Abstract
Original language | English |
---|---|
Article number | 10110 |
Pages (from-to) | 86-101 |
Journal | Nature Cancer |
Volume | 6 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2025 |
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- 10.1038/s43018-024-00883-1Licence: CC BY
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In: Nature Cancer, Vol. 6, No. 1, 10110, 01.01.2025, p. 86-101.
Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Prospective validation of ORACLE, a clonal expression biomarker associated with survival of patients with lung adenocarcinoma
AU - Biswas, Dhruva
AU - Liu, Yun Hsin
AU - Herrero, Javier
AU - Wu, Yin
AU - Moore, David A.
AU - Karasaki, Takahiro
AU - Grigoriadis, Kristiana
AU - Lu, Wei Ting
AU - Veeriah, Selvaraju
AU - Naceur-Lombardelli, Cristina
AU - Magno, Neil
AU - Ward, Sophia
AU - Frankell, Alexander M.
AU - Hill, Mark S.
AU - Colliver, Emma
AU - de Carné Trécesson, Sophie
AU - East, Philip
AU - Malhi, Aman
AU - Snell, Daniel M.
AU - O’Neill, Olga
AU - Leonce, Daniel
AU - Mattsson, Johanna
AU - Lindberg, Amanda
AU - Micke, Patrick
AU - Moldvay, Judit
AU - Megyesfalvi, Zsolt
AU - Dome, Balazs
AU - Fillinger, János
AU - Nicod, Jerome
AU - Downward, Julian
AU - Szallasi, Zoltan
AU - Thomas, Mathew
AU - Whiteley, Jennifer
AU - Kostoulas, Nikos
AU - Bilancia, Rocco
AU - Asif, Mo
AU - Kirk, Alan
AU - Le Quesne, John
AU - Dick, Craig
AU - Kidd, Andrew
AU - Blyth, Kevin G.
AU - Russell, Peter
AU - Robinson, Lily
AU - Shackcloth, Michael J.
AU - Danson, Sarah
AU - Hewish, Madeleine
AU - Proli, Chiara
AU - Shah, Pratibha
AU - Fernandes, Nadia
AU - Nicholson, Andrew G.
AU - TRACERx Consortium
AU - Birkbak, Nicolai
AU - Swanton, Charles
AU - Aerts, Hugo J.W.L.
N1 - Funding Information: The TRACERx study (ClinicalTrials.gov identifier NCT01888601) is sponsored by University College London (UCL/12/0279) and has been approved by an independent Research Ethics Committee (13/LO/1546). TRACERx is funded by Cancer Research UK (CRUK) (C11496/A17786) and coordinated through the CRUK and UCL Cancer Trials Centre, which has a core grant from CRUK (C444/A15953). We acknowledge the patients and relatives who participated in the TRACERx study; all site personnel, investigators, funders and industry partners who supported the generation of the data within this study; and the support of Scientific Computing, the Advanced Sequencing Facility and Experimental Histopathology Science Technology Platforms at the Francis Crick Institute. This work is also supported by the CRUK Lung Cancer Centre of Excellence and the CRUK City of London Centre Award (C7893/A26233) as well as the UCL Experimental Cancer Medicine Centre. D.B. is supported by funding from a Cancer Research UK (CRUK) Early Detection and Diagnosis Project award (EDDCPJT\\100008), the Idea to Innovation (i2i) Crick translation scheme supported by the Medical Research Council, the National Institute for Health Research (NIHR) Biomedical Research Centre and the Breast Cancer Research Foundation (BCRF). Fig. 1a is created in BioRender.com (Biswas, D. (2024) BioRender.com/t56b560). Y.-H.L. is supported by funding from a Cancer Research UK (CRUK) Early Detection and Diagnosis Project award (EDDCPJT\\100008). Y.W. is supported by funding from the Wellcome Trust (220589/Z/20/Z). T.K. is supported by the JSPS Overseas Research Fellowships Program (202060447). J.M. is supported by the Hungarian National Research, Development and Innovation Office (K129065). B.D. is supported by the Austrian Science Fund (FWF I3522, FWF I3977, and I4677) and the \u2018BIOSMALL\u2019 EU HORIZON-MSCA-2022-SE-01 project. Z.M. is supported by the New National Excellence Program of the Ministry for Innovation and Technology of Hungary (UNKP\u201020\u20103, UNKP\u201021\u20103 and UNKP-23-5), and by the Bolyai Research Scholarship of the Hungarian Academy of Sciences. Z.M. is also the recipient of an International Association for the Study of Lung Cancer/International Lung Cancer Foundation Young Investigator Grant (2022). B.D. and Z.M. are supported by funding from the Hungarian National Research, Development, and Innovation Office (2020\u20101.1.6\u2010J\u00D6V\u0150, TKP2021\u2010EGA\u201033, FK\u2010143751 and FK-147045). M.J.-H. has received funding from CRUK, NIH National Cancer Institute, IASLC International Lung Cancer Foundation, Lung Cancer Research Foundation, Rosetrees Trust, UKI NETs and NIHR. C.S. is a Royal Society Napier Research Professor (RSRP\\R\\210001). C.S. is supported by the Francis Crick Institute, which receives its core funding from CRUK (CC2041), the UK Medical Research Council (CC2041) and the Wellcome Trust (CC2041). C.S. is funded by CRUK (TRACERx (C11496/A17786)), PEACE (C416/A21999) and CRUK Cancer Immunotherapy Catalyst Network), CRUK Lung Cancer Centre of Excellence (C11496/A30025), the Rosetrees Trust, Butterfield and Stoneygate Trusts, the NovoNordisk Foundation (ID16584), a Royal Society Professorship Enhancement Award (RP/EA/180007), the National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre, the CRUK\u2013University College London Centre, the Experimental Cancer Medicine Centre, the Breast Cancer Research Foundation (US) and The Mark Foundation for Cancer Research Aspire Award (grant 21-029-ASP). Funding Information: The TRACERx study (ClinicalTrials.gov identifier NCT01888601) is sponsored by University College London (UCL/12/0279) and has been approved by an independent Research Ethics Committee (13/LO/1546). TRACERx is funded by Cancer Research UK (CRUK) (C11496/A17786) and coordinated through the CRUK and UCL Cancer Trials Centre, which has a core grant from CRUK (C444/A15953). We acknowledge the patients and relatives who participated in the TRACERx study; all site personnel, investigators, funders and industry partners who supported the generation of the data within this study; and the support of Scientific Computing, the Advanced Sequencing Facility and Experimental Histopathology Science Technology Platforms at the Francis Crick Institute. This work is also supported by the CRUK Lung Cancer Centre of Excellence and the CRUK City of London Centre Award (C7893/A26233) as well as the UCL Experimental Cancer Medicine Centre. D.B. is supported by funding from a Cancer Research UK (CRUK) Early Detection and Diagnosis Project award (EDDCPJT\\100008), the Idea to Innovation (i2i) Crick translation scheme supported by the Medical Research Council, the National Institute for Health Research (NIHR) Biomedical Research Centre and the Breast Cancer Research Foundation (BCRF). Fig. is created in BioRender.com (Biswas, D. (2024) BioRender.com/t56b560). Y.-H.L. is supported by funding from a Cancer Research UK (CRUK) Early Detection and Diagnosis Project award (EDDCPJT\\100008). Y.W. is supported by funding from the Wellcome Trust (220589/Z/20/Z). T.K. is supported by the JSPS Overseas Research Fellowships Program (202060447). J.M. is supported by the Hungarian National Research, Development and Innovation Office (K129065). B.D. is supported by the Austrian Science Fund (FWF I3522, FWF I3977, and I4677) and the \u2018BIOSMALL\u2019 EU HORIZON-MSCA-2022-SE-01 project. Z.M. is supported by the New National Excellence Program of the Ministry for Innovation and Technology of Hungary (UNKP\u201020\u20103, UNKP\u201021\u20103 and UNKP-23-5), and by the Bolyai Research Scholarship of the Hungarian Academy of Sciences. Z.M. is also the recipient of an International Association for the Study of Lung Cancer/International Lung Cancer Foundation Young Investigator Grant (2022). B.D. and Z.M. are supported by funding from the Hungarian National Research, Development, and Innovation Office (2020\u20101.1.6\u2010J\u00D6V\u0150, TKP2021\u2010EGA\u201033, FK\u2010143751 and FK-147045). M.J.-H. has received funding from CRUK, NIH National Cancer Institute, IASLC International Lung Cancer Foundation, Lung Cancer Research Foundation, Rosetrees Trust, UKI NETs and NIHR. C.S. is a Royal Society Napier Research Professor (RSRP\\R\\210001). C.S. is supported by the Francis Crick Institute, which receives its core funding from CRUK (CC2041), the UK Medical Research Council (CC2041) and the Wellcome Trust (CC2041). C.S. is funded by CRUK (TRACERx (C11496/A17786)), PEACE (C416/A21999) and CRUK Cancer Immunotherapy Catalyst Network), CRUK Lung Cancer Centre of Excellence (C11496/A30025), the Rosetrees Trust, Butterfield and Stoneygate Trusts, the NovoNordisk Foundation (ID16584), a Royal Society Professorship Enhancement Award (RP/EA/180007), the National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre, the CRUK\u2013University College London Centre, the Experimental Cancer Medicine Centre, the Breast Cancer Research Foundation (US) and The Mark Foundation for Cancer Research Aspire Award (grant 21-029-ASP). Publisher Copyright: © The Author(s) 2025.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - 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.
AB - 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.
U2 - 10.1038/s43018-024-00883-1
DO - 10.1038/s43018-024-00883-1
M3 - Article
SN - 2662-1347
VL - 6
SP - 86
EP - 101
JO - Nature Cancer
JF - Nature Cancer
IS - 1
M1 - 10110
ER -