Serial ctDNA Monitoring to Predict Response to Systemic Therapy in Metastatic Gastrointestinal Cancers

Aparna R Parikh, Amikasra Mojtahed, Jaime L Schneider, Katie Kanter, Emily E Van Seventer, Isobel J Fetter, Ashraf Thabet, Madeleine G Fish, Bezaye Teshome, Kathryn Fosbenner, Brandon Nadres, Heather A Shahzade, Jill N Allen, Lawrence S Blaszkowsky, David P Ryan, Bruce Giantonio, Lipika Goyal, Ryan D Nipp, Eric Roeland, Colin D Weekes, Jennifer Y Wo, Andrew X Zhu, Dora Dias-Santagata, A John Iafrate, Jochen K Lennerz, Theodore S Hong, Giulia Siravegna, Nora Horick, Jeffrey W Clark, Ryan B Corcoran, Aparna R Parikh, Amikasra Mojtahed, Jaime L Schneider, Katie Kanter, Emily E Van Seventer, Isobel J Fetter, Ashraf Thabet, Madeleine G Fish, Bezaye Teshome, Kathryn Fosbenner, Brandon Nadres, Heather A Shahzade, Jill N Allen, Lawrence S Blaszkowsky, David P Ryan, Bruce Giantonio, Lipika Goyal, Ryan D Nipp, Eric Roeland, Colin D Weekes, Jennifer Y Wo, Andrew X Zhu, Dora Dias-Santagata, A John Iafrate, Jochen K Lennerz, Theodore S Hong, Giulia Siravegna, Nora Horick, Jeffrey W Clark, Ryan B Corcoran

Abstract

Purpose: ctDNA offers a promising, noninvasive approach to monitor therapeutic efficacy in real-time. We explored whether the quantitative percent change in ctDNA early after therapy initiation can predict treatment response and progression-free survival (PFS) in patients with metastatic gastrointestinal cancer.

Experimental design: A total of 138 patients with metastatic gastrointestinal cancers and tumor profiling by next-generation sequencing had serial blood draws pretreatment and at scheduled intervals during therapy. ctDNA was assessed using individualized droplet digital PCR measuring the mutant allele fraction in plasma of mutations identified in tumor biopsies. ctDNA changes were correlated with tumor markers and radiographic response.

Results: A total of 138 patients enrolled. A total of 101 patients were evaluable for ctDNA and 68 for tumor markers at 4 weeks. Percent change of ctDNA by 4 weeks predicted partial response (PR, P < 0.0001) and clinical benefit [CB: PR and stable disease (SD), P < 0.0001]. ctDNA decreased by 98% (median) and >30% for all PR patients. ctDNA change at 8 weeks, but not 2 weeks, also predicted CB (P < 0.0001). Four-week change in tumor markers also predicted response (P = 0.0026) and CB (P = 0.022). However, at a clinically relevant specificity threshold of 90%, 4-week ctDNA change more effectively predicted CB versus tumor markers, with a sensitivity of 60% versus 24%, respectively (P = 0.0109). Patients whose 4-week ctDNA decreased beyond this threshold (≥30% decrease) had a median PFS of 175 days versus 59.5 days (HR, 3.29; 95% CI, 1.55-7.00; P < 0.0001).

Conclusions: Serial ctDNA monitoring may provide early indication of response to systemic therapy in patients with metastatic gastrointestinal cancer prior to radiographic assessments and may outperform standard tumor markers, warranting further evaluation.

©2020 American Association for Cancer Research.

Figures

Figure 1.
Figure 1.
Draw Schedule (a) and Consort Diagram (b)
Figure 2.
Figure 2.
Change in ctDNA (panels a, b) and tumor markers (panels c, d) at 4 weeks are shown for patients grouped by radiographic response by RECIST1.1 criteria. Each data point represents the percent change in ctDNA or tumor markers at 4 weeks relative to baseline for a single patient. Horizontal bars represent the median and error bars indicate 95% Confidence Interval. PR: partial response; SD: stable disease; PD: progressive disease; CB: clinical benefit.
Figure 3.
Figure 3.
Kaplan Meier curves showing progression-free survival by percent change in ctDNA for all patients at 4 weeks (panel a), 8 weeks (panel b) from treatment initiation, or for patients with CRC only (panel c) or non-CRC at 4 weeks (panel d). mPFS: median progression free survival.
Figure 4.
Figure 4.
Panels a-d: Changes in ctDNA at 2 weeks (panels a, b) or 8 weeks (panels c, d) of treatment by RECIST1.1 criteria in patients achieving partial response (PR), stable disease (SD) and progressive disease (PD) (panels a, c) or clinical benefit (CB) and PD (panels b, d). Panel e: Longitudinal ctDNA changes during the first 100 days of therapy in patients with PR (upper panel, purple lines), SD (middle panel, blue and orange lines) and PD cases (lower panel, red lines). For SD patients, blue lines represent patients with PFS 6 months. Horizontal bars represent the median and error bars indicate 95% Confidence Interval.

References

    1. Fujii T, Barzi A, Sartore-Bianchi A, et al. Mutation-Enrichment Next-Generation Sequencing for Quantitative Detection of KRAS Mutations in Urine Cell-Free DNA from Patients with Advanced Cancers. Clinical cancer research : an official journal of the American Association for Cancer Research. 2017;23(14):3657–3666.
    1. De Mattos-Arruda L, Mayor R, Ng CKY, et al. Cerebrospinal fluid-derived circulating tumour DNA better represents the genomic alterations of brain tumours than plasma. Nature communications. 2015;6:8839.
    1. Miller AM, Shah RH, Pentsova EI, et al. Tracking tumour evolution in glioma through liquid biopsies of cerebrospinal fluid. Nature. 2019;565(7741):654–658.
    1. Siravegna G, Geuna E, Mussolin B, et al. Genotyping tumour DNA in cerebrospinal fluid and plasma of a HER2-positive breast cancer patient with brain metastases. ESMO Open. 2017;2(4):e000253.
    1. Vidal J, Muinelo L, Dalmases A, et al. Plasma ctDNA RAS mutation analysis for the diagnosis and treatment monitoring of metastatic colorectal cancer patients. Annals of oncology : official journal of the European Society for Medical Oncology. 2017;28(6):1325–1332.
    1. Tie J, Wang Y, Tomasetti C, et al. Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer. Science translational medicine. 2016;8(346):346ra392.
    1. Corcoran RB, Chabner BA. Cell-free DNA Analysis in Cancer. The New England journal of medicine. 2019;380(5):501–502.
    1. Parikh AR, Leshchiner I, Elagina L, et al. Liquid versus tissue biopsy for detecting acquired resistance and tumor heterogeneity in gastrointestinal cancers. Nature medicine. 2019;25(9):1415–1421.
    1. Strickler JH, Loree JM, Ahronian LG, et al. Genomic Landscape of Cell-Free DNA in Patients with Colorectal Cancer. Cancer Discov. 2018;8(2):164–173.
    1. Abbosh C, Swanton C, Birkbak NJ. Circulating tumour DNA analyses reveal novel resistance mechanisms to CDK inhibition in metastatic breast cancer. Annals of oncology : official journal of the European Society for Medical Oncology. 2018;29(3):535–537.
    1. Fribbens C, Garcia Murillas I, Beaney M, et al. Tracking evolution of aromatase inhibitor resistance with circulating tumour DNA analysis in metastatic breast cancer. Annals of oncology : official journal of the European Society for Medical Oncology. 2018;29(1):145–153.
    1. Tsui DWY, Murtaza M, Wong ASC, et al. Dynamics of multiple resistance mechanisms in plasma DNA during EGFR-targeted therapies in non-small cell lung cancer. EMBO Mol Med. 2018;10(6).
    1. Tarazona N, Gimeno-Valiente F, Gambardella V, et al. Targeted next-generation sequencing of circulating-tumor DNA for tracking minimal residual disease in localized colon cancer. Annals of oncology : official journal of the European Society for Medical Oncology. 2019.
    1. De Mattos-Arruda L, Weigelt B, Cortes J, et al. Capturing intra-tumor genetic heterogeneity by de novo mutation profiling of circulating cell-free tumor DNA: a proof-of-principle. Annals of oncology : official journal of the European Society for Medical Oncology. 2014;25(9):1729–1735.
    1. Abbosh C, Birkbak NJ, Wilson GA, et al. Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution. Nature. 2017;545(7655):446–451.
    1. Gale D, Lawson ARJ, Howarth K, et al. Development of a highly sensitive liquid biopsy platform to detect clinically-relevant cancer mutations at low allele fractions in cell-free DNA. PloS one. 2018;13(3):e0194630.
    1. Corcoran R, André T, Yoshino T, Bendell J, Atreya C, Schellens J, Ducreux M, McRee A, Siena S, Middleton G, et al. Efficacy and circulating tumor DNA (ctDNA) analysis of the BRAF inhibitor dabrafenib (D), MEK inhibitor trametinib (T), and anti-EGFR antibody panitumumab (P) in patients (pts) with BRAF V600E–mutated (BRAFm) metastatic colorectal cancer (mCRC) Ann Oncol. 2016;27:4550.
    1. Siravegna G, Sartore-Bianchi A, Mussolin B, et al. Tracking a CAD-ALK gene rearrangement in urine and blood of a colorectal cancer patient treated with an ALK inhibitor. Annals of oncology : official journal of the European Society for Medical Oncology. 2017;28(6):1302–1308.
    1. Siravegna G, Marsoni S, Siena S, Bardelli A. Integrating liquid biopsies into the management of cancer. Nature reviews Clinical oncology. 2017;14(9):531–548.
    1. Kurtz DM, Scherer F, Jin MC, et al. Circulating Tumor DNA Measurements As Early Outcome Predictors in Diffuse Large B-Cell Lymphoma. Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 2018:Jco2018785246.
    1. Mouliere F, Chandrananda D, Piskorz AM, et al. Enhanced detection of circulating tumor DNA by fragment size analysis. Science translational medicine. 2018;10(466).
    1. Tie J, Kinde I, Wang Y, et al. Circulating tumor DNA as an early marker of therapeutic response in patients with metastatic colorectal cancer. Annals of oncology : official journal of the European Society for Medical Oncology. 2015;26(8):1715–1722.
    1. Garlan F, Laurent-Puig P, Sefrioui D, et al. Early Evaluation of Circulating Tumor DNA as Marker of Therapeutic Efficacy in Metastatic Colorectal Cancer Patients (PLACOL Study). Clinical cancer research : an official journal of the American Association for Cancer Research. 2017;23(18):5416–5425.
    1. Frenel JS, Carreira S, Goodall J, et al. Serial Next-Generation Sequencing of Circulating Cell-Free DNA Evaluating Tumor Clone Response To Molecularly Targeted Drug Administration. Clinical cancer research : an official journal of the American Association for Cancer Research. 2015;21(20):4586–4596.
    1. Hsu HC, Lapke N, Wang CW, et al. Targeted Sequencing of Circulating Tumor DNA to Monitor Genetic Variants and Therapeutic Response in Metastatic Colorectal Cancer. Mol Cancer Ther. 2018;17(10):2238–2247.
    1. Shinkins B, Nicholson BD, Primrose J, et al. The diagnostic accuracy of a single CEA blood test in detecting colorectal cancer recurrence: Results from the FACS trial. PloS one. 2017;12(3):e0171810.
    1. Nicholson BD, Shinkins B, Pathiraja I, et al. Blood CEA levels for detecting recurrent colorectal cancer. The Cochrane database of systematic reviews. 2015(12):Cd011134.
    1. Thierry AR, Mouliere F, Gongora C, et al. Origin and quantification of circulating DNA in mice with human colorectal cancer xenografts. Nucleic acids research. 2010;38(18):6159–6175.
    1. Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). European journal of cancer (Oxford, England : 1990). 2009;45(2):228–247.
    1. Bidart J- M, Thuillier F, Augereau C, et al. Kinetics of Serum Tumor Marker Concentrations and Usefulness in Clinical Monitoring. Clinical Chemistry. 1999;45(10):1695–1707.
    1. Ballehaninna UK, Chamberlain RS. The clinical utility of serum CA 19–9 in the diagnosis, prognosis and management of pancreatic adenocarcinoma: An evidence based appraisal. J Gastrointest Oncol. 2012;3(2):105–119.
    1. Husain H, Melnikova VO, Kosco K, et al. Monitoring Daily Dynamics of Early Tumor Response to Targeted Therapy by Detecting Circulating Tumor DNA in Urine. Clinical cancer research : an official journal of the American Association for Cancer Research. 2017;23(16):4716–4723.
    1. Reinert T, Henriksen TV, Christensen E, et al. Analysis of Plasma Cell-Free DNA by Ultradeep Sequencing in Patients With Stages I to III Colorectal Cancer. JAMA oncology. 2019.
    1. CAPP-Seq: an ultrasensitive quantitative assay of ctDNA. Nature Reviews Clinical Oncology. 2014;11(6):301–301.
    1. Newman AM, Bratman SV, To J, et al. An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage. Nature medicine. 2014;20(5):548–554.
    1. Ooki A, Maleki Z, Tsay JJ, et al. A Panel of Novel Detection and Prognostic Methylated DNA Markers in Primary Non-Small Cell Lung Cancer and Serum DNA. Clinical cancer research : an official journal of the American Association for Cancer Research. 2017;23(22):7141–7152.

Source: PubMed

3
Sottoscrivi