BRAF mutations classes I, II, and III in NSCLC patients included in the SLLIP trial : The need for a new pre-clinical treatment rationale

BRAF V600 mutations have been found in 1-2% of non-small-cell lung cancer (NSCLC) patients, with Food and Drug Administration (FDA) approved treatment of dabrafenib plus trametinib and progression free survival (PFS) of 10.9 months. However, 50-80% of BRAF mutations in lung cancer are non-V600, and can be class II, with intermediate to high kinase activity and RAS independence, or class III, with impaired kinase activity, upstream signaling dependence, and consequently, sensitivity to receptor tyrosine kinase (RTK) inhibitors. Plasma cell-free DNA (cfDNA) of 185 newly diagnosed advanced lung adenocarcinoma patients (Spanish Lung Liquid versus Invasive Biopsy Program, SLLIP, NCT03248089) was examined for BRAF and other alterations with a targeted cfDNA next-generation sequencing (NGS) assay (Guardant360®, Guardant Health Inc., CA, USA), and results were correlated with patient outcome. Cell viability with single or combined RAF, MEK, and SHP2 inhibitors was assessed in cell lines with BRAF class I, II, and III mutations. Out of 185 patients, 22 had BRAF alterations (12%) of which seven patients harbored amplifications (32%) and 17 had BRAF mutations (77%). Of the BRAF mutations, four out of 22 (18%) were V600E and 18/22 (82%) were non-V600. In vitro results confirmed sensitivity of class III and resistance of class I and II BRAF mutations, and BRAF wild type cells to SHP2 inhibition. Concomitant MEK or RAF and SHP2 inhibition showed synergistic effects, especially in the class III BRAF-mutant cell line. Our study indicates that the class of the BRAF mutation may have clinical implications and therefore should be defined in the clinical practice and used to guide therapeutic decision

Genomic profile of advanced breast cancer in circulating tumour DNA.

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

Genomic profile of advanced breast cancer in circulating tumour DNA.

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

High accuracy of a blood ctDNA-based multimodal test to detect colorectal cancer

Background: Detection of circulating tumor DNA (ctDNA) is a minimally invasive and convenient blood-based screening strategy that may increase effectiveness of colorectal cancer (CRC) screening. Patients and methods: A novel multimodal ctDNA-based blood assay that integrates genomics, epigenomics and fragmentomics, as well as proteomics in a refined version, was tested in blood samples from two cohorts: (i) consecutive fecal immunochemical test (FIT)-positive individuals from the CRC Barcelona stool-based screening program; (ii) patients diagnosed with CRC. Primary endpoint was the performance of the test to detect CRC at different tumor-node-metastasis (TNM) stages. Secondary endpoint was the ability of the test to detect advanced precancerous lesions (advanced adenoma or advanced serrated lesion). Results: A total of 623 blood samples were analyzed in the primary analysis. Sensitivity and specificity of the assay to detect CRC was 93% and 90%, respectively. The sensitivity of CRC detection according to TNM stages was 84% for stage I, 94% for stage II and 96% for stage III (70/73) (P< 0.024). Sensitivity to detect advanced precancerous lesions was 23% with a refined version of the test (including protein and updating bioinformatic thresholding). Conclusion: A blood-based multimodal ctDNA assay detected CRC with high accuracy. This minimally invasive, accessible and convenient assay may help to increase the effectiveness of CRC screening

Abstract PS5-02: Assessment of early ctDNA dynamics to predict efficacy of targeted therapies in metastatic breast cancer: Results from plasmaMATCH trial

Abstract Background: Early changes in circulating tumour DNA (ctDNA) levels may identify which patients respond to therapy earlier than imaging, with ctDNA levels falling rapidly in patients who respond to therapy. The plasmaMATCH trial assessed the utility of ctDNA testing with an error-corrected 73-gene targeted panel (Guardant360, Guardant Health) to allocate patients to four mutation matched therapy cohorts. ESR1-extended fulvestrant (A), HER2-neratinib +/- fulvestrant (B), AKT1-capivasertib + fulvestrant (C), AKT basket-capivasertib (D). Here, we report paired baseline and early on treatment ctDNA analysis from plasmaMATCH, to establish the optimal criteria for predicting progression free survival (PFS). Methods: In plasmaMATCH treatment cohorts, plasma samples were collected for ctDNA analysis pre-treatment at cycle 1-day 1 (C1D1) and cycle 2-day 1 (C2D1) timepoints, and sequenced with the Guardant 360 assay. Patients were included if they had a minimum of 14 days of treatment in the first cycle. Multiple different methods were investigated to integrate variant allele fractions (VAF) of mutations identified at each timepoint to estimate the level of ctDNA, including maximum VAF, mean VAF and weighted mean VAF, and weighted mean VAF of clonal mutations at C1D1. Variants with a VAF &amp;lt;0.3%, set as the limit of detection, in C1D1 were excluded. Genes frequently mutated in CHIP were excluded (GNAS, JAK2, IDH1, IDH2 and ATM) from the weighted mean VAF of clonal mutations method. The circulating DNA ratio (CDR) was calculated as the ratio of C2D1 level relative to C1D1 level. The optimal cut-point for predicting PFS was assessed by fitting a range of cutpoints for each VAF integration method, identifying the cut-point with the highest Harrell’s C-index. Results: A total of 142 patients were enrolled into plasmaMATCH cohorts A-D, 79 patients had samples sent for paired C1D1-C2D1 plasma ctDNA sequencing, 1 failed sequencing and 1 insufficient treatment, and 77 (54%) patients had assessable C1D1-C2D1 plasma ctDNA sequencing results (45 cohort A, 12 cohort B, 12 cohort C, 8 cohort D). A weighted mean of clonal mutations in C1D1 ctDNA sequencing was the optimal method for integrating VAF, with peak C-Index 0.67. At the optimal C-index cutoff of 0.132, median PFS with high ctDNA CDR was 2.4 months (95% CI 2.0-3.7) and with suppressed ctDNA CDR was 9.9 months (95% CI 7.0-13.7) (HR 4.3, 95% CI 2.4-7.6, p&amp;lt;0.0001). Early changes in ctDNA level were also predictive in cohorts A extended dose fulvestrant alone (HR 5.8, 95% CI 2.2-16, p=0.0001) and cohorts B-D of targeted therapy (HR 3.8, 95% CI 1.7-8.6, p=0.00063). In analysis that was not pre-planned, patients with undetectable ctDNA at C2D1 had a particularly good outcome (p&amp;lt;0.0001, table 1). Conclusions: We identify an optimal methodology for assessing early dynamic changes in ctDNA that predicts treatment efficacy in patients with metastatic breast cancer. This methodology will require validation in independent data-sets, and if validated would allow trials of adapting therapy on the basis of early ctDNA dynamics. Table 1ctDNA dynamics categoryMedian PFS months (95%CI)6-month PFSORRUndetectable (N=11) CDR=018.2 (10.2-NA)91%9/11 (82%)Suppressed (N=14) CDR &amp;lt;0.132 and &amp;gt;05.4 (4.6-NA)48%6/14 (43%)High (N=52) CDR &amp;gt;=0.1322.4 (2.0-3.7)8%4/52 (8%) Citation Format: Javier Pascual, Rosalind J Cutts, Belinda Kingston, Sarah Hrebien, Lucy S Kilburn, Sarah Kernaghan, Laura Moretti, Katie Wilkinson, Andrew M Wardley, Iain R Macpherson, Richard D Baird, Rebecca Roylance, Michael Hubank, Giselle Walsh, Iris Faull, Kimberly C Banks, Richard B Lanman, Isaac Garcia-Murillas, Judith M Bliss, Alistair Ring, Nicholas C Turner. Assessment of early ctDNA dynamics to predict efficacy of targeted therapies in metastatic breast cancer: Results from plasmaMATCH trial [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS5-02.</jats:p

The Centenary Community Engagement Fund Working Paper: Partnership working, current community challenges and interdisciplinary research opportunities

The University of Leicester’s centenary celebrations provide a timely opportunity for academics, staff and students to endorse our civic mission and engage anew with partners and stakeholders in Leicester, Leicestershire and Rutland (LLR). The University owes its existence to the foresight and commitment of local people, who in the aftermath of the First World War helped to champion and establish University College Leicester in 1921, in the belief that access to higher education would enable a better future for all in the city and counties. The College was awarded university status in 1957, and its history and fortune has been inextricably linked with the city and local communities in LLR. Over the years, we have worked together passionately, to reap new opportunities, face immense challenges and help to improve lives in communities locally across the UK and internationally. Community partnership and collaboration can readily be witnessed through the hundreds of academics, students and staff who are actively involved with mission driven charities and third sector organisations many of whom participated in the Centenary Community Engagement Fund Workshop in November. Our leading researchers also have very strong links with community facing organisations and major institutions such as the University Hospitals of Leicester Trust. The same is true of multi-disciplinary academic research teams collaborating proactively with charities, businesses, social enterprises and organisations in a wide range of sectors from social care to arts and culture. This paper is concerned with the Centenary Community Engagement Fund just one of the new civic initiatives launched during our Centenary year. This Fund will provide £125,000 in philanthropic funding for novel interdisciplinary research with partners and for more sought after internships for our talented students