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Published on: December 31, 2015
Adhesion molecules in peritoneal dissemination: function, prognostic relevance and therapeutic options
Nina Sluiter1, Erienne de Cuba1,2, Riom Kwakman1
1Department of Surgery, VU University Medical Centre, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Adhesion molecules are key to colorectal cancer spreading to the peritoneum. Integrin α2β1, CD44s, and MUC16 are most studied, with sLe(a) and MUC16 showing promise as prognostic biomarkers for patient selection.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Metastasis
Background:
- Peritoneal dissemination affects 10-25% of colorectal cancer patients.
- Cytoreductive surgery and hyperthermic intraperitoneal chemotherapy are used for selected patients.
- Earlier diagnosis and personalized treatment are needed, with biomarkers potentially playing a crucial role.
Purpose of the Study:
- To review the functional importance of adhesion molecules in peritoneal dissemination.
- To discuss prognostic, diagnostic, and therapeutic options of adhesion molecule biomarkers.
- To identify potential biomarkers for colorectal cancer peritoneal metastases.
Main Methods:
- Systematic literature search following PRISMA guidelines.
- Inclusion of 132 in vitro, ex vivo, and in vivo studies published between 1995 and 2013.
- Identification and analysis of adhesion molecules involved in peritoneal dissemination.
Main Results:
- Twelve potentially relevant adhesion molecules were identified.
- Integrin α2β1, CD44s, and MUC16 are the most studied molecules in tumor cell adhesion.
- sLe(a) and MUC16 emerged as promising prognostic biomarkers for colorectal peritoneal metastases.
- Different adhesion molecules are expressed in haematogenous and transcoelomic spread, suggesting distinct attachment processes.
Conclusions:
- Adhesion molecules are critical in colorectal cancer peritoneal dissemination.
- sLe(a) and MUC16 show potential for improving patient selection for treatment.
- Further research is needed as knowledge on metastasis-specific genes and biomarkers is incomplete.
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