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Pregled bibliografske jedinice broj: 1104727

Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer


Ha, Kyungsik; Fujita, Masashi; Karlić, Rosa; Yang, Sungmin; Xue, Ruidong; Zhang, Chong; Bai, Fan; Zhang, Ning; Hoshida, Yujin; Polak, Paz et al.
Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer // Heliyon, 6 (2020), 2; 1-9 doi:10.1016/j.heliyon.2020.e03350 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1104727 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer

Autori
Ha, Kyungsik ; Fujita, Masashi ; Karlić, Rosa ; Yang, Sungmin ; Xue, Ruidong ; Zhang, Chong ; Bai, Fan ; Zhang, Ning ; Hoshida, Yujin ; Polak, Paz ; Nakagawa, Hidewaki ; Kim, Hong-Gee ; Lee, Hwajin

Izvornik
Heliyon (2405-8440) 6 (2020), 2; 1-9

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Biocomputational method ; Bioinformatics-based prediction of cell-of-origin ; Cancer research ; Gene mutation ; Genome and single-cell RNA-Seq data ; Genomics ; Integration of epigenome ; Primary liver cancers ; Systems biology

Sažetak
Primary liver tissue cancer types are renowned to display a consistent increase in global disease burden and mortality, thus needing more effective diagnostics and treatments. Yet, integrative research efforts to identify cell-of-origin for these cancers by utilizing human specimen data were poorly established. To this end, we analyzed previously published whole-genome sequencing data for 384 tumor and progenitor tissues along with 423 publicly available normal tissue epigenomic features and single cell RNA-seq data from human livers to assess correlation patterns and extended this information to conduct in-silico prediction of the cell-of-origin for primary liver cancer subtypes. Despite mixed histological features, the cell-of-origin for mixed hepatocellular carcinoma/intrahepatic cholangiocarcinoma subtype was predominantly predicted to be hepatocytic origin. Individual sample-level predictions also revealed hepatocytes as one of the major predicted cell-of-origin for intrahepatic cholangiocarcinoma, thus implying trans- differentiation process during cancer progression. Additional analyses on the whole genome sequencing data of hepatic progenitor cells suggest these cells may not be a direct cell-of-origin for liver cancers. These results provide novel insights on the nature and potential contributors of cell-of- origins for primary liver cancers.

Izvorni jezik
Engleski

Znanstvena područja
Biologija



POVEZANOST RADA


Ustanove:
Prirodoslovno-matematički fakultet, Zagreb

Profili:

Avatar Url Rosa Karlić (autor)

Poveznice na cjeloviti tekst rada:

doi www.cell.com

Citiraj ovu publikaciju:

Ha, Kyungsik; Fujita, Masashi; Karlić, Rosa; Yang, Sungmin; Xue, Ruidong; Zhang, Chong; Bai, Fan; Zhang, Ning; Hoshida, Yujin; Polak, Paz et al.
Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer // Heliyon, 6 (2020), 2; 1-9 doi:10.1016/j.heliyon.2020.e03350 (međunarodna recenzija, članak, znanstveni)
Ha, K., Fujita, M., Karlić, R., Yang, S., Xue, R., Zhang, C., Bai, F., Zhang, N., Hoshida, Y. & Polak, P. (2020) Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer. Heliyon, 6 (2), 1-9 doi:10.1016/j.heliyon.2020.e03350.
@article{article, author = {Ha, Kyungsik and Fujita, Masashi and Karli\'{c}, Rosa and Yang, Sungmin and Xue, Ruidong and Zhang, Chong and Bai, Fan and Zhang, Ning and Hoshida, Yujin and Polak, Paz and Nakagawa, Hidewaki and Kim, Hong-Gee and Lee, Hwajin}, year = {2020}, pages = {1-9}, DOI = {10.1016/j.heliyon.2020.e03350}, keywords = {Biocomputational method, Bioinformatics-based prediction of cell-of-origin, Cancer research, Gene mutation, Genome and single-cell RNA-Seq data, Genomics, Integration of epigenome, Primary liver cancers, Systems biology}, journal = {Heliyon}, doi = {10.1016/j.heliyon.2020.e03350}, volume = {6}, number = {2}, issn = {2405-8440}, title = {Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer}, keyword = {Biocomputational method, Bioinformatics-based prediction of cell-of-origin, Cancer research, Gene mutation, Genome and single-cell RNA-Seq data, Genomics, Integration of epigenome, Primary liver cancers, Systems biology} }
@article{article, author = {Ha, Kyungsik and Fujita, Masashi and Karli\'{c}, Rosa and Yang, Sungmin and Xue, Ruidong and Zhang, Chong and Bai, Fan and Zhang, Ning and Hoshida, Yujin and Polak, Paz and Nakagawa, Hidewaki and Kim, Hong-Gee and Lee, Hwajin}, year = {2020}, pages = {1-9}, DOI = {10.1016/j.heliyon.2020.e03350}, keywords = {Biocomputational method, Bioinformatics-based prediction of cell-of-origin, Cancer research, Gene mutation, Genome and single-cell RNA-Seq data, Genomics, Integration of epigenome, Primary liver cancers, Systems biology}, journal = {Heliyon}, doi = {10.1016/j.heliyon.2020.e03350}, volume = {6}, number = {2}, issn = {2405-8440}, title = {Somatic mutation landscape reveals differential variability of cell-of-origin for primary liver cancer}, keyword = {Biocomputational method, Bioinformatics-based prediction of cell-of-origin, Cancer research, Gene mutation, Genome and single-cell RNA-Seq data, Genomics, Integration of epigenome, Primary liver cancers, Systems biology} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Citati:





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