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We examined the impact of spatial, temporal, histologic, and quantitative factors on concordance between TP53 alterations in tissue DNA vs in circulating tumor DNA (ctDNA). Four hundred and thirty-three patients underwent next-generation sequencing (NGS) in which both tissue and blood samples were evaluated. TP53 was detected in 258 of 433 patients (59.6%); 215 had tissue TP53 alterations (49.7%); 159, ctDNA (36.7%); and 116, both tissue and ctDNA (27.8%). Overall concordance rate between ctDNA and tissue biopsies for TP53 alterations was 67.2%; positive concordance was 45.0%. Overall concordance for TP53 did not vary among patients with ≤ 2 months vs > 6 months between test samples; however, positive concordance trended higher when time intervals between test samples were shorter, suggesting that the lack of difference in overall concordance may be due to the large number of negative/negative tests. There was a trend toward higher overall concordance based on biopsy site (metastatic vs primary) (P = 0.07) and significantly higher positive concordance if the tissue biopsy site was a metastatic lesion (P = 0.03). Positive concordance significantly decreased in noncolorectal cancer patients vs colorectal cancer patients (P = 0.02). Finally, higher %ctDNA was associated with higher concordance rates between blood and tissue (P < 0.001). Taken together, these data indicate that both blood and tissue DNA sequencing are necessary to evaluate the full scope of TP53 alterations, and that concordance rates may be related to multiple factors including, but not limited to, amount of ctDNA, histologic context, and site of tissue biopsy.
Pubmed ID: 32187847
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Database to store and display somatic mutation information and related details and contains information relating to human cancers. The mutation data and associated information is extracted from the primary literature. In order to provide a consistent view of the data a histology and tissue ontology has been created and all mutations are mapped to a single version of each gene. The data can be queried by tissue, histology or gene and displayed as a graph, as a table or exported in various formats.
Some key features of COSMIC are:
* Contains information on publications, samples and mutations. Includes samples which have been found to be negative for mutations during screening therefore enabling frequency data to be calculated for mutations in different genes in different cancer types.
* Samples entered include benign neoplasms and other benign proliferations, in situ and invasive tumours, recurrences, metastases and cancer cell lines.
