Genomic Landscape of Advanced Solid Tumors in Circulating Tumor DNA and Correlation With Tissue Sequencing: A Single Institution's Experience

Author:

Gerratana Lorenzo1234ORCID,Movarek Michael5,Wehbe Firas2ORCID,Katam Neelima2,Mahalingam Devalingam12ORCID,Donahue Jeannine2ORCID,Shah Ami12,Chae Young K.12ORCID,Mulcahy Mary12ORCID,Tsarwhas Dean12,Villaflor Victoria12,Kalyan Aparna12,Hussein Maha12ORCID,Patel Jyoti12ORCID,Chandra Sunandana12,Platanias Leonidas C.12,Gradishar William12ORCID,Cristofanilli Massimo125ORCID,Behdad Amir126

Affiliation:

1. Division of Hematology and Oncology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL

2. Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL

3. Department of Medicine, University of Udine, Udine, Italy

4. Department of Medical Oncology, Centro di Riferimento Oncologico (CRO), IRCCS, Aviano, Italy

5. Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine/New York-Presbyterian Hospital, New York, NY

6. Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL

Abstract

PURPOSE Circulating tumor DNA (ctDNA) has emerged as a promising noninvasive biomarker for baseline characterization and longitudinal monitoring of a tumor throughout disease management. The aim of this study was to evaluate the utility of ctDNA across a wide spectrum of tumor types. METHODS We retrospectively identified 1,763 patients with advanced cancers who had next-generation sequencing of ctDNA or tumor tissue completed by a designated commercial assay at Northwestern University. RESULTS ctDNA identified at least one gene alteration in 90% of patients. The number of detected alterations (NDA) and mutant allele frequency (MAF) of the most frequently mutated genes varied significantly across tumor types, with the highest MAF observed in gastric, colorectal, and breast cancers and the highest NDA observed in colorectal, lung squamous, and ovarian/endometrial cancers. TP53 was the most mutated gene in all tumor types. PIK3CA, ERBB2, BRCA1, and FGFR1 alterations were associated with breast cancer, and ESR1 mutations were exclusively detected in this tumor type. Colorectal cancer was characterized by alterations in KRAS and APC mutations, whereas KRAS, EGFR, PIK3CA, and BRAF mutations were common in lung adenocarcinoma. Concordance between blood and tissue sequencing was notably observed for truncal gene alterations (eg, APC and KRAS), whereas low concordance was often observed in genes associated with treatment resistance mechanisms (eg, RB1 and NF1). Tumor mutational burden (TMB) varied significantly across tumor types, and patients with high MAF or NDA had a significantly higher TMB score with one of the investigated platforms. CONCLUSION The study provided new insights into the ctDNA mutational landscape across solid tumors, suggesting new hypotheses-generating data and caveats for future histotype-agnostic workflows integrated with tissue-based biomarkers such as TMB.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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