2019
Gastroenterology – Caruso et al – Analysis of Liver Cancer Cell Lines Identifies Agents With Likely Efficacy Against Hepatocellular Carcinoma and Markers of Response.
Item | Data | Details |
---|---|---|
Cell lines | LCCL_description | Description of liver cancer cell lines. |
Cell lines | Somatic_alterations | List of putative somatic genomic alterations identified in 34 Liver Cancer Cell Lines by whole-exome sequencing. |
Cell lines | Fusion_transcripts | Fusion transcripts identified in 34 liver cancer cell lines by RNA-sequencing. |
Cell lines | HBV_fusions | HBV RNA fusions identified by RNA-sequencing among 34 liver cancer cell lines. |
Cell lines | Drivers | List of the 252 cancer driver genes used to analyze association between drug sensitivity and genetic alterations in 34 liver cancer cell lines. |
Cell lines | RNAseq_vsn | RNA expression in 34 liver cancer cell lines (vsn) |
Cell lines | RNAseq_FPMK | RNA expression in 34 liver cancer cell lines (FPKM) |
Cell lines | microRNAseq_vsn | microRNA expression in 34 liver cancer cell lines (vsn) |
Cell lines | microRNAseq_RPM | microRNA expression in 34 liver cancer cell lines (RPM) |
Cell lines | Protein_expression | Expression of 126 proteins analyzed by RPPA in 34 liver cancer cell lines (log2-transformed). |
Cell lines/Drugs | AUC | Drug sensitivity in 34 liver cancer cell lines. Table of AUC values for each drug |
Cell lines/Drugs | GI50 | Drug sensitivity in 34 liver cancer cell lines. Table of GI50 values for each drug |
Drugs | Screened_compounds | Description of screened compounds. |
2018
Nature Communications – Bayard et al – Cyclin A2/E1 activation defines a hepatocellular carcinoma subclass with a rearrangement signature of replication stress.
- Clinical Annotations
- Copy Number Analysis cgp Battenberg_45_WGS_samples
- Copy_number_analysis_segmented_160_WGS_or_WES_samples
- Gene_description_for_FPKM_table
- Gene_expression_160_RNAseq_samples
- Gene_fusions_160_RNAseq_samples
- Somatic_coding_mutations_and_indels_160_WGS_or_WES_samples
- Somatic_mutations_and_indels_45_WGS_samples.vcf
- Somatic_structural_variants_45_WGS_samples.txt
- R Data
Bioinformatics – Shinde et al – Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancer.
2017
Nature Communications – Letouzé et al – Mutational signatures reveal the dynamic interplay of risk factors and cellular processes during liver tumorigenesis.
- Clinical_annotations_44_samples
- Copy_number_analysis_cgpBattenberg_44_WGS_samples
- Somatic_mutations_and_indels_44_WGS_samples.vcf
- Somatic_structural_variants_44_WGS_samples
- R Data
2015
Gastroenterology – Cornella H et al. – Unique genomic profile of fibrolamellar hepatocellular carcinoma.
23 FNC Samples SNP-arrays
http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE59443
Nat. Genet. – Schulze K, Imbeaud S, Letouzé E et al – Exome sequencing of hepatocellular carcinomas identifies new mutational signatures and potential therapeutic targets.
81 Hepatocellular carcinomas samples large-scale gene expression profiling
Ref: GSE62232
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62232
2014
Hepatology – Nault et al – Telomerase reverse transcriptase promoter mutation is an early somatic genetic alteration in the transformation of premalignant nodules in hepatocellular carcinoma on cirrhosis.
http://mnd-tert2014.inserm-u1162.fr
2009
Rebouissou S et al. – Nature – Frequent in-frame somatic deletions activate gp130 in inflammatory hepatocellular tumours.
8 Samples
Dat
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE11819
2008
J Hepatol. – Rebouissou S et al. – The beta-catenin pathway is activated in focal nodular hyperplasia but not in cirrhotic FNH-like nodules.
8 Samples
Data
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE9536
2007
J Biol Chem – Rebouissou S et al- HNF1alpha inactivation promotes lipogenesis in human hepatocellular adenoma independently of SREBP-1 and carbohydrate-response element-binding protein (ChREBP) activation.
Data
Ref: GSE7473
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE7473
Hepatology – Boyault S et al – Transcriptome classification of HCC is related to gene alterations and to new therapeutic targets.
Transcription profiling of 57 hepato cellular carcinoma tumoral samples, 3 hepatocellular adenomas, 5 non-tumoral poo
Ref: E-TABM-36:
http://www.ebi.ac.uk/microarray-as/ae/files/E-TABM-36