The Evolutionary Origins of Recurrent Pancreatic Cancer.
Hitomi SakamotoMarc A AttiyehJeffrey M GeroldAlvin P Makohon-MooreAkimasa HayashiJungeui HongRajya KappagantulaLance ZhangJerry P MelchorJohannes G ReiterAlexander HeydeCraig M BielskiAlexander V PensonMithat GönenDebyani ChakravartyEileen M O'ReillyLaura D WoodRalph H HrubanMartin A NowakNicholas D SocciBarry S TaylorChristine A Iacobuzio-DonahuePublished in: Cancer discovery (2020)
Surgery is the only curative option for stage I/II pancreatic cancer; nonetheless, most patients will experience a recurrence after surgery and die of their disease. To identify novel opportunities for management of recurrent pancreatic cancer, we performed whole-exome or targeted sequencing of 10 resected primary cancers and matched intrapancreatic recurrences or distant metastases. We identified that recurrent disease after adjuvant or first-line platinum therapy corresponds to an increased mutational burden. Recurrent disease is enriched for genetic alterations predicted to activate MAPK/ERK and PI3K-AKT signaling and develops from a monophyletic or polyphyletic origin. Treatment-induced genetic bottlenecks lead to a modified genetic landscape and subclonal heterogeneity for driver gene alterations in part due to intermetastatic seeding. In 1 patient what was believed to be recurrent disease was an independent (second) primary tumor. These findings suggest routine post-treatment sampling may have value in the management of recurrent pancreatic cancer. SIGNIFICANCE: The biological features or clinical vulnerabilities of recurrent pancreatic cancer after pancreaticoduodenectomy are unknown. Using whole-exome sequencing we find that recurrent disease has a distinct genomic landscape, intermetastatic genetic heterogeneity, diverse clonal origins, and higher mutational burden than found for treatment-naïve disease.See related commentary by Bednar and Pasca di Magliano, p. 762.This article is highlighted in the In This Issue feature, p. 747.
Keyphrases
- pi k akt
- signaling pathway
- copy number
- genome wide
- lymph node
- end stage renal disease
- cell proliferation
- machine learning
- chronic kidney disease
- oxidative stress
- bone marrow
- dna methylation
- ejection fraction
- deep learning
- combination therapy
- young adults
- mesenchymal stem cells
- risk factors
- rectal cancer
- percutaneous coronary intervention
- endothelial cells
- cancer therapy
- neural network
- patient reported outcomes