Exploring the spatiotemporal genetic heterogeneity in metastatic lung adenocarcinoma using a nuclei flow‐sorting approach. Issue 2 (28th December 2018)

• Record Type: Journal Article
• Authors: Lorber, Thomas; Andor, Noemi; Dietsche, Tanja; Perrina, Valeria; Juskevicius, Darius; Pereira, Karen; Greer, Stephanie U; Krause, Arthur; Müller, David C; Savic Prince, Spasenija; Lardinois, Didier; Barrett, Michael T; Ruiz, Christian; Bubendorf, Lukas
• Is Part Of: Journal of pathology. Volume 247:Issue 2(2019)
• Page Start: 199
• Page End: 213
• Publication Date: 2018-12-28
• Subjects: lung cancer -- flow sorting -- intratumoral heterogeneity -- comparative genomics -- metastatic tumor evolution; Pathology -- Periodicals; 616.07
• DOI: 10.1002/path.5183
• Languages: English
• ISSNs: 0022-3417

Abstract

Abstract: Variable tumor cellularity can limit sensitivity and precision in comparative genomics because differences in tumor content can result in misclassifying truncal mutations as region‐specific private mutations in stroma‐rich regions, especially when studying tissue specimens of mediocre tumor cellularity such as lung adenocarcinomas (LUADs). To address this issue, we refined a nuclei flow‐sorting approach by sorting nuclei based on ploidy and the LUAD lineage marker thyroid transcription factor 1 and applied this method to investigate genome‐wide somatic copy number aberrations (SCNAs) and mutations of 409 cancer genes in 39 tumor populations obtained from 16 primary tumors and 21 matched metastases. This approach increased the mean tumor purity from 54% (range 7–89%) of unsorted material to 92% (range 79–99%) after sorting. Despite this rise in tumor purity, we detected limited genetic heterogeneity between primary tumors and their metastases. In fact, 88% of SCNAs and 80% of mutations were propagated from primary tumors to metastases and low allele frequency mutations accounted for much of the mutational heterogeneity. Even though the presence of SCNAs indicated a history of chromosomal instability (CIN) in all tumors, metastases did not have more SCNAs than primary tumors. Moreover, tumors with biallelic TP53 or ATM mutations had high numbers of SCNAs, yet they were associated with a low interlesional genetic heterogeneity. The results of our study thus provide evidence that most macroevolutionary events occur in primary tumors before metastatic dissemination and advocate for a limited degree of CIN over time and space in this cohort of LUADs. Sampling of primary tumors thus may suffice to detect most mutations and SCNAs. In addition, metastases but not primary tumors had seeded additional metastases in three of four patients; this provides a genomic rational for surgical treatment of such oligometastatic LUADs. Copyright © 2018 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.