Validation of recurrence prediction using circulating tumor DNA in patients with curatively treated early stage non-small cell lung cancer.

Authors

null

Milou Schuurbiers

Department of pulmonary diseases, Radboud university medical center, Nijmegen, Netherlands

Milou Schuurbiers , Christopher Gareth Smith , Koen Hartemink , Robert Rintoul , Kim Monkhorst , Daan van den Broek , Nitzan Rosenfeld , Michel van den Heuvel

Organizations

Department of pulmonary diseases, Radboud university medical center, Nijmegen, Netherlands, Neogenomics Ltd, Babraham Research Park, Cambridge, United Kingdom, Department of Surgery, The Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands, Department of Oncology, University of Cambridge, Cambridge, United Kingdom, Department of Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands, Department of Laboratory Medicine, The Netherlands Cancer Institute, Amsterdam, Netherlands, Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom

Research Funding

No funding received
None.

Background: Stage II-III non-small cell lung cancer (NSCLC) patients receive adjuvant chemotherapy after surgery as standard-of-care treatment, despite an absolute 5-year disease free survival benefit of only 5.8%. Stage I patients do not receive adjuvant treatment but may benefit. Identification of residual disease by circulating tumor DNA (ctDNA) after curative intent therapy may allow more accurate decisions. Methods: Tumor tissue and serial plasma samples were collected from stage I-III NSCLC patients enrolled in the LEMA trial (NCT02894853). Somatic mutations identified by tumor exome sequencing were used to design patient-specific RaDaR assays, targeting up to 48 variants per patient, to analyze ctDNA in serial plasma samples. Results were compared and combined with an independent dataset (LUCID; Gale et al, Annals Oncol 2022). Results: In LEMA, 129 patients (53% stage I, 18% stage II and 29% stage III) were treated with curative intent by surgery (n=117), chemoradiation (n=8) or stereotactic radiotherapy (n=4) and followed for a median of 3.4 years. The LUCID dataset included 88 patients (49%/28%/23% in stage I/II/III). Results in the two cohorts were highly concordant (Table) and were assessed in the combined dataset of 808 serial plasma samples. Before treatment, ctDNA was detected in 22%, 72% and 90% of patients with stage I, II and III disease. ctDNA was detected post-treatment (at least one positive samples ≥14 days after the end of therapy) in 41/65 (63%) of patients who developed radiographic recurrence of their primary cancer, and preceded recurrence by a median of 204 days. For recurrence prediction by ctDNA detection post-treatment, the sensitivity, specificity, positive and negative predictive value (PPV and NPV) in stage I patients were 53%, 99%, 91% and 90%. In stage II-III patients, sensitivity was higher but specificity and NPV were lower (67%, 93%, 91% and 74%, respectively). ctDNA detection after treatment was associated with shorter recurrence-free survival (hazard ratio (HR) 11.5, P=1.8x10-32) and overall survival (HR 8.1, P=1.2x10-17). Conclusions: ctDNA detection by RaDaR assays predicted recurrence in two independent cohorts, confirming the potential to identify patients for adjuvant treatment. In stage I patients with positive ctDNA, adjuvant treatment could be offered with confidence due to high specificity of 99% and PPV of 91%. In stage II-III patients, the primary cancer recurred in a quarter of patients with no ctDNA detected post-treatment (NPV 74%). Our results help identify the potential role for ctDNA analysis as a decision support tool for adjuvant therapy in NSCLC.

Recurrence prediction by ctDNA detection post-treatment.

Sensitivity %Specificity %PPV %NPV %
Combined (n=193)63979184
 Stage I53999190
 II-III67939174
- LEMA62979285
 Stage I5010010089
 II-III68938977
- LUCID64969082
 Stage I57978091
 II-III65949368

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Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Lung Cancer—Non-Small Cell Local-Regional/Small Cell/Other Thoracic Cancers

Track

Lung Cancer

Sub Track

Biologic Correlates

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr 8535)

DOI

10.1200/JCO.2023.41.16_suppl.8535

Abstract #

8535

Poster Bd #

162

Abstract Disclosures

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