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Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma.
Zhou, Jian; Zhu, Yue; Ma, Songlin; Li, Yi; Liu, Kun; Xu, Sihuan; Li, Xin; Li, Li; Hu, Junfang; Liu, Yan.
Afiliación
  • Zhou J; Department of Infectious Diseases, Puren Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
  • Zhu Y; Biological Cell Therapy Research Center, Puren Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
  • Ma S; Department of Gastroenterology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Li Y; Department of Infectious Diseases, Puren Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
  • Liu K; Otorhinolaryngology, Puren Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
  • Xu S; Biological Cell Therapy Research Center, Puren Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
  • Li X; Biological Cell Therapy Research Center, Puren Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
  • Li L; The Ministry of Science and Education, Puren Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
  • Hu J; Department of Pharmacy, Puren Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
  • Liu Y; Biological Cell Therapy Research Center, Puren Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, Hubei, China.
PLoS One ; 16(10): e0258797, 2021.
Article en En | MEDLINE | ID: mdl-34679093
BACKGROUND: Liver hepatocellular carcinoma (LIHC) is one of the most common malignant tumors. However, the etiology and exact molecular mechanism of LIHC are still not fully understood, which makes it urgent for us to further study the molecular events behind. METHODS: In this study, differences in mRNA expression between LIHC samples and normal adjacent samples were found through analyzing the TCGA database, and key targets were sought. We analyzed 371 LIHC samples and 50 normal adjacent samples according to P <0.01 and logFC>2.5, a total of 1092 genes were identified differentially expressed, including 995 up-regulated genes and 97 down-regulated genes. We predicted the interactions of these differentially expressed mRNAs, and used Cyto-Hubba to locate the hub gene-dynein cytoplasmic 1 intermediate chain 1 (DYNC1I1). RESULTS: Survival analysis showed that DYNC1I1 was a prognostic factor for LIHC male patients. Functional enrichment indicated that DYNC1I1 and differentially expressed interacting proteins were involved in the cell cycle. CONCLUSION: In conclusion, this study discovers that DYNC1I1 can be used as a prognostic marker for LIHC male patients.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Carcinoma Hepatocelular / Biología Computacional / Dineínas Citoplasmáticas / Neoplasias Hepáticas Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores de Tumor / Carcinoma Hepatocelular / Biología Computacional / Dineínas Citoplasmáticas / Neoplasias Hepáticas Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos