Yang Shi, Min Yao, Shuijie Shen, Li Wang, Dengfu Yao
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024043238
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author Yang Shi
Min Yao
Shuijie Shen
Li Wang
Dengfu Yao
author_facet Yang Shi
Min Yao
Shuijie Shen
Li Wang
Dengfu Yao
author_sort Yang Shi
collection DOAJ
description 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.
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spelling doaj.art-aa6cf20031c34d6eb83d661d4295ab752024-03-26T04:26:51ZengElsevierHeliyon2405-84402024-04-01107e28292Abnormal expression of Krüppel-like transcription factors and their potential values in lung cancerYang Shi0Min Yao1Shuijie Shen2Li Wang3Dengfu Yao4Research Center of Clinical Medicine, Affiliated Hospital of Nantong University & Department of Medical Immunology, Medical School of Nantong University, Nantong 226001, China; Department of Thoracic Surgery, First People's Hospital of Yancheng, Yancheng 224001, ChinaResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University & Department of Medical Immunology, Medical School of Nantong University, Nantong 226001, ChinaResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University & Department of Medical Immunology, Medical School of Nantong University, Nantong 226001, ChinaResearch Center for Intelligent Information Technology, Nantong University, Nantong 226019, Jiangsu, China; Corresponding author.Research Center of Clinical Medicine, Affiliated Hospital of Nantong University & Department of Medical Immunology, Medical School of Nantong University, Nantong 226001, China; Corresponding author. Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, 20 West Temple Road, Nantong 226001, Jiangsu, China.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.http://www.sciencedirect.com/science/article/pii/S2405844024043238Lung cancerKrüppel-like factorsZinc finger proteinsRegulatory mechanismTumor biomarkersTargeted therapy
spellingShingle Yang Shi
Min Yao
Shuijie Shen
Li Wang
Dengfu Yao
Abnormal expression of Krüppel-like transcription factors and their potential values in lung cancer
Heliyon
Lung cancer
Krüppel-like factors
Zinc finger proteins
Regulatory mechanism
Tumor biomarkers
Targeted therapy
title Abnormal expression of Krüppel-like transcription factors and their potential values in lung cancer
title_full Abnormal expression of Krüppel-like transcription factors and their potential values in lung cancer
title_fullStr Abnormal expression of Krüppel-like transcription factors and their potential values in lung cancer
title_full_unstemmed Abnormal expression of Krüppel-like transcription factors and their potential values in lung cancer
title_short Abnormal expression of Krüppel-like transcription factors and their potential values in lung cancer
title_sort abnormal expression of kruppel like transcription factors and their potential values in lung cancer
topic Lung cancer
Krüppel-like factors
Zinc finger proteins
Regulatory mechanism
Tumor biomarkers
Targeted therapy
url http://www.sciencedirect.com/science/article/pii/S2405844024043238
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AT minyao abnormalexpressionofkruppelliketranscriptionfactorsandtheirpotentialvaluesinlungcancer
AT shuijieshen abnormalexpressionofkruppelliketranscriptionfactorsandtheirpotentialvaluesinlungcancer
AT liwang abnormalexpressionofkruppelliketranscriptionfactorsandtheirpotentialvaluesinlungcancer
AT dengfuyao abnormalexpressionofkruppelliketranscriptionfactorsandtheirpotentialvaluesinlungcancer