and as prognostic biomarkers for prognosis and palindromia of human hepatocellular carcinoma
Hepatocellular carcinoma is one of the most mortal and prevalent cancers with increasing incidence worldwide. Elucidating genetic driver genes for prognosis and palindromia of hepatocellular carcinoma helps managing clinical decisions for patients. In this study, the high-throughput RNA sequencing d...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IOS Press
2017-07-01
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| Series: | Tumor Biology |
| Online Access: | https://doi.org/10.1177/1010428317708900 |
| _version_ | 1819282179011641344 |
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| author | Xin Zhang Jin-Xiang Wan Zun-Ping Ke Feng Wang Hai-Xia Chai Jia-Qiang Liu |
| author_facet | Xin Zhang Jin-Xiang Wan Zun-Ping Ke Feng Wang Hai-Xia Chai Jia-Qiang Liu |
| author_sort | Xin Zhang |
| collection | DOAJ |
| description | Hepatocellular carcinoma is one of the most mortal and prevalent cancers with increasing incidence worldwide. Elucidating genetic driver genes for prognosis and palindromia of hepatocellular carcinoma helps managing clinical decisions for patients. In this study, the high-throughput RNA sequencing data on platform IlluminaHiSeq of hepatocellular carcinoma were downloaded from The Cancer Genome Atlas with 330 primary hepatocellular carcinoma patient samples. Stable key genes with differential expressions were identified with which Kaplan–Meier survival analysis was performed using Cox proportional hazards test in R language. Driver genes influencing the prognosis of this disease were determined using clustering analysis. Functional analysis of driver genes was performed by literature search and Gene Set Enrichment Analysis. Finally, the selected driver genes were verified using external dataset GSE40873. A total of 5781 stable key genes were identified, including 156 genes definitely related to prognoses of hepatocellular carcinoma. Based on the significant key genes, samples were grouped into five clusters which were further integrated into high- and low-risk classes based on clinical features. TMEM88, CCL14 , and CLEC3B were selected as driver genes which clustered high-/low-risk patients successfully (generally, p = 0.0005124445). Finally, survival analysis of the high-/low-risk samples from external database illustrated significant difference with p value 0.0198. In conclusion, TMEM88, CCL14 , and CLEC3B genes were stable and available in predicting the survival and palindromia time of hepatocellular carcinoma. These genes could function as potential prognostic genes contributing to improve patients’ outcomes and survival. |
| first_indexed | 2024-12-24T01:11:28Z |
| format | Article |
| id | doaj.art-5dc95a19a0a84cd48336adf55ae0219c |
| institution | Directory Open Access Journal |
| issn | 1423-0380 |
| language | English |
| last_indexed | 2024-12-24T01:11:28Z |
| publishDate | 2017-07-01 |
| publisher | IOS Press |
| record_format | Article |
| series | Tumor Biology |
| spelling | doaj.art-5dc95a19a0a84cd48336adf55ae0219c2022-12-21T17:22:56ZengIOS PressTumor Biology1423-03802017-07-013910.1177/1010428317708900and as prognostic biomarkers for prognosis and palindromia of human hepatocellular carcinomaXin Zhang0Jin-Xiang Wan1Zun-Ping Ke2Feng Wang3Hai-Xia Chai4Jia-Qiang Liu5Department of Radiology, the Fourth People’s Hospital of Huai’an, Huai’an, ChinaDepartment of Medical Ultrasonics, The Affiliated Huai’an Hospital of Xuzhou Medical University and The Second People’s Hospital of Huai’an, Huai’an, ChinaDepartment of Cardiology, The Fifth People’s Hospital of Shanghai, Fudan University, Shanghai, ChinaDepartment of Gynecology, Taihe Hospital, Hubei University of Medicine, Shiyan, P.R. ChinaDepartment of Oncology, Taihe Hospital, Hubei University of Medicine, Shiyan, P.R. ChinaDepartment of Oral and Cranio-Maxillofacial, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of ChinaHepatocellular carcinoma is one of the most mortal and prevalent cancers with increasing incidence worldwide. Elucidating genetic driver genes for prognosis and palindromia of hepatocellular carcinoma helps managing clinical decisions for patients. In this study, the high-throughput RNA sequencing data on platform IlluminaHiSeq of hepatocellular carcinoma were downloaded from The Cancer Genome Atlas with 330 primary hepatocellular carcinoma patient samples. Stable key genes with differential expressions were identified with which Kaplan–Meier survival analysis was performed using Cox proportional hazards test in R language. Driver genes influencing the prognosis of this disease were determined using clustering analysis. Functional analysis of driver genes was performed by literature search and Gene Set Enrichment Analysis. Finally, the selected driver genes were verified using external dataset GSE40873. A total of 5781 stable key genes were identified, including 156 genes definitely related to prognoses of hepatocellular carcinoma. Based on the significant key genes, samples were grouped into five clusters which were further integrated into high- and low-risk classes based on clinical features. TMEM88, CCL14 , and CLEC3B were selected as driver genes which clustered high-/low-risk patients successfully (generally, p = 0.0005124445). Finally, survival analysis of the high-/low-risk samples from external database illustrated significant difference with p value 0.0198. In conclusion, TMEM88, CCL14 , and CLEC3B genes were stable and available in predicting the survival and palindromia time of hepatocellular carcinoma. These genes could function as potential prognostic genes contributing to improve patients’ outcomes and survival.https://doi.org/10.1177/1010428317708900 |
| spellingShingle | Xin Zhang Jin-Xiang Wan Zun-Ping Ke Feng Wang Hai-Xia Chai Jia-Qiang Liu and as prognostic biomarkers for prognosis and palindromia of human hepatocellular carcinoma Tumor Biology |
| title | and as prognostic biomarkers for prognosis and palindromia of human hepatocellular carcinoma |
| title_full | and as prognostic biomarkers for prognosis and palindromia of human hepatocellular carcinoma |
| title_fullStr | and as prognostic biomarkers for prognosis and palindromia of human hepatocellular carcinoma |
| title_full_unstemmed | and as prognostic biomarkers for prognosis and palindromia of human hepatocellular carcinoma |
| title_short | and as prognostic biomarkers for prognosis and palindromia of human hepatocellular carcinoma |
| title_sort | and as prognostic biomarkers for prognosis and palindromia of human hepatocellular carcinoma |
| url | https://doi.org/10.1177/1010428317708900 |
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