Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value

Background Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Hong, Shihao [verfasserIn] Fu, Ni Sang, Shanliang Ma, Xudong Sun, Fangying Zhang, Xiao

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Ovarian cancer IRF6 Prognosis marker WCGNA Bioinformatics

Anmerkung:	© The Author(s) 2024

Übergeordnetes Werk:	Enthalten in: Journal of ovarian research - BioMed Central, 2008, 17(2024), 1 vom: 16. März
Übergeordnetes Werk:	volume:17 ; year:2024 ; number:1 ; day:16 ; month:03

Links:	Volltext

DOI / URN:	10.1186/s13048-024-01386-4

Katalog-ID:	SPR055183980

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520			\|a Background Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel biomarkers for OC and their pathogenic causes. Methods The present study used the differentially expressed genes (DEGs) obtained from the “Limma” package and WGCNA modules for intersection analysis to obtain DEGs in OC. Three hub genes were identified—claudin 3 (CLDN3), interferon regulatory factor 6 (IRF6), and prostasin (PRSS8)—by searching for hub genes through the PPI network and verifying them in GSE14407, GSE18520, GSE66957, and TCGA + GTEx databases. The correlation between IRF6 and the prognosis of OC patients was further confirmed in Kaplan-Miller Plotter. RT-qPCR and IHC confirmed the RNA and protein levels of IRF6 in the OC samples. The effect of IRF6 on OC was explored using transwell invasion and scratch wound assays. Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity. Results The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion. Conclusion IRF6 is closely correlated with OC development and progression and could be considered a novel biomarker and therapeutic target for OC patients.
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allfields	10.1186/s13048-024-01386-4 doi (DE-627)SPR055183980 (SPR)s13048-024-01386-4-e DE-627 ger DE-627 rakwb eng 610 VZ Hong, Shihao verfasserin aut Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel biomarkers for OC and their pathogenic causes. Methods The present study used the differentially expressed genes (DEGs) obtained from the “Limma” package and WGCNA modules for intersection analysis to obtain DEGs in OC. Three hub genes were identified—claudin 3 (CLDN3), interferon regulatory factor 6 (IRF6), and prostasin (PRSS8)—by searching for hub genes through the PPI network and verifying them in GSE14407, GSE18520, GSE66957, and TCGA + GTEx databases. The correlation between IRF6 and the prognosis of OC patients was further confirmed in Kaplan-Miller Plotter. RT-qPCR and IHC confirmed the RNA and protein levels of IRF6 in the OC samples. The effect of IRF6 on OC was explored using transwell invasion and scratch wound assays. Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity. Results The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion. Conclusion IRF6 is closely correlated with OC development and progression and could be considered a novel biomarker and therapeutic target for OC patients. Ovarian cancer (dpeaa)DE-He213 IRF6 (dpeaa)DE-He213 Prognosis marker (dpeaa)DE-He213 WCGNA (dpeaa)DE-He213 Bioinformatics (dpeaa)DE-He213 Fu, Ni aut Sang, Shanliang aut Ma, Xudong aut Sun, Fangying aut Zhang, Xiao aut Enthalten in Journal of ovarian research BioMed Central, 2008 17(2024), 1 vom: 16. März (DE-627)581041070 (DE-600)2455679-8 1757-2215 nnns volume:17 year:2024 number:1 day:16 month:03 https://dx.doi.org/10.1186/s13048-024-01386-4 kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2024 1 16 03
spelling	10.1186/s13048-024-01386-4 doi (DE-627)SPR055183980 (SPR)s13048-024-01386-4-e DE-627 ger DE-627 rakwb eng 610 VZ Hong, Shihao verfasserin aut Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel biomarkers for OC and their pathogenic causes. Methods The present study used the differentially expressed genes (DEGs) obtained from the “Limma” package and WGCNA modules for intersection analysis to obtain DEGs in OC. Three hub genes were identified—claudin 3 (CLDN3), interferon regulatory factor 6 (IRF6), and prostasin (PRSS8)—by searching for hub genes through the PPI network and verifying them in GSE14407, GSE18520, GSE66957, and TCGA + GTEx databases. The correlation between IRF6 and the prognosis of OC patients was further confirmed in Kaplan-Miller Plotter. RT-qPCR and IHC confirmed the RNA and protein levels of IRF6 in the OC samples. The effect of IRF6 on OC was explored using transwell invasion and scratch wound assays. Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity. Results The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion. Conclusion IRF6 is closely correlated with OC development and progression and could be considered a novel biomarker and therapeutic target for OC patients. Ovarian cancer (dpeaa)DE-He213 IRF6 (dpeaa)DE-He213 Prognosis marker (dpeaa)DE-He213 WCGNA (dpeaa)DE-He213 Bioinformatics (dpeaa)DE-He213 Fu, Ni aut Sang, Shanliang aut Ma, Xudong aut Sun, Fangying aut Zhang, Xiao aut Enthalten in Journal of ovarian research BioMed Central, 2008 17(2024), 1 vom: 16. März (DE-627)581041070 (DE-600)2455679-8 1757-2215 nnns volume:17 year:2024 number:1 day:16 month:03 https://dx.doi.org/10.1186/s13048-024-01386-4 kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2024 1 16 03
allfields_unstemmed	10.1186/s13048-024-01386-4 doi (DE-627)SPR055183980 (SPR)s13048-024-01386-4-e DE-627 ger DE-627 rakwb eng 610 VZ Hong, Shihao verfasserin aut Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel biomarkers for OC and their pathogenic causes. Methods The present study used the differentially expressed genes (DEGs) obtained from the “Limma” package and WGCNA modules for intersection analysis to obtain DEGs in OC. Three hub genes were identified—claudin 3 (CLDN3), interferon regulatory factor 6 (IRF6), and prostasin (PRSS8)—by searching for hub genes through the PPI network and verifying them in GSE14407, GSE18520, GSE66957, and TCGA + GTEx databases. The correlation between IRF6 and the prognosis of OC patients was further confirmed in Kaplan-Miller Plotter. RT-qPCR and IHC confirmed the RNA and protein levels of IRF6 in the OC samples. The effect of IRF6 on OC was explored using transwell invasion and scratch wound assays. Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity. Results The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion. Conclusion IRF6 is closely correlated with OC development and progression and could be considered a novel biomarker and therapeutic target for OC patients. Ovarian cancer (dpeaa)DE-He213 IRF6 (dpeaa)DE-He213 Prognosis marker (dpeaa)DE-He213 WCGNA (dpeaa)DE-He213 Bioinformatics (dpeaa)DE-He213 Fu, Ni aut Sang, Shanliang aut Ma, Xudong aut Sun, Fangying aut Zhang, Xiao aut Enthalten in Journal of ovarian research BioMed Central, 2008 17(2024), 1 vom: 16. März (DE-627)581041070 (DE-600)2455679-8 1757-2215 nnns volume:17 year:2024 number:1 day:16 month:03 https://dx.doi.org/10.1186/s13048-024-01386-4 kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2024 1 16 03
allfieldsGer	10.1186/s13048-024-01386-4 doi (DE-627)SPR055183980 (SPR)s13048-024-01386-4-e DE-627 ger DE-627 rakwb eng 610 VZ Hong, Shihao verfasserin aut Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel biomarkers for OC and their pathogenic causes. Methods The present study used the differentially expressed genes (DEGs) obtained from the “Limma” package and WGCNA modules for intersection analysis to obtain DEGs in OC. Three hub genes were identified—claudin 3 (CLDN3), interferon regulatory factor 6 (IRF6), and prostasin (PRSS8)—by searching for hub genes through the PPI network and verifying them in GSE14407, GSE18520, GSE66957, and TCGA + GTEx databases. The correlation between IRF6 and the prognosis of OC patients was further confirmed in Kaplan-Miller Plotter. RT-qPCR and IHC confirmed the RNA and protein levels of IRF6 in the OC samples. The effect of IRF6 on OC was explored using transwell invasion and scratch wound assays. Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity. Results The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion. Conclusion IRF6 is closely correlated with OC development and progression and could be considered a novel biomarker and therapeutic target for OC patients. Ovarian cancer (dpeaa)DE-He213 IRF6 (dpeaa)DE-He213 Prognosis marker (dpeaa)DE-He213 WCGNA (dpeaa)DE-He213 Bioinformatics (dpeaa)DE-He213 Fu, Ni aut Sang, Shanliang aut Ma, Xudong aut Sun, Fangying aut Zhang, Xiao aut Enthalten in Journal of ovarian research BioMed Central, 2008 17(2024), 1 vom: 16. März (DE-627)581041070 (DE-600)2455679-8 1757-2215 nnns volume:17 year:2024 number:1 day:16 month:03 https://dx.doi.org/10.1186/s13048-024-01386-4 kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2024 1 16 03
allfieldsSound	10.1186/s13048-024-01386-4 doi (DE-627)SPR055183980 (SPR)s13048-024-01386-4-e DE-627 ger DE-627 rakwb eng 610 VZ Hong, Shihao verfasserin aut Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Background Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel biomarkers for OC and their pathogenic causes. Methods The present study used the differentially expressed genes (DEGs) obtained from the “Limma” package and WGCNA modules for intersection analysis to obtain DEGs in OC. Three hub genes were identified—claudin 3 (CLDN3), interferon regulatory factor 6 (IRF6), and prostasin (PRSS8)—by searching for hub genes through the PPI network and verifying them in GSE14407, GSE18520, GSE66957, and TCGA + GTEx databases. The correlation between IRF6 and the prognosis of OC patients was further confirmed in Kaplan-Miller Plotter. RT-qPCR and IHC confirmed the RNA and protein levels of IRF6 in the OC samples. The effect of IRF6 on OC was explored using transwell invasion and scratch wound assays. Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity. Results The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion. Conclusion IRF6 is closely correlated with OC development and progression and could be considered a novel biomarker and therapeutic target for OC patients. Ovarian cancer (dpeaa)DE-He213 IRF6 (dpeaa)DE-He213 Prognosis marker (dpeaa)DE-He213 WCGNA (dpeaa)DE-He213 Bioinformatics (dpeaa)DE-He213 Fu, Ni aut Sang, Shanliang aut Ma, Xudong aut Sun, Fangying aut Zhang, Xiao aut Enthalten in Journal of ovarian research BioMed Central, 2008 17(2024), 1 vom: 16. März (DE-627)581041070 (DE-600)2455679-8 1757-2215 nnns volume:17 year:2024 number:1 day:16 month:03 https://dx.doi.org/10.1186/s13048-024-01386-4 kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2024 1 16 03
language	English
source	Enthalten in Journal of ovarian research 17(2024), 1 vom: 16. März volume:17 year:2024 number:1 day:16 month:03
sourceStr	Enthalten in Journal of ovarian research 17(2024), 1 vom: 16. März volume:17 year:2024 number:1 day:16 month:03
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institution	findex.gbv.de
topic_facet	Ovarian cancer IRF6 Prognosis marker WCGNA Bioinformatics
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container_title	Journal of ovarian research
authorswithroles_txt_mv	Hong, Shihao @@aut@@ Fu, Ni @@aut@@ Sang, Shanliang @@aut@@ Ma, Xudong @@aut@@ Sun, Fangying @@aut@@ Zhang, Xiao @@aut@@
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Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity. Results The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion. 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author	Hong, Shihao
spellingShingle	Hong, Shihao ddc 610 misc Ovarian cancer misc IRF6 misc Prognosis marker misc WCGNA misc Bioinformatics Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value
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topic_title	610 VZ Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value Ovarian cancer (dpeaa)DE-He213 IRF6 (dpeaa)DE-He213 Prognosis marker (dpeaa)DE-He213 WCGNA (dpeaa)DE-He213 Bioinformatics (dpeaa)DE-He213
topic	ddc 610 misc Ovarian cancer misc IRF6 misc Prognosis marker misc WCGNA misc Bioinformatics
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title	Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value
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title_full	Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value
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title_sort	identification and validation of irf6 related to ovarian cancer and biological function and prognostic value
title_auth	Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value
abstract	Background Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel biomarkers for OC and their pathogenic causes. Methods The present study used the differentially expressed genes (DEGs) obtained from the “Limma” package and WGCNA modules for intersection analysis to obtain DEGs in OC. Three hub genes were identified—claudin 3 (CLDN3), interferon regulatory factor 6 (IRF6), and prostasin (PRSS8)—by searching for hub genes through the PPI network and verifying them in GSE14407, GSE18520, GSE66957, and TCGA + GTEx databases. The correlation between IRF6 and the prognosis of OC patients was further confirmed in Kaplan-Miller Plotter. RT-qPCR and IHC confirmed the RNA and protein levels of IRF6 in the OC samples. The effect of IRF6 on OC was explored using transwell invasion and scratch wound assays. Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity. Results The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion. Conclusion IRF6 is closely correlated with OC development and progression and could be considered a novel biomarker and therapeutic target for OC patients. © The Author(s) 2024
abstractGer	Background Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel biomarkers for OC and their pathogenic causes. Methods The present study used the differentially expressed genes (DEGs) obtained from the “Limma” package and WGCNA modules for intersection analysis to obtain DEGs in OC. Three hub genes were identified—claudin 3 (CLDN3), interferon regulatory factor 6 (IRF6), and prostasin (PRSS8)—by searching for hub genes through the PPI network and verifying them in GSE14407, GSE18520, GSE66957, and TCGA + GTEx databases. The correlation between IRF6 and the prognosis of OC patients was further confirmed in Kaplan-Miller Plotter. RT-qPCR and IHC confirmed the RNA and protein levels of IRF6 in the OC samples. The effect of IRF6 on OC was explored using transwell invasion and scratch wound assays. Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity. Results The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion. Conclusion IRF6 is closely correlated with OC development and progression and could be considered a novel biomarker and therapeutic target for OC patients. © The Author(s) 2024
abstract_unstemmed	Background Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel biomarkers for OC and their pathogenic causes. Methods The present study used the differentially expressed genes (DEGs) obtained from the “Limma” package and WGCNA modules for intersection analysis to obtain DEGs in OC. Three hub genes were identified—claudin 3 (CLDN3), interferon regulatory factor 6 (IRF6), and prostasin (PRSS8)—by searching for hub genes through the PPI network and verifying them in GSE14407, GSE18520, GSE66957, and TCGA + GTEx databases. The correlation between IRF6 and the prognosis of OC patients was further confirmed in Kaplan-Miller Plotter. RT-qPCR and IHC confirmed the RNA and protein levels of IRF6 in the OC samples. The effect of IRF6 on OC was explored using transwell invasion and scratch wound assays. Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity. Results The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion. Conclusion IRF6 is closely correlated with OC development and progression and could be considered a novel biomarker and therapeutic target for OC patients. © The Author(s) 2024
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title_short	Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value
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author2	Fu, Ni Sang, Shanliang Ma, Xudong Sun, Fangying Zhang, Xiao
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up_date	2024-07-03T13:54:45.275Z
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The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous OC lacks effective biomarkers. We aimed to identify novel biomarkers for OC and their pathogenic causes. Methods The present study used the differentially expressed genes (DEGs) obtained from the “Limma” package and WGCNA modules for intersection analysis to obtain DEGs in OC. Three hub genes were identified—claudin 3 (CLDN3), interferon regulatory factor 6 (IRF6), and prostasin (PRSS8)—by searching for hub genes through the PPI network and verifying them in GSE14407, GSE18520, GSE66957, and TCGA + GTEx databases. The correlation between IRF6 and the prognosis of OC patients was further confirmed in Kaplan-Miller Plotter. RT-qPCR and IHC confirmed the RNA and protein levels of IRF6 in the OC samples. The effect of IRF6 on OC was explored using transwell invasion and scratch wound assays. Finally, we constructed a ceRNA network of hub genes and used bioinformatics tools to predict drug sensitivity. Results The joint analysis results of TCGA, GTEx, and GEO databases indicated that IRF6 RNA and protein levels were significantly upregulated in serous OC and were associated with OS and PFS. Cell function experiments revealed that IRF6 knockdown inhibited SKOV3 cell proliferation, migration and invasion. 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Identification and validation of IRF6 related to ovarian cancer and biological function and prognostic value

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