The differential expression patterns and co-expression networks of paralogs as an indicator of the TNM stages of lung adenocarcinoma and squamous cell carcinoma
Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lian, Shuaibin [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020transfer abstract |
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| Umfang: |
10 |
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| Übergeordnetes Werk: |
Enthalten in: Flood hazard assessment and heavy metal distributions around Um Gheig mine area, Eastern Desert, Egypt - Redwan, Mostafa ELSEVIER, 2017transfer abstract, an international journal for analysis of the human and other genomes, San Diego, Calif |
|---|---|
| Übergeordnetes Werk: |
volume:112 ; year:2020 ; number:6 ; pages:4115-4124 ; extent:10 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ygeno.2020.07.019 |
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| 245 | 1 | 4 | |a The differential expression patterns and co-expression networks of paralogs as an indicator of the TNM stages of lung adenocarcinoma and squamous cell carcinoma |
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| 520 | |a Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. | ||
| 520 | |a Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. | ||
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| 700 | 1 | |a Wang, Tianwen |4 oth | |
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10.1016/j.ygeno.2020.07.019 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001320.pica (DE-627)ELV052453103 (ELSEVIER)S0888-7543(20)30014-8 DE-627 ger DE-627 rakwb eng 550 VZ 620 VZ 55.50 bkl 55.60 bkl 55.60 bkl Lian, Shuaibin verfasserin aut The differential expression patterns and co-expression networks of paralogs as an indicator of the TNM stages of lung adenocarcinoma and squamous cell carcinoma 2020transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. Liu, Zixiao oth Zhou, Yongjie oth Guo, Jiantao oth Gong, Ke oth Wang, Tianwen oth Enthalten in Academic Press Redwan, Mostafa ELSEVIER Flood hazard assessment and heavy metal distributions around Um Gheig mine area, Eastern Desert, Egypt 2017transfer abstract an international journal for analysis of the human and other genomes San Diego, Calif (DE-627)ELV020260245 volume:112 year:2020 number:6 pages:4115-4124 extent:10 https://doi.org/10.1016/j.ygeno.2020.07.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-AST 55.50 Luftfahrzeugtechnik VZ 55.60 Raumfahrttechnik VZ 55.60 Raumfahrttechnik VZ AR 112 2020 6 4115-4124 10 |
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10.1016/j.ygeno.2020.07.019 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001320.pica (DE-627)ELV052453103 (ELSEVIER)S0888-7543(20)30014-8 DE-627 ger DE-627 rakwb eng 550 VZ 620 VZ 55.50 bkl 55.60 bkl 55.60 bkl Lian, Shuaibin verfasserin aut The differential expression patterns and co-expression networks of paralogs as an indicator of the TNM stages of lung adenocarcinoma and squamous cell carcinoma 2020transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. Liu, Zixiao oth Zhou, Yongjie oth Guo, Jiantao oth Gong, Ke oth Wang, Tianwen oth Enthalten in Academic Press Redwan, Mostafa ELSEVIER Flood hazard assessment and heavy metal distributions around Um Gheig mine area, Eastern Desert, Egypt 2017transfer abstract an international journal for analysis of the human and other genomes San Diego, Calif (DE-627)ELV020260245 volume:112 year:2020 number:6 pages:4115-4124 extent:10 https://doi.org/10.1016/j.ygeno.2020.07.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-AST 55.50 Luftfahrzeugtechnik VZ 55.60 Raumfahrttechnik VZ 55.60 Raumfahrttechnik VZ AR 112 2020 6 4115-4124 10 |
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10.1016/j.ygeno.2020.07.019 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001320.pica (DE-627)ELV052453103 (ELSEVIER)S0888-7543(20)30014-8 DE-627 ger DE-627 rakwb eng 550 VZ 620 VZ 55.50 bkl 55.60 bkl 55.60 bkl Lian, Shuaibin verfasserin aut The differential expression patterns and co-expression networks of paralogs as an indicator of the TNM stages of lung adenocarcinoma and squamous cell carcinoma 2020transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. Liu, Zixiao oth Zhou, Yongjie oth Guo, Jiantao oth Gong, Ke oth Wang, Tianwen oth Enthalten in Academic Press Redwan, Mostafa ELSEVIER Flood hazard assessment and heavy metal distributions around Um Gheig mine area, Eastern Desert, Egypt 2017transfer abstract an international journal for analysis of the human and other genomes San Diego, Calif (DE-627)ELV020260245 volume:112 year:2020 number:6 pages:4115-4124 extent:10 https://doi.org/10.1016/j.ygeno.2020.07.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-AST 55.50 Luftfahrzeugtechnik VZ 55.60 Raumfahrttechnik VZ 55.60 Raumfahrttechnik VZ AR 112 2020 6 4115-4124 10 |
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10.1016/j.ygeno.2020.07.019 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001320.pica (DE-627)ELV052453103 (ELSEVIER)S0888-7543(20)30014-8 DE-627 ger DE-627 rakwb eng 550 VZ 620 VZ 55.50 bkl 55.60 bkl 55.60 bkl Lian, Shuaibin verfasserin aut The differential expression patterns and co-expression networks of paralogs as an indicator of the TNM stages of lung adenocarcinoma and squamous cell carcinoma 2020transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. Liu, Zixiao oth Zhou, Yongjie oth Guo, Jiantao oth Gong, Ke oth Wang, Tianwen oth Enthalten in Academic Press Redwan, Mostafa ELSEVIER Flood hazard assessment and heavy metal distributions around Um Gheig mine area, Eastern Desert, Egypt 2017transfer abstract an international journal for analysis of the human and other genomes San Diego, Calif (DE-627)ELV020260245 volume:112 year:2020 number:6 pages:4115-4124 extent:10 https://doi.org/10.1016/j.ygeno.2020.07.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-AST 55.50 Luftfahrzeugtechnik VZ 55.60 Raumfahrttechnik VZ 55.60 Raumfahrttechnik VZ AR 112 2020 6 4115-4124 10 |
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10.1016/j.ygeno.2020.07.019 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001320.pica (DE-627)ELV052453103 (ELSEVIER)S0888-7543(20)30014-8 DE-627 ger DE-627 rakwb eng 550 VZ 620 VZ 55.50 bkl 55.60 bkl 55.60 bkl Lian, Shuaibin verfasserin aut The differential expression patterns and co-expression networks of paralogs as an indicator of the TNM stages of lung adenocarcinoma and squamous cell carcinoma 2020transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. Liu, Zixiao oth Zhou, Yongjie oth Guo, Jiantao oth Gong, Ke oth Wang, Tianwen oth Enthalten in Academic Press Redwan, Mostafa ELSEVIER Flood hazard assessment and heavy metal distributions around Um Gheig mine area, Eastern Desert, Egypt 2017transfer abstract an international journal for analysis of the human and other genomes San Diego, Calif (DE-627)ELV020260245 volume:112 year:2020 number:6 pages:4115-4124 extent:10 https://doi.org/10.1016/j.ygeno.2020.07.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-AST 55.50 Luftfahrzeugtechnik VZ 55.60 Raumfahrttechnik VZ 55.60 Raumfahrttechnik VZ AR 112 2020 6 4115-4124 10 |
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Enthalten in Flood hazard assessment and heavy metal distributions around Um Gheig mine area, Eastern Desert, Egypt San Diego, Calif volume:112 year:2020 number:6 pages:4115-4124 extent:10 |
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Enthalten in Flood hazard assessment and heavy metal distributions around Um Gheig mine area, Eastern Desert, Egypt San Diego, Calif volume:112 year:2020 number:6 pages:4115-4124 extent:10 |
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differential expression patterns and co-expression networks of paralogs as an indicator of the tnm stages of lung adenocarcinoma and squamous cell carcinoma |
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The differential expression patterns and co-expression networks of paralogs as an indicator of the TNM stages of lung adenocarcinoma and squamous cell carcinoma |
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Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. |
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Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. |
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Cancers constitute a severe threat to human health. Elucidating the association between the expression patterns of the paralogous genes and transcription factors (TF) and the progression of cancers by comprehensively investigating the expression patterns and co-expression networks will contribute to the in-depth understanding of the pathogenesis of cancers. Here, we identified the paralogous gene pairs and systematically analyzed the expression patterns of these paralogs and the known TFs to elucidate the associations with Tumor, Node, Metastasis (TNM) staging information across ten cancers. We found that the expression of ~60% paralogs was cancer-dependent, and more than 50% of the differentially expressed TFs pairs showed positive expression correlations. The down-regulation patterns of paralogs and TFs were closely associated with the M and N developmental stages of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). Our results will help to understand the roles of paralogs and TFs in cancer progression and to screen prognostic biomarkers for early cancer diagnosis. |
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