Abstract
Molecular determination of the clonal relationships between multiple tumors in BRCA1|[sol]|2-associated breast and|[sol]|or ovarian cancer patients is clinically relevant : Modern Pathology
Female BRCA1
/2 mutation carriers affected with breast and
/or
ovarian cancer may develop new tumor deposits over time. It is of
utmost importance to know the clonal relationships between multiple
tumor localizations, enabling differentiation
between multiple primaries
or metastatic disease with consequences for therapy and prognosis. We
evaluated the value of targeted next generation sequencing in the
diagnostic workup of BRCA1
/2 mutation carriers with
≥2 tumor localizations and uncertain tumor origins. Forty-two female BRCA1
/2
mutation carriers with ≥2 tumor localizations were selected. Patients
with inconclusive tumor origin after histopathological revision were
‘cases’; patients with certain tumor origin of ≥3 tumors served as
‘controls’. Tumors of cases and controls were analyzed by targeted next
generation sequencing using a panel including CDKN2A, PTEN and TP53,
hotspot mutation sites for 27 different genes and 143 single nucleotide
polymorphisms for detection of loss of heterozygosity. Based on
prevalence of identical or different mutations and
/or
loss of heterozygosity patterns,
tumors were classified as ‘multiple
primaries’ or ‘one entity’. Conventional histopathology yielded a
conclusive result in 38
/42 (90
%)
of patients. Four cases and 10 controls were analyzed by next
generation sequencing. In 44 tumor samples, 48 mutations were found; 39
(81
%) concerned TP53 mutations. In all 4 cases,
the intra-patient clonal relationships between the tumor localizations
could be unequivocally identified by molecular analysis. In all
controls, molecular outcomes matched the conventional histopathological
results. In most BRCA1
/2 mutation carriers with
multiple tumors routine pathology work-up is sufficient to determine
tumor origins and relatedness. In case of inconclusive conventional
pathology results, molecular analyses using next generation sequencing
can reliably determine clonal relationships between tumors, enabling
optimal treatment of individual patients.