PURPOSE
Inherited germline defects are implicated in up to 10% of human
tumors, with particularly well-known roles in breast and ovarian cancers
that harbor BRCA1/2-mutated genes. There is also increasing
evidence for the role of germline alterations in other malignancies such as
colon and pancreatic cancers. Mutations in familial cancer genes can be
detected by high throughput sequencing (HTS), when applied to formalin-fixed
paraffin-embedded (FFPE) tumor specimens. However, due to often lack of
patient-matched control normal DNA and/or low tumor purity, there is limited
ability to determine the genomic status of these alterations (germline
versus somatic) and to assess the presence of loss of heterozygosity (LOH).
These analyses, especially when applied to genes such as
BRCA1/2, can have significant clinical implications for
patient care.
METHODS
LOHGIC (LOH-Germline Inference Calculator) is a statistical model
selection method to determine somatic-versus-germline status and predict LOH
for mutations identified via clinical grade, high-depth, hybrid-capture
tumor-only sequencing. LOHGIC incorporates statistical uncertainties
inherent to HTS as well as specimen biases in tumor purity estimates, which
we use to assess BRCA1/2 mutations in 1,636 specimens
sequenced at Rutgers Cancer Institute of New Jersey.
RESULTS
Evaluation of LOHGIC with available germline sequencing from
BRCA1/2 testing, demonstrates 93% accuracy, 100%
precision, and 96% recall. This analysis highlights a differential tumor
spectrum associated with BRCA1/2 mutations.
CONCLUSION
LOHGIC can assess LOH status for both germline and somatic mutations.
It also can be applied to any gene with candidate, inherited mutations. This
approach demonstrates the clinical utility of targeted sequencing in both
identifying patients with potential germline alterations in tumor suppressor
genes as well as estimating LOH occurrence in cancer cells, which may confer
therapeutic relevance.