Role of LncRNA MIR99AHG in breast cancer: Bioinformatic analysis and preliminary verification

Objective: This research was aimed to preliminarily explore the clinical roles and potential molecular mechanisms of MIR99AHG and its significant transcripts in breast cancer (BRCA). Methods: Public databases were utilized to analyze the expression and prognostic roles of MIR99AHG and its transcript...

Full description

Bibliographic Details
Main Authors: Wei Han, Chun-tao Shi, Hua Chen, Qin Zhou, Wei Ding, Fang Chen, Zhi-wei Liang, Ya-jie Teng, Qi-xiang Shao, Xiao-qiang Dong
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023070135
_version_ 1797669769511436288
author Wei Han
Chun-tao Shi
Hua Chen
Qin Zhou
Wei Ding
Fang Chen
Zhi-wei Liang
Ya-jie Teng
Qi-xiang Shao
Xiao-qiang Dong
author_facet Wei Han
Chun-tao Shi
Hua Chen
Qin Zhou
Wei Ding
Fang Chen
Zhi-wei Liang
Ya-jie Teng
Qi-xiang Shao
Xiao-qiang Dong
author_sort Wei Han
collection DOAJ
description Objective: This research was aimed to preliminarily explore the clinical roles and potential molecular mechanisms of MIR99AHG and its significant transcripts in breast cancer (BRCA). Methods: Public databases were utilized to analyze the expression and prognostic roles of MIR99AHG and its transcripts. Relationships between MIR99AHG expression and immune cells infiltration were analyzed in Xiantao platform. In addition, co-expressed genes and interacting proteins of MIR99AHG were predicted. CancerSEA analyzed its relationship with functional states. Next, CNV status, DNA methylation, interacting transcription factors (TFs) and ceRNA network were analyzed to explore its possible mechanisms. Then, RNA ISH and FISH assays were used to detect its expression and location in BRCA tissues and cell lines, respectively. Finally, qRT-PCR was utilized to investigate MIR99AHG expression in cell lines. Results: Compared with the corresponding normal tissues, MIR99AHG expression levels were lower in all BRCA subtypes, and luminal B's was the lowest one. And MIR99AHG expression was negatively related to the tumor stage. In addition, 4 transcripts (ENST00000619222.4, ENST00000418813.6, ENST00000602901.5 and ENST00000453910.5) of MIR99AHG showed significant differences in the expression. Databases also suggested that the high MIR99AHG expression levels indicated good prognosis, especially in patients without lymph node metastasis. Xiantao found that MIR99AHG was positively related to 17 immune cells and negatively linked with 2 immune cells. CancerSEA analysis showed no relationships between MIR99AHG and functional states. From GEPIA and BCIP databases, 19 co-expressed genes were highly related to these four significant transcripts of MIR99AHG. StarBase, RNAct and HDOCK showed that several tumor-associated proteins, including U2AF65, hnRNPC, AEBP2, CHIC1 and so on, might interact with MIR99AHG. Genetically, BRCA had a higher proportion of MIR99AHG CNV loss than CNV gain, and the high level of DNA methylation indicated a good prognosis. Furthermore, 19 TFs were predicted to combine with the promoter of MIR99AHG. Then, we screened out 10 miRNAs potentially interacting with the significant transcripts of MIR99AHG, and five were significantly increased in breast tumors compared to normal tissues, including miR-194–5p, miR-320 b and so on, which could combine 14 mRNAs. Through ISH and FISH assays, we verified that MIR99AHG was down-regulated in BRCA samples and cell lines in comparison to non-tumor tissues and mammary epithelial cell line (MCF10A), and MIR99AHG was located both in cytoplasm and nucleus. qRT-PCR assay also showed the lower expression of MIR99AHG in breast cancer cells than that in MCF10A. Conclusion: These results indicate that MIR99AHG can be a favorable prognostic indicator for BRCA. ENST00000619222.4, ENST00000418813.6, ENST00000602901.5 and ENST00000453910.5 are significant transcripts and their down-regulation may play crucial roles in the progression of BRCA.
first_indexed 2024-03-11T20:49:33Z
format Article
id doaj.art-572b2e515d594b8c99f057e7abd3c839
institution Directory Open Access Journal
issn 2405-8440
language English
last_indexed 2024-03-11T20:49:33Z
publishDate 2023-09-01
publisher Elsevier
record_format Article
series Heliyon
spelling doaj.art-572b2e515d594b8c99f057e7abd3c8392023-10-01T06:01:20ZengElsevierHeliyon2405-84402023-09-0199e19805Role of LncRNA MIR99AHG in breast cancer: Bioinformatic analysis and preliminary verificationWei Han0Chun-tao Shi1Hua Chen2Qin Zhou3Wei Ding4Fang Chen5Zhi-wei Liang6Ya-jie Teng7Qi-xiang Shao8Xiao-qiang Dong9Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, PR China; Department of General Surgery, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR ChinaDepartment of General Surgery, Wuxi Xishan People's Hospital, Wuxi, Jiangsu, 214000, PR ChinaDepartment of General Surgery, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR ChinaDepartment of General Surgery, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR ChinaUltrasonic Department, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR ChinaDepartment of Pathology, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR ChinaCentral Laboratory, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR ChinaCentral Laboratory, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, PR ChinaDepartment of Immunology, Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, PR China; Corresponding author.Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, PR China; Corresponding author.Objective: This research was aimed to preliminarily explore the clinical roles and potential molecular mechanisms of MIR99AHG and its significant transcripts in breast cancer (BRCA). Methods: Public databases were utilized to analyze the expression and prognostic roles of MIR99AHG and its transcripts. Relationships between MIR99AHG expression and immune cells infiltration were analyzed in Xiantao platform. In addition, co-expressed genes and interacting proteins of MIR99AHG were predicted. CancerSEA analyzed its relationship with functional states. Next, CNV status, DNA methylation, interacting transcription factors (TFs) and ceRNA network were analyzed to explore its possible mechanisms. Then, RNA ISH and FISH assays were used to detect its expression and location in BRCA tissues and cell lines, respectively. Finally, qRT-PCR was utilized to investigate MIR99AHG expression in cell lines. Results: Compared with the corresponding normal tissues, MIR99AHG expression levels were lower in all BRCA subtypes, and luminal B's was the lowest one. And MIR99AHG expression was negatively related to the tumor stage. In addition, 4 transcripts (ENST00000619222.4, ENST00000418813.6, ENST00000602901.5 and ENST00000453910.5) of MIR99AHG showed significant differences in the expression. Databases also suggested that the high MIR99AHG expression levels indicated good prognosis, especially in patients without lymph node metastasis. Xiantao found that MIR99AHG was positively related to 17 immune cells and negatively linked with 2 immune cells. CancerSEA analysis showed no relationships between MIR99AHG and functional states. From GEPIA and BCIP databases, 19 co-expressed genes were highly related to these four significant transcripts of MIR99AHG. StarBase, RNAct and HDOCK showed that several tumor-associated proteins, including U2AF65, hnRNPC, AEBP2, CHIC1 and so on, might interact with MIR99AHG. Genetically, BRCA had a higher proportion of MIR99AHG CNV loss than CNV gain, and the high level of DNA methylation indicated a good prognosis. Furthermore, 19 TFs were predicted to combine with the promoter of MIR99AHG. Then, we screened out 10 miRNAs potentially interacting with the significant transcripts of MIR99AHG, and five were significantly increased in breast tumors compared to normal tissues, including miR-194–5p, miR-320 b and so on, which could combine 14 mRNAs. Through ISH and FISH assays, we verified that MIR99AHG was down-regulated in BRCA samples and cell lines in comparison to non-tumor tissues and mammary epithelial cell line (MCF10A), and MIR99AHG was located both in cytoplasm and nucleus. qRT-PCR assay also showed the lower expression of MIR99AHG in breast cancer cells than that in MCF10A. Conclusion: These results indicate that MIR99AHG can be a favorable prognostic indicator for BRCA. ENST00000619222.4, ENST00000418813.6, ENST00000602901.5 and ENST00000453910.5 are significant transcripts and their down-regulation may play crucial roles in the progression of BRCA.http://www.sciencedirect.com/science/article/pii/S2405844023070135MIR99AHGBRCAPrognosisMolecular mechanismceRNATranscription factor
spellingShingle Wei Han
Chun-tao Shi
Hua Chen
Qin Zhou
Wei Ding
Fang Chen
Zhi-wei Liang
Ya-jie Teng
Qi-xiang Shao
Xiao-qiang Dong
Role of LncRNA MIR99AHG in breast cancer: Bioinformatic analysis and preliminary verification
Heliyon
MIR99AHG
BRCA
Prognosis
Molecular mechanism
ceRNA
Transcription factor
title Role of LncRNA MIR99AHG in breast cancer: Bioinformatic analysis and preliminary verification
title_full Role of LncRNA MIR99AHG in breast cancer: Bioinformatic analysis and preliminary verification
title_fullStr Role of LncRNA MIR99AHG in breast cancer: Bioinformatic analysis and preliminary verification
title_full_unstemmed Role of LncRNA MIR99AHG in breast cancer: Bioinformatic analysis and preliminary verification
title_short Role of LncRNA MIR99AHG in breast cancer: Bioinformatic analysis and preliminary verification
title_sort role of lncrna mir99ahg in breast cancer bioinformatic analysis and preliminary verification
topic MIR99AHG
BRCA
Prognosis
Molecular mechanism
ceRNA
Transcription factor
url http://www.sciencedirect.com/science/article/pii/S2405844023070135
work_keys_str_mv AT weihan roleoflncrnamir99ahginbreastcancerbioinformaticanalysisandpreliminaryverification
AT chuntaoshi roleoflncrnamir99ahginbreastcancerbioinformaticanalysisandpreliminaryverification
AT huachen roleoflncrnamir99ahginbreastcancerbioinformaticanalysisandpreliminaryverification
AT qinzhou roleoflncrnamir99ahginbreastcancerbioinformaticanalysisandpreliminaryverification
AT weiding roleoflncrnamir99ahginbreastcancerbioinformaticanalysisandpreliminaryverification
AT fangchen roleoflncrnamir99ahginbreastcancerbioinformaticanalysisandpreliminaryverification
AT zhiweiliang roleoflncrnamir99ahginbreastcancerbioinformaticanalysisandpreliminaryverification
AT yajieteng roleoflncrnamir99ahginbreastcancerbioinformaticanalysisandpreliminaryverification
AT qixiangshao roleoflncrnamir99ahginbreastcancerbioinformaticanalysisandpreliminaryverification
AT xiaoqiangdong roleoflncrnamir99ahginbreastcancerbioinformaticanalysisandpreliminaryverification