Peritoneal malignancies and metastasis are traditionally approached as a terminal disease, however with multiple lines of clinical therapy; long-term survival can be achieved in selected patients using aggressive cytoreduction and hyperthermic intraperitoneal chemotherapy. This is especially true for Pseudomyxoma peritonei from appendiceal neoplasms, peritoneal mesothelioma and peritoneal metastasis from colorectal cancer. In this article, we discuss the nature of genomic alterations in these three peritoneal malignancies and their potential as prognostic and therapeutic markers in clinical decisions. Genomic characterization of malignancies using technological advances including what is now widely used and accepted next-generation genomic sequencing methods has identified genomic anomalies (i.e. mutations, epigenetic modifications, transcription and expression changes in RNA) which is used for targeted therapy, prognostication, surveillance and prediction of response to therapy.
BackgroundOngoing efforts to further characterize the genomics of peritoneal malignancies and metastasis remain essential. Although the appendix is considered as a part of the colon, its cancer genomic landscape is very different from colorectal cancer, suggesting that much like the variation in right and left-sided CRC, regional variation in gastrointestinal tract (GIT) tissues contributes to the unique disease phenotype. Equally, in Pseudomyxoma peritonei (PMP) of appendiceal origin, the most common gene mutations are in KRAS and GNAS. In addition, unlike CRC, DNA microsatellite instability and mutations in housekeeping DNA repair genes are typically rare (approximately 3%) and is therefore not a common phenotype of PMP. Research and discovery are still needed on genomic alterations driving peritoneal metastasis from CRC, although there is some evidence that BRAF mutations are associated with higher incidence of peritoneal metastasis. A better understanding of disease pathways linked with genomic alteration would contribute to our clinical goals of personalized medicine.