Human liver single nucleus and single cell RNA sequencing identify a hepatocellular carcinoma-associated cell-type affecting survival.


Journal

Genome medicine
ISSN: 1756-994X
Titre abrégé: Genome Med
Pays: England
ID NLM: 101475844

Informations de publication

Date de publication:
17 05 2022
Historique:
received: 31 01 2022
accepted: 05 05 2022
entrez: 17 5 2022
pubmed: 18 5 2022
medline: 20 5 2022
Statut: epublish

Résumé

Hepatocellular carcinoma (HCC) is a common primary liver cancer with poor overall survival. We hypothesized that there are HCC-associated cell-types that impact patient survival. We combined liver single nucleus (snRNA-seq), single cell (scRNA-seq), and bulk RNA-sequencing (RNA-seq) data to search for cell-type differences in HCC. To first identify cell-types in HCC, adjacent non-tumor tissue, and normal liver, we integrated single-cell level data from a healthy liver cohort (n = 9 non-HCC samples) collected in the Strasbourg University Hospital; an HCC cohort (n = 1 non-HCC, n = 14 HCC-tumor, and n = 14 adjacent non-tumor samples) collected in the Singapore General Hospital and National University; and another HCC cohort (n = 3 HCC-tumor and n = 3 adjacent non-tumor samples) collected in the Dumont-UCLA Liver Cancer Center. We then leveraged these single cell level data to decompose the cell-types in liver bulk RNA-seq data from HCC patients' tumor (n = 361) and adjacent non-tumor tissue (n = 49) from the Cancer Genome Atlas (TCGA) multi-center cohort. For replication, we decomposed 221 HCC and 209 adjacent non-tumor liver microarray samples from the Liver Cancer Institute (LCI) cohort collected by the Liver Cancer Institute and Zhongshan Hospital of Fudan University. We discovered a tumor-associated proliferative cell-type, Prol (80.4% tumor cells), enriched for cell cycle and mitosis genes. In the liver bulk tissue from the TCGA cohort, the proportion of the Prol cell-type is significantly increased in HCC and associates with a worse overall survival. Independently from our decomposition analysis, we reciprocally show that Prol nuclei/cells significantly over-express both tumor-elevated and survival-decreasing genes obtained from the bulk tissue. Our replication analysis in the LCI cohort confirmed that an increased estimated proportion of the Prol cell-type in HCC is a significant marker for a shorter overall survival. Finally, we show that somatic mutations in the tumor suppressor genes TP53 and RB1 are linked to an increase of the Prol cell-type in HCC. By integrating liver single cell, single nucleus, and bulk expression data from multiple cohorts we identified a proliferating cell-type (Prol) enriched in HCC tumors, associated with a decreased overall survival, and linked to TP53 and RB1 somatic mutations.

Sections du résumé

BACKGROUND
Hepatocellular carcinoma (HCC) is a common primary liver cancer with poor overall survival. We hypothesized that there are HCC-associated cell-types that impact patient survival.
METHODS
We combined liver single nucleus (snRNA-seq), single cell (scRNA-seq), and bulk RNA-sequencing (RNA-seq) data to search for cell-type differences in HCC. To first identify cell-types in HCC, adjacent non-tumor tissue, and normal liver, we integrated single-cell level data from a healthy liver cohort (n = 9 non-HCC samples) collected in the Strasbourg University Hospital; an HCC cohort (n = 1 non-HCC, n = 14 HCC-tumor, and n = 14 adjacent non-tumor samples) collected in the Singapore General Hospital and National University; and another HCC cohort (n = 3 HCC-tumor and n = 3 adjacent non-tumor samples) collected in the Dumont-UCLA Liver Cancer Center. We then leveraged these single cell level data to decompose the cell-types in liver bulk RNA-seq data from HCC patients' tumor (n = 361) and adjacent non-tumor tissue (n = 49) from the Cancer Genome Atlas (TCGA) multi-center cohort. For replication, we decomposed 221 HCC and 209 adjacent non-tumor liver microarray samples from the Liver Cancer Institute (LCI) cohort collected by the Liver Cancer Institute and Zhongshan Hospital of Fudan University.
RESULTS
We discovered a tumor-associated proliferative cell-type, Prol (80.4% tumor cells), enriched for cell cycle and mitosis genes. In the liver bulk tissue from the TCGA cohort, the proportion of the Prol cell-type is significantly increased in HCC and associates with a worse overall survival. Independently from our decomposition analysis, we reciprocally show that Prol nuclei/cells significantly over-express both tumor-elevated and survival-decreasing genes obtained from the bulk tissue. Our replication analysis in the LCI cohort confirmed that an increased estimated proportion of the Prol cell-type in HCC is a significant marker for a shorter overall survival. Finally, we show that somatic mutations in the tumor suppressor genes TP53 and RB1 are linked to an increase of the Prol cell-type in HCC.
CONCLUSIONS
By integrating liver single cell, single nucleus, and bulk expression data from multiple cohorts we identified a proliferating cell-type (Prol) enriched in HCC tumors, associated with a decreased overall survival, and linked to TP53 and RB1 somatic mutations.

Identifiants

pubmed: 35581624
doi: 10.1186/s13073-022-01055-5
pii: 10.1186/s13073-022-01055-5
pmc: PMC9115949
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

50

Subventions

Organisme : NIH HHS
ID : R01HG010505
Pays : United States
Organisme : Howard Hughes Medical Institute
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA216807
Pays : United States
Organisme : NIH HHS
ID : U01DK105561
Pays : United States
Organisme : NIH HHS
ID : R01HG006139
Pays : United States
Organisme : NIH HHS
ID : R35GM141798
Pays : United States
Organisme : NIH HHS
ID : R01HG009120
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA246304
Pays : United States

Informations de copyright

© 2022. The Author(s).

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Auteurs

Marcus Alvarez (M)

Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

Jihane N Benhammou (JN)

Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Division of Gastroenterology, Hepatology and Parenteral Nutrition, Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.

Nicholas Darci-Maher (N)

Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

Samuel W French (SW)

Department of Pathology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

Steven B Han (SB)

Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

Janet S Sinsheimer (JS)

Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Department of Computational Medicine, UCLA, Los Angeles, CA, USA.
Bioinformatics Interdepartmental Program, UCLA, Los Angeles, CA, USA.

Vatche G Agopian (VG)

Dumont-UCLA Transplant and Liver Cancer Centers, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

Joseph R Pisegna (JR)

Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Division of Gastroenterology, Hepatology and Parenteral Nutrition, Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.

Päivi Pajukanta (P)

Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. ppajukanta@mednet.ucla.edu.
Bioinformatics Interdepartmental Program, UCLA, Los Angeles, CA, USA. ppajukanta@mednet.ucla.edu.
Institute for Precision Health, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA. ppajukanta@mednet.ucla.edu.

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Classifications MeSH