Individualized tumor-informed circulating tumor DNA analysis for postoperative monitoring of non-small cell lung cancer.


Journal

Cancer cell
ISSN: 1878-3686
Titre abrégé: Cancer Cell
Pays: United States
ID NLM: 101130617

Informations de publication

Date de publication:
09 10 2023
Historique:
received: 02 02 2023
revised: 26 06 2023
accepted: 17 08 2023
medline: 12 10 2023
pubmed: 9 9 2023
entrez: 8 9 2023
Statut: ppublish

Résumé

We report a personalized tumor-informed technology, Patient-specific pROgnostic and Potential tHErapeutic marker Tracking (PROPHET) using deep sequencing of 50 patient-specific variants to detect molecular residual disease (MRD) with a limit of detection of 0.004%. PROPHET and state-of-the-art fixed-panel assays were applied to 760 plasma samples from 181 prospectively enrolled early stage non-small cell lung cancer patients. PROPHET shows higher sensitivity of 45% at baseline with circulating tumor DNA (ctDNA). It outperforms fixed-panel assays in prognostic analysis and demonstrates a median lead-time of 299 days to radiologically confirmed recurrence. Personalized non-canonical variants account for 98.2% with prognostic effects similar to canonical variants. The proposed tumor-node-metastasis-blood (TNMB) classification surpasses TNM staging for prognostic prediction at the decision point of adjuvant treatment. PROPHET shows potential to evaluate the effect of adjuvant therapy and serve as an arbiter of the equivocal radiological diagnosis. These findings highlight the potential advantages of personalized cancer techniques in MRD detection.

Identifiants

pubmed: 37683638
pii: S1535-6108(23)00286-6
doi: 10.1016/j.ccell.2023.08.010
pii:
doi:

Substances chimiques

Circulating Tumor DNA 0
Cell-Free Nucleic Acids 0
DNA, Neoplasm 0
Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1749-1762.e6

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests Z.Z., C.W., X.L., D.P., F.Q., S.W., X.Z., and S.C. are employment and stock/stock option ownership in Burning Rock Biotech. The remaining authors declare no potential conflict of interest.

Auteurs

Kezhong Chen (K)

Thoracic Oncology Institute, Peking University People's Hospital, Beijing 100044, China; Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China. Electronic address: chenkezhong@pkuph.edu.cn.

Fan Yang (F)

Thoracic Oncology Institute, Peking University People's Hospital, Beijing 100044, China; Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China.

Haifeng Shen (H)

Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China.

Chenyang Wang (C)

Burning Rock Biotech, Guangzhou 510300, China.

Xi Li (X)

Burning Rock Biotech, Guangzhou 510300, China.

Olga Chervova (O)

University College London Cancer Institute, University College London, 72 Huntley St, London WC1E 6DD, UK.

Shuailai Wu (S)

Burning Rock Biotech, Guangzhou 510300, China.

Fujun Qiu (F)

Burning Rock Biotech, Guangzhou 510300, China.

Di Peng (D)

Burning Rock Biotech, Guangzhou 510300, China.

Xin Zhu (X)

Burning Rock Biotech, Guangzhou 510300, China.

Shannon Chuai (S)

Burning Rock Biotech, Guangzhou 510300, China.

Stephan Beck (S)

University College London Cancer Institute, University College London, 72 Huntley St, London WC1E 6DD, UK.

Nnennaya Kanu (N)

University College London Cancer Institute, University College London, 72 Huntley St, London WC1E 6DD, UK.

David Carbone (D)

James Thoracic Oncology Center, Ohio State University, Columbus, OH 43026, USA.

Zhihong Zhang (Z)

Burning Rock Biotech, Guangzhou 510300, China. Electronic address: zhihong.zhang@brbiotech.com.

Jun Wang (J)

Thoracic Oncology Institute, Peking University People's Hospital, Beijing 100044, China; Department of Thoracic Surgery, Peking University People's Hospital, Beijing 100044, China. Electronic address: wangjun@pkuph.edu.cn.

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Classifications MeSH