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Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer.

ABSTRACT: In patients with metastatic cancer, spatial heterogeneity of somatic alterations may lead to incomplete assessment of a cancer's mutational profile when analyzing a single tumor biopsy. In this study, we perform sequencing of cell-free DNA (cfDNA) and distinct metastatic tissue samples from ten rapid autopsy cases with pre-treated metastatic cancer. We show that levels of heterogeneity in genetic biomarkers vary between patients but that gene expression signatures representative of the tumor microenvironment are more consistent. Across nine patients with plasma samples available, we are able to detect 62/62 truncal and 47/121 non-truncal point mutations in cfDNA. We observe that mutation clonality in cfDNA is correlated with the number of metastatic lesions in which the mutation is detected and use this result to derive a clonality threshold to classify truncal and non-truncal driver alterations with reasonable specificity. In contrast, mutation truncality is more often incorrectly assigned when studying single tissue samples. Our results demonstrate the utility of a single cfDNA sample relative to that of single tissue samples when treating patients with metastatic cancer.

SUBMITTER: Pereira B

PROVIDER: S-EPMC8160338 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer.

Pereira Bernard B Chen Christopher T CT Goyal Lipika L Walmsley Charlotte C Pinto Christopher J CJ Baiev Islam I Allen Read R Henderson Laura L Saha Supriya S Reyes Stephanie S Taylor Martin S MS Fitzgerald Donna M DM Broudo Maida Williams MW Sahu Avinash A Gao Xin X Winckler Wendy W Brannon A Rose AR Engelman Jeffrey A JA Leary Rebecca R Stone James R JR Campbell Catarina D CD Juric Dejan D

Nature communications 20210527 1

In patients with metastatic cancer, spatial heterogeneity of somatic alterations may lead to incomplete assessment of a cancer's mutational profile when analyzing a single tumor biopsy. In this study, we perform sequencing of cell-free DNA (cfDNA) and distinct metastatic tissue samples from ten rapid autopsy cases with pre-treated metastatic cancer. We show that levels of heterogeneity in genetic biomarkers vary between patients but that gene expression signatures representative of the tumor mic ...[more]

PMID: 34045463

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Project description:There remain no clear guidelines for the optimal management of patients with metastatic breast cancer. To better understand its natural history, we undertook a detailed examination of 197 autopsies performed on women who died of breast cancer. We reviewed clinical, treatment and pathological aspects of all cases and, additionally, pathological features and biomarker expression (ER, PgR, HER2, EGFR, p53, Ki67, c-Kit, CK AE1/AE3) were assessed in detail for the primary tumour and matched metastases for 55 of the cases. Genomes of the primary tumour and multiple metastases were analysed by array-based comparative genomic hybridization for six cases(##) . 945 metastatic deposits were identified, with a median of four/patient. The most common organs involved were lung/pleura (80%), bone (74%), liver (71%) and non-axillary lymph nodes (55%). Major findings included: (a) patients with CNS metastases were more likely to have bone metastases (p < 0.013); (b) younger age was associated with metastasis to the liver (≤ 49 years; p < 0.001) and to gynaecological organs (≤ 49 years; p = 0.001); (c) surgical excision of the primary tumour was associated with metastasis to the liver (p = 0.002); and (d) ER and PgR showed down-regulation during progression in a non-random manner, particularly in lung/pleura (ER; p < 0.001), liver and bone metastases. Genomic analysis revealed DNA copy number variation between the primary tumour and metastases (e.g. amplification of 2q11.2-q12.1 and 10q22.2-q22.3) but little variation between metastases from the same patient. In summary, the association of CNS and bone metastases, liver and gynaecological metastases in young women and the risk of liver metastases following surgery have important implications for the management of patients with breast cancer. Clonal heterogeneity of the primary tumour is important in developing metastatic propensity and the change in tumour phenotype during progression/colonization highlights the importance of sampling metastatic disease for optimal treatment strategies.

Dataset Information

Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer.

Publications

Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer.

Similar Datasets

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