Acquired ESR1 mutations are a major mechanism of resistance to aromatase inhibitors (AI). We developed ultra-high sensitivity multiplexed digital PCR assays for ESR1 mutations in circulating tumor DNA (ctDNA) and used these to investigate the clinical relevance and origin of ESR1 mutations in a cohort of 171 women with advanced breast cancer. ESR1 mutation status in ctDNA showed high concordance with contemporaneous tumor biopsies, and could be assessed in samples shipped at room temperature in preservative tubes without loss of accuracy. ESR1 mutations were found exclusively in patients with estrogen receptor positive breast cancer previously exposed to AI. Patients with ESR1 mutations had a substantially shorter progression-free survival on subsequent AI-based therapy (HR 3.1, 95%CI 1.9-23.1, log rank p=0.0041). ESR1 mutation prevalence differed markedly between patients that were first exposed to AI during the adjuvant and metastatic settings (5.8% (3/52) vs 36.4% (16/44) respectively, p=0.0002). In an independent cohort, ESR1 mutations were identified in 0% (0/32, 95%CI 0-10.9%) tumor biopsies taken after progression on adjuvant AI. In a patient with serial samples taken during metastatic treatment, ESR1 mutation was selected during metastatic AI therapy, to become the dominant clone in the cancer. ESR1 mutations can be robustly identified with ctDNA analysis and predict for resistance to subsequent AI therapy. ESR1 mutations are rarely acquired during adjuvant AI therapy, but are commonly selected by therapy for metastatic disease, providing evidence that the mechanisms of resistance to targeted therapy may be substantially different between the treatment of micro-metastatic and overt metastatic cancer.

FGFR1 and FGFR2 are amplified in many tumor types, yet what determines response to FGFR inhibition in amplified cancers is unknown. In a translational clinical trial, we show that gastric cancers with high-level clonal FGFR2 amplification have a high response rate to the selective FGFR inhibitor AZD4547, whereas cancers with subclonal or low-level amplification did not respond. Using cell lines and patient-derived xenograft models, we show that high-level FGFR2 amplification initiates a distinct oncogene addiction phenotype, characterized by FGFR2-mediated transactivation of alternative receptor kinases, bringing PI3K/mTOR signaling under FGFR control. Signaling in low-level FGFR1-amplified cancers is more restricted to MAPK signaling, limiting sensitivity to FGFR inhibition. Finally, we show that circulating tumor DNA screening can identify high-level clonally amplified cancers. Our data provide a mechanistic understanding of the distinct pattern of oncogene addiction seen in highly amplified cancers and demonstrate the importance of clonality in predicting response to targeted therapy. Significance Robust single-agent response to FGFR inhibition is seen only in high-level FGFR-amplified cancers, with copy-number level dictating response to FGFR inhibition in vitro, in vivo, and in the clinic. High-level amplification of FGFR2 is relatively rare in gastric and breast cancers, and we show that screening for amplification in circulating tumor DNA may present a viable strategy to screen patients.

Background: A high percentage of patients diagnosed with localized colon cancer (CC) will relapse after curative treatment. Although pathological staging currently guides our treatment decisions, there are no biomarkers determining minimal residual disease (MRD) and patients are at risk of being undertreated or even overtreated with chemotherapy in this setting. Circulatingtumor DNA (ctDNA) can to be a useful tool to better detect risk of relapse.Patients and methods: One hundred and fifty patients diagnosed with localized CC were prospectively enrolled in our study. Tumor tissue from those patients was sequenced by a custom-targeted next-generation sequencing (NGS) panel to characterize somatic mutations. A minimum variant allele frequency (VAF) of 5% was applied for variant filtering. Orthogonal droplet digital PCR (ddPCR) validation was carried out. We selected known variants with higher VAF to track ctDNA in the plasma samples by ddPCR.Results: NGS found known pathological mutations in 132 (88%) primary tumors. ddPCR showed high concordance with NGS (r ¼ 0.77) for VAF in primary tumors. Detection of ctDNA after surgery and in serial plasma samples during follow-up were associated with poorer disease-free survival (DFS) [hazard ratio (HR), 17.56; log-rank P ¼ 0.0014 and HR, 11.33; log-rank P ¼ 0.0001, respectively]. Tracking at least two variants in plasma increased the ability to identify MRD to 87.5%. ctDNA was the only significantly independent predictor of DFS in multivariable analysis. In patients treated with adjuvant chemotherapy, presence of ctDNA after therapy was associated with early relapse (HR 10.02; log-rank P < 0.0001). Detection of ctDNA at followup preceded radiological recurrence with a median lead time of 11.5 months.Conclusions: Plasma postoperative ctDNA detected MRD and identified patients at high risk of relapse in localized CC. Mutation tracking with more than one variant in serial plasma samples improved our accuracy in predicting MRD.

Highlights d The endothelial marker PV-1 is an independent marker of CRC recurrence d Specific tumor-resident bacteria modulate PV-1 via a virf1dependent mechanism d Increased PV-1 detection correlates with bacteria translocation and liver metastases d Migrated bacteria induce the premetastatic niche in the liver

Statement of translational relevanceSensitive methods for recurrence risk stratification, monitoring therapeutic efficacy, and early recurrence detection may have a major impact on treatment decisions and outcomes for stage III colorectal cancer patients. Circulating tumor DNA assessments performed postoperative, postadjuvant, and serially during surveillance all allowed stratification of patients into high and low risk groups. CtDNA detected recurrence with a significant leadtime compared to CT-imaging and ctDNA growth rates were prognostic of survival.Treatment of ctDNA positive patients with standard adjuvant therapy prevented recurrence in only 20% of patients. Accordingly, further studies exploring the optimal treatment for ctDNA positive patients are needed, as well as interventional studies assessing the clinical utility of ctDNA-based risk-stratification. A promising opportunity is risk-stratified allocation of surveillance resources, which may improve both the cost-effectiveness and the overall clinical outcome of surveillance. Finally, ctDNA growth rates may identify patients who could benefit from immediate therapeutic intervention compared to awaiting recurrence.Research.

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