Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer

Abstract Background Muscle-invasive bladder cancer (MIBC) is one of the most important type of bladder cancer, with a high morbidity and mortality rate. Studies have found that long non-coding RNA (lncRNA) plays a key role in maintaining genomic instability. However, Identification of lncRNAs relate...
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Autor*in:	Yingchun Liang [verfasserIn] Fangdie Ye [verfasserIn] Zhang Cheng [verfasserIn] Yuxi Ou [verfasserIn] Lujia Zou [verfasserIn] Yun Hu [verfasserIn] Jimeng Hu [verfasserIn] Haowen Jiang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Genomic instability Mutator phenotype Long non-coding RNAs Muscle-invasive bladder cancer

Übergeordnetes Werk:	In: Cancer Cell International - BMC, 2003, 21(2021), 1, Seite 15
Übergeordnetes Werk:	volume:21 ; year:2021 ; number:1 ; pages:15

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s12935-021-02185-3

Katalog-ID:	DOAJ003061728

Internformat


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245	1	0	\|a Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer
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520			\|a Abstract Background Muscle-invasive bladder cancer (MIBC) is one of the most important type of bladder cancer, with a high morbidity and mortality rate. Studies have found that long non-coding RNA (lncRNA) plays a key role in maintaining genomic instability. However, Identification of lncRNAs related to genomic instability (GIlncRNAs) and their clinical significance in cancers have not been extensively studied yet. Methods Here, we downloaded the lncRNA expression profiles, somatic mutation profiles and clinical related data in MIBC patients from The Cancer Genome Atlas (TCGA) database. A lncRNA computational framework was used to find differentially expressed GIlncRNAs. Multivariate Cox regression analysis was used to construct a genomic instability-related lncRNA signature (GIlncSig). Univariate and multivariate Cox analyses were used to assess the independent prognostic for the GIlncSig and other key clinical factors. Results We found 43 differentially expressed GIlncRNAs and constructed the GIlncSig with 6 GIlncRNAs in the training cohort. The patients were divided into two risk groups. The overall survival of patients in the high-risk group was lower than that in the low-risk group (P < 0.001), which were further verified in the testing cohort and the entire TCGA cohort. Univariate and multivariate Cox regression showed that the GIlncSig was an independent prognostic factor. In addition, the GIlncSig correlated with the genomic mutation rate of MIBC, indicating its potential as a measure of the degree of genomic instability. The GIlncSig was able to divide FGFR3 wild- and mutant-type patients into two risk groups, and effectively enhanced the prediction effect. Conclusion Our study introduced an important reference for further research on the role of GIlncRNAs, and provided prognostic indicators and potential biological therapy targets for MIBC.
650		4	\|a Genomic instability
650		4	\|a Mutator phenotype
650		4	\|a Long non-coding RNAs
650		4	\|a Muscle-invasive bladder cancer
653		0	\|a Neoplasms. Tumors. Oncology. Including cancer and carcinogens
653		0	\|a Cytology
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700	0		\|a Yun Hu \|e verfasserin \|4 aut
700	0		\|a Jimeng Hu \|e verfasserin \|4 aut
700	0		\|a Haowen Jiang \|e verfasserin \|4 aut
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allfields	10.1186/s12935-021-02185-3 doi (DE-627)DOAJ003061728 (DE-599)DOAJ5ad0dece38f24da2adc895836042d3e4 DE-627 ger DE-627 rakwb eng RC254-282 QH573-671 Yingchun Liang verfasserin aut Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Muscle-invasive bladder cancer (MIBC) is one of the most important type of bladder cancer, with a high morbidity and mortality rate. Studies have found that long non-coding RNA (lncRNA) plays a key role in maintaining genomic instability. However, Identification of lncRNAs related to genomic instability (GIlncRNAs) and their clinical significance in cancers have not been extensively studied yet. Methods Here, we downloaded the lncRNA expression profiles, somatic mutation profiles and clinical related data in MIBC patients from The Cancer Genome Atlas (TCGA) database. A lncRNA computational framework was used to find differentially expressed GIlncRNAs. Multivariate Cox regression analysis was used to construct a genomic instability-related lncRNA signature (GIlncSig). Univariate and multivariate Cox analyses were used to assess the independent prognostic for the GIlncSig and other key clinical factors. Results We found 43 differentially expressed GIlncRNAs and constructed the GIlncSig with 6 GIlncRNAs in the training cohort. The patients were divided into two risk groups. The overall survival of patients in the high-risk group was lower than that in the low-risk group (P < 0.001), which were further verified in the testing cohort and the entire TCGA cohort. Univariate and multivariate Cox regression showed that the GIlncSig was an independent prognostic factor. In addition, the GIlncSig correlated with the genomic mutation rate of MIBC, indicating its potential as a measure of the degree of genomic instability. The GIlncSig was able to divide FGFR3 wild- and mutant-type patients into two risk groups, and effectively enhanced the prediction effect. Conclusion Our study introduced an important reference for further research on the role of GIlncRNAs, and provided prognostic indicators and potential biological therapy targets for MIBC. Genomic instability Mutator phenotype Long non-coding RNAs Muscle-invasive bladder cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens Cytology Fangdie Ye verfasserin aut Zhang Cheng verfasserin aut Yuxi Ou verfasserin aut Lujia Zou verfasserin aut Yun Hu verfasserin aut Jimeng Hu verfasserin aut Haowen Jiang verfasserin aut In Cancer Cell International BMC, 2003 21(2021), 1, Seite 15 (DE-627)355989204 (DE-600)2091573-1 14752867 nnns volume:21 year:2021 number:1 pages:15 https://doi.org/10.1186/s12935-021-02185-3 kostenfrei https://doaj.org/article/5ad0dece38f24da2adc895836042d3e4 kostenfrei https://doi.org/10.1186/s12935-021-02185-3 kostenfrei https://doaj.org/toc/1475-2867 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 21 2021 1 15
spelling	10.1186/s12935-021-02185-3 doi (DE-627)DOAJ003061728 (DE-599)DOAJ5ad0dece38f24da2adc895836042d3e4 DE-627 ger DE-627 rakwb eng RC254-282 QH573-671 Yingchun Liang verfasserin aut Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Muscle-invasive bladder cancer (MIBC) is one of the most important type of bladder cancer, with a high morbidity and mortality rate. Studies have found that long non-coding RNA (lncRNA) plays a key role in maintaining genomic instability. However, Identification of lncRNAs related to genomic instability (GIlncRNAs) and their clinical significance in cancers have not been extensively studied yet. Methods Here, we downloaded the lncRNA expression profiles, somatic mutation profiles and clinical related data in MIBC patients from The Cancer Genome Atlas (TCGA) database. A lncRNA computational framework was used to find differentially expressed GIlncRNAs. Multivariate Cox regression analysis was used to construct a genomic instability-related lncRNA signature (GIlncSig). Univariate and multivariate Cox analyses were used to assess the independent prognostic for the GIlncSig and other key clinical factors. Results We found 43 differentially expressed GIlncRNAs and constructed the GIlncSig with 6 GIlncRNAs in the training cohort. The patients were divided into two risk groups. The overall survival of patients in the high-risk group was lower than that in the low-risk group (P < 0.001), which were further verified in the testing cohort and the entire TCGA cohort. Univariate and multivariate Cox regression showed that the GIlncSig was an independent prognostic factor. In addition, the GIlncSig correlated with the genomic mutation rate of MIBC, indicating its potential as a measure of the degree of genomic instability. The GIlncSig was able to divide FGFR3 wild- and mutant-type patients into two risk groups, and effectively enhanced the prediction effect. Conclusion Our study introduced an important reference for further research on the role of GIlncRNAs, and provided prognostic indicators and potential biological therapy targets for MIBC. Genomic instability Mutator phenotype Long non-coding RNAs Muscle-invasive bladder cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens Cytology Fangdie Ye verfasserin aut Zhang Cheng verfasserin aut Yuxi Ou verfasserin aut Lujia Zou verfasserin aut Yun Hu verfasserin aut Jimeng Hu verfasserin aut Haowen Jiang verfasserin aut In Cancer Cell International BMC, 2003 21(2021), 1, Seite 15 (DE-627)355989204 (DE-600)2091573-1 14752867 nnns volume:21 year:2021 number:1 pages:15 https://doi.org/10.1186/s12935-021-02185-3 kostenfrei https://doaj.org/article/5ad0dece38f24da2adc895836042d3e4 kostenfrei https://doi.org/10.1186/s12935-021-02185-3 kostenfrei https://doaj.org/toc/1475-2867 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 21 2021 1 15
allfields_unstemmed	10.1186/s12935-021-02185-3 doi (DE-627)DOAJ003061728 (DE-599)DOAJ5ad0dece38f24da2adc895836042d3e4 DE-627 ger DE-627 rakwb eng RC254-282 QH573-671 Yingchun Liang verfasserin aut Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Muscle-invasive bladder cancer (MIBC) is one of the most important type of bladder cancer, with a high morbidity and mortality rate. Studies have found that long non-coding RNA (lncRNA) plays a key role in maintaining genomic instability. However, Identification of lncRNAs related to genomic instability (GIlncRNAs) and their clinical significance in cancers have not been extensively studied yet. Methods Here, we downloaded the lncRNA expression profiles, somatic mutation profiles and clinical related data in MIBC patients from The Cancer Genome Atlas (TCGA) database. A lncRNA computational framework was used to find differentially expressed GIlncRNAs. Multivariate Cox regression analysis was used to construct a genomic instability-related lncRNA signature (GIlncSig). Univariate and multivariate Cox analyses were used to assess the independent prognostic for the GIlncSig and other key clinical factors. Results We found 43 differentially expressed GIlncRNAs and constructed the GIlncSig with 6 GIlncRNAs in the training cohort. The patients were divided into two risk groups. The overall survival of patients in the high-risk group was lower than that in the low-risk group (P < 0.001), which were further verified in the testing cohort and the entire TCGA cohort. Univariate and multivariate Cox regression showed that the GIlncSig was an independent prognostic factor. In addition, the GIlncSig correlated with the genomic mutation rate of MIBC, indicating its potential as a measure of the degree of genomic instability. The GIlncSig was able to divide FGFR3 wild- and mutant-type patients into two risk groups, and effectively enhanced the prediction effect. Conclusion Our study introduced an important reference for further research on the role of GIlncRNAs, and provided prognostic indicators and potential biological therapy targets for MIBC. Genomic instability Mutator phenotype Long non-coding RNAs Muscle-invasive bladder cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens Cytology Fangdie Ye verfasserin aut Zhang Cheng verfasserin aut Yuxi Ou verfasserin aut Lujia Zou verfasserin aut Yun Hu verfasserin aut Jimeng Hu verfasserin aut Haowen Jiang verfasserin aut In Cancer Cell International BMC, 2003 21(2021), 1, Seite 15 (DE-627)355989204 (DE-600)2091573-1 14752867 nnns volume:21 year:2021 number:1 pages:15 https://doi.org/10.1186/s12935-021-02185-3 kostenfrei https://doaj.org/article/5ad0dece38f24da2adc895836042d3e4 kostenfrei https://doi.org/10.1186/s12935-021-02185-3 kostenfrei https://doaj.org/toc/1475-2867 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 21 2021 1 15
allfieldsGer	10.1186/s12935-021-02185-3 doi (DE-627)DOAJ003061728 (DE-599)DOAJ5ad0dece38f24da2adc895836042d3e4 DE-627 ger DE-627 rakwb eng RC254-282 QH573-671 Yingchun Liang verfasserin aut Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Muscle-invasive bladder cancer (MIBC) is one of the most important type of bladder cancer, with a high morbidity and mortality rate. Studies have found that long non-coding RNA (lncRNA) plays a key role in maintaining genomic instability. However, Identification of lncRNAs related to genomic instability (GIlncRNAs) and their clinical significance in cancers have not been extensively studied yet. Methods Here, we downloaded the lncRNA expression profiles, somatic mutation profiles and clinical related data in MIBC patients from The Cancer Genome Atlas (TCGA) database. A lncRNA computational framework was used to find differentially expressed GIlncRNAs. Multivariate Cox regression analysis was used to construct a genomic instability-related lncRNA signature (GIlncSig). Univariate and multivariate Cox analyses were used to assess the independent prognostic for the GIlncSig and other key clinical factors. Results We found 43 differentially expressed GIlncRNAs and constructed the GIlncSig with 6 GIlncRNAs in the training cohort. The patients were divided into two risk groups. The overall survival of patients in the high-risk group was lower than that in the low-risk group (P < 0.001), which were further verified in the testing cohort and the entire TCGA cohort. Univariate and multivariate Cox regression showed that the GIlncSig was an independent prognostic factor. In addition, the GIlncSig correlated with the genomic mutation rate of MIBC, indicating its potential as a measure of the degree of genomic instability. The GIlncSig was able to divide FGFR3 wild- and mutant-type patients into two risk groups, and effectively enhanced the prediction effect. Conclusion Our study introduced an important reference for further research on the role of GIlncRNAs, and provided prognostic indicators and potential biological therapy targets for MIBC. Genomic instability Mutator phenotype Long non-coding RNAs Muscle-invasive bladder cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens Cytology Fangdie Ye verfasserin aut Zhang Cheng verfasserin aut Yuxi Ou verfasserin aut Lujia Zou verfasserin aut Yun Hu verfasserin aut Jimeng Hu verfasserin aut Haowen Jiang verfasserin aut In Cancer Cell International BMC, 2003 21(2021), 1, Seite 15 (DE-627)355989204 (DE-600)2091573-1 14752867 nnns volume:21 year:2021 number:1 pages:15 https://doi.org/10.1186/s12935-021-02185-3 kostenfrei https://doaj.org/article/5ad0dece38f24da2adc895836042d3e4 kostenfrei https://doi.org/10.1186/s12935-021-02185-3 kostenfrei https://doaj.org/toc/1475-2867 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 21 2021 1 15
allfieldsSound	10.1186/s12935-021-02185-3 doi (DE-627)DOAJ003061728 (DE-599)DOAJ5ad0dece38f24da2adc895836042d3e4 DE-627 ger DE-627 rakwb eng RC254-282 QH573-671 Yingchun Liang verfasserin aut Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Muscle-invasive bladder cancer (MIBC) is one of the most important type of bladder cancer, with a high morbidity and mortality rate. Studies have found that long non-coding RNA (lncRNA) plays a key role in maintaining genomic instability. However, Identification of lncRNAs related to genomic instability (GIlncRNAs) and their clinical significance in cancers have not been extensively studied yet. Methods Here, we downloaded the lncRNA expression profiles, somatic mutation profiles and clinical related data in MIBC patients from The Cancer Genome Atlas (TCGA) database. A lncRNA computational framework was used to find differentially expressed GIlncRNAs. Multivariate Cox regression analysis was used to construct a genomic instability-related lncRNA signature (GIlncSig). Univariate and multivariate Cox analyses were used to assess the independent prognostic for the GIlncSig and other key clinical factors. Results We found 43 differentially expressed GIlncRNAs and constructed the GIlncSig with 6 GIlncRNAs in the training cohort. The patients were divided into two risk groups. The overall survival of patients in the high-risk group was lower than that in the low-risk group (P < 0.001), which were further verified in the testing cohort and the entire TCGA cohort. Univariate and multivariate Cox regression showed that the GIlncSig was an independent prognostic factor. In addition, the GIlncSig correlated with the genomic mutation rate of MIBC, indicating its potential as a measure of the degree of genomic instability. The GIlncSig was able to divide FGFR3 wild- and mutant-type patients into two risk groups, and effectively enhanced the prediction effect. Conclusion Our study introduced an important reference for further research on the role of GIlncRNAs, and provided prognostic indicators and potential biological therapy targets for MIBC. Genomic instability Mutator phenotype Long non-coding RNAs Muscle-invasive bladder cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens Cytology Fangdie Ye verfasserin aut Zhang Cheng verfasserin aut Yuxi Ou verfasserin aut Lujia Zou verfasserin aut Yun Hu verfasserin aut Jimeng Hu verfasserin aut Haowen Jiang verfasserin aut In Cancer Cell International BMC, 2003 21(2021), 1, Seite 15 (DE-627)355989204 (DE-600)2091573-1 14752867 nnns volume:21 year:2021 number:1 pages:15 https://doi.org/10.1186/s12935-021-02185-3 kostenfrei https://doaj.org/article/5ad0dece38f24da2adc895836042d3e4 kostenfrei https://doi.org/10.1186/s12935-021-02185-3 kostenfrei https://doaj.org/toc/1475-2867 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 21 2021 1 15
language	English
source	In Cancer Cell International 21(2021), 1, Seite 15 volume:21 year:2021 number:1 pages:15
sourceStr	In Cancer Cell International 21(2021), 1, Seite 15 volume:21 year:2021 number:1 pages:15
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Genomic instability Mutator phenotype Long non-coding RNAs Muscle-invasive bladder cancer Neoplasms. Tumors. Oncology. Including cancer and carcinogens Cytology
isfreeaccess_bool	true
container_title	Cancer Cell International
authorswithroles_txt_mv	Yingchun Liang @@aut@@ Fangdie Ye @@aut@@ Zhang Cheng @@aut@@ Yuxi Ou @@aut@@ Lujia Zou @@aut@@ Yun Hu @@aut@@ Jimeng Hu @@aut@@ Haowen Jiang @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	355989204
id	DOAJ003061728
language_de	englisch
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callnumber-first	R - Medicine
author	Yingchun Liang
spellingShingle	Yingchun Liang misc RC254-282 misc QH573-671 misc Genomic instability misc Mutator phenotype misc Long non-coding RNAs misc Muscle-invasive bladder cancer misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens misc Cytology Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer
authorStr	Yingchun Liang
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topic_title	RC254-282 QH573-671 Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer Genomic instability Mutator phenotype Long non-coding RNAs Muscle-invasive bladder cancer
topic	misc RC254-282 misc QH573-671 misc Genomic instability misc Mutator phenotype misc Long non-coding RNAs misc Muscle-invasive bladder cancer misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens misc Cytology
topic_unstemmed	misc RC254-282 misc QH573-671 misc Genomic instability misc Mutator phenotype misc Long non-coding RNAs misc Muscle-invasive bladder cancer misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens misc Cytology
topic_browse	misc RC254-282 misc QH573-671 misc Genomic instability misc Mutator phenotype misc Long non-coding RNAs misc Muscle-invasive bladder cancer misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens misc Cytology
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title	Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer
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title_full	Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer
author_sort	Yingchun Liang
journal	Cancer Cell International
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author_browse	Yingchun Liang Fangdie Ye Zhang Cheng Yuxi Ou Lujia Zou Yun Hu Jimeng Hu Haowen Jiang
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author-letter	Yingchun Liang
doi_str_mv	10.1186/s12935-021-02185-3
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title_sort	calculated identification of mutator-derived lncrna signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer
callnumber	RC254-282
title_auth	Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer
abstract	Abstract Background Muscle-invasive bladder cancer (MIBC) is one of the most important type of bladder cancer, with a high morbidity and mortality rate. Studies have found that long non-coding RNA (lncRNA) plays a key role in maintaining genomic instability. However, Identification of lncRNAs related to genomic instability (GIlncRNAs) and their clinical significance in cancers have not been extensively studied yet. Methods Here, we downloaded the lncRNA expression profiles, somatic mutation profiles and clinical related data in MIBC patients from The Cancer Genome Atlas (TCGA) database. A lncRNA computational framework was used to find differentially expressed GIlncRNAs. Multivariate Cox regression analysis was used to construct a genomic instability-related lncRNA signature (GIlncSig). Univariate and multivariate Cox analyses were used to assess the independent prognostic for the GIlncSig and other key clinical factors. Results We found 43 differentially expressed GIlncRNAs and constructed the GIlncSig with 6 GIlncRNAs in the training cohort. The patients were divided into two risk groups. The overall survival of patients in the high-risk group was lower than that in the low-risk group (P < 0.001), which were further verified in the testing cohort and the entire TCGA cohort. Univariate and multivariate Cox regression showed that the GIlncSig was an independent prognostic factor. In addition, the GIlncSig correlated with the genomic mutation rate of MIBC, indicating its potential as a measure of the degree of genomic instability. The GIlncSig was able to divide FGFR3 wild- and mutant-type patients into two risk groups, and effectively enhanced the prediction effect. Conclusion Our study introduced an important reference for further research on the role of GIlncRNAs, and provided prognostic indicators and potential biological therapy targets for MIBC.
abstractGer	Abstract Background Muscle-invasive bladder cancer (MIBC) is one of the most important type of bladder cancer, with a high morbidity and mortality rate. Studies have found that long non-coding RNA (lncRNA) plays a key role in maintaining genomic instability. However, Identification of lncRNAs related to genomic instability (GIlncRNAs) and their clinical significance in cancers have not been extensively studied yet. Methods Here, we downloaded the lncRNA expression profiles, somatic mutation profiles and clinical related data in MIBC patients from The Cancer Genome Atlas (TCGA) database. A lncRNA computational framework was used to find differentially expressed GIlncRNAs. Multivariate Cox regression analysis was used to construct a genomic instability-related lncRNA signature (GIlncSig). Univariate and multivariate Cox analyses were used to assess the independent prognostic for the GIlncSig and other key clinical factors. Results We found 43 differentially expressed GIlncRNAs and constructed the GIlncSig with 6 GIlncRNAs in the training cohort. The patients were divided into two risk groups. The overall survival of patients in the high-risk group was lower than that in the low-risk group (P < 0.001), which were further verified in the testing cohort and the entire TCGA cohort. Univariate and multivariate Cox regression showed that the GIlncSig was an independent prognostic factor. In addition, the GIlncSig correlated with the genomic mutation rate of MIBC, indicating its potential as a measure of the degree of genomic instability. The GIlncSig was able to divide FGFR3 wild- and mutant-type patients into two risk groups, and effectively enhanced the prediction effect. Conclusion Our study introduced an important reference for further research on the role of GIlncRNAs, and provided prognostic indicators and potential biological therapy targets for MIBC.
abstract_unstemmed	Abstract Background Muscle-invasive bladder cancer (MIBC) is one of the most important type of bladder cancer, with a high morbidity and mortality rate. Studies have found that long non-coding RNA (lncRNA) plays a key role in maintaining genomic instability. However, Identification of lncRNAs related to genomic instability (GIlncRNAs) and their clinical significance in cancers have not been extensively studied yet. Methods Here, we downloaded the lncRNA expression profiles, somatic mutation profiles and clinical related data in MIBC patients from The Cancer Genome Atlas (TCGA) database. A lncRNA computational framework was used to find differentially expressed GIlncRNAs. Multivariate Cox regression analysis was used to construct a genomic instability-related lncRNA signature (GIlncSig). Univariate and multivariate Cox analyses were used to assess the independent prognostic for the GIlncSig and other key clinical factors. Results We found 43 differentially expressed GIlncRNAs and constructed the GIlncSig with 6 GIlncRNAs in the training cohort. The patients were divided into two risk groups. The overall survival of patients in the high-risk group was lower than that in the low-risk group (P < 0.001), which were further verified in the testing cohort and the entire TCGA cohort. Univariate and multivariate Cox regression showed that the GIlncSig was an independent prognostic factor. In addition, the GIlncSig correlated with the genomic mutation rate of MIBC, indicating its potential as a measure of the degree of genomic instability. The GIlncSig was able to divide FGFR3 wild- and mutant-type patients into two risk groups, and effectively enhanced the prediction effect. Conclusion Our study introduced an important reference for further research on the role of GIlncRNAs, and provided prognostic indicators and potential biological therapy targets for MIBC.
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title_short	Calculated identification of mutator-derived lncRNA signatures of genomic instability to predict the clinical outcome of muscle-invasive bladder cancer
url	https://doi.org/10.1186/s12935-021-02185-3 https://doaj.org/article/5ad0dece38f24da2adc895836042d3e4 https://doaj.org/toc/1475-2867
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