Prospective validation of ORACLE, a clonal expression biomarker associated with survival of patients with lung adenocarcinoma

Dhruva Biswas*, Yun Hsin Liu, Javier Herrero, Yin Wu, David A. Moore, Takahiro Karasaki, Kristiana Grigoriadis, Wei Ting Lu, Selvaraju Veeriah, Cristina Naceur-Lombardelli, Neil Magno, Sophia Ward, Alexander M. Frankell, Mark S. Hill, Emma Colliver, Sophie de Carné Trécesson, Philip East, Aman Malhi, Daniel M. Snell, Olga O’NeillDaniel Leonce, Johanna Mattsson, Amanda Lindberg, Patrick Micke, Judit Moldvay, Zsolt Megyesfalvi, Balazs Dome, János Fillinger, Jerome Nicod, Julian Downward, Zoltan Szallasi, Mathew Thomas, Jennifer Whiteley, Nikos Kostoulas, Rocco Bilancia, Mo Asif, Alan Kirk, John Le Quesne, Craig Dick, Andrew Kidd, Kevin G. Blyth, Peter Russell, Lily Robinson, Michael J. Shackcloth, Sarah Danson, Madeleine Hewish, Chiara Proli, Pratibha Shah, Nadia Fernandes, Andrew G. Nicholson, TRACERx Consortium, Nicolai Birkbak*, Charles Swanton*, Hugo J.W.L. Aerts

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Human tumors are diverse in their natural history and response to treatment, which in part results from genetic and transcriptomic heterogeneity. In clinical practice, single-site needle biopsies are used to sample this diversity, but cancer biomarkers may be confounded by spatiogenomic heterogeneity within individual tumors. Here we investigate clonally expressed genes as a solution to the sampling bias problem by analyzing multiregion whole-exome and RNA sequencing data for 450 tumor regions from 184 patients with lung adenocarcinoma in the TRACERx study. We prospectively validate the survival association of a clonal expression biomarker, Outcome Risk Associated Clonal Lung Expression (ORACLE), in combination with clinicopathological risk factors, and in stage I disease. We expand our mechanistic understanding, discovering that clonal transcriptional signals are detectable before tissue invasion, act as a molecular fingerprint for lethal metastatic clones and predict chemotherapy sensitivity. Lastly, we find that ORACLE summarizes the prognostic information encoded by genetic evolutionary measures, including chromosomal instability, as a concise 23-transcript assay.
Original languageEnglish
Article number10110
Pages (from-to)86-101
JournalNature Cancer
Volume6
Issue number1
DOIs
Publication statusPublished - 1 Jan 2025

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