| Literature DB >> 33555482 |
Michaël Noë1,2, Seung-Mo Hong3, Laura D Wood1,2, Elizabeth D Thompson1, Nicholas J Roberts1,2, Michael G Goggins1,2,4, Alison P Klein1,2,5, James R Eshleman1,2, Scott E Kern1,2, Ralph H Hruban6,7.
Abstract
One way to understand ductal adenocarcinoma of the pancreas (pancreatic cancer) is to view it as unimaginably large numbers of evolving living organisms interacting with their environment. This "evolutionary view" creates both expected and surprising perspectives in all stages of neoplastic progression. Advances in the field will require greater attention to this critical evolutionary prospective.Entities:
Keywords: Darwin; Evolution; Intraductal papillary mucinous neoplasm; Pancreas cancer; Pancreatic cancer; Pancreatic intraepithelial neoplasia
Mesh:
Year: 2021 PMID: 33555482 PMCID: PMC8556193 DOI: 10.1007/s10555-020-09953-z
Source DB: PubMed Journal: Cancer Metastasis Rev ISSN: 0167-7659 Impact factor: 9.237
Germline variants and the risk of pancreatic cancer
| Gene | % of patients with pancreatic cancer | Increased Risk | Age 50+ | Age 70 |
|---|---|---|---|---|
| SEER USA population | – | 1 | 0.05% | 0.5% |
| Hereditary non-polyposis colorectal cancer (Lynch syndrome) genes | < 1 | 7–8 | 0.4% | 4% |
| 1–4 | 6 | 0.3% | 3% | |
| 2–7 | 2–6 | Up to 0.3% | Up to 3% | |
| Up to 1 | 1–2.5 | Up to 0.15% | ||
| < 1 | 2.4 | 0.12% | 1.2% | |
| 1–3 | 12–46 | Up to 2.3% | Up to 23% | |
| < 1 | 50–60 | 3% | 30% | |
| < 1 | 75–135 | 6.75% | Up to 67.5% | |
| < 1 | 6–7 | 0.35% | Up to 3.5% |
+Using the high end of the range of increased risk
Fig. 1Graphical representation of variants associated with risk of pancreatic cancer. Graph shows pancreatic cancer risk and prevalence of germline variant in patients with pancreatic cancer. Not all variants associated with risk of pancreatic cancer are shown. Size of each circle represents the prevalence of variant in general population. Rare high-risk variants in red. Common low-risk variants in green
Fig. 2The prevalence of a rare genetic variant (yellow balls) will increase significantly if it happens to pass through a population bottleneck
Fig. 3Proof-reading DNA replication is costly to cells in terms of energy and time
Fig. 4Although therapies may successfully kill most of the neoplastic cells, small populations of pre-existing neoplastic cells with genetic alterations that allow them to survive the selective pressure of the therapy will emerge to form drug-resistant clones
Fig. 5A trait that provides a selective advantage in one environment (white fur in the snow) may not provide a selective advantage in another (white fur on green grass)
Fig. 6The chance survival of one member of a population can lead to genetic drift. Sampling that population at a later date may give the erroneous impression that the population was selected for because it had a survival advantage
Fig. 7Most “varieties” never emerge through all of the bottlenecks. Pictured are Titanis known as the “terror” bird, a shoebill stork, and the dodo. All are extinct except for the shoebill