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Ordered and deterministic cancer genome evolution after p53 loss

Author

Listed:
  • Timour Baslan

    (Memorial Sloan Kettering Cancer Center)

  • John P. Morris

    (Memorial Sloan Kettering Cancer Center
    University of North Carolina at Chapel Hill School of Medicine
    University of North Carolina at Chapel Hill)

  • Zhen Zhao

    (Memorial Sloan Kettering Cancer Center
    Icahn School of Medicine at Mount Sinai)

  • Jose Reyes

    (Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center
    Howard Hughes Medical Institute)

  • Yu-Jui Ho

    (Memorial Sloan Kettering Cancer Center)

  • Kaloyan M. Tsanov

    (Memorial Sloan Kettering Cancer Center)

  • Jonathan Bermeo

    (Memorial Sloan Kettering Cancer Center)

  • Sha Tian

    (Memorial Sloan Kettering Cancer Center)

  • Sean Zhang

    (Memorial Sloan Kettering Cancer Center)

  • Gokce Askan

    (Memorial Sloan Kettering Cancer Center)

  • Aslihan Yavas

    (Memorial Sloan Kettering Cancer Center)

  • Nicolas Lecomte

    (Memorial Sloan Kettering Cancer Center)

  • Amanda Erakky

    (Memorial Sloan Kettering Cancer Center)

  • Anna M. Varghese

    (Memorial Sloan Kettering Cancer Center)

  • Amy Zhang

    (Ontario Institute for Cancer Research)

  • Jude Kendall

    (Cold Spring Harbor Laboratory)

  • Elena Ghiban

    (Cold Spring Harbor Laboratory)

  • Lubomir Chorbadjiev

    (Technical University of Sofia)

  • Jie Wu

    (Oncology Informatics and Genomics)

  • Nevenka Dimitrova

    (Oncology Informatics and Genomics)

  • Kalyani Chadalavada

    (Memorial Sloan Kettering Cancer Center)

  • Gouri J. Nanjangud

    (Memorial Sloan Kettering Cancer Center)

  • Chaitanya Bandlamudi

    (Memorial Sloan Kettering Cancer Center)

  • Yixiao Gong

    (Memorial Sloan Kettering Cancer Center)

  • Mark T. A. Donoghue

    (Memorial Sloan Kettering Cancer Center)

  • Nicholas D. Socci

    (Memorial Sloan Kettering Cancer Center)

  • Alex Krasnitz

    (Cold Spring Harbor Laboratory)

  • Faiyaz Notta

    (Ontario Institute for Cancer Research)

  • Steve D. Leach

    (Memorial Sloan Kettering Cancer Center
    Dartmouth Cancer Center)

  • Christine A. Iacobuzio-Donahue

    (Memorial Sloan Kettering Cancer Center)

  • Scott W. Lowe

    (Memorial Sloan Kettering Cancer Center
    Howard Hughes Medical Institute)

Abstract

Although p53 inactivation promotes genomic instability1 and presents a route to malignancy for more than half of all human cancers2,3, the patterns through which heterogenous TP53 (encoding human p53) mutant genomes emerge and influence tumorigenesis remain poorly understood. Here, in a mouse model of pancreatic ductal adenocarcinoma that reports sporadic p53 loss of heterozygosity before cancer onset, we find that malignant properties enabled by p53 inactivation are acquired through a predictable pattern of genome evolution. Single-cell sequencing and in situ genotyping of cells from the point of p53 inactivation through progression to frank cancer reveal that this deterministic behaviour involves four sequential phases—Trp53 (encoding mouse p53) loss of heterozygosity, accumulation of deletions, genome doubling, and the emergence of gains and amplifications—each associated with specific histological stages across the premalignant and malignant spectrum. Despite rampant heterogeneity, the deletion events that follow p53 inactivation target functionally relevant pathways that can shape genomic evolution and remain fixed as homogenous events in diverse malignant populations. Thus, loss of p53—the ‘guardian of the genome’—is not merely a gateway to genetic chaos but, rather, can enable deterministic patterns of genome evolution that may point to new strategies for the treatment of TP53-mutant tumours.

Suggested Citation

  • Timour Baslan & John P. Morris & Zhen Zhao & Jose Reyes & Yu-Jui Ho & Kaloyan M. Tsanov & Jonathan Bermeo & Sha Tian & Sean Zhang & Gokce Askan & Aslihan Yavas & Nicolas Lecomte & Amanda Erakky & Anna, 2022. "Ordered and deterministic cancer genome evolution after p53 loss," Nature, Nature, vol. 608(7924), pages 795-802, August.
  • Handle: RePEc:nat:nature:v:608:y:2022:i:7924:d:10.1038_s41586-022-05082-5
    DOI: 10.1038/s41586-022-05082-5
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    Cited by:

    1. Peter Bailey & Rachel A. Ridgway & Patrizia Cammareri & Mairi Treanor-Taylor & Ulla-Maja Bailey & Christina Schoenherr & Max Bone & Daniel Schreyer & Karin Purdie & Jason Thomson & William Rickaby & R, 2023. "Driver gene combinations dictate cutaneous squamous cell carcinoma disease continuum progression," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    2. Yu-Yang Bi & Qiu Chen & Ming-Yuan Yang & Lei Xing & Hu-Lin Jiang, 2024. "Nanoparticles targeting mutant p53 overcome chemoresistance and tumor recurrence in non-small cell lung cancer," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    3. Mei Zhao & Tianxiao Wang & Frederico O. Gleber-Netto & Zhen Chen & Daniel J. McGrail & Javier A. Gomez & Wutong Ju & Mayur A. Gadhikar & Wencai Ma & Li Shen & Qi Wang & Ximing Tang & Sen Pathak & Mari, 2024. "Mutant p53 gains oncogenic functions through a chromosomal instability-induced cytosolic DNA response," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

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