Shedding of ctDNA, radiomics assessment of tumor disease volume (TDV), and concordance of mutations (mut) in synchronous liquid and tumor biopsies in metastatic breast cancer (MBC).

Authors

null

Andri Papakonstantinou

Department of Oncology-Pathology, Karolinska Institutet and Breast Cancer Group, Vall D´Hebron Institute of Oncology (VHIO), Barcelona, Spain

Andri Papakonstantinou , Alberto Gonzalez-Medina , Judit Matito , Marta Ligero , Fiorella Ruiz-Pace , Anna Suñol , Joaquin Rivero , Roberta Fasani , Mara Cruellas , Vicente Peg , Maria Borrell , Isabel Pimentel , Santiago Escriva De Romani Munoz , Judith Balmana Gelpi , Paolo Nuciforo , Rodrigo Dienstmann , Cristina Saura , Raquel Perez-Lopez , Mafalda Oliveira , Ana Vivancos

Organizations

Department of Oncology-Pathology, Karolinska Institutet and Breast Cancer Group, Vall D´Hebron Institute of Oncology (VHIO), Barcelona, Spain, Cancer Genomics Group, Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain, Radiomics Group, Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain, Oncology Data Science (ODysSey) Group, Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain, Breast Cancer Group, Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain, Breast Surgical Unit, Breast Cancer Center Vall d’Hebron University Hospital, Barcelona, Spain, Molecular Oncology Group, Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain, Medical Oncology Department and Breast Cancer Group, Vall d´Hebron University Hospital and Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain, Department of Pathology, Vall d'Hebron University Hospital, Barcelona, Spain, Clinical Cancer Genetics and Breast Cancer Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain, Vall d´Hebron Institute of Oncology, Barcelona, Spain, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain

Research Funding

Other

Background: Genomic alterations driving MBC progression may be better captured by ctDNA reflecting clonal evolution, but it is currently unknow whether ctDNA analysis can replace tumor sequencing for clinical decision purposes. Aim: to study the concordance between mut in synchronous plasma and tumor samples prospectively collected from patients (pts) with MBC progressing on their last systemic therapy. Methods: MiSeq Amplicon-based NGS (custom panel of 60 cancer-related genes; BRCA1/2 and PALB2 not included) was performed in both tumor biopsy and plasma. The concordance of ESCAT Tier I and II mut (PIK3CA, AKT1, ERBB2, ESR1, PTEN) was determined and correlated with mutant allele fraction (MAF), TDV, and clinical features. Findings from liquid biopsies were classified as true positive (TP-ctDNA) if a given mut was detected in both tumor and plasma and false negative (FN-ctDNA) if only in the tumor. TDV: all metastasis volume assessed by CT scan (excluding sclerotic bone metastasis), and analyzed by an experienced radiologist using the 3DSlicer semiautomatic segmentation tool (TDV = pixel size x number of pixels). Non-shedding cases were those where any mut was detected in tumor but none in plasma. Results: 88 cases were collected (luminal 64, HER2+ 17, triple negative 7). Median age at diagnosis 49 years (range 28-80). Radiomics assessment could be performed in 78/88 cases. The plasma/tissue concordance at case level was 74%. Discordance came from 23 cases; in 15 cases mut was only found in tissue and in 8 cases it was only detected in plasma. At gene level, PIK3CA had the highest concordance (79%); in ESR1 it was 52%. Higher concordance associated with non-luminal subtype (OR 0.08, 95%CI 0.002 – 0.59) and shorter interval between primary diagnosis and metastatic relapse (20.3 vs 51 months; p =.02), but not with MAF. FN-ctDNA occurred in 15/49 cases (31%) and associated with luminal subtype (p =.02), but not with other clinical variables. Non-shedding cases associated with older age (p =.03), luminal subtype (p =.007), low TDV (p =.0006) and < 3 metastatic sites (p =.05). In patients with visceral metastasis (n = 45), higher TDV associated with lower probability of FN-ctDNA (p =.03). All non-luminal subtypes were shedders and all but one were TP-ctDNA. In multivariate analysis, higher probability of TP-ctDNA in luminal tumors associated with tumor sampling from a progressing lesion (OR 10.8; 95% 1.5 – 122; p =.03) and shorter interval between diagnosis of metastatic disease and biopsy (OR 0.96, 95% CI 0.92 – 0.99; p =.03). Conclusions: Our results suggest that ctDNA can detect a significant proportion of clinically relevant mut in MBC. Patients’ characteristics, tumor subtype, type of gene, and tumor volume should be integrated with ctDNA results to better inform clinical decisions.

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Abstract Details

Meeting

2022 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Breast Cancer—Metastatic

Track

Breast Cancer

Sub Track

Other Breast Cancer Subtypes

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr 1086)

DOI

10.1200/JCO.2022.40.16_suppl.1086

Abstract #

1086

Poster Bd #

464

Abstract Disclosures

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