Gene expression signatures of stepwise progression of Hepatocellular Carcinoma.
Manisri PorukalaPalakkad Krishnanunni VinodPublished in: PloS one (2023)
The molecular pathogenesis of Hepatocellular Carcinoma (HCC) is a complex process progressing from premalignant stages to cancer in a stepwise manner. Mostly, HCC is detected at advanced stages, leading to high mortality rates. Hence, characterising the molecular underpinnings of HCC from normal to cancer state through precancerous state may help in early detection and improve its prognosis and treatment. In this work, we analysed the transcriptomic profile of tumour and premalignant samples from HCC or chronic liver disease patients, who had undergone either total or partial hepatectomy. The normal samples from patients with metastatic cancer/polycystic liver disease/ cholangiocarcinoma were also included. A gene co-expression network approach was applied to identify hierarchical changes: modules, pathways, and genes related to different trajectories of HCC and patient survival. Our analysis shows that the progression from premalignant conditions to tumour is accompanied by differences in the downregulation of genes associated with HNF4A activity and the immune system and upregulation of cell cycle genes, bringing about variability in patient outcomes. However, an increase in immune and cell cycle activity is observed in premalignant samples. Interestingly, co-expression modules and genes from premalignant stages are associated with survival. THBD, a classical marker for dendritic cells, is a predictor of survival at the premalignant stage. Further, genes linked to microtubules, kinetochores, and centromere are altered in both premalignant and tumour conditions and are associated with survival. Our analysis revealed a three-way molecular axis of liver function, immune pathways, and cell cycle driving HCC pathogenesis.
Keyphrases
- cell cycle
- cell proliferation
- genome wide
- papillary thyroid
- poor prognosis
- genome wide identification
- dendritic cells
- squamous cell
- dna methylation
- free survival
- bioinformatics analysis
- immune response
- type diabetes
- genome wide analysis
- single cell
- long non coding rna
- transcription factor
- childhood cancer
- single molecule
- lymph node metastasis
- copy number
- network analysis
- regulatory t cells
- coronary artery disease
- combination therapy
- cardiovascular disease
- nuclear factor