Liquid Biopsy Blood Tests Detect CtDNA

Molecular alterations identified were compared to ctDNA and/or tissue obtained pre-treatment to identify mechanisms of acquired resistance. When possible, post-progression tumor biopsies were also analyzed. Serial ctDNA specimens were evaluated to determine if the change in ctDNA levels could predict response to targeted therapy.

The team found that in 35 patients, at least one molecular mechanism of resistance was identified in progression ctDNA in 28 patients (80%) with 15 (43%) exhibiting more than one resistance alteration (range 2-12, median 3). Overall, 72 total resistance alterations were identified. 14 patients had matched progression tumor biopsies, and resistance alterations were identified in nine (61%), all of which were detected in matched ctDNA. In 64% of these patients, additional resistance mechanisms not detected in the matched tumor biopsy, but were identified in ctDNA analysis. In seven patients with multiple progression tumor biopsies available, distinct metastases showed different resistance alterations, all of which were detectable in ctDNA, but in six (86%) of these patients, ctDNA detected additional resistance alterations not found despite multiple tumor biopsies, reflecting extensive heterogeneity.

The authors concluded that systematic ctDNA analysis at disease progression could effectively identify novel and heterogeneous mechanisms of acquired resistance in patients receiving targeted therapies for a range of molecularly defined GI cancers. Compared to parallel tumor biopsies, ctDNA more effectively captured the heterogeneity of acquired resistance mechanisms, which may be important to guide subsequent therapy. Real-time monitoring of ctDNA levels may also represent a potential approach to predict response and resistance to therapy.

Aparna Parikh, MD, a hematology oncology specialist and the senior author of the study, said, “We have shown that integrating regular liquid biopsies into our patients’ routine care is feasible and easily incorporated into clinical practice. This technology can precisely help us understand each patient’s individual disease course and allows us to tailor care based on an understanding of their specific disease biology.” The study was presented on June 30, 2017, at the ESMO 19th World Congress on Gastrointestinal Cancer, held in Barcelona, Spain.

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