Hereditary Colorectal Cancer DNA InsightSM

Approximately 25 percent of all cases of colorectal cancers can be attributed to heritable genetic changes.* Based on a simple saliva sample, Pathway Genomics’ Hereditary Colorectal Cancer DNA InsightSM uses next-generation sequencing (NGS) technology to identify genetic changes that increase a patient’s risk of developing certain types of cancer.

Understanding what genetic risk factors a patient possesses can help create personalized risk-reducing strategies and guide preventive measures.

Pathway Genomics can help to understand a patient’s cancer risk, facilitate genetic and medical counseling, as well as assist physicians in making informed health care decisions.

Patient Target Criteria for Testing

  • Early onset colorectal cancer
  • History of adenomas under the age of 50
  • Large clusters of adenomas (>10) at any age
  • History of ovarian, uterine, or other cancers in first or second-degree relatives

Benefits of Testing

  • Modifying frequency and age of onset for targeted cancer screening
  • Determining targeted risk reduction or preventive strategies
  • Identifying if additional family members may be at risk

Pathway Genomics’ Hereditary Colorectal Cancer DNA Insight tests a comprehensive list of known genes associated with colorectal cancer. In addition to the identification of known mutations, Pathway Genomics will analyze and interpret any additional genetic changes that are clinically significant.

Familial Studies Program

In the process of sequencing the patient's DNA, we may identify a genetic change with no clear cancer association, or a change in which conflicting data exist. These genetic changes are called variants of unknown significance (VUS). Pathway Genomics offers a complimentary Familial Studies Program to help understand the significance of these genetic changes, and how the patient and family members may be affected.

*Sameer AS. Colorectal cancer: molecular mutations and polymorphisms. Front Oncol. 2013 May 13;3:114. doi: 10.3389/fonc. 2013.00114. eCollection 2013.
PMID: 23717813.

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