Search

Supplementary Figure 4. Individual ESR1 mutation detection and polyclonality in SoFEA and in EFECT

Supplementary Figure 2. Consort diagram of patients analysed from EFECT

Supplementary Figure 6. Progression free survival in monoclonal and polyclonal ESR1 mutations

Supplementary Data

Purpose:ESR1 mutations are acquired frequently in hormone receptor–positive metastatic breast cancer after prior aromatase inhibitors. We assessed the clinical utility of baseline ESR1 circulating tumor DNA (ctDNA) analysis in the two phase III randomized trials of fulvestrant versus exemestane.Experimental Design:The phase III EFECT and SoFEA trials randomized patients with hormone receptor–positive metastatic breast cancer who had progressed on prior nonsteroidal aromatase inhibitor therapy, between fulvestrant 250 mg and exemestane. Baseline serum samples from 227 patients in EFECT, and baseline plasma from 161 patients in SoFEA, were analyzed for ESR1 mutations by digital PCR. The primary objectives were to assess the impact of ESR1 mutation status on progression-free (PFS) and overall survival (OS) in a combined analysis of both studies.Results:ESR1 mutations were detected in 30% (151/383) baseline samples. In patients with ESR1 mutation detected, PFS was 2.4 months [95% confidence interval (CI), 2.0–2.6] on exemestane and 3.9 months (95% CI, 3.0–6.0) on fulvestrant [hazard ratio (HR), 0.59; 95% CI, 0.39–0.89; P = 0.01). In patients without ESR1 mutations detected, PFS was 4.8 months (95% CI, 3.7–6.2) on exemestane and 4.1 months (95% CI, 3.6–5.5) on fulvestrant (HR, 1.05; 95% CI, 0.81–1.37; P = 0.69). There was an interaction between ESR1 mutation and treatment (P = 0.02). Patients with ESR1 mutation detected had 1-year OS of 62% (95% CI, 45%–75%) on exemestane and 80% (95% CI, 68%–87%) on fulvestrant (P = 0.04; restricted mean survival analysis). Patients without ESR1 mutations detected had 1-year OS of 79% (95% CI, 71%–85%) on exemestane and 81% (95% CI, 74%–87%) on fulvestrant (P = 0.69).Conclusions:Detection of ESR1 mutations in baseline ctDNA is associated with inferior PFS and OS in patients treated with exemestane versus fulvestrant.

Supplementary Figure 1. Impact of DNA input amount on ESR1 mutation detection in EFECT

Supplementary Figure 5. Progression free survival by ESR1 mutation detected in ctDNA

Supplementary Figure 3. Time To Progression in EFECT by detection of ESR1 mutations in baseline serum

Background Detection of circulating tumour DNA (ctDNA) in patients (pts) who have completed treatment for early-stage triple negative breast cancer (TNBC) is associated with a very high risk of future relapse. Identifiying those at high risk of subsequent relapse may allow tailoring of further therapy to delay or prevent recurrence. The c-TRAK TN trial assessed the utility of prospective ctDNA surveillance in pts treated for TNBC and the activity of pembrolizumab (P) in pts with ctDNA detected.. Methods c-TRAK TN, a multi-centre phase II trial with integrated prospective screening component, enrolled pts with early-stage TNBC and either residual disease following neoadjuvant chemotherapy, or tumour size >20mm and/or axillary lymph node involvement if adjuvant chemotherapy was given. Tumour tissue was sequenced to identify somatic mutations suitable for tracking using personalised digital PCR ctDNA assays (BioRad QX200). Pts had “active” ctDNA surveillance via blood sample testing every 3 months to 12 months (potential up to 18 months if samples missed due to COVID) during which time if ctDNA was detected (ctDNA+) pts could be randomised 2:1 to P (200mg i.v. q 3 weeks for 1 year) or observation (Obs). Pts and clinicians were blinded to ctDNA+ results unless they were allocated P, when staging scans were done and those free of clinical recurrence started treatment. Following advice from the Independent Data Monitoring Committee, the Obs arm closed on 16/06/2020 with all subsequent ctDNA+ pts allocated P. Following the completion of active ctDNA surveillance, 3-monthly visits continued to 24 months to be analysed retrospectively. The aim was to recruit 150 pts to ctDNA surveillance, assuming 30% would be ctDNA+ within 12 months, allowing ctDNA+ rate to be estimated with a 2-sided 95%CI of +/- 7.3%. Co-primary endpoints are i) rates of ctDNA detection by 12 and 24 months from start of ctDNA surveillance; ii) rates of sustained ctDNA clearance on P defined as absence of detectable ctDNA, or disease recurrence 6 months after starting P.. Results 208 pts were registered between 30/01/18 and 06/12/19, 185 had tumour sequenced, 171 (92.4%) had trackable mutations, and 161 entered ctDNA surveillance. The rate of ctDNA detection by 12 months after start of surveillance was 27.3% (44/161, 95% CI 20.6-34.9). ctDNA+ rates from baseline, 3, 6, 9 and 12 month ctDNA samples were 23/161 (14.3%), 6/115 (5.2%), 6/99 (5.1%), 7/84 (8.3%), and 2/84 (2.4%) respectively. An additional 2 pts were ctDNA+ on COVID extended active surveillance at 15 (1/51, 2%) or 18 months (1/11, 9%). 7 pts relapsed without prior ctDNA detection. 45 pts entered the therapeutic component of the trial (initially 31 to P and 14 to Obs). 1 Obs pt was re-allocated to P. Of pts allocated to P, 72% (23/32) had metastatic disease at time of ctDNA detection on staging scans (75% (12/16) who were ctDNA+ at baseline and 69% (11/16) at other timepoints). 4 pts declined to start P, largely due to COVID concerns. Of the 5 pts who commenced P, at the time of analysis none achieved sustained ctDNA clearance and 4 had recurred. In pts allocated to Obs, median time to recurrence was 4.1 months (95% CI: 3.2-not-defined).. Conclusion The c-TRAK TN trial is to our knowledge the first study to assess the proof-of-principle of whether ctDNA assays have clinical utility in guiding further therapy in TNBC. Relatively few pts commenced P treatment precluding assessment of potential activity. At enrollment, patients had a relatively high of rate of undiagnosed metastatic disease when imaged. Our findings have implications for future trial design, emphasizing the importance of early start of ctDNA testing, and more sensitive and/or more frequent ctDNA testing regimes. Citation Format: Nicholas Turner, Claire Swift, Ben Jenkins, Lucy Kilburn, Maria Coakley, Matthew Beaney, Lisa Fox, Katie Goddard, Isaac Garcia-Murillas, Peter Hall, Catherine Harper-Wynne, Tamas Hickish, Sarah Kernaghan, Iain Macpherson, Alicia Okines, Carlo Palmieri, Sophie Perry, Katrina Randle, Claire Snowdon, Hilary Stobart, Andrew Wardley, Duncan Wheatley, Simon Waters, Matthew Winter, Judith Bliss. Primary results of the cTRAK TN trial: A clinical trial utilising ctDNA mutation tracking to detect minimal residual disease and trigger intervention in patients with moderate and high risk early stage triple negative breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr GS3-06.

PIK3CA is one of the two most frequently mutated genes in breast cancers, occurring in 30–40% of cases. Four frequent ‘hotspot’ PIK3CA mutations (E542K, E545K, H1047R and H1047L) account for 80–90% of all PIK3CA mutations in human malignancies and represent predictive biomarkers. Here we describe a PIK3CA mutation specific nuclease-based enrichment assay, which combined with a low-cost real-time qPCR detection method, enhances assay detection sensitivity from 5% for E542K and 10% for E545K to 0.6%, and from 5% for H1047R to 0.3%. Moreover, we present a novel flexible prediction method to calculate initial mutant allele frequency in tissue biopsy and blood samples with low mutant fraction. These advancements demonstrated a quick, accurate and simple detection and quantitation of PIK3CA mutations in two breast cancer cohorts (first cohort n = 22, second cohort n = 25). Hence this simple, versatile and informative workflow could be applicable for routine diagnostic testing where quantitative results are essential, e.g. disease monitoring subject to validation in a substantial future study.

Purpose: ESR1 mutations are acquired frequently in hormone receptor–positive metastatic breast cancer after prior aromatase inhibitors. We assessed the clinical utility of baseline ESR1 circulating tumor DNA (ctDNA) analysis in the two phase III randomized trials of fulvestrant versus exemestane. Experimental Design: The phase III EFECT and SoFEA trials randomized patients with hormone receptor–positive metastatic breast cancer who had progressed on prior nonsteroidal aromatase inhibitor therapy, between fulvestrant 250 mg and exemestane. Baseline serum samples from 227 patients in EFECT, and baseline plasma from 161 patients in SoFEA, were analyzed for ESR1 mutations by digital PCR. The primary objectives were to assess the impact of ESR1 mutation status on progression-free (PFS) and overall survival (OS) in a combined analysis of both studies. Results: ESR1 mutations were detected in 30% (151/383) baseline samples. In patients with ESR1 mutation detected, PFS was 2.4 months [95% confidence interval (CI), 2.0–2.6] on exemestane and 3.9 months (95% CI, 3.0–6.0) on fulvestrant [hazard ratio (HR), 0.59; 95% CI, 0.39–0.89; P = 0.01). In patients without ESR1 mutations detected, PFS was 4.8 months (95% CI, 3.7–6.2) on exemestane and 4.1 months (95% CI, 3.6–5.5) on fulvestrant (HR, 1.05; 95% CI, 0.81–1.37; P = 0.69). There was an interaction between ESR1 mutation and treatment (P = 0.02). Patients with ESR1 mutation detected had 1-year OS of 62% (95% CI, 45%–75%) on exemestane and 80% (95% CI, 68%–87%) on fulvestrant (P = 0.04; restricted mean survival analysis). Patients without ESR1 mutations detected had 1-year OS of 79% (95% CI, 71%–85%) on exemestane and 81% (95% CI, 74%–87%) on fulvestrant (P = 0.69). Conclusions: Detection of ESR1 mutations in baseline ctDNA is associated with inferior PFS and OS in patients treated with exemestane versus fulvestrant.

Background: Circulating tumor DNA (ctDNA) is found in the plasma of over 90% of patients with advanced breast cancer (BC). ctDNA analysis can establish the current genomic profile of an individual’s cancer and identify potentially targetable mutations. The genomic landscape of advanced BC and clinical associations has yet to be fully defined. This analysis describes the genomic landscape of ctDNA in patients screened for the UK plasmaMATCH study. Methods: The plasmaMATCH trial was an open-label, multi-centre, multi-cohort platform trial, consisting of ctDNA testing in ~1000 patients with advanced BC. The trial consists of parallel treatment cohorts (Cohorts A-E) with therapies matched to mutations identified in ctDNA testing. The genomic landscape of ctDNA in advanced BC was prospectively analysed for hotspot PIK3CA,AKT1, HER2 and ESR1 mutations using digital droplet PCR (ddPCR, Bio-Rad), and using an error-corrected 73-gene targeted panel (Guardant360, Guardant Health) prospectively from part-way through the trial, and retrospectively for the remaining patients. Results: Entry into ctDNA testing for Cohorts A-D was closed on 26/Apr/2019, at which time 1044 patients had been registered and 1025 tested with ddPCR. 800 patients had targeted panel ctDNA sequencing (364 prospective, 436 retrospective) (Table 1). Targeted sequencing identified a somatic alteration in 92.9% of patients (743/800). The most frequent mutations were TP53 (44.1%), PIK3CA (34.9%), ESR1 (33.1%), GATA3 (11.0%) and ARID1A (7.8%). ESR1 (33.1%) and KRAS (4.1%) alterations occurred at higher frequency in ctDNA compared to a metastatic tissue sequencing series (q Genomic AlterationddPCR*Targeted Panel**All % n = 1025HR+ HER2-% n = 658HR+ HER2+ % n = 62HR- HER2+ % n = 36TNBC % n = 172All % n = 800HR+ HER2- % n = 515HR+ HER2+ % n = 48HR- HER2+ % n = 26TNBC % n = 136PIK3CA mutation25.829.933.919.49.334.939.041.734.614.7ESR1 mutation27.737.819.40033.143.522.900.7AKT1 mutation4.24.01.604.75.05.22.104.4ERBB2 mutation2.73.208.31.26.46.612.515.42.2PTEN mutationNANANANANA6.98.54.23.84.4ERBB2 amplificationNANANANANA5.81.931.357.71.5MSI highNANANANANA1.10.42.101.5* Phenotype data based on 928 patients with known phenotype tested by ddPCR for targetable hotspot mutations.** Phenotype data based on 725 patients with known phenotype sequenced by targeted panel. All pathogenic mutations are shown, including mutations not tested by ddPCR. Citation Format: Belinda Kingston, Hannah Bye, Michael Hubank, Giselle Walsh, Claire Swift, Matthew Beaney, Lucy Kilburn, Sarah Kernaghan, Andrew M Wardley, Iain Macpherson, Richard D Baird, Rebecca Roylance, Katie Wilkinson, Isaac Garcia-Murillas, Judith M Bliss, Nicholas Turner, Alistair Ring, on behalf of the plasmaMATCH Trial Management Group. The genomic landscape of breast cancer based on ctDNA analysis: Data from the plasmaMATCH trial [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr GS3-07.

BACKGROUND Circulating tumor DNA (ctDNA) assays are increasingly used for clinical decision-making, but it is unknown how well different assays agree. We aimed to assess the agreement in ctDNA mutation calling between BEAMing (beads, emulsion, amplification, and magnetics) and droplet digital PCR (ddPCR), 2 of the most commonly used digital PCR techniques for detecting mutations in ctDNA. METHODS Baseline plasma samples from patients with advanced breast cancer enrolled in the phase 3 PALOMA-3 trial were assessed for ESR1 and PIK3CA mutations in ctDNA with both BEAMing and ddPCR. Concordance between the 2 approaches was assessed, with exploratory analyses to estimate the importance of sampling effects. RESULTS Of the 521 patients enrolled, 363 had paired baseline ctDNA analysis. ESR1 mutation detection was 24.2% (88/363) for BEAMing and 25.3% (92/363) for ddPCR, with good agreement between the 2 techniques (κ = 0.9l; 95% CI, 0.85–0.95). PIK3CA mutation detection rates were 26.2% (95/363) for BEAMing and 22.9% (83/363) for ddPCR, with good agreement (κ = 0.87; 95% CI, 0.81–0.93). Discordancy was observed for 3.9% patients with ESR1 mutations and 5.0% with PIK3CA mutations. Assessment of individual mutations suggested higher rates of discordancy for less common mutations (P = 0.019). The majority of discordant calls occurred at allele frequency CONCLUSIONS This large, clinically relevant comparison showed good agreement between BEAMing and ddPCR, suggesting sufficient reproducibility for clinical use. Much of the observed discordancy may be related to sampling effects, potentially explaining many of the differences in the currently available ctDNA literature.

The genomics of advanced breast cancer (ABC) has been described through tumour tissue biopsy sequencing, although these approaches are limited by geographical and temporal heterogeneity. Here we use plasma circulating tumour DNA sequencing to interrogate the genomic profile of ABC in 800 patients in the plasmaMATCH trial. We demonstrate diverse subclonal resistance mutations, including enrichment of HER2 mutations in HER2 positive disease, co-occurring ESR1 and MAP kinase pathway mutations in HR + HER2− disease that associate with poor overall survival (p = 0.0092), and multiple PIK3CA mutations in HR + disease that associate with short progression free survival on fulvestrant (p = 0.0036). The fraction of cancer with a mutation, the clonal dominance of a mutation, varied between genes, and within hotspot mutations of ESR1 and PIK3CA. In ER-positive breast cancer subclonal mutations were enriched in an APOBEC mutational signature, with second hit PIK3CA mutations acquired subclonally and at sites characteristic of APOBEC mutagenesis. This study utilises circulating tumour DNA analysis in a large clinical trial to demonstrate the subclonal diversification of pre-treated advanced breast cancer, identifying distinct mutational processes in advanced ER-positive breast cancer, and novel therapeutic opportunities., Circulating tumour DNA can provide useful information on disease burden. Here, the authors analysed circulating tumour DNA from 800 patients from a breast cancer clinical trial and investigate the subclonal nature of the disease, and identify DNA mutations associated with resistance and poor survival.

Introduction: Identification of Molecular Residual Disease (MRD) by circulating tumour DNA (ctDNA) analysis has the potential to transform the clinical management of patients with early breast cancer. We present results from a proof-of-principle study to assess ctDNA analysis following primary surgery to identify MRD and anticipate which patients are at risk of relapse. Methods: Early breast cancer patients receiving primary surgery for breast cancer (48 total), enrolled in the PlasmaDNA/ITH sample collection studies were included in the analysis. Tumour DNA from FFPE samples was whole exome sequenced to identify patient specific mutations and design personalized Signatera ctDNA assays. Plasma samples were collected pre-surgery (n=31), 1-14 weeks post-surgery and prior to adjuvant therapy (n=48), and following adjuvant chemotherapy (n=36). Cell free DNA was extracted from a total of 144 plasma samples (median volume 3.6ml, range 1.8-4.7ml) and sequenced with Signatera ctDNA assays. Primary objective was to assess whether relapse free survival (RFS) and distant metastasis free survival (DMFS) are worse in patients with ctDNA detected at the post-surgery timepoint compared to those without ctDNA detected. Results: Median age was 50.5 years, 34 had hormone receptor positive HER2 negative (HR+HER2-), 5 HER2 positive and 9 triple negative breast cancer (TNBC), 32 were stage 1-2 and 16 were stage 3-4. At a median follow-up of 60 months post-surgery, 8 patients had relapsed. ctDNA was detected in the single post-surgery timepoint in 29% (14/48) of patients, and detected in 62.5% (5/8) of patients who relapsed. RFS in patients with ctDNA detected at a single post-surgery timepoint was worse than those with no detected ctDNA although it was not statistically significant (Hazard Ratio (HR): 3.7; 95% CI, 0.9-15.6; P=0.07), while ctDNA detection associated with worse DMFS (HR: 5.6; 95% CI, 1.1-29-3; P=0.04). DMFS at 4 years follow-up in those with MRD ctDNA detection was 0.78 (95% CI 0.47-0.92) and those without MRD detection was 0.97 (95% CI 0.80-0.99). In patients with a pre-surgical timepoint (n=31), 64.5% (20/31) had ctDNA detected. Detection of ctDNA at either pre-surgery or post-surgery was associated with worse outcomes compared to no ctDNA detection at both RFS (HR: 7.9; 95% CI, 0.9-64.7; P=0.05) and DMFS (HR: 6.7; 95% CI, 0.8-55.8; P=0.07). Conclusions: In this proof-of-principle study of early-stage breast cancer patients, ctDNA-detected MRD at a single post-surgical timepoint was associated with distant metastasis free survival. The majority of patients with ctDNA detected MRD did not relapse, during the period of follow-up, possibly suggesting activity of adjuvant therapy in these patients. Further assessment is warranted on the prognostic impact of ctDNA MRD detection, and its possible role in adjuvant chemotherapy selection. Citation Format: Isaac Garcia-Murillas, Rosalind J Cutts, Lara Ulrich, Matthew Beaney, Marie Robert, Maria Coakley, Catey Bunce, Giselle WalshCrestani, Sarah Hrebien, Ekaterina Kalashnikova, Hsin-Ta Wu, Scott Dashner, Himanshu Sethi, Alexey Aleshin, Alistair Ring, Alicia Okines, Ian E Smith, Mitch Dowsett, Peter Barry, Nicholas C Turner. Detection of ctDNA following surgery predicts relapse in breast cancer patients receiving primary surgery [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P2-01-10.

Background Selection of resistance mutations may play a major role in the development of endocrine resistance. ESR1 mutations are rare in primary breast cancer but have high prevalence in patients treated with aromatase inhibitors (AI) for advanced breast cancer. We investigated the evolution of genetic resistance to the first-line AI therapy using sequential ctDNA sampling in patients with advanced breast cancer. Patients and methods Eighty-three patients on the first-line AI therapy for metastatic breast cancer were enrolled in a prospective study. Plasma samples were collected every 3 months to disease progression and ctDNA analysed by digital droplet PCR and enhanced tagged-amplicon sequencing (eTAm-Seq). Mutations identified in progression samples by sequencing were tracked back through samples before progression to study the evolution of mutations on therapy. The frequency of novel mutations was validated in an independent cohort of available baseline plasma samples in the Study of Faslodex versus Exemestane with or without Arimidex (SoFEA) trial, which enrolled patients with prior sensitivity to AI. Results Of the 39 patients who progressed on the first-line AI, 56.4% (22/39) had ESR1 mutations detectable at progression, which were polyclonal in 40.9% (9/22) patients. In serial tracking, ESR1 mutations were detectable median 6.7 months (95% confidence interval 3.7–NA) before clinical progression. Utilising eTAm-Seq ctDNA sequencing of progression plasma, ESR1 mutations were demonstrated to be sub-clonal in 72.2% (13/18) patients. Mutations in RAS genes were identified in 15.4% (6/39) of progressing patients (4 KRAS, 1 HRAS, 1 NRAS). In SoFEA, KRAS mutations were detected in 21.2% (24/113) patients although there was no evidence that KRAS mutation status was prognostic for progression free or overall survival. Conclusions Cancers progressing on the first-line AI show high levels of genetic heterogeneity, with frequent sub-clonal mutations. Sub-clonal KRAS mutations are found at high frequency. The genetic diversity of AI resistant cancers may limit subsequent targeted therapy approaches.

Purpose ESR1 mutations are selected by prior aromatase inhibitor (AI) therapy in advanced breast cancer. We assessed the impact of ESR1 mutations on sensitivity to standard therapies in two phase III randomized trials that represent the development of the current standard therapy for estrogen receptor–positive advanced breast cancer. Materials and Methods In a prospective-retrospective analysis, we assessed ESR1 mutations in available archived baseline plasma from the SoFEA (Study of Faslodex Versus Exemestane With or Without Arimidex) trial, which compared exemestane with fulvestrant-containing regimens in patients with prior sensitivity to nonsteroidal AI and in baseline plasma from the PALOMA3 (Palbociclib Combined With Fulvestrant in Hormone Receptor–Positive HER2-Negative Metastatic Breast Cancer After Endocrine Failure) trial, which compared fulvestrant plus placebo with fulvestrant plus palbociclib in patients with progression after receiving prior endocrine therapy. ESR1 mutations were analyzed by multiplex digital polymerase chain reaction. Results In SoFEA, ESR1 mutations were found in 39.1% of patients (63 of 161), of whom 49.1% (27 of 55) were polyclonal, with rates of mutation detection unaffected by delays in processing of archival plasma. Patients with ESR1 mutations had improved progression-free survival (PFS) after taking fulvestrant (n = 45) compared with exemestane (n = 18; hazard ratio [HR], 0.52; 95% CI, 0.30 to 0.92; P = .02), whereas patients with wild-type ESR1 had similar PFS after receiving either treatment (HR, 1.07; 95% CI, 0.68 to 1.67; P = .77). In PALOMA3, ESR1 mutations were found in the plasma of 25.3% of patients (91 of 360), of whom 28.6% (26 of 91) were polyclonal, with mutations associated with acquired resistance to prior AI. Fulvestrant plus palbociclib improved PFS compared with fulvestrant plus placebo in both ESR1 mutant (HR, 0.43; 95% CI, 0.25 to 0.74; P = .002) and ESR1 wild-type patients (HR, 0.49; 95% CI, 0.35 to 0.70; P < .001). Conclusion ESR1 mutation analysis in plasma after progression after prior AI therapy may help direct choice of further endocrine-based therapy. Additional confirmatory studies are required.

CDK4/6 inhibition substantially improves progression-free survival (PFS) for women with advanced estrogen receptor-positive breast cancer, although there are no predictive biomarkers. Early changes in circulating tumor DNA (ctDNA) level may provide early response prediction, but the impact of tumor heterogeneity is unknown. Here we use plasma samples from patients in the randomized phase III PALOMA-3 study of CDK4/6 inhibitor palbociclib and fulvestrant for women with advanced breast cancer and show that relative change in PIK3CA ctDNA level after 15 days treatment strongly predicts PFS on palbociclib and fulvestrant (hazard ratio 3.94, log-rank p = 0.0013). ESR1 mutations selected by prior hormone therapy are shown to be frequently sub clonal, with ESR1 ctDNA dynamics offering limited prediction of clinical outcome. These results suggest that early ctDNA dynamics may provide a robust biomarker for CDK4/6 inhibitors, with early ctDNA dynamics demonstrating divergent response of tumor sub clones to treatment.

IMPORTANCE: Current treatment cures most cases of early-stage, primary breast cancer. However, better techniques are required to identify which patients are at risk of relapse. OBJECTIVE: To assess the clinical validity of molecular relapse detection with circulating tumor DNA (ctDNA) analysis in early-stage breast cancer. DESIGN, SETTING, AND PARTICIPANTS: This prospective, multicenter, sample collection, validation study conducted at 5 United Kingdom medical centers from November 24, 2011, to October 18, 2016, assessed patients with early-stage breast cancer irrespective of hormone receptor and ERBB2 (formerly HER2 or HER2/neu) status who were receiving neoadjuvant chemotherapy followed by surgery or surgery before adjuvant chemotherapy. The study recruited 170 women, with mutations identified in 101 patients forming the main cohort. Secondary analyses were conducted on a combined cohort of 144 patients, including 43 patients previously analyzed in a proof of principle study. INTERVENTIONS: Primary tumor was sequenced to identify somatic mutations, and personalized tumor-specific digital polymerase chain reaction assays were used to monitor these mutations in serial plasma samples taken every 3 months for the first year of follow-up and subsequently every 6 months. MAIN OUTCOMES AND MEASURES: The primary end point was relapse-free survival analyzed with Cox proportional hazards regression models. RESULTS: In the main cohort of 101 female patients (mean [SD] age, 54 [11] years) with a median follow-up of 35.5 months (interquartile range, 27.9-43.0 months), detection of ctDNA during follow-up was associated with relapse (hazard ratio, 25.2; 95% CI, 6.7-95.6; P

Background. Detection of circulating tumor DNA (ctDNA) after treatment of early stage breast cancer may identify molecular residual disease. In a prior proof-of-principle study we demonstrated that detection of ctDNA predicted relapse with high accuracy (Garcia-Murillas et al Science Trans Med 2015). We conducted an independent, prospective, multi-centre validation study. Methods. In this validation study, a cohort of 170 early stage breast cancer patients were recruited from five hospitals into two prospective sample collection studies. Patients were scheduled to receive standard chemotherapy, surgery +/- radiotherapy, adjuvant endocrine therapy and HER2 antibodies as appropriate. Plasma samples were collected for ctDNA analysis at baseline, post-surgery, three monthly for the first year of follow-up, and six monthly thereafter and shipped to a central lab for processing. Using previously established criteria, tumor was sequenced to identify somatic mutations that were tracked by digital PCR in DNA extracted from 4mls of plasma at all available time points. Buffy coat DNA was analysed at all time-points to control for clonal haematopoesis of indeterminate potential (CHIP) detection. The primary endpoint was to compare invasive disease free survival between patients with and without detection of ctDNA after treatment. A combined analysis of this validation study, and the prior proof-of-principle study, was also conducted to analyse secondary endpoints. Results. After tumor sequencing, 101 patients from the validation study had at least one mutation to track. At median 35.5 months follow-up, ctDNA was detected in plasma of 15.8% (16/101) patients. Detection of ctDNA strongly predicted relapse, hazard ratio 24.5 (95% CI 6.5 to 93.2, P In the combined analysis (N=144), lead-time between ctDNA detection and relapse was 10.7 months (95% CI 7.7-17.0). Six patients had a clinical relapse that was not detected by ctDNA prior to relapse. These patients had a distinct pattern of oligo-metastatic relapse, 3 patients with brain-only metastases (P=0.0068), 1 ovarian oligo-metastasis and 2 local disease recurrence. The level of ctDNA in baseline plasma, prior to treatment, was associated with tumor subtype, highest in triple negative breast cancer (P=0.0036). Conclusion. Detection of ctDNA after treatment is associated with a high risk of future relapse in early-stage breast cancer. Prospective studies are required to assess the potential of molecular residual disease detection to guide adjuvant therapy. Citation Format: Turner N, Garcia-Murillas I, Chopra N, Comino-Mendez I, Beaney M, Tovey H, Cutts R, Swift C, Kriplani D, Afentakis M, Hrebien S, Walsh G, Johnston S, Ring A, Russell S, Evans A, Skene A, Wheatley D, Dowsett M, Smith I. Molecular residual disease detection with circulating tumor DNA analysis predicts relapse in patients with early stage breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P4-01-01.

Background In a previous proof-of-principle study we demonstrated that detection of circulating tumour DNA (ctDNA) in the adjuvant setting, after completion of surgery and chemotherapy for early stage breast cancer, was associated with a high risk of early relapse. Here we present longer follow-up of the same series, to define the predictive power of ctDNA analysis for disease free survival, and assess the potential to predict overall survival. Methods We recruited a cohort of 55 women presenting with early stage, primary breast cancer, who were all scheduled to receive neo-adjuvant chemotherapy. The primary tumour was sequenced to identify somatic mutations, identifying at least one mutation in 43 patients. Mutations were tracked with digital PCR to identify ctDNA, in plasma samples taken either at a single post-surgical time point (2-6 weeks post-surgery) or with serial plasma samples taken every 6 months in the adjuvant setting. Results At a median 31.7 months follow-up, 42% (18/43) patients had relapsed. Detection of ctDNA at the single post-surgical time point was associated with poor disease free survival, HR=13.6 95%CI (4.5, 41.2) p Conclusion Detection of ctDNA in the adjuvant setting has a high predictive power for future relapse and death from breast cancer. Therapeutic trials are required to determine whether mutation tracking identifies relapse sufficiently early to allow for further adjuvant therapy. Citation Format: Turner NC, Garcia-Murillas I, Chopra N, Beaney M, Kilburn L, Cutts R, Osin P, Nerurkar A, Schiavon G, Hrebien S, Bliss J, Dowsett M, Smith I. Circulating tumor DNA analysis to predict relapse and overall survival in early breast cancer – Longer follow-up of a proof-of-principle study [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-02-01.

1001Background: CDK4/6 inhibition combined with endocrine therapy is now a standard of care for advanced estrogen receptor (ER) positive breast cancer. Mechanisms of resistance to CDK4/6 inhibitors...

This abstract was withdrawn by the authors.

1015 Background: Selection of resistance mutations may play a major role in the development of endocrine resistance. ESR1 mutations are rare in primary breast cancer but have a high prevalence in patients treated with aromatase inhibitors (AI) for advanced breast cancer. We investigated the evolution of genetic resistance to first line AI therapy using sequential ctDNA sampling in patients with advanced breast cancer. Methods: Seventy-one patients on first line AI therapy for metastatic breast cancer were enrolled in a prospective study to collect plasma samples for ctDNA analysis every three months on therapy, and at disease progression. All plasma samples were analysed with ESR1 multiplex digital PCR assays, and samples at disease progression were analysed by InVision (enhanced tagged-amplicon sequencing). Mutations were tracked back through samples prior to disease progression to study the evolution of mutations on therapy. Results: Of the 34 patients who progressed on first line AI, 53% (18/34) had ESR1 mutations detectable at progression. Sequencing of progression plasma ctDNA identified polyclonal RAS mutations in 10.7% (3/28) progressing patients (2 polyclonal KRAS, 1 monoclonal HRAS), all of whom also had ESR1 mutations, and a patient with an activating p.R248C FGFR3 mutation. ESR1 mutations were subclonal in 78.6% (11/14) patients, with all RAS mutations being rare subclones. In serial tracking prior to progression, ESR1 mutations were detectable in plasma with a median of 5.3 months (95% CI 2.9-NA) prior to clinical progression. Conclusions: ESR1 mutations are found at high frequency in patients progressing on AI, but are frequently sub-clonal and may not be the sole driver of AI resistance in these patients. Poly-clonal KRAS mutations are identified as a novel mechanism of resistance to AI, associated with detection of ESR1 mutations.

1018 Background: Palbociclib improves progression free survival (PFS) in patients with advanced, hormone receptor positive, HER2-negative breast cancer. There are currently no biomarkers to predict sensitivity to palbociclib. We investigated if early circulating tumour DNA (ctDNA) dynamics could predict clinical outcome on palbociclib (Palbo) and fulvestrant (F) in the PALOMA-3 trial. Methods: Plasma samples were prospectively collected in PALOMA-3 for ctDNA analysis at baseline, cycle 1 day 15 (D15) and end of treatment (EOT), and were screened for PIK3CA and ESR1 mutations using digital PCR. The primary objective was to assess whether early dynamic changes in PIK3CA mutations would predict PFS in patients treated with Palbo + F. Suppression of PIK3CA ctDNA levels below an optimised cut-off at cycle 1 D15, relative to baseline levels, was termed a ‘circulating DNA ratio (CDR) response. Results: PIK3CA mutations were identified in 22.0% (100/455) of screened baseline samples with 52 of these randomised to Palbo + F and having matched D15 samples. Patients on Palbo + F with a CDR response had a median PFS of 11.2 months (95%CI 11.1 – undefined) whereas patients on Palbo + F without a CDR response had a median PFS of 4.1 months (95%CI 3.6 – 5.5) (HR for no CDR response 4.92, 95% CI 1.98 – 12.26, p = 0.0002). Overall, Palbo + F suppressed D15 PIK3CA ctDNA levels to a greater extent than placebo + F (p

This abstract was withdrawn by the authors.

Circulating tumor DNA (ctDNA) analysis has the potential to allow non-invasive analysis of tumor mutations in advanced cancer. In this study we assessed the reproducibility of digital PCR (dPCR) assays of circulating tumor DNA in a cohort of patients with advanced breast cancer and assessed delayed plasma processing using cell free DNA preservative tubes. We recruited a cohort of 96 paired samples from 71 women with advanced breast cancer who had paired blood samples processed either immediately or delayed in preservative tubes with processing 48-72 hours after collection. Plasma DNA was analysed with multiplex digital PCR (mdPCR) assays for hotspot mutations in PIK3CA, ESR1 and ERBB2, and for AKT1 E17K. There was 94.8% (91/96) agreement in mutation calling between immediate and delayed processed tubes, kappa 0.88 95% CI 0.77-0.98). Discordance in mutation calling resulted from low allele frequency and likely stochastic effects. In concordant samples there was high correlation in mutant copies per ml plasma (r2 = 0.98; p

Background. ESR1 mutations are selected by prior aromatase inhibitor (AI) therapy for advanced breast cancer. We addressed the impact of ESR1 mutations on sensitivity to standard therapies in SoFEA and PALOMA3, two phase III randomised trials that represent the trends in the current therapy for estrogen receptor positive advanced breast cancer. Methods. We assessed plasma DNA ESR1 mutations in the SoFEA trial that compared exemestane with fulvestrant-containing regimens in patients with prior sensitivity to non-steroidal AI, and in the PALOMA3 trial that compared fulvestrant plus placebo with fulvestrant plus palbociclib in patients with progression on prior endocrine therapy. We developed and validated multiplex digital droplet PCR assays to detect ESR1 mutations in circulating free DNA. Plasma had been immediately processed in PALOMA3 but there was a delay of up to 9 days before processing of EDTA samples in the SoFEA trial. Results. In SoFEA we demonstrated that delayed processing of plasma samples had no effect on detection rate of ESR1 mutations (p = 0.71), which were found in 39.1%(63/161) patients. Patients with ESR1 mutations had improved progression free survival (PFS) on fulvestrant compared to exemestane (HR = 0.52, 95%CI 0.30 to 0.92, p = 0.02), while patients with wild type ESR1 had similar PFS on either treatment (HR = 1.07, 95%CI 0.68 to 1.67, p = 0.77). In PALOMA3, ESR1 mutations were found in the plasma of 25.3%(91/360) patients. ESR1 mutations were almost exclusively found in patients with prior AI exposure with or without tamoxifen, and were very rare with prior tamoxifen exposure only (28.9% (90/311) versus 2.0% (1/49) respectively, p endocrine therapy (sensitive to prior endocrine therapy, 29.8% (85/285) versus resistant 8.0% (6/75), p Conclusions. ESR1 mutation analysis in plasma after progression on prior AI therapy has clinical utility in directing choice of further endocrine therapy. Citation Format: Ben O’Leary, Charlotte Fribbens, Lucy Kilburn, Sarah Hrebein, Isaac Garcia-Murillas, Matthew Beaney, Massimo Cristofanilli, Fabrice Andre, Sherene Loi, Sibylle Loibl, John Jiang, Cynthia Huang Bartlett, Maria Koehler, Mitch Dowsett, Judith Bliss, Stephen Johnston, Nicholas Turner. ESR1 mutations in circulating tumour DNA predict outcome to endocrine treatment in patients with estrogen receptor positive advanced breast cancer; analysis of 521 patients in the SoFEA and PALOMA3 trials. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-069.