Details

Autor(en) / Beteiligte

• Pompella, Luca
• Tirino, Giuseppe
• Pappalardo, Annalisa
• Caterino, Marianna
• Ventriglia, Anna
• Nacca, Valeria
• Orditura, Michele
• Ciardiello, Fortunato
• De Vita, Ferdinando

Titel

Pancreatic Cancer Molecular Classifications: From Bulk Genomics to Single Cell Analysis

Ist Teil von

• International journal of molecular sciences, 2020-04, Vol.21 (8), p.2814

Ort / Verlag

Switzerland: MDPI AG

Erscheinungsjahr

2020

Quelle

MEDLINE

Beschreibungen/Notizen

• Pancreatic cancer represents one of the most lethal disease worldwide but still orphan of a molecularly driven therapeutic approach, although many genomic and transcriptomic classifications have been proposed over the years. Clinical heterogeneity is a hallmark of this disease, as different patients show different responses to the same therapeutic regimens. However, genomic analyses revealed quite a homogeneous disease picture, with very common mutations in four genes only (KRAS, TP53, CDKN2A, and SMAD4) and a long tail of other mutated genes, with doubtful pathogenic meaning. Even bulk transcriptomic classifications could not resolve this great heterogeneity, as many informations related to small cell populations within cancer tissue could be lost. At the same time, single cell analysis has emerged as a powerful tool to dissect intratumoral heterogeneity like never before, with possibility of generating a new disease taxonomy at unprecedented molecular resolution. In this review, we summarize the most relevant genomic, bulk and single-cell transcriptomic classifications of pancreatic cancer, and try to understand how novel technologies, like single cell analysis, could lead to novel therapeutic strategies for this highly lethal disease.