Pancreatic Cancer Molecular Classifications: From Bulk Genomics to Single Cell Analysis
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...
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| Format: | Article |
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MDPI AG
2020-04-01
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| Series: | International Journal of Molecular Sciences |
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| Online Access: | https://www.mdpi.com/1422-0067/21/8/2814 |
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| author | Luca Pompella Giuseppe Tirino Annalisa Pappalardo Marianna Caterino Anna Ventriglia Valeria Nacca Michele Orditura Fortunato Ciardiello Ferdinando De Vita |
| author_facet | Luca Pompella Giuseppe Tirino Annalisa Pappalardo Marianna Caterino Anna Ventriglia Valeria Nacca Michele Orditura Fortunato Ciardiello Ferdinando De Vita |
| author_sort | Luca Pompella |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T20:24:13Z |
| format | Article |
| id | doaj.art-724f22eb9b744c9681d6927888554cee |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-10T20:24:13Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-724f22eb9b744c9681d6927888554cee2023-11-19T21:57:51ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672020-04-01218281410.3390/ijms21082814Pancreatic Cancer Molecular Classifications: From Bulk Genomics to Single Cell AnalysisLuca Pompella0Giuseppe Tirino1Annalisa Pappalardo2Marianna Caterino3Anna Ventriglia4Valeria Nacca5Michele Orditura6Fortunato Ciardiello7Ferdinando De Vita8Division of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania “L. Vanvitelli”, Via Pansini n. 5, 80131 Naples, ItalyDivision of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania “L. Vanvitelli”, Via Pansini n. 5, 80131 Naples, ItalyDivision of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania “L. Vanvitelli”, Via Pansini n. 5, 80131 Naples, ItalyDivision of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania “L. Vanvitelli”, Via Pansini n. 5, 80131 Naples, ItalyDivision of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania “L. Vanvitelli”, Via Pansini n. 5, 80131 Naples, ItalyDivision of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania “L. Vanvitelli”, Via Pansini n. 5, 80131 Naples, ItalyDivision of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania “L. Vanvitelli”, Via Pansini n. 5, 80131 Naples, ItalyDivision of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania “L. Vanvitelli”, Via Pansini n. 5, 80131 Naples, ItalyDivision of Medical Oncology, Department of Precision Medicine, School of Medicine, University of Campania “L. Vanvitelli”, Via Pansini n. 5, 80131 Naples, ItalyPancreatic 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.https://www.mdpi.com/1422-0067/21/8/2814pancreatic cancergenomicssc-RNAseqtumor microenvironment |
| spellingShingle | Luca Pompella Giuseppe Tirino Annalisa Pappalardo Marianna Caterino Anna Ventriglia Valeria Nacca Michele Orditura Fortunato Ciardiello Ferdinando De Vita Pancreatic Cancer Molecular Classifications: From Bulk Genomics to Single Cell Analysis International Journal of Molecular Sciences pancreatic cancer genomics sc-RNAseq tumor microenvironment |
| title | Pancreatic Cancer Molecular Classifications: From Bulk Genomics to Single Cell Analysis |
| title_full | Pancreatic Cancer Molecular Classifications: From Bulk Genomics to Single Cell Analysis |
| title_fullStr | Pancreatic Cancer Molecular Classifications: From Bulk Genomics to Single Cell Analysis |
| title_full_unstemmed | Pancreatic Cancer Molecular Classifications: From Bulk Genomics to Single Cell Analysis |
| title_short | Pancreatic Cancer Molecular Classifications: From Bulk Genomics to Single Cell Analysis |
| title_sort | pancreatic cancer molecular classifications from bulk genomics to single cell analysis |
| topic | pancreatic cancer genomics sc-RNAseq tumor microenvironment |
| url | https://www.mdpi.com/1422-0067/21/8/2814 |
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