National Science Review · 2023 · 45 citations · 57 references
MedicineMolecular BiologyOncologyHepatologyProteomicsTumor HeterogeneityHepatocellular CarcinomaLiver CancerMolecular Classification Of TumorsProteomic HeterogeneityProteomic ProfilingTumor ClassificationData-independent AcquisitionData-independent Acquisition AnalysisProteomic AlterationsProteomic ClassificationProteomic Data AnalysisProteomic SignaturesTumor Proteome ProfilingTumor Proteomics
Normal adjacent tissues (NATs) of hepatocellular carcinoma (HCC) differ from healthy liver tissues and their heterogeneity may contain biological information associated with disease occurrence and clinical outcome that has yet to be fully evaluated at the proteomic level. This study provides a detailed description of the heterogeneity of NATs and the differences between NATs and healthy livers and revealed that molecular features of tumor subgroups in HCC were partially reflected in their respective NATs. Proteomic data classified HCC NATs into two subtypes (Subtypes 1 and 2), and Subtype 2 was associated with poor prognosis and high-risk recurrence. The pathway and immune features of these two subtypes were characterized. Proteomic differences between the two NAT subtypes and healthy liver tissues were further investigated using data-independent acquisition mass spectrometry, revealing the early molecular alterations associated with the progression from healthy livers to NATs. This study provides a high-quality resource for HCC researchers and clinicians and may significantly expand the knowledge of tumor NATs to eventually benefit clinical practice.
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Inferring tumour purity and stromal and immune cell admixture from expression data
Kosuke Yoshihara, Maria Shahmoradgoli, Emmanuel Martínez et al. · Nature Communications · 2013 · 10.7K citations · Full text
xCell: digitally portraying the tissue cellular heterogeneity landscape
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