Deciphering cancer heterogeneity: the biological space

Area of Science:

• Oncology
• Genomics
• Systems Biology

Background:

• Lethal solid tumors, including hepatocellular carcinoma (HCC), present significant treatment challenges due to extensive heterogeneity.
• Tumor heterogeneity arises from diverse origins, patient factors, and genomic/epigenomic alterations, complicating cancer management.
• Genomic signatures in HCC subgroups, while sharing prognosis, exhibit unique molecular changes linked to specific cancer hallmarks.

Purpose of the Study:

• To hypothesize that distinct cancer hallmarks define unique tumor biological spaces.
• To explore the potential of these spaces as ideal druggable targets.
• To improve patient outcomes by identifying patient groups likely to respond to specific therapies.

Main Methods:

• Analyzing genomic mutations, somatic copy number aberrations, gene expression, proteomics, and metabolomics.
• Integrating multi-level data to map individual tumor biological space.
• Investigating the concept of 'cancer hallmarks' and their role in tumor development and heterogeneity.

Main Results:

• Identified that specific sets of cancer hallmarks collectively occupy different tumor biological spaces.
• Proposed that combinations of cancer hallmarks can form unique, targetable molecular networks.
• Acknowledged the dynamic and elastic nature of tumor biological space due to adaptation.

Conclusions:

• Integrating multi-omics data is crucial for understanding individual tumor biology.
• This approach may lead to improved therapeutic interventions and patient outcomes for cancers like HCC.
• Identifying specific hallmarks or networks is challenging but essential for precision oncology.