| Literature DB >> 28344745 |
Torhild Veen1, Kjetil Søreide1.
Abstract
In resectable colorectal liver metastasis (CRLM) the role and use of molecular biomarkers is still controversial. Several biomarkers have been linked to clinical outcomes in CRLM, but none have so far become routine for clinical decision making. For several reasons, the clinical risk score appears to no longer hold the same predictive value. Some of the reasons include the ever expanding indications for liver resection, which now increasingly tend to involve extrahepatic disease, such as lung metastases (both resectable and non-resectable) and the shift in indication from "what is taken out" (e.g., how much liver has to be resected) to "what is left behind" (that is, how much functional liver tissue the patient has after resection). The latter is amenable to modifications by using adjunct techniques of portal vein embolization and the associating liver partition and portal vein ligation for staged hepatectomy techniques to expand indications for liver resection. Added to this complexity is the increasing number of molecular markers, which appear to hold important prognostic and predictive information, for which some will be discussed here. Beyond characteristics of tissue-based genomic profiles will be liquid biopsies derived from circulating tumor cells and cell-free circulating tumor DNA in the blood. These markers are present in the peripheral circulation in the majority of patients with metastatic cancer disease. Circulating biomarkers may represent more readily available methods to monitor, characterize and predict cancer biology with future implications for cancer care.Entities:
Keywords: Circulating tumor cell; Colorectal cancer; Disease-free survival; KRAS; Liver metastasis; Liver surgery; Molecular biomarkers; Overall survival
Year: 2017 PMID: 28344745 PMCID: PMC5348630 DOI: 10.4251/wjgo.v9.i3.98
Source DB: PubMed Journal: World J Gastrointest Oncol
The clinical risk score (as suggested by Fong et al[8])
| Nodal status of primary tumor (pN0 | - | + | |
| Disease-free interval | > 12 mo | < 12 mo | |
| Number of tumors | ≤ 1 | > 1 | |
| Pre-operative CEA level | ≤ 200 ng/mL | > 200 ng/mL | |
| Size of largest tumor | ≤ 5 cm | > 5 cm | |
| Score | |||
| 0 | 60% | ||
| 1 | 44% | ||
| 2 | 40% | ||
| 3 | 20% | ||
| 4 | 25% | ||
| 5 | 14% |
From primary tumor to discovery of liver metastasis. CEA: Carcino-embryonic antigen.
Figure 1Clinical and molecular influence on cancer biology in colorectal liver metastases. A: Clinical behaviour of colorectal cancer is determined by several factors, including demographic data (age, gender, race) and tumor presentation (location, stage) and timing of presentation of metastasis (synchronous or metachronous). Embedded in the cancer cells are the molecular pathways, which follows distinct forms of genomic instability yet with partly overlapping areas. Hypermutated cancers belong to the microsatellite instable (MSI) cancers and in part the CpG-island methylator phenotype (CIMP) cancers. Non-hypermutated cancers follow in large parts the chromosomal instability (CIN)-driven pathways, often involving KRAS mutations from an early stage. The propensity to develop metastasis may possibly be modified through the elevated microsatellite alterations at selected tetranucleotide repeat (EMAST) and associated mechanisms, such as regulation of microRNAs or activity and numbers of CD8+ immune cells. Finally, the microenvironment contains numerous factors that may facilitate or propagate metastasis to invade, spread and settle in a new organ sites, particularly the liver and the lungs; B: Determined by the clinical presentation, the genetic traits and molecular mechanisms, the prognosis in colorectal liver metastasis is related to resectabilty for long-term survival. Reprinted from Søreide K, Watson MM, Hagland HR. Deciphering the Molecular Code to Colorectal Liver Metastasis Biology Through Microsatellite Alterations and Allelic Loss: The Good, the Bad, and the Ugly. Gastroenterology 2016 Apr; 150 (4): 811-814, Copyright (2016), with permission from Elsevier.
Figure 2Translational cancer research design for investigation of cancer biology. The illustration is based on the ACROBATICC (Assessment of Clinically Related Outcomes and Biomarker Analysis for Translational Integration in Colorectal Cancer) project flow, see main article for details. Reproduced with permission from Søreide et al[39]. J Transl Med 2016; 14 (1): 192. © 2016 Søreide et al. CEA: Carcino-embryonic antigen; CT: Computed tomography; MR: Magnetic resonance.